2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 and Earlier
–
2024
Balta, E., Tilbury, D.M., and Barton, K. “Iterative Learning Spatial Height Control for Layerwise Processes” Automatica.
Bi, M., Estrada-Garcia, J., Tilbury, D.M., Shen, S., and Barton, K. “Heterogeneous Risk Management Using a Multi-agent Framework for Supply Chain Disruption Response.” IEEE Robotics and Automation Letters, doi: 10.1109/LRA.2024.3388838.
Xu, Y., Qamsane, Y., Puchala, S, Januszczak, A., Tilbury, D.M., and Barton, K. “A data-driven approach toward a machine-and system-level performance monitoring digital twin for production lines” Computers in Industry, https://doi.org/10.1016/j.compind.2024.104086.
Spiegel, I.A., Strijbosch, N., Oomen, T., de Rozario, R., and Barton, K. “Stable Inversion of Piecewise Affine Systems With Application to Feedforward and Iterative Learning Control.” IEEE Transactions on Automatic Control, 2024. https://doi.org/10.1109/TAC.2024.3382340
Bi, M., Kovalenko, I., Tilbury, D.M. and Barton, K., 2024. “Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems“ International Journal of Production Research, 62(5), pp.1737-1757.
Penley, D., Cho, T.H., Brooks, A.J., Ransohoff, L., Park, H., Herman, E., Zhao, E., Trejo, O., Barton, K. and Dasgupta, N.P., 2024. “Mechatronic Spatial Atomic Layer Deposition for Closed‐Loop and Customizable Process Control“ Advanced Materials Technologies, p.2301728.
Tse, LYL., McMillian, E., Barton, K., 2024. “Electrohydrodynamic printer with fluidic extractor“ US Patent App. 18/266,742.
Toner, T., Molazadeh, V., Saez, M., Tilbury, DM., Barton, K., 2024. “Sequential Manipulation of Deformable Linear Object Networks with Endpoint Pose Measurements using Adaptive Model Predictive Control“ arXiv preprint arXiv:2402.10372.
Baroudi, L., Barton, K., Cain, S.M. and Shorter, K.A., 2024. “Classification of human walking context using a single-point accelerometer“ Scientific Reports, 14(1), p.3039.
Alleyne, A., and Barton, K., 2024. “The Seventh IEEE Conference on Control Technology and Applications [Conference Reports].” IEEE Control Systems Magazine, 44(1), pp.81-85.
–
2023
Zhang, Z., George, A., Alam, M.F., Eubel, C., Vallabh, C., Shtein, M., Barton, K., and Hoelzle, D.J., 2023. “An additive manufacturing testbed to evaluate machine learning-based autonomous manufacturing“. Journal of Manufacturing Science and Engineering, pp.1-17.
Bi, M., Tilbury, D.M., Shen, S., and Barton, K., 2023. “A Distributed Approach for Agile Supply Chain Decision-Making Based on Network Attributes“. IEEE Transactions on Automation Science and Engineering.
Cho, T.H., Farjam, N., Barton, K., and Dasgupta, N.P., 2023. “Subtractive Patterning of Nanoscale Thin Films Using Acid‐Based Electrohydrodynamic‐Jet Printing“. Small Methods, p.2301407.
Caesar, B., Barton, K., Tilbury, D. M., and Fay, A. “Digital Twin Framework for Reconfiguration Management: Concept & Evaluation.” IEEE Access, 2023.
Baroudi, L., Barton, K., Cain, S.M., and Shorter, K.A., 2023. “Classification of Human Walking Context using a Single-Point Accelerometer“.
Wilson, J., Fu, Y., Friesen, J., Ewen, P., Capodieci, A., Jayakumar, P., Barton, K., and Ghaffari, M., 2023. “ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable Uncertainty“. arXiv preprint arXiv:2310.16020.
Tse, L.Y.L., and Barton, K., University of Michigan, 2023. “Combined electrohydrodynamic and aerosol printing“. U.S. Patent Application 18/020,070.
Toothman, M., Braun, B., Bury, S.J., Moyne, J., Tilbury, D.M., Ye, Y., and Barton, K., 2023. “A digital twin framework for prognostics and health management“. Computers in Industry, 150, p.103948.
Toothman, M., Braun, B., Bury, S.J., Moyne, J., Tilbury, D.M., and Barton, K., 2023, August. “An Adaptive, State-Based Framework for Fault Prediction in Rotating Equipment“. In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) (pp. 1-6). IEEE.
Van de Vosse, M., Toner, T.W., Wu, M.J., Tilbury, D.M., and Barton, K.L., 2023, August. “Using Economic Iterative Learning Control for Time-Optimal Control of a Redundant Manipulator“. In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) (pp. 1-7). IEEE.
Estrada-Garcia, J.A., Bi, M., Tilbury, D.M., Barton, K., and Shen, S., 2023, August. “A multi-objective mixed-integer programming approach for supply chain disruption response with lead-time awareness“. In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) (pp. 1-6). IEEE.
Tse, L.Y.L., Barton, K., and McMillan, E.J., University of Michigan, 2023. “Multi-nozzle electrohydrodynamic printing with diverters“. U.S. Patent Application 18/011,506.
Tse, L.Y.L., Barton, K., and McMillan, E.J., 2023. “Electrohydrodynamic printer with self-cleaning extractor“. U.S. Patent Application 18/011,509.
Wu, M., Vermillion, C., and Barton, K., 2023, August. “Game Theoretic Wind Farm Control Based on Level-k Cognitive Modeling“. In 2023 IEEE Conference on Control Technology and Applications (CCTA) (pp. 934-940). IEEE.
Farjam, N., Wu, M., Hawa, A., and Barton, K., 2023, August. “Input Shaping for Control of a High-Resolution Electrohydrodynamic Jet Printing Process“. In 2023 IEEE Conference on Control Technology and Applications (CCTA) (pp. 156-161). IEEE.
Xargay, E., Antoniak, G., Barton, K., and Shorter, K.A., 2023, August. “A low-order model of dolphin swimming dynamics: fluke flexibility and energetics“. In 2023 IEEE Conference on Control Technology and Applications (CCTA) (pp. 663-669). IEEE.
Antoniak, G., Xargay, E., Gabaldon, J., Barton, K., Popa, B.I., and Shorter, K.A., 2023, August. “Estimating propulsive efficiency of bottlenose dolphins during steady-state swimming“. In 2023 IEEE Conference on Control Technology and Applications (CCTA) (pp. 675-680). IEEE.
Bahrami, A., Hawa, A., Yue, K., and Barton, K., 2023, August. “Dimensionless Analysis of the Transition from Continuous Jet Mode to Natural Pulsation in Electrohydrodynamic Jet Printing“. In 2023 IEEE Conference on Control Technology and Applications (CCTA) (pp. 143-149). IEEE.
Toner, T., Saez, M., Tilbury, D.M., and Barton, K., 2023. “Opportunities and challenges in applying reinforcement learning to robotic manipulation: An industrial case study“. Manufacturing Letters, 35, pp.1019-1030.
Iezzi, B., Shtein, M., Kheirabadi, Z.A., and Barton, K., University of Michigan, 2023. “Electrohydrodynamic jet printed photonic devices“. U.S. Patent 11,712,889.
Zhang, D., Wang, Y., Gabaldon, J., Lauderdale, L.K., Miller, L.J., Barton, K., and Shorter, K.A., 2023. “Dynamics and Energetics of Bottlenose Dolphin (Tursiops truncatus) Fluke-and-Glide Gait“. Journal of Experimental Biology, pp.jeb-245237.
Sim, J.B., Shah, K.N., Saez, M., Abell, J., Zhou, Y., Faris, J., Tilbury, D.M., and Barton, K., 2023, June. “Full Stack Virtual Commissioning: Requirements Framework to Bridge Gaps in Current Virtual Commissioning Process“. In International Manufacturing Science and Engineering Conference (Vol. 87240, p. V002T07A016). American Society of Mechanical Engineers.
Spiegel, I. A., Strijbosch, N., de Rozario, R., Oomen, T., and Barton, K. “Index of Nomenclature for Stable Inversion of Piecewise Affine Systems.” Technical Report 2. Barton Research Group Publications. https://brg.engin.umich.edu/wp-content/uploads/sites/131/2023/10/StabInvPWA_Nomenclature_01.pdf
Hawa, A., Bahrami, A., and Barton, K., 2023, June. “The effect of voltage on the initiation of natural pulsation in electrohydrodynamic jet printing“. In International Manufacturing Science and Engineering Conference (Vol. 87233, p. V001T01A009). American Society of Mechanical Engineers.
Baroudi, L., Cain, S.M., Shorter, K.A., and Barton, K., 2023, May. “Enhancing the Efficacy of Lower-body Assistive Devices Through the Understanding of Human Movement in the Real World“. In 2023 IEEE International Conference on Robotics and Automation (ICRA) (pp. 11351-11358). IEEE.
Wilson, J., Fu, Y., Zhang, A., Song, J., Capodieci, A., Jayakumar, P., Barton, K., and Ghaffari, M., 2023, May. “Convolutional Bayesian kernel inference for 3d semantic mapping“. In 2023 IEEE International Conference on Robotics and Automation (ICRA) (pp. 8364-8370). IEEE.
Bi, M., Kovalenko, I., Tilbury, D.M., and Barton, K., 2023. “Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems“. International Journal of Production Research, pp.1-21.
Toner, T., Saez, M., Tilbury, D.M., and Barton, K. “Opportunities and Challenges in Applying Reinforcement Learning to Robotic Manipulation: an Industrial Case Study.” Manufacturing Letters, 2023.
Toothman, M., Braun, B., Bury, S.J., Moyne, J., Tilbury, D.M., Ye, Y., and Barton, K. “Overcoming Challenges Associated with Developing Industrial Prognostics and Health Management Solutions.” Sensors 23(8), pp.4009, 2023.
Kovalenko, I., Barton, K., Moyne, J., and Tilbury, D.M., 2023. “Opportunities and Challenges to Integrate Artificial Intelligence Into Manufacturing Systems: Thoughts From a Panel Discussion“. IEEE Robotics and Automation Magazine.
Cho, T.H., Herman, E., Trejo, O., Rose, M., Ransohoff, L., Dasgupta, N., Barton, K., Park, H., and Brooks, A., University of Michigan, 2023. “Mechatronic spatial atomic layer deposition system with closed-loop feedback control of parallelism and component alignment“. U.S. Patent Application 17/801,972.
Toothman, M., Braun, B., Bury, S., Moyne, J., Tilbury, D., and Barton, K., 2023, March. “An Adaptive Framework for State-Based Prediction of Rotating Equipment Failures“. In 2023 Spring Meeting & 19th Global Congress on Process Safety. AIChE.
Toothman, M., Braun, B., Bury, S., Moyne, J., Tilbury, D., and Barton, K., 2023, March. “An Adaptive Framework for State-Based Prediction of Rotating Equipment Failures“. In 2023 Spring Meeting & 19th Global Congress on Process Safety. AIChE.
Afkhami, Z., Hoelzle, D., and Barton, K. “Robust Higher-Order Spatial Iterative Learning Control for Additive Manufacturing systems.” IEEE Transactions on Control Systems Technology, 2023.
Balta, E.C., Pease, M., Moyne, J., Barton, K., and Tilbury, D. M. “Digital Twin-Based Cyber-Attack Detection Framework for Cyber-Physical Manufacturing Systems.” IEEE Transactions on Automation Science and Engineering, 2023.
Tse, L.Y.L., McMillan, E.J., and Barton, K., University of Michigan, 2023. “Printer with gas extraction of printing fluid from printing nozzle“. U.S. Patent 11,548,277.
Yue, K., Hawa, A., Bahrami, A., and Barton, K., 2023. “Characterizing Key Process Strategies for Conductive Submicron Electrohydrodynamic Jet Printing“. IFAC-PapersOnLine, 56(3), pp.121-126.
Baroudi, L., Barton, K., Cain, S.M., and Shorter, K.A., 2023. “Understanding the Influence of Context on Real-World Walking Energetics“. bioRxiv, pp.2023-06.
–
2022
Lee, H., Toner, T., Tilbury, D.M., and Barton, K. “Multi-sensor aided deep pose tracking.” IFAC-PapersOnLine, 55(37), pp.326-332.
Cardoza, S., Tse, L.Y.L., Barton, K., and Gourgou, E., 2022. “Three-Dimensional Arenas for the Assessment of Caenorhabditis elegans Behavior. International Journal of Bioprinting“, 8(4).
Farjam, N., Spiegel, I.A., and Barton, K., 2022. “High-fidelity Modeling and Validation of Electrohydrodynamic Jet Printing“. Materialia, 26, p.101578.
Gabaldon, J.T., Zhang, D., Rocho-Levine, J., Moore, M.J., Van der Hoop, J., Barton, K., and Shorter, K.A., 2022. “Tag-based estimates of bottlenose dolphin swimming behavior and energetics. Journal of Experimental Biology“, 225(22), p.jeb244599.
Fu, B., Smith, W., Rizzo, D., Castanier, M., Ghaffari, M., and Barton, K. “Robust Task Scheduling for Heterogeneous Robot Teams under Capability Uncertainty.” IEEE Transactions on Robotics, 39(2), pp.1087-1105.
Barton, K., Lin, Y., Mao, Z. M., Tilbury, D. M., and Balta, E. “Centralized framework for small batch manufacturing.” U.S. Patent 11,494,662., https://patents.google.com/patent/US20200012947A1/en.
Fu, B., Smith, W., Rizzo, D., Castanier, M., Ghaffari, M., and Barton, K. “Learning Task Requirements and Agent Capabilities for Multi-agent Task Allocation“. arXiv preprint arXiv:2211.03286.
Baroudi, L., Yan, X., Newman, M.W., Barton, K., Cain, S.M., and Shorter, K.A., 2022. “Investigating walking speed variability of young adults in the real world“. Gait & Posture.
Bi, M., Chen, G., Tilbury, D.M., Shen, S., and Barton, K., 2022. “A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions.” IEEE 18th International Conference on Automation Science and Engineering (CASE), 2022, pp. 235–241.
Alam, M.F., Shtein, M., Barton, K., and Hoelzle, D., 2022. “Reinforcement Learning Enabled Autonomous Manufacturing Using Transfer Learning and Probabilistic Reward Modeling“. IEEE Control Systems Letters, 7, pp.508-513.
Rorem, B.A., Cho, T.H., Farjam, N., Lenef, J.D., Barton, K., Dasgupta, N.P., and Guo, L.J., 2022. “Integrating Structural Colors with Additive Manufacturing Using Atomic Layer Deposition“. ACS Applied Materials & Interfaces, 14(27), pp.31099-31108.
Toner, T., Tilbury, D.M., and, Barton, K., 2022. “Probabilistically Safe Mobile Manipulation in an Unmodeled Environment with Automated Feedback Tuning“. In 2022 American Control Conference (ACC) (pp. 1214-1221). IEEE.
Alam, M.F., Shtein, M., Barton, K., and Hoelzle, D.J., 2022. “Sample efficient transfer in reinforcement learning for high variable cost environments with an inaccurate source reward model“. In 2022 American Control Conference (ACC) (pp. 2892-2898). IEEE.
Qamsane, Y., Phillips, J.R., Savaglio, C., Warner, D., James, S.C., and Barton, K., 2022. “Open Process Automation-and Digital Twin-Based Performance Monitoring of a Process Manufacturing System“. IEEE Access, 10, pp.60823-60835.
Rose, M., Barton, K., Dasgupta, N., Ransohoff, L., Herman, E., Trejo, O., Huber, C., Cho, T.H., Kazyak, E., and Pannier, C.P. “Integrated electrohydrodynamic jet printing and spatial atomic layer deposition system for area selective-atomic layer deposition.” United States Patent and Trademark Office, 2022. https://patents.google.com/patent/US20210028006A1/en
Cobb, M., Reed, J., Wu, M., Mishra, K.D., Barton, K., and Vermillion, C., 2022. “Flexible-time receding horizon iterative learning control with application to marine hydrokinetic energy systems.” IEEE Transactions on Control Systems Technology.
Kovalenko, I., Moyne, J., Bi, M., Balta, E.C., Ma, W., Qamsane, Y., Zhu, X., Mao, Z.M., Tilbury, D.M., and Barton, K., 2022. “Toward an Automated Learning Control Architecture for Cyber-Physical Manufacturing Systems.” IEEE Access.
Kovalenko, I., Balta, E.C., Tilbury, D.M., and Barton, K., 2022. “Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-Based Decision Framework.” IEEE Transactions on Automation Science and Engineering.
Wilson, J., Song, J., Fu, Y., Zhang, A., Capodieci, A., Jayakumar, P., Barton, K., and Ghaffari, M., “MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments.” IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 8439-8446, July 2022
Gabaldon, J., Zhang, D., Lauderdale, L., Miller, L., Johnson-Roberson, M., Barton, K., and Shorter, K.A., 2022. “Computer-vision object tracking for monitoring bottlenose dolphin habitat use and kinematics.” PloS one, 17(2), p.e0254323.
Zhao, Y., Toothman, M., Moyne, J., and Barton, K., 2022. “An Adaptive Modeling Framework for Bearing Failure Prediction.” Electronics, 11(2), p.257.
Afkhami, Z., Hoelzle, D., and Barton, K., 2022. “Synthesis of model predictive control and iterative learning control for topography regulation in additive manufacturing.” IFAC-PapersOnLine, 55(12), pp.500-507.
Reed, J., Wu, M., Barton, K., and Vermillion, C., 2022. “Iterative Learning-Based Kite Path Optimization for Maximum Energy Harvesting.”
Zhang, D., Wang, Y., Gabaldon, J., Lauderdale, L., Miller, L., Barton, K., and Shorter, K.A., 2022. “Dynamics and Energetics of Bottlenose Dolphins (Tursiops truncatus) Fluke-and-Glide Gait.” bioRxiv.
Saez, M., Barton, K., Maturana, F., and Tilbury, D.M. “Modeling framework to support decision making and control of manufacturing systems considering the relationship between productivity, reliability, quality, and energy consumption.” Journal of Manufacturing Systems, 62, pp.925-938, 2022.
–
2021
Toothman, M., Barton, K., Braun, B., Bury, S.J., Dessauer, M., Henderson, K., Moyne, J., and Wright, R., 2020, November. “Trend-Based Assessment of Industrial Rotating Equipment Health.” In 2020 Virtual AIChE Annual Meeting. AIChE.
Wu, M., Vermillion, C., and Barton, K., 2021, December. “Point-to-Point Repetitive Control with Optimal Tracking Time.” In 2021 60th IEEE Conference on Decision and Control (CDC) (pp. 5845-5850). IEEE.
Reed, J., Wu, M., Barton, K., Vermillion, C., and Mishra, K.D., 2021, December. “Library-Based Norm-Optimal Iterative Learning Control.” In 2021 60th IEEE Conference on Decision and Control (CDC) (pp. 5851-5857). IEEE.
Afkhami, Z., Hoelzle, D., and Barton, K., 2021, December. “Higher-Order Spatial Iterative Learning Control for Additive Manufacturing.” In 2021 60th IEEE Conference on Decision and Control (CDC) (pp. 6547-6553). IEEE.
Mishra, K.D., Reed, J., Wu, M., Barton, K., and Vermillion, C., 2021, December. “Hierarchical Structures for Economic Repetitive Control.” In 2021 60th IEEE Conference on Decision and Control (CDC) (pp. 5838-5844). IEEE.
Fu, B., Kathuria, T., Rizzo, D., Castanier, M., Yang, X.J., Ghaffari, M., and Barton, K. “Simultaneous Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty.” Journal of Autonomous Vehicles and Systems, 1(4), p.041005., 2021.
Balta, E.C., Barton, K., Tilbury, D.M., Rupenyan, A., and Lygeros, J. “Learning-based repetitive precision motion control with mismatch compensation.” arXiv preprint arXiv:2111.10246
Spiegel, I.A., Strijbosch, N., Oomen, T., and Barton, K. “Iterative learning control with discrete‐time nonlinear nonminimum phase models via stable inversion.” Journal of International Journal of Robust and Nonlinear Control, 31(16), pp.7985-8006, 2021. https://doi.org/10.1002/rnc.5726
Zhang, Z., Zhang, D., Gabaldon, J., Goodbar, K., West, N., Barton, K., and Shorter, K.A. “Investigation of Environmentally Dependent Movement of Bottlenose Dolphins (Tursiops truncatus).” Journal of Zoological and Botanical Gardens, 2(3), pp.335-348, 2021.
Nakano, T., Daiki, K., Chen, H., Kovalenko, I., Balta, E., Qamsane, Y., and Barton, K. “Manufacturing Line Design Configuration with Optimized Resource Groups.” In 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), pp. 625-632. Lyon, 2021.
Wu, M., Cobb, M., Reed, J., Mishra, K., Vermillion, C., and Barton, K. “Receding Horizon Iterative Learning Control for Continuously Operated Systems.” arXiv preprint arXiv:2108.06866
Unnikrishnan, A., Wilson, J., Gan, L., Capodieci, A., Jayakumar, P., Barton, K., and Ghaffari, M., “Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference.” IEEE Access, vol. 10, pp. 97954-97970, 2022
Totah, D., Menon, M., Gates, D.H., and Barton, K. “Design and evaluation of the SMApp: A stiffness measurement apparatus for ankle–foot orthoses.” Mechatronics, 77, p.102572, 2021
Totah, D., Barton, K., and Gates, D.H. “The effect of rotational speed on ankle-foot orthosis properties.” Journal of Biomechanics, 123, p.110483, 2021.
Wang, H., Qamsane, Y., Moyne, J., and Barton, K. “Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification.” In International Manufacturing Science and Engineering Conference (Vol. 85079, p. V002T09A006). American Society of Mechanical Engineers, 2021.
Alam, M.F., Shtein, M., Barton, K., and Hoelzle, D.J. “A physics-guided reinforcement learning framework for an autonomous manufacturing system with expensive data.” In 2021 Annual American Control Conference (ACC), pp. 484-490, New Orleans, 2021.
Toothman, M., Braun, B., Bury, S.J., Dessauer, M., Henderson, K., Wright, R., Tilbury, D.M., Moyne, J., and Barton, K. “Trend-based repair quality assessment for industrial rotating equipment.” In 2021 Annual American Control Conference (ACC), pp. 502-507, New Orleans, 2021.
Warner, D., James, S., Barton, K., Qamsane, Y., and Clemons, B. “Process Manufacturing Digital Twin-Open Architecture Testbed Framework.” Applied Dynamics International Ann Arbor Midow Chemical Company Michigan Univ Ann Arbor, 2021.
Cobb, M., Reed, J., Daniels, J., Siddiqui, A., Wu, M., Fathy, H., Barton, K., and Vermillion, C. “Iterative Learning-Based Path Optimization With Application to Marine Hydrokinetic Energy Systems.” IEEE Transactions on Control Systems Technology, 2021.
Sibal, R., Zhang, D., Rocho-Levine, J., Shorter, K. A., and Barton, K. “Bidirectional LSTM Recurrent Neural Network Plus Hidden Markov Model for Wearable Sensor-Based Dynamic State Estimation.” In ASME Letters in Dynamic Systems and Control, vol. 1, no. 2, pp. 021002 (In Progress: April 2021). https://doi.org/10.1115/1.4046685
Qamsane, Y., Moyne, J., Toothman, M., Kovalenko, I., Balta, E.C., Faris, J., Tilbury, D.M., and Barton, K. “A Methodology to Develop and Implement Digital Twin Solutions for Manufacturing Systems.” IEEE Access, 9, pp.44247-44265, 2021.
Spiegel, I. A. “Hybrid Systems, Iterative Learning Control, and Non-minimum Phase.” Ph.D. Dissertation, University of Michigan, Mechanical Engineering, 2021. https://arxiv.org/abs/2102.13070
Tse, L.Y.L., Barton, K., and McMILLAN, E. “Multi-nozzle electrohydrodynamic printing.” United States Patent and Trademark Office, 2021. Patent, https://patents.google.com/patent/US20210070043A1
Tse, L.Y.L. and Barton, K. “Multi-nozzle print head assembly with ink retraction mechanism.” United States Patent and Trademark Office, 2021. Patent no. 10,940,689, https://patents.google.com/patent/US10940689B1
Tan, C., Barton, K., Hu, S.J., and Freiheit, T. “Integrating optimal process and supplier selection in personalised product architecture design.” International Journal of Production Research, pp. 1–20, 2021. https://doi.org/10.1080/00207543.2021.1893901
Barton, K., Tse, L.Y.L., and McMILLAN, E. “Device and method for curing a printed material.” United States Patent and Trademark Office, 2021. https://patents.google.com/patent/US20210053281A1/en
Balta, E. C., Kovalenko, I., Spiegel, I. A., Tilbury, D. M., and Barton, K. “Model Predictive Control of Priced Timed Automata Encoded with First-Order Logic.” IEEE Transactions on Control Systems Technology, 2021. https://doi.org/10.1115/1.4046685
Tse, L.Y.L., McMillan, E. J., and Barton, K. “Aerosol printing of specialty fluids.” United States Patent and Trademark Office, 2021. Patent Pending, https://patents.google.com/patent/US20210008880A1/en
Balta, E. C., Tilbury, D. M., and Barton, K. “Layer-to-Layer Stability of Linear Layerwise Spatially Varying Systems: Applications in Fused Deposition Modeling.” IEEE Transactions on Control Systems Technology, 2021. https://doi.org/10.1109/TCST.2020.3044237
Bi, M., Kovalenko, I., Tilbury, D.M., and Barton, K. “Dynamic Resource Allocation Using Multi-Agent Control for Manufacturing Systems.” IFAC-PapersOnLine, 54(20), pp.488-494, 2021.
Toothman, M., Braun, B., Bury, S.J., Dessauer, M., Henderson, K., Phillips, S., Ye, Y., Tilbury, D.M., Moyne, J., and Barton, K. “A digital twin framework for mechanical system health state estimation,” in Modeling, Estimation, and Control Conference 2021, 2021, pp. 1–7.
Farjam, N., Spiegel, I.A., and Barton, K. “A High-Fidelity Modeling Framework for Near-Field Electrohydrodynamic Jet Printing.” IFAC-PapersOnLine, 54(20), pp.475-481, 2021.
Zhang, D., Goodbar, K., West, N., Lesage, V., Parks, S.E., Wiley, D., Barton, K., and Shorter, K.A. “Pose-gait analysis for cetaceans with biologging tags.” bioRxiv, 2021
Cardoza, S.N., Tse, L.Y.L., Barton, K., and Gourgou, E. “3-dimensional arenas for the assessment of C. elegans behavior.” bioRxiv, 2021
Gabaldon, J., Zhang, D., Lauderdale, L., Miller, L., Johnson-Roberson, M., Barton, K., and Shorter, K.A. “Vision-based monitoring and measurement of bottlenose dolphins’ daily habitat use and kinematics.” bioRxiv, 2021
Afkhami, Z., Pannier, C., Aarnoudse, L., Hoelzle, D., and Barton, K. “Spatial Iterative Learning Control for Multi-material Three-Dimensional Structures.” ASME Letters in Dynamic Systems and Control, vol. 1, no. 1, pp. 011011, 2021. https://doi.org/10.1115/1.4046576
2020
Toothman, M., Braun, B., Bury, S. J., Dessauer, M., Henderson, K., Wright, R., Tilbury, D. M., Moyne, J., and Barton, K. “Trend-Based Repair Quality Assessment for Industrial Rotating Equipment.” IEEE Control Systems Letters, vol. 5, no. 5, pp. 1675-1680, 2020. https://doi.org/10.1109/LCSYS.2020.3041214
Cho, T. H., Farjam, N., Allemang, C. R., Pannier, C. P., Kazyak, E., Huber, C., Rose, M., Trejo, O., Peterson, R. L., Barton, K., and Dasgupta, N. P. “Area-Selective Atomic Layer Deposition Patterned by Electrohydrodynamic Jet Printing for Additive Manufacturing of Functional Materials and Devices.” ACS Nano, vol. 14, no. 12, pp. 17262-17272, 2020. https://doi.org/10.1021/acsnano.0c07297
Toothman, M., Barton, K., Braun, B., Bury, S. J., Dessauer, M., Henderson, K., Moyne, J., and Wright, R. “Trend-Based Assessment of Industrial Rotating Equipment Health.” Presented at 2020 Virtual AlChE Annual Meeting.
Fu, B., Smith, W., Rizzo, D., Castanier, M., and Barton, K. “Heterogeneous Vehicle Routing and Teaming with Gaussian Distributed Energy Uncertainty.” Presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Las Vegas, 2020. https://doi.org/10.1109/IROS45743.2020.9341433
Iezzi, B., Afkhami, Z., Sanvordenker, S., Hoelzle, D., Barton, K., and Shtein, M. “Electrohydrodynamic Jet Printing of 1D Photonic Crystals: Part II – Optical Design and Reflectance Characteristics.” Advanced Materials Technologies, vol. 5, no. 10, pp. 2000431, 2020. https://doi.org/10.1002/admt.202000431
Afkhami, Z., Iezzi, B., Hoelzle, D., Shtein, M., and Barton, K. “Electrohydrodynamic Jet Printing of One‐Dimensional Photonic Crystals: Part I – An Empirical Model for Multi‐Material Multi‐Layer Fabrication.” Advanced Materials Technologies, vol. 5, no. 10, pp. 2000386, 2020. https://doi.org/10.1002/admt.202000386
Farjam, N., Cho, T. H., Dasgupta, N. P., and Barton, K. “Subtractive patterning: High-resolution electrohydrodynamic jet printing with solvents.” Applied Physics Letters, vol. 117, no. 13, pp. 133702, 2020. https://doi.org/10.1063/5.0021038
Aksoy, D., Balta, E. C., Tilbury, D. M., and Barton, K. “A Control-Oriented Model for Bead Cross-Sectional Geometry in Fused Deposition Modeling.” In 2020 Annual American Control Conference (ACC), pp. 474-480. Denver, 2020. https://doi.org/10.23919/ACC45564.2020.9147769
Newman-Casey, P. A., Payne, N., Gangwani, R., Sample, A., Barton, K. L., Cain, S., Burke, D., and Shorter, K. A. “Precisely capturing eye drop use behavior.” Investigative Ophthalmology & Visual Science, vol. 61, no. 7, pp. 4292, 2020.
Moyne, J., Qamsane, Y., Balta, E. C., Kovalenko, I., Faris, J., Barton, K., and Tilbury, D. M. “A Requirements Driven Digital Twin Framework: Specification and Opportunities.” IEEE Access, vol. 8, pp. 107781-107801, 2020. https://doi.org/10.1109/ACCESS.2020.3000437
Spiegel, I. A., van de Laar, T., Oomen, T., and Barton, K. “A Control-Oriented Dynamical Model of Deposited Droplet Volume in Electrohydrodynamic Jet Printing.” In 2020 ASME Dynamic Systems and Control Conference (DSCC). Pittsburgh, 2020. https://doi.org/10.1115/DSCC2020-3238
Baroudi, L., Newman, M. W., Jackson, E. A., Barton, K., Shorter, K. A., and Cain, S. M. “Estimating Walking Speed in the Wild.” Frontiers in Sports and Active Living, vol. 2, no. 583848, 2020. https://doi.org/10.3389/fspor.2020.583848
Kovalenko, I., Balta, E.C., Qamsane, Y., Koman, P.D., Zhu, X., Lin, Y., Tilbury, D.M., Mao, Z.M., and Barton, K. “Developing the Workforce for Next-Generation Smart Manufacturing Systems: A Multidisciplinary Research Team Approach.” ASTM Smart and Sustainable Manufacturing Systems, 2020. https://doi.org/10.1520/SSMS20200009. Preprint PDF.
Balta, E. C., Kovalenko, I., Spiegel, I. A., Tilbury, D. M., and Barton, K. “Details of the First-Order Logic Representation in ‘Model Predictive Control of Priced Timed Automata Encoded with First-Order Logic.’” Technical Report 1. Barton Research Group Publications. https://brg.engin.umich.edu/wp-content/uploads/sites/131/2020/10/FOLDetails-MPCofPTA.pdf
Landers, R. G., Barton, K., Devasia, S., Kurfess, T., Prabhakar, P., and Tomizuka, M. “A Review of Manufacturing Process Control.” Journal of Manufacturing Science and Engineering, vol. 142, no. 11, 2020. https://doi.org/10.1115/1.4048111
Strijbosch, N., Spiegel, I., Barton, K., and Oomen, T. “Monotonically Convergent Iterative Learning Control for Piecewise Affine Systems.” Presented at 21st International Federation of Automatic Control (IFAC) World Congress. Berlin, 2020. https://doi.org/10.1016/j.ifacol.2020.12.1937
Tan, C., Chung, H., Barton, K., Hu, S. J., and Freiheit, T. “Incorporating customer personalization preferences in product architecture design.” Journal of Manufacturing Systems, vol. 56, pp. 72-83, 2020. https://doi.org/10.1016/j.jmsy.2020.05.006
Wu, M., Cobb, M., Vermillion, C., and Barton, K. “A Flexible-Time Iterative Learning Control Framework for Linear, Time-Based Performance Objectives.” In 2020 American Control Conference (ACC), pp. 4792-4797. Denver, 2020. https://doi.org/10.23919/ACC45564.2020.9147962
Quann, M., Ojeda, L., Smith, W., Rizzo, D., Castanier, M., and Barton, K. “Power Prediction for Heterogeneous Ground Robots Through Spatial Mapping and Sharing of Terrain Data.” IEEE Robotics and Automation Letters, vol. 5, no. 2, pp 1579-1586, 2020. https://doi.org/10.1109/LRA.2020.2967717
Payne, N., Gangwani, R., Barton, K., Sample, A. P., Cain, S. M., Burke, D. T., Newman-Case, P. A., and Shorter, K. A. “Medication Adherence and Liquid Level Tracking System for Healthcare Provider Feedback.” Sensors, vol. 20, no. 8, pp. 2435, 2020. https://doi.org/10.3390/s20082435
–
2019
Aarnoudse, L., Pannier, C., Afkhami, Z., Oomen, T., and Barton, K. “Multi-Layer Spatial Iterative Learning Control for Micro-Additive Manufacturing.” IFAC-PapersOnLine, vol. 52, no. 15, pp. 97-102, 2019. https://doi.org/10.1016/j.ifacol.2019.11.657
Barton, K., and Leo, T. L. Y. “Rapidly-wetted pin-style electro-hydrodynamic jet print head.” United States Patent and Trademark Office, 2019. Patent no. 10,507,652, https://patents.google.com/patent/US10406750B2/en
Quann, M., Ojeda, L., Smith, W., Rizzo, D., Castanier, M., and Barton, K. “Off-road ground robot path energy cost prediction through probabilistic spatial mapping.” Journal of Field Robotics, vol. 37, no. 3, pp. 421-439, 2019. https://doi.org/10.1002/rob.21927
Cobb, M., Wu, M., Barton, K., and Vermillion, C. “Flexible-Time Economic Iterative Learning Control: A Case Study in Airborne Wind Energy.” In 2019 IEEE 58th Conference on Decision and Control (CDC), pp. 5580-5586. Nice, 2019. https://doi.org/10.1109/CDC40024.2019.9029557
Afkhami, Z., Pannier, C., Aarnoudse, L., Hoelzle, D., and Barton, K. “Spatial Iterative Learning Control for Multi-Material 3D-Structures.” In 2019 ASME Dynamic Systems and Control Conference (DSCC), vol. 1. Park City, 2019. https://doi.org/10.1115/DSCC2019-9192
Saez, M. A., Maturana, F. P., Barton, K., and Tilbury, D. M. “Context-Sensitive Modeling and Analysis of Cyber-Physical Manufacturing Systems for Anomaly Detection and Diagnosis.” IEEE Transactions on Automation Science and Engineering, pp. 1–12, 2019. https://doi.org/10.1109/TASE.2019.2918562
Sibal, R., Zhang, D., Rocho-Levine, J., Shorter, K. A., and Barton, K. “Bidirectional LSTM Recurrent Neural Network Plus Hidden Markov Model for Wearable Sensor Based Dynamic State Estimation.” In 2019 ASME Dynamic Systems and Control Conference (DSCC), vol. 2. Park City, 2019. https://doi.org/10.1115/DSCC2019-9198
Yang, Z., Teng, H., Goldhawk, J., Kovalenko, I., Balta, E. C., Lopez, F., Tilbury, D., and Barton, K. “A Vision-Based Framework for Enhanced Quality Control in a Smart Manufacturing System.” In 2019 ASME 14th International Manufacturing Science and Engineering Conference (MSEC), vol. 1. Erie, 2019. https://doi.org/10.1115/MSEC2019-2966
Spiegel, I. A., Sammons, P., and Barton, K. “Hybrid Modeling of Electrohydrodynamic Jet Printing.” IEEE Transactions on Control Systems Technology, pp. 1–14, 2019. https://doi.org/10.1109/TCST.2019.2939963
Barton, K., Kapila, S., and Leo, T. L. Y. “Fiber-reinforced 3D printing.” United States Patent and Trademark Office, 2019. Patent no. 10,406,750, https://patents.google.com/patent/US10406750B2/en
Quann, M., Ojeda, L., Smith, W., Rizzo, D., Castanier, M., and Barton, K. “Chance constrained reachability in environments with spatially varying energy costs.” Robotics and Autonomous Systems, vol. 119, pp. 1 – 12, 2019. https://doi.org/10.1016/j.robot.2019.05.009
Balta, E. C., Tilbury, D. M., and Barton, K. “A Digital Twin Framework for Performance Monitoring and Anomaly Detection in Fused Deposition Modeling.” In 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), pp. 823-829. Vancouver, 2019. https://doi.org/10.1109/COASE.2019.8843166
Qamsane, Y., Chen, C., Balta, E. C., Kao, B., Mohan, S., Moyne, J., Tilbury, D., and Barton, K. “A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.” In 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), pp. 1394-1401. Vancouver, 2019. https://doi.org/10.1109/COASE.2019.8843269
Ocker, F., Kovalenko, I., Barton, K., Tilbury, D., and Vogel-Heuser, B. “A Framework for Automatic Initialization of Multi-Agent Production Systems Using Semantic Web Technologies.” IEEE Robotics and Automation Letters, vol. 4, no. 4, pp. 4330-4337, 2019. https://doi.org/10.1109/LRA.2019.2931825
Spiegel, I. A., and Barton, K. “A Closed-Form Representation of Piecewise Defined Systems and their Integration with Iterative Learning Control.” In 2019 Annual American Control Conference (ACC), pp. 2327-2333. Philadelphia, 2019. https://doi.org/10.23919/ACC.2019.8814823
Cobb, M., Barton, K., Fathy, H., and Vermillion, C. “An Iterative Learning Approach for Online Flight Path Optimization for Tethered Energy Systems Undergoing Cyclic Spooling Motion.” In 2019 Annual American Control Conference (ACC), pp. 2164-2170. Philadelphia, 2019. https://doi.org/10.23919/ACC.2019.8814773
Qamsane, Y., Balta, E. C., Moyne, J., Tilbury, D., and Barton, K. “Dynamic Rerouting of Cyber-Physical Production Systems in Response to Disruptions Based on SDC Framework.” In 2019 Annual American Control Conference (ACC), pp. 3650-3657. Philadelphia, 2019. https://doi.org/10.23919/ACC.2019.8814412
Balta, E. C., Tilbury, D., and Barton, K. “Control-Oriented Modeling and Layer-to-Layer Stability for Fused Deposition Modeling: A Kernel Basis Approach.” In 2019 Annual American Control Conference (ACC), pp. 4727-4733. Philadelphia, 2019. https://doi.org/10.23919/ACC.2019.8814304
Pannier, C., Wu, M., Hoelzle, D., and Barton, K. “LPV models for jet-printed heightmap control.” In 2019 Annual American Control Conference (ACC), pp. 5402-5407. Philadelphia, 2019. https://doi.org/10.23919/ACC.2019.8814778
Zhang, D., Gabaldon, J., Lauderdale, L., Johnson-Roberson, M., Miller, L. J., Barton, K., and Shorter, K. A. “Localization and Tracking of Uncontrollable Underwater Agents: Particle Filter Based Fusion of On-Body IMUs and Stationary Cameras.” In 2019 IEEE International Conference on Robotics and Automation (ICRA), pp. 6575-6581. Montreal, 2019. https://doi.org/10.1109/ICRA.2019.8794141
Zhang, M., Chen, C., Kao, B., Qamsane, Y., Shao, Y., Lin, Y., Shi, E., Mohan, S., Barton, K., Moyne, J., and Mao, Z. M. “Towards Automated Safety Vetting of PLC Code in Real-World Plants.” In 2019 IEEE 40th Symposium on Security and Privacy (SP), pp. 522-538. San Francisco, 2019. https://doi.org/10.1109/SP.2019.00034
Barton, K., Bristow, D., Hoelzle, D., and Mishra, S. “Mechatronics advances for the next generation of AM process control.” Mechatronics, vol. 64, 2019. https://doi.org/10.1016/j.mechatronics.2019.102281
Sammons, P. M., Hoelzle, D., and Barton, K. “Time-Scale Transformed Iterative Learning Control for a Class of Nonlinear Systems With Uncertain Trial Duration.” IEEE Transactions on Control Systems Technology, pp. 1–8, 2019. https://doi.org/10.1109/TCST.2019.2920615
Lin, Y., Shao, Y., Zhu, X., Guo, J., Barton, K., and Mao, Z. M. “ADD: Application and Data-Driven Controller Design.” In Proceedings of the 2019 ACM Symposium on SDN Research, pp. 84–90. SOSR ’19, ACM, New York, NY, USA, 2019. ISBN 978-1-4503-6710-3. https://doi.org/10.1145/3314148.3314351
Kovalenko, I., Ryashentseva, D., Vogel-Heuser, B., Tilbury, D., and Barton, K. “Dynamic Resource Task Negotiation to Enable Product Agent Exploration in Multi-Agent Manufacturing Systems.” IEEE Robotics and Automation Letters, vol. 4, no. 3, pp. 2854–2861, 2019. https://doi.org/10.1109/LRA.2019.2921947
Cobb, M. K., Barton, K., Fathy, H., and Vermillion, C. “Iterative Learning-Based Path Optimization for Repetitive Path Planning, With Application to 3-D Crosswind Flight of Airborne Wind Energy Systems.” IEEE Transactions on Control Systems Technology, pp. 1–13, 2019. https://doi.org/10.1109/TCST.2019.2912345
Gabaldon, J., Turner, E. L., Johnson-Roberson, M., Barton, K., Johnson, M., Anderson, E. J., and Shorter, A. K. “Integration calibration and experimental verification of a speed sensor for swimming animals.” IEEE Sensors Journal, 2019. https://doi.org/10.1109/JSEN.2019.2895806
Totah, D., Menon, M., Jones-Hershinow, C., Barton, K., and Gates, D. H. “The Impact of Ankle-Foot Orthosis Stiffness on Gait: A Systematic Literature Review.” Gait & posture, vol. 69, pp. 101–111, 2019. https://doi.org/10.1016/j.gaitpost.2019.01.020
Kovalenko, I., Tilbury, D., and Barton, K. “The model-based product agent: A control oriented architecture for intelligent products in multi-agent manufacturing systems.” Control Engineering Practice, vol. 86, pp. 105-117, 2019. https://doi.org/10.1016/j.conengprac.2019.03.009
–
2018
Altin, B. and Barton, K. “Rohrs Example Revisited: On the Robustness of Adaptive Iterative Learning Control.” Asian Journal of Control, vol. 20, pp. 993–1002, 2018. https://doi.org/10.1002/asjc.1788
Altin, B., Wang, Z., Hoelzle, D. J., and Barton, K. “Robust Monotonically Convergent Spatial Iterative Learning Control: Interval Systems Analysis via Discrete Fourier Transform.” IEEE Transactions on Control Systems Technology, vol. 0, no. 0, pp. 1–13, 2018. https://doi.org/10.1109/TCST.2018.2868039
Balta, E. C., Lin, Y., Barton, K., Tilbury, D. M., and Mao, Z. M. “Production as a service: A digital manufacturing framework for optimizing utilization.” IEEE Transactions on Automation Science and Engineering, vol. 15, no. 4, pp. 1483–1493, 2018. https://doi.org/10.1109/TASE.2018.2842690
Balta, E. C., Tilbury, D. M., and Barton, K. “A Centralized Framework for System-Level Control and Management of Additive Manufacturing Fleets.” In 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), pp. 1071–1078. Munich, 2018. https://doi.org/10.1109/COASE.2018.8560434
Barton, K., Maturana, F., and Tilbury, D. “Closing the Loop in IoT-enabled Manufacturing Systems: Challenges and Opportunities.” In 2018 Annual American Control Conference (ACC), pp. 5503–5509. Milwaukee, 2018. https://doi.org/10.23919/ACC.2018.8431577
Lopez, F., Shao, Y., Mao, Z. M., Moyne, J., Barton, K., and Tilbury, D. “A software-defined framework for the integrated management of smart manufacturing systems.” Manufacturing Letters, vol. 15, pp. 18–21, 2018. https://doi.org/10.1016/j.mfglet.2017.12.015
Pannier, C. P., Ojeda, L., Wang, Z., Hoelzle, D., and Barton, K. “An electrohydrodynamic jet printer with integrated metrology.” Mechatronics, vol. 56, pp. 268–276, 2018. https://doi.org/10.1016/j.mechatronics.2018.01.001
Quann, M., Ojeda, L., Smith, W., Rizzo, D., Castanier, M., and Barton, K. “Ground Robot Terrain Mapping and Energy Prediction in Environments with 3-D Topography.” In 2018 Annual American Control Conference (ACC), pp. 3532–3537. Milwaukee, 2018. https://doi.org/10.23919/ACC.2018.8430767
Saez, M., Lengieza, S., Maturana, F., Barton, K., and Tilbury, D. “A Data Transformation Adapter for Smart Manufacturing Systems with Edge and Cloud Computing Capabilities.” In 2018 IEEE International Conference on Electro/Information Technology (EIT), pp. 519–524. Rochester, 2018. https://doi.org/10.1109/EIT.2018.8500153
Saez, M., Maturana, F. P., Barton, K., and Tilbury, D. M. “Real-time manufacturing machine and system performance monitoring using internet of things.” IEEE Transactions on Automation Science and Engineering, vol. 15, no. 4, pp. 1735–1748, 2018. https://doi.org/10.1109/TASE.2017.2784826
Totah, D., Ojeda, L., Johnson, D. D., Gates, D., Provost, E. M., and Barton, K. “Low-back electromyography EMG data-driven load classification for dynamic lifting tasks.” PloS one, vol. 13, no. 2, 2018. https://doi.org/10.1371/journal.pone.0192938
Wang, Z., Pannier, C. P., Barton, K., and Hoelzle, D. J. “Application of robust monotonically convergent spatial iterative learning control to microscale additive manufacturing.” Mechatronics, vol. 56, no. September, pp. 157–165, 2018. https://doi.org/10.1016/j.mechatronics.2018.09.003
Wang, Z., Sammons, P. M., Pannier, C. P., Barton, K., and Hoelzle, D. J. “System Identification of a Discrete Repetitive Process Model for Electrohydrodynamic Jet Printing.” In 2018 Annual American Control Conference (ACC), pp. 4464–4471. Milwaukee, 2018. https://doi.org/10.23919/ACC.2018.8431303
Zhang, D., Shorter, K. A., Rocho-Levine, J., van der Hoop, J., Moore, M., and Barton, K. “Behavior Inference From Bio-Logging Sensors: A Systematic Approach for Feature Generation Selection and State Classification.” In ASME 2018 Dynamic Systems and Control Conference. 2018. https://doi.org/10.1115/DSCC2018-9213
Zheng, G., Kovalenko, I., Barton, K., and Tilbury, D. “Integrating Human Operators into Agent-based Manufacturing Systems: A Table-top Demonstration.” Procedia Manufacturing, vol. 17, pp. 326–333, 2018. https://doi.org/10.1016/j.promfg.2018.10.053
–
2017
Altin, B. and Barton, K. “Exponential stability of nonlinear differential repetitive processes with applications to iterative learning control.” Automatica, vol. 81, pp. 369–376, 2017. https://doi.org/10.1016/j.automatica.2017.04.004
Altin, B., Willems, J., Oomen, T., and Barton, K. “Iterative Learning Control of Iteration-Varying Systems via Robust Update Laws with Experimental Implementation.” Control Engineering Practice, vol. 62, no. November 2016, pp. 36–45, 2017. https://doi.org/10.1016/j.conengprac.2017.02.005
Balta, E. C., Jain, K., Lin, Y., Tilbury, D., Barton, K., and Mao, Z. M. “Production as a service: A centralized framework for small batch manufacturing.” In 2017 13th IEEE Conference on Automation Science and Engineering (CASE), pp. 382–389. Xi’an, 2017. https://doi.org/10.1109/COASE.2017.8256133
Cobb, M., Barton, K., Fathy, H., and Vermillion, C. “Iterative learning-based waypoint optimization for repetitive path planning with application to airborne wind energy systems.” In 2017 IEEE 56th Annual Conference on Decision and Control (CDC), pp. 2698–2704. Melbourne, 2017. https://doi.org/10.1109/CDC.2017.8264051
Diagne, M., Sammons, P. M., Hoelzle, D., and Barton, K. L. “Hybrid Continuous-Discrete Repetitive Process Modeling of Meniscus Dynamics in Electrohydrodynamic Jet Printing.” IFAC-PapersOnLine, vol. 50, no. 1, pp. 13414–13419, 2017. https://doi.org/10.1016/j.ifacol.2017.08.2285
Gabaldon, J., Zhang, D., Barton, K., Johnson-Roberson, M., and Shorter, A. K. “A framework for enhanced localization of marine mammals using auto-detected video and wearable sensor data fusion.” In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2505–2510. Vancouver, 2017. https://doi.org/10.1109/IROS.2017.8206069
Kovalenko, I., Barton, K., and Tilbury, D. “Design and implementation of an intelligent product agent architecture in manufacturing systems.” In 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1–8. Limassol, 2017. ISBN 978-1-5090-6505-9. https://doi.org/10.1109/ETFA.2017.8247652
Kovalenko, I., Saez, M., Barton, K., and Tilbury, D. “Smart: A system-level manufacturing and automation research testbed.” Smart and sustainable manufacturing systems, vol. 1, no. 1, pp. 232–261, 2017. https://doi.org/10.1520/SSMS20170006
Lim, I., Hoelzle, D. J., and Barton, K. L. “A multi-objective iterative learning control approach for additive manufacturing applications.” Control Engineering Practice, vol. 64, pp. 74–87, 2017. https://doi.org/10.1016/j.conengprac.2017.03.011
Lopez, F., Saez, M., Shao, Y., Balta, E. C., Moyne, J., Mao, Z. M., Barton, K., and Tilbury, D. “Categorization of anomalies in smart manufacturing systems to support the selection of detection mechanisms.” IEEE Robotics and Automation Letters, vol. 2, no. 4, pp. 1885–1892, 2017. https://doi.org/10.1109/LRA.2017.2714135
Pannier, C. P., Diagne, M., Spiegel, I. A., Hoelzle, D. J., and Barton, K. “A Dynamical Model of Drop Spreading in Electrohydrodynamic Jet Printing.” Journal of Manufacturing Science and Engineering, vol. 139, no. 11, pp. 111008–1 to 111008–6, 2017. https://doi.org/10.1115/1.4037436
Putman, N. M., Maturana, F., Barton, K., and Tilbury, D. M. “Virtual fusion: a hybrid environment for improved commissioning in manufacturing systems.” International Journal of Production Research, vol. 55, no. 21, pp. 6254–6265, 2017. https://doi.org/10.1080/00207543.2017.1334974
Quann, M., Ojeda, L., Smith, W., Rizzo, D., Castanier, M., and Barton, K. “An energy-efficient method for multi-robot reconnaissance in an unknown environment.” In 2017 American Control Conference (ACC), pp. 2279–2284. Seattle, 2017. https://doi.org/10.23919/ACC.2017.7963292
Saez, M., Maturana, F., Barton, K., and Tilbury, D. “Anomaly detection and productivity analysis for cyber-physical systems in manufacturing.” In 2017 13th IEEE Conference on Automation Science and Engineering (CASE), pp. 23–29. Xi’an, 2017. ISBN 9781509067800. https://doi.org/10.1109/COASE.2017.8256070
Shorter, K. A., Shao, Y., Ojeda, L., Barton, K., Rocho-Levine, J., van der Hoop, J., and Moore, M. “A day in the life of a dolphin: Using bio-logging tags for improved animal health and well-being.” Marine Mammal Science, vol. 33, pp. 785–802, 2017. https://doi.org/10.1111/mms.12408
Spiegel, I., Kovalenko, I., Hoelzle, D., Sammons, P. M., and Barton, K. L. “Hybrid modeling and identification of jetting dynamics in electrohydrodynamic jet printing.” In 2017 IEEE Conference on Control Technology and Applications (CCTA), pp. 695–701. Mauna Lani, 2017. ISBN 9781509021826. https://doi.org/10.1109/CCTA.2017.8062543
Tan, C., Hu, S. J., Chung, H., Barton, K., Piya, C., Ramani, K., and Banu, M. “Product personalization enabled by assembly architecture and cyber physical systems.” CIRP Annals, vol. 66, no. 1, pp. 33–36, 2017. https://doi.org/10.1016/j.cirp.2017.04.106
Totah, D., Kovalenko, I., Saez, M., and Barton, K. “Manufacturing Choices for Ankle-Foot Orthoses: A Multi-objective Optimization.” Procedia CIRP, vol. 65, pp. 145–150, 2017. https://doi.org/10.1016/j.procir.2017.04.014
–
2016
Alleyne, A., Barton, K., Mishra, S., Ferreira, P., and Rogers, J. “High Resolution Sensing and Control of Electrohydrodynamic Jet Printing.” United States Patent and Trademark Office, 2016. Patent no. 9,278,522 B2, https://patents.google.com/patent/US9278522B2/en
D’Souza, K., Bayrak, A. E., Kang, N. K., Wang, H., Altin, B., Barton, K., Hu, J., Papalambros, P., Epureanu, B. I., and Gerth, R. “An integrated design approach for evaluating the effectiveness and cost of a fleet.” The Journal of Defense Modeling and Simulation, vol. 13, no. 4, pp. 381–397, 2016. https://doi.org/10.1177/1548512916651939
Hoelzle, D. J. and Barton, K. L. “On spatial iterative learning control via 2-D convolution: stability analysis and computational efficiency.” IEEE Transactions on Control Systems Technology, vol. 24, no. 4, pp. 1504–1512, 2016. https://doi.org/10.1109/TCST.2015.2501344
Porter, M., Raghavan, V., Lin, Y., Mao, Z. M., Barton, K., and Tilbury, D. “Production as a service: Optimizing utilization in manufacturing systems.” In ASME 2016 Dynamic Systems and Control Conference. 2016. https://doi.org/10.1115/DSCC2016-9908
Wang, Z., Pannier, C., Ojeda, L., Barton, K., and Hoelzle, D. J. “An application of spatial iterative learning control to micro-additive manufacturing.” In 2016 American Control Conference (ACC), pp. 345–359. 2016. https://doi.org/10.1109/ACC.2016.7524940
–
2015
Altin, B. and Barton, K. “Learning control of linear iteration varying systems with varying references through robust invariant update laws.” In 2015 American Control Conference (ACC), pp. 4880–4885. Chicago, 2015. https://doi.org/10.1109/ACC.2015.7172098
Altin, B. and Barton, K. “On linearized stability of differential repetitive processes and iterative learning control.” In 2015 54th IEEE Conference on Decision and Control (CDC), pp. 6064–6069. Osaka, 2015. https://doi.org/10.1109/CDC.2015.7403173
Pannier, C. P., Barton, K., Hoelzle, D., and Wang, Z. “A model of liquid-drop spreading for electrohydrodynamic jet printing.” In ASME 2015 Dynamic Systems and Control Conference. Columbus, 2015. https://doi.org/10.1115/DSCC2015-9995
Putman, N. M., Maturana, F., Barton, K., and Tilbury, D. M. “Virtual fusion: Integrating virtual components into a physical manufacturing system.” IFAC-PapersOnLine, vol. 48, no. 3, pp. 904–909, 2015. https://doi.org/10.1016/j.ifacol.2015.06.198
Quann, M. and Barton, K. “An Iterative Learning Control Approach to Multi-Agent Formations.” In ASME 2015 Dynamic Systems and Control Conference. Ohio, 2015. https://doi.org/10.1115/DSCC2015-9872
Saez, M., Maturana, F., Barton, K., and Tilbury, D. “Real-Time Hybrid Simulation of Manufacturing Systems for Performance Analysis and Control.” In 2015 IEEE International Conference on Automation Science and Engineering (CASE), pp. 526–531. Gothenburg, 2015. https://doi.org/10.1109/CoASE.2015.7294133
Tse, L. and Barton, K. “Airflow assisted printhead for high-resolution electrohydrodynamic jet printing onto non-conductive and tilted surfaces.” Applied Physics Letters, vol. 107, no. 5, pp. 054103–054103, 2015. https://doi.org/10.1063/1.4928482
Tse, L.-Y. Y. L. and Barton, K. “Airflow Assisted Electrohydrodynamic Jet Printing: An Advanced Micro-Additive Manufacturing Technique.” In ASME 2015 International Manufacturing Science and Engineering Conference, pp. V001T02A066–V001T02A066. ASME, Charlotte, North Carolina, 2015. ISBN 978-0-7918-5682-6. https://doi.org/10.1115/MSEC2015-9403
–
2014
Altin, B. and Barton, K. “Robust iterative learning for high precision motion control through L1 adaptive feedback.” Mechatronics, vol. 24, no. 6, pp. 549–561, 2014. https://doi.org/10.1016/j.mechatronics.2014.04.007
Altin, B., Tse, L. Y. L., and Barton, K. “Visual Feedback Based Droplet Size Regulation in Electrohydrodynamic Jet Printing.” In Proceedings of the ASME 2014 Dynamic Systems and Control Conference, pp. 1–5. ASME, San Antonio, TX, 2014. https://doi.org/10.1115/DSCC2014-6110
Barton, K. and Leo, T. L. Y. “Electrohydrodynamic jet printing device with extractor.” United States Patent and Trademark Office, 2014. Patent no. 9,415,590, https://patents.google.com/patent/US9415590B2/en
Hoelzle, D. J. and Barton, K. L. “A new spatial iterative learning control approach for improved micro-additive manufacturing.” In 2014 American Control Conference, pp. 1805–1810. 2014. https://doi.org/10.1109/ACC.2014.6859233
Lim, I. and Barton, K. L. “Pareto iterative learning control: Optimized control for multiple performance objectives.” Control Engineering Practice, vol. 26, no. 1, pp. 125–135, 2014. https://doi.org/10.1016/j.conengprac.2014.01.011
Lim, I., Barton, K. L., and Hoelzle, D. J. “Spatial ILC for Multi-Objective Systems.” In ASME 2014 Dynamic Systems and Control Conference. San Antonio, 2014. https://doi.org/10.1115/DSCC2014-6208
Parmar, G., Barton, K., and Awtar, S. “Large dynamic range nanopositioning using iterative learning control.” Precision engineering, vol. 38, no. 1, pp. 48–56, 2014. https://doi.org/10.1016/j.precisioneng.2013.07.003
Tse, L. and Barton, K. “A field shaping printhead for high-resolution electrohydrodynamic jet printing onto non-conductive and uneven surfaces.” Applied Physics Letters, vol. 104, no. 14, pp. 143510–143510, 2014. https://doi.org/10.1063/1.4871103
–
2013
Alleyne, A., Barton, K., Mishra, S., Ferreira, P., and Rogers, J. “High resolution sensing and control of electrohydrodynamic jet printing.” United States Patent and Trademark Office, 2013. Patent no. 8,562,095 B2, http://www.google.com/patents/US8562095
Altin, B. and Barton, K. “L1adaptive control in an iterative learning control framework: Stability robustness and design trade-offs.” In 2013 American Control Conference, pp. 6697–6702. Washington, D.C., 2013. https://doi.org/10.1109/ACC.2013.6580891
Barton, K. and Kingston, D. “Systematic surveillance for UAVs: A feedforward iterative learning control approach.” In 2013 American Control Conference, pp. 5917–5922. Washington, D.C., 2013. https://doi.org/10.1109/ACC.2013.6580766
Lim, I. and Barton, K. L. “Pareto optimization-based iterative learning control.” In 2013 American Control Conference, pp. 5171–5176. Washington, D.C., 2013. ISBN 9781479901784. https://doi.org/10.1109/ACC.2013.6580642
–
2012
Hoelzle, D. J. and Barton, K. “Flexible iterative learning control using a library based interpolation scheme.” In 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), pp. 3978–3984. Maui, 2012. https://doi.org/10.1109/CDC.2012.6425808
Sutanto, E., Alleyne, A. G., Shigeta, K., Rogers, J. A., and Barton, K. L. “High throughput electrohydrodynamic-jet printing system.” In ASME/ISCIE 2012 International Symposium on Flexible Automation, pp. 255–261. risk.asmedigitalcollection.asme.org, St. Louis, 2012. https://doi.org/10.1115/ISFA2012-7131
–
2011 and Earlier (Prior to Work at the University of Michigan)
Barton, K., Mishra, S., Alleyne, A., Ferreira, P., and Rogers, J. “Control of high-resolution electrohydrodynamic jet printing.” Control Engineering Practice, vol. 19, no. 11, pp. 1266–1273, 2011. https://doi.org/10.1016/j.conengprac.2011.05.009
Barton, K., Mishra, S., and Xargay, E. “Robust Iterative Learning Control: L1 adaptive feedback control in an ILC framework.” In Proceedings of the 2011 American Control Conference. San Francisco, 2011. https://doi.org/10.1109/ACC.2011.5990872
Barton, K. L. and Alleyne, A. G. “A norm optimal approach to time-varying ILC with application to a multi-axis robotic testbed.” IEEE Transactions on Control Systems Technology, vol. 19, no. 1, pp. 166–180, 2011. https://doi.org/10.1109/TCST.2010.2040476
Barton, K. L., Hoelzle, D. J., Alleyne, A. G., and Johnson, A. J. W. “Cross-coupled iterative learning control of systems with dissimilar dynamics: design and implementation.” International Journal of Control, vol. 84, no. 7, pp. 1223–1233, 2011. https://doi.org/10.1080/00207179.2010.500334
Pikul, J. H., Graf, P., Mishra, S., Barton, K., Kim, Y.-K., Rogers, J. A., and Alleyne, A. G. “High precision electrohydrodynamic printing of polymer onto microcantilever sensors.” IEEE Sensors Journal, vol. 11, no. 10, 2011. https://doi.org/10.1109/JSEN.2011.2127472
Poellmann, M. J., Barton, K. L., Mishra, S., and Johnson, A. J. W. “Patterned Hydrogel Substrates for Cell Culture with Electrohydrodynamic Jet Printing.” Macromolecular Bioscience, vol. 11, no. 9, pp. 1164–1168, 2011. https://doi.org/10.1002/mabi.201100004
Poellmann, M. J., Barton, K. L., Mishra, S., and Johnson, A. J. W. “Macromol. Biosci. 9/2011.” Macromolecular Bioscience, vol. 11, no. 9, pp. Cover Picture–Cover Picture, 2011. https://doi.org/10.1002/mabi.201190025
Barton, K. and Alleyne, A. “Precision coordination and motion control of multiple systems via iterative learning control.” In Proceedings of the 2010 American Control Conference, pp. 1272–1277. Baltimore, 2010. https://doi.org/10.1109/ACC.2010.5531129
Barton, K., Jain, N., Mastellone, S., Sharon, Y., and Sundaram, S. “Symposium and Control and Modeling of Alternative Energy Systems [Conference Reports].” Tech. rep., IEEE Control Systems Magazine, 2010. https://doi.org/10.1109/MCS.2009.935229
Barton, K., Mishra, S., Shorter, K. A., Alleyne, A., Ferreira, P., and Rogers, J. “A desktop electrohydrodynamic jet printing system.” Mechatronics, vol. 20, no. 5, pp. 611–616, 2010. https://doi.org/10.1016/j.mechatronics.2010.05.004
Barton, K. L., Bristow, D. A., and Alleyne, A. G. “A numerical method for determining monotonicity and convergence rate in iterative learning control.” International Journal of Control, vol. 83, no. 2, pp. 219–226, 2010. https://doi.org/10.1080/00207170903131177
Bristow, D. A., Barton, K. L., and Alleyne, A. G. The Control Systems Handbook, chap. Iterative learning control. CRC Press, Boca Raton, 2nd edn., 2010. https://doi.org/10.1201/b10384
Mishra, S., Barton, K., and Alleyne, A. “Control of high-resolution electrohydrodynamic jet printing.” In Proceedings of the 2010 American Control Conference, pp. 6537–6542. Baltimore, 2010. https://doi.org/10.1109/ACC.2010.5531420
Mishra, S., Barton, K. L., Alleyne, A. G., Ferreira, P. M., and Rogers, J. A. “High-speed and drop-on-demand printing with a pulsed electrohydrodynamic jet.” Journal of Micromechanics and Microengineering, vol. 20, no. 9, pp. 095026–095026, 2010. https://doi.org/10.1088/0960-1317/20/9/095026
Pikul, J. H., Graf, P., Mishra, S., Barton, K., Kim, Y., Rogers, J. A., Alleyne, A., Ferreira, P. M., and King, W. P. “High precision polymer deposition onto microcantilever sensors using electrohydrodynamic printing.” In SENSORS, 2010 IEEE, pp. 2239–2242. Kona, 2010. https://doi.org/10.1109/ICSENS.2010.5690653
Barton, K. and Alleyne, A. “Norm optimal ILC with time-varying weighting matrices.” In 2009 American Control Conference, pp. 264–270. St. Louis, 2009. https://doi.org/10.1109/ACC.2009.5160475
Barton, K., Alleyne, A., and Bristow, D. “An improved method for calculating iterative learning control convergence rate.” In ASME 2008 Dynamic Systems and Control Conference, pp. 561–568. researchgate.net, Ann Arbor, 2008. https://doi.org/10.1115/DSCC2008-2180
Barton, K., van de Wijdeven, J., Alleyne, A., Bosgra, O., and Steinbuch, M. “Norm optimal cross-coupled iterative learning control.” In 2008 47th IEEE Conference on Decision and Control, pp. 3020–3025. Cancun, 2008. https://doi.org/10.1109/CDC.2008.4738973
Barton, K. L. and Alleyne, A. G. “A cross-coupled iterative learning control design for precision motion control.” IEEE Transactions on Control Systems Technology, vol. 16, no. 6, pp. 1218–1231, 2008. https://doi.org/10.1109/TCST.2008.919433
Barton, K. L., Bristow, D. A., and Alleyne, A. G. “Design of a linear time-varying cross-coupled iterative learning controller.” In 2008 American Control Conference, pp. 3914–3920. Seattle, 2008. https://doi.org/10.1109/ACC.2008.4587104
Barton, K. L. and Alleyne, A. G. “Cross-coupled ILC for improved precision motion control: Design and implementation.” In 2007 American Control Conference, pp. 5496–5502. New York, 2007. https://doi.org/10.1109/ACC.2007.4282725
Park, J.-U., Hardy, M., Kang, S. J., Barton, K., Adair, K., Mukhopadhyay, D. K., Lee, C. Y., Strano, M. S., Alleyne, A. G., Georgiadis, J. G., Ferreira, P. M., and Rogers, J. A. “High-resolution electrohydrodynamic jet printing.” Nature Materials, vol. 6, no. 10, pp. 782–789, 2007. https://doi.org/10.1038/nmat1974
Barton, K. L. and Alleyne, A. G. “Cross-Coupled Iterative Learning Control for Manufacturing Applications: Design and Implementation.” In ASME 2006 International Mechanical Engineering Congress and Exposition, pp. 223–233. Chicago, 2006. https://doi.org/10.1115/IMECE2006-15024
Stimpert, A. K., Au, W. W. L., Wiley, D. N., Shorter, K. A., Barton, K. L., Johnson, M. P., Ware, C., and Arsenault, R. “Linking sound production and dive behavior in feeding humpback whales.” The Journal of the Acoustical Society of America, vol. 119, no. 5, pp. 3404–3404, 2006. https://doi.org/10.1121/1.4786757
Stimpert, A. K., Wiley, D. N., Barton, K. L., Johnson, M. P., Lammers, M. O., and Au, W. W. L. “Sound production patterns from humpback whales in a high latitude foraging area.” The Journal of the Acoustical Society of America, vol. 118, no. 3, pp. 1940–1940, 2005. https://doi.org/10.1121/1.4781058