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Charles W. Anderson
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Proceedings Papers

Dynamic Control of Soft Robots Using Reinforcement Learning

Ben Pawlowski, Charles W. Anderson, Jianguo Zhao
Proc. ASME. DSCC2019, Volume 2: Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations: Modeling, Analysis, and Control, V002T14A006, October 8–11, 2019
Paper No: DSCC2019-9181
DOI: https://doi.org/10.1115/DSCC2019-9181
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Topics: Robots, Control modeling, Degrees of freedom, Manipulators, Simulation results, Trajectories (Physics)
Proceedings Papers

Smoothly Combining Steady State Predictions With PI Control

David A. Hodgson, Peter M. Young, Charles W. Anderson, William S. Duff, Douglas C. Hittle, Daniel B. Olsen
Proc. ASME. DSCC2012-MOVIC2012, Volume 1: Adaptive Control; Advanced Vehicle Propulsion Systems; Aerospace Systems; Autonomous Systems; Battery Modeling; Biochemical Systems; Control Over Networks; Control Systems Design; Cooperative and Decentralized Control; Dynamic System Modeling; Dynamical Modeling and Diagnostics in Biomedical Systems; Dynamics and Control in Medicine and Biology; Estimation and Fault Detection; Estimation and Fault Detection for Vehicle Applications; Fluid Power Systems; Human Assistive Systems and Wearable Robots; Human-in-the-Loop Systems; Intelligent Transportation Systems; Learning Control, 403-411, October 17–19, 2012
Paper No: DSCC2012-MOVIC2012-8564
DOI: https://doi.org/10.1115/DSCC2012-MOVIC2012-8564
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Topics: Steady state, Control equipment, Errors, Feedforward control, Transients (Dynamics)
eBook Chapter

Covariance Regularization for Supervised Learning in High Dimensions

Series: ASME Press Select Proceedings
Publisher: ASME Press
Published: 2010
ISBN: 9780791859599
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Topics: Algorithms, Dimensions, Fittings, Principal component analysis