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Journal Articles

Optimality of Norm-Optimal Iterative Learning Control Among Linear Time Invariant Iterative Learning Control Laws in Terms of Balancing Robustness and Performance

Xinyi Ge, Jeffrey L. Stein, Tulga Ersal
Journal: Journal of Dynamic Systems, Measurement, and Control
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. April 2019, 141(4): 044502.
Paper No: DS-17-1555
https://doi.org/10.1115/1.4042091
Published Online: December 19, 2018
View Article titled, Optimality of Norm-Optimal Iterative Learning Control Among Linear Time Invariant Iterative Learning Control Laws in Terms of Balancing Robustness and Performance
Open the PDF for Optimality of Norm-Optimal Iterative Learning Control Among Linear Time Invariant Iterative Learning Control Laws in Terms of Balancing Robustness and Performance in another window
Topics: Errors, Filters, Iterative learning control, Robustness, Steady state, Uncertainty
Journal Articles

A Frequency-Dependent Filter Design Approach for Norm-Optimal Iterative Learning Control and Its Fundamental Trade-Off Between Robustness, Convergence Speed, and Steady-State Error

Xinyi Ge, Jeffrey L. Stein, Tulga Ersal
Journal: Journal of Dynamic Systems, Measurement, and Control
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. February 2018, 140(2): 021004.
Paper No: DS-17-1032
https://doi.org/10.1115/1.4037271
Published Online: September 20, 2017
View Article titled, A Frequency-Dependent Filter Design Approach for Norm-Optimal Iterative Learning Control and Its Fundamental Trade-Off Between Robustness, Convergence Speed, and Steady-State Error
Open the PDF for A Frequency-Dependent Filter Design Approach for Norm-Optimal Iterative Learning Control and Its Fundamental Trade-Off Between Robustness, Convergence Speed, and Steady-State Error in another window
Topics: Design, Errors, Filters, Iterative learning control, Robustness, Steady state, Tradeoffs, Uncertainty
Proceedings Papers

Optimization Based Weighting Matrices Design for Norm Optimal Iterative Learning Control

Xinyi Ge, Jeffrey L. Stein, Tulga Ersal
Proc. ASME. DSCC2016, Volume 2: Mechatronics; Mechatronics and Controls in Advanced Manufacturing; Modeling and Control of Automotive Systems and Combustion Engines; Modeling and Validation; Motion and Vibration Control Applications; Multi-Agent and Networked Systems; Path Planning and Motion Control; Robot Manipulators; Sensors and Actuators; Tracking Control Systems; Uncertain Systems and Robustness; Unmanned, Ground and Surface Robotics; Vehicle Dynamic Controls; Vehicle Dynamics and Traffic Control, V002T28A002, October 12–14, 2016
Paper No: DSCC2016-9758
https://doi.org/10.1115/DSCC2016-9758
View Paper titled, Optimization Based Weighting Matrices Design for Norm Optimal Iterative Learning Control
Open the PDF for Optimization Based Weighting Matrices Design for Norm Optimal Iterative Learning Control in another window
Topics: Design, Iterative learning control, Optimization, Errors, Steady state, Uncertainty, Modeling, Robustness, Simulation