TY - JOUR
T1 - Learning-based adaptive optimal output regulation of linear and nonlinear systems
T2 - an overview
AU - Gao, Weinan
AU - Jiang, Zhong Ping
N1 - Funding Information:
This work was supported in part by the U.S. National Science Foundation (EPCN-1903781, CMMI-2138206)
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to South China University of Technology and Academy of Mathematics and Systems Science, Chinese Academy of Sciences.
PY - 2022/2
Y1 - 2022/2
N2 - This paper reviews recent developments in learning-based adaptive optimal output regulation that aims to solve the problem of adaptive and optimal asymptotic tracking with disturbance rejection. The proposed framework aims to bring together two separate topics—output regulation and adaptive dynamic programming—that have been under extensive investigation due to their broad applications in modern control engineering. Under this framework, one can solve optimal output regulation problems of linear, partially linear, nonlinear, and multi-agent systems in a data-driven manner. We will also review some practical applications based on this framework, such as semi-autonomous vehicles, connected and autonomous vehicles, and nonlinear oscillators.
AB - This paper reviews recent developments in learning-based adaptive optimal output regulation that aims to solve the problem of adaptive and optimal asymptotic tracking with disturbance rejection. The proposed framework aims to bring together two separate topics—output regulation and adaptive dynamic programming—that have been under extensive investigation due to their broad applications in modern control engineering. Under this framework, one can solve optimal output regulation problems of linear, partially linear, nonlinear, and multi-agent systems in a data-driven manner. We will also review some practical applications based on this framework, such as semi-autonomous vehicles, connected and autonomous vehicles, and nonlinear oscillators.
KW - Adaptive dynamic programming
KW - Adaptive optimal output regulation
KW - Learning-based control
KW - Reinforcement learning
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U2 - 10.1007/s11768-022-00081-3
DO - 10.1007/s11768-022-00081-3
M3 - Review article
AN - SCOPUS:85124506081
SN - 2095-6983
VL - 20
JO - Control Theory and Technology
JF - Control Theory and Technology
IS - 1
ER -