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Adaptive optimal control for linear discrete time-varying systems
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posted on 2023-06-09, 09:25 authored by Shuzhi Sam Ge, Chen Wang, Yanan LiYanan Li, Tong Heng Lee, Marcelo H AngIn this paper, adaptive optimal control is proposed for time-varying discrete linear system subject to unknown system dynamics. The idea of the method is a direct application of the Q-learning adaptive dynamic programming for time-varying system. In order to derive the optimal control policy, a actor-critic structure is constructed and time-varying least square method is adopted for parameter adaptation. It has shown that the derived control policy can robustly stabilize the time varying system and guarantee an optimal control performance at the same time. As no particular system information is required throughout the process, the proposed techniques provide a potential feasible solution to a large variety of control application. The validity of the proposed method is verified through simulation studies.
History
Publication status
- Published
File Version
- Accepted version
External DOI
Page range
66-71Presentation Type
- paper
Event name
IEEE Conference on Cybernetics and Intelligent Systems (CIS)Event location
Manila, PhilippinesEvent type
conferenceEvent date
12-15 November 2013Book title
2013 IEEE Conference on Cybernetics and Intelligent Systems (CIS)Department affiliated with
- Engineering and Design Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2017-12-15First Open Access (FOA) Date
2017-12-15First Compliant Deposit (FCD) Date
2017-12-15Usage metrics
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