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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 Ang
In 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

Page range

66-71

Presentation Type

  • paper

Event name

IEEE Conference on Cybernetics and Intelligent Systems (CIS)

Event location

Manila, Philippines

Event type

conference

Event date

12-15 November 2013

Book 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

2017-12-15

First Open Access (FOA) Date

2017-12-15

First Compliant Deposit (FCD) Date

2017-12-15

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