Abstract
In this paper, the fixed final time adaptive optimal regulation of discrete-time linear systems with unknown system dynamics is addressed. First, by transforming the linear systems into the input/output form, the adaptive optimal control design depends only on the measured outputs and past inputs instead of state measurements. Next, due to the time-varying nature of finite-horizon, a novel online adaptive estimator is proposed by utilizing an online approximator to relax the requirement on the system dynamics. An additional error term corresponding to the terminal constraint is defined and minimized overtime. No policy/value iteration is performed by the novel parameter update law which is updated once a sampling interval. The proposed control design yields an online and forward-in-time solution which enjoys great practical advantages. Stability of the system is demonstrated by Lyapunov analysis while simulation results verify the effectiveness of the proposed approach
Recommended Citation
Q. Zhao et al., "Fixed Final Time Optimal Adaptive Control of Linear Discrete-Time Systems in Input-Output Form," Journal of Artificial Intelligence and Soft Computing Research, vol. 3, no. 3, pp. 175 - 187, Sciendo, Jul 2013.
The definitive version is available at https://doi.org/10.2478/jaiscr-2014-0012
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
Publication Status
Open Access
International Standard Serial Number (ISSN)
2449-6499
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Sciendo, All rights reserved.
Publication Date
01 Jul 2013
