Adaptive Dynamic Programming for Optimal Control of Unknown LTI System via Interval Excitation

In this article, we investigate the optimal control problem for an unknown linear time-invariant system. To solve this problem, a novel composite policy iteration algorithm based on adaptive dynamic programming is developed to adaptively learn the optimal control policy from system data. The existin...

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Veröffentlicht in:	IEEE transactions on automatic control Jg. 70; H. 7; S. 4896 - 4903
Hauptverfasser:	Ma, Yong-Sheng, Sun, Jian, Xu, Yong, Cui, Shi-Sheng, Wu, Zheng-Guang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptation models Adaptive algorithms Adaptive dynamic programming (ADP) Adaptive systems Approximation algorithms Control systems Convergence Data storage Dynamic programming Excitation Heuristic algorithms Iterative algorithms Linear systems Memory Optimal control policy iteration (PI) Time invariant systems Training
ISSN:	0018-9286, 1558-2523
Online-Zugang:	Volltext
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