Bias-Policy Iteration-Based Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems

This paper presents the bias-policy iteration, a modified adaptive dynamic programming method, to achieve optimal control design of discrete-time nonlinear systems. Firstly, the formulation of the bias-policy iteration method and the thorough convergence analysis are provided. By leveraging the bias...

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Veröffentlicht in:	IEEE transactions on circuits and systems. I, Regular papers Jg. 72; H. 8; S. 4284 - 4296
Hauptverfasser:	Jiang, Huaiyuan, Li, Xiang, Zhou, Bin, Cao, Xibin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive dynamic programming Adaptive systems Bias bias-policy iteration Circuits Control systems Convergence Cost function Discrete time systems Dynamic programming Iterative methods Mathematical models Nonlinear control Nonlinear systems Optimal control Symmetric matrices Vehicle dynamics
ISSN:	1549-8328, 1558-0806
Online-Zugang:	Volltext
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