Data-driven optimal tracking control for nonlinear systems with performance constraints via adaptive dynamic programming

This paper studies the optimal tracking problem for an unknown nonlinear systems subject to input and performance constraints. A data-driven constrained optimal tracking control scheme is designed to make the system states pursue the desired trajectory while minimizing the cost and strictly limiting...

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Veröffentlicht in:	Neural networks Jg. 191; S. 107852
Hauptverfasser:	Zhang, Lulu, Zhang, Huaguang, Yue, Xiaohui, Wang, Tianbiao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.11.2025
Schlagworte:	Adaptive dynamic programming Algorithms Computer Simulation Data-driven policy iteration Dynamic Programming Neural networks Neural Networks, Computer Nonlinear Dynamics Prescribed performance Data-driven policy iteration Prescribed performance Adaptive dynamic programming Neural networks
ISSN:	0893-6080, 1879-2782, 1879-2782
Online-Zugang:	Volltext
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