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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Vydáno v:	Neural networks Ročník 191; s. 107852
Hlavní autoři:	Zhang, Lulu, Zhang, Huaguang, Yue, Xiaohui, Wang, Tianbiao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Ltd 01.11.2025
Témata:	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
On-line přístup:	Získat plný text
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