An iterative adaptive dynamic programming algorithm for optimal control of unknown discrete-time nonlinear systems with constrained inputs

In this paper, the adaptive dynamic programming (ADP) approach is employed for designing an optimal controller of unknown discrete-time nonlinear systems with control constraints. A neural network is constructed for identifying the unknown dynamical system with stability proof. Then, the iterative A...

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Veröffentlicht in:	Information sciences Jg. 220; S. 331 - 342
Hauptverfasser:	Liu, Derong, Wang, Ding, Yang, Xiong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 20.01.2013
Schlagworte:	Adaptive dynamic programming Approximate dynamic programming Control constraints Globalized dual heuristic programming Neural networks Optimal control Approximate dynamic programming Adaptive dynamic programming Neural networks Control constraints Globalized dual heuristic programming Optimal control
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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