Adaptive dynamic programming for optimal control of unknown nonlinear discrete-time systems

An intelligent optimal control scheme for unknown nonlinear discrete-time systems with discount factor in the cost function is proposed in this paper. An iterative adaptive dynamic programming (ADP) algorithm via globalized dual heuristic programming (GDHP) technique is developed to obtain the optim...

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Veröffentlicht in:	2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL) S. 242 - 249
Hauptverfasser:	Derong Liu, Ding Wang, Dongbin Zhao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.04.2011
Schlagworte:	Adaptive critic designs adaptive dynamic programming approximate dynamic programming Artificial neural networks globalized dual heuristic programming Integrated optics intelligent control neural dynamic programming neural networks Neurons Optimal control Riccati equations
ISBN:	1424498872, 9781424498871
ISSN:	2325-1824
Online-Zugang:	Volltext
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