Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming

An intelligent-optimal control scheme for unknown nonaffine nonlinear discrete-time systems with discount factor in the cost function is developed in this paper. The iterative adaptive dynamic programming algorithm is introduced to solve the optimal control problem with convergence analysis. Then, t...

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Veröffentlicht in:	Automatica (Oxford) Jg. 48; H. 8; S. 1825 - 1832
Hauptverfasser:	Wang, Ding, Liu, Derong, Wei, Qinglai, Zhao, Dongbin, Jin, Ning
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.08.2012 Elsevier
Schlagworte:	Adaptive control systems Adaptive critic designs Adaptive dynamic programming Algorithmics. Computability. Computer arithmetics Applied sciences Approximate dynamic programming Computer science; control theory; systems Computer simulation Control system synthesis Control systems Control theory. Systems Cost function Dynamical systems Exact sciences and technology Globalized dual heuristic programming Intelligent control Neural network Nonlinear dynamics Nonlinearity Optimal control Theoretical computing Adaptive dynamic programming Globalized dual heuristic programming Optimal control Approximate dynamic programming Neural network Adaptive critic designs Intelligent control Control system analysis Adaptive algorithm Adaptive system Control program Non linear control Iterative method Fork join problem Adaptive method Heuristic programming Efficiency Cost function Dynamic programming Optimal control (mathematics) Generic programming Numerical convergence Non linear system Cost control Discrete time
ISSN:	0005-1098, 1873-2836
Online-Zugang:	Volltext
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