Finite-Approximation-Error-Based Optimal Control Approach for Discrete-Time Nonlinear Systems

In this paper, a new iterative adaptive dynamic programming (ADP) algorithm is developed to solve optimal control problems for infinite-horizon discrete-time nonlinear systems with finite approximation errors. The idea is to use an iterative ADP algorithm to obtain the iterative control law that mak...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on cybernetics Jg. 43; H. 2; S. 779 - 789
Hauptverfasser:	Liu, Derong, Wei, Qinglai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.04.2013 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive dynamic programming (ADP) Algorithms approximate dynamic programming Approximation algorithms Approximation error Convergence Dynamic programming Dynamical systems finite approximation errors Heuristic algorithms Iterative algorithms Iterative methods Mathematical analysis Mathematical models Neural networks Nonlinear dynamics Nonlinear systems Optimal control Optimization Performance analysis Performance indices Studies
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!