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...

Full description

Bibliographic Details

Published in:	Information sciences Vol. 220; pp. 331 - 342
Main Authors:	Liu, Derong, Wang, Ding, Yang, Xiong
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 20.01.2013
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!