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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on cybernetics Vol. 43; no. 2; pp. 779 - 789
Main Authors:	Liu, Derong, Wei, Qinglai
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.04.2013 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!