Title
An Approximate Optimal Control Approach for Robust Stabilization of a Class of Discrete-Time Nonlinear Systems With Uncertainties.
Abstract
In this correspondence paper, the robust stabilization of a class of discrete-time nonlinear systems with uncertainties is investigated by using an approximate optimal control approach. The robust control problem is transformed into an optimal control problem under some proper restrictions on the bound of the uncertainties. For the purpose of dealing with the transformed optimal control, the discrete-time generalized Hamilton-Jacobi-Bellman equation is introduced and then solved using the successive approximation method with neural network implementation. In addition, a numerical simulation is included to illustrate the effectiveness of the robust control strategy.
Year
DOI
Venue
2016
10.1109/TSMC.2015.2466191
IEEE Trans. Systems, Man, and Cybernetics: Systems
Keywords
Field
DocType
Optimal control,Robust control,Nonlinear systems,Approximation methods,Robustness,Neural networks,Cost function
Mathematical optimization,Nonlinear system,Optimal control,Computer simulation,Discrete time nonlinear systems,Control theory,Computer science,Shaping,Robustness (computer science),Artificial neural network,Robust control
Journal
Volume
Issue
ISSN
46
5
2168-2216
Citations 
PageRank 
References 
28
0.77
9
Authors
5
Name
Order
Citations
PageRank
Ding Wang1187068.16
Derong Liu25457286.88
Hongliang Li31833101.92
Biao Luo455423.80
Hong-Wen Ma51609.16