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An Approximate Optimal Control Approach for Robust Stabilization of a Class of Discrete-Time Nonlinear Systems With Uncertainties
Jun 03, 2016Author：
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Title: An Approximate Optimal Control Approach for Robust Stabilization of a Class of Discrete-Time Nonlinear Systems With Uncertainties
Authors: Wang, D; Liu, DR; Li, HL; Luo, B; Ma, HW
Author Full Names: Wang, Ding; Liu, Derong; Li, Hongliang; Luo, Biao; Ma, Hongwen
Source: IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 46 (5):; 10.1109/TSMC.2015.2466191 MAY 2016
Language: English
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.
ISSN: 2168-2216
IDS Number: DL6BK
Unique ID: WOS:000375722300011
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