Robust H? sliding mode control for uncertain polynomial fuzzy stochastic singular systems

被引:8
|
作者
Feng, Zhiguang [1 ]
Yang, Yang [1 ]
机构
[1] Harbin Engn Univ, Coll Intelligent Syst Sci & Engn, Harbin 150001, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2023年 / 360卷 / 04期
基金
中国国家自然科学基金;
关键词
MARKOVIAN JUMP SYSTEMS; DESCRIPTOR SYSTEMS; INFINITY CONTROL; OBSERVER DESIGN; STABILIZATION; SURFACE;
D O I
10.1016/j.jfranklin.2023.01.007
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper considers the robust H infinity sliding mode control (SMC) problem for uncertain polynomial fuzzy stochastic singular systems. The interest is focused on designing a polynomial fuzzy sliding mode controller, and two assumptions in most integral SMC methods for fuzzy stochastic systems are removed. By constructing an integral sliding surface, the equivalent control law is obtained, and the sliding mode dynamics is derived. With the help of the sum-of-squares method, for sliding mode dynamics, the mean -square admissibility and the H infinity performance are guaranteed. Furthermore, the sliding mode controller is established. The effectiveness and advantages of the proposed design method are finally revealed via a practical example of the modified bio-economic model and a numerical example. (c) 2023 The Franklin Institute. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:2893 / 2912
页数:20
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