Decentralized adaptive approximation-based fuzzy output-feedback control of uncertain switched stochastic interconnected nonlinear systems

被引：14
|
作者：
Li, Huan [1 ]
Feng, Zhiguang [2 ,3 ]
Li, Xiaoqing [4 ]
Liu, Liang [5 ]
Niu, Ben [1 ]
机构：
[1] Bohai Univ, Coll Math & Phys, Jinzhou 121013, Liaoning, Peoples R China
[2] Harbin Engn Univ, Coll Automat, Harbin 150001, Heilongjiang, Peoples R China
[3] Victoria Univ, Coll Engn & Sci, Melbourne, Vic 3000, Australia
[4] Univ Sci & Technol Beijing, Coll Automat & Elect Engn, Beijing 100083, Peoples R China
[5] Qufu Normal Univ, Inst Automat, Qufu 273165, Shandong, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2017年 / 354卷 / 16期
基金：
中国国家自然科学基金;
关键词：
STABILITY ANALYSIS; DESIGN; TRACKING; STABILIZATION;
D O I：
10.1016/j.jfranklin.2017.08.051
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a decentralized adaptive approximation-based output feedback control scheme is developed for a class of uncertain switched stochastic nonlinear interconnected systems. Fuzzy logic systems (FLSs) combined with adaptive backstepping method are applied to model the unknown nonlinear functions of the switched system. The full-order observer is designed to estimate the immeasurable states and the dynamic surface control (DSC) technique is adopted to ensure the computation burden is greatly reduced. Moreover, the proposed controllers guarantee the semi-global bounded of the resulting closed-loop system under any switching laws. Simulation results show the effectiveness of the proposed control scheme. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：7306 / 7325
页数：20
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