Structure-triggered asymptotical synchronization for nonidentical generalized stochastic systems with Markovian jumping parameter based on sliding mode control

被引：3

作者：

Zhang, Xin ^{[1
,2
]}

Ding, Xiangwu ^{[3
]}

Zhou, Wuneng ^{[1
]}

Sun, Yuqing ^{[1
]}

机构：

[1] Donghua Univ, Sch Informat Sci & Technol, Shanghai 201620, Peoples R China

[2] Suzhou Univ Sci & Technol, Sch Elect & Informat Engn, Suzhou 215009, Peoples R China

[3] Donghua Univ, Sch Comp Sci & Technol, Shanghai 201620, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 2020年 / 30卷 / 16期

关键词：

asymptotical synchronization; Markovian jumping; sliding mode control; structure-trigger; DIFFERENT CHAOTIC SYSTEMS; NEURAL-NETWORKS; LEVY NOISE; EXPONENTIAL SYNCHRONIZATION; ADAPTIVE SYNCHRONIZATION; SAMPLED-DATA; STABILIZATION; DESIGN; STABILITY; DISCRETE;

D O I：

10.1002/rnc.5102

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, the problem of structure-triggered asymptotical synchronization for nonidentical generalized stochastic systems with Markovian jumping parameter is investigated. Firstly, by designing a structure-triggered communication scheme, the optimal master system can be chosen for the slave system to synchronize. Furthermore, when the master system selected for the first time fails, the system can be promptly chosen again. Secondly, based on the sliding mode control approach and the linear matrix inequality technique, some sufficient conditions for synchronization of the nonidentical generalized stochastic systems are obtained. Finally, the effectiveness of the method is illustrated by two numerical examples.

引用

页码：6414 / 6432

页数：19

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