Robust exponential stabilization of stochastic coupled T-S fuzzy complex networks subject to state-dependent impulsive control

被引：8
作者：
Cao, Zhengran [1 ]
Li, Chuandong [1 ]
Zhang, Xiaoyu [1 ]
Yang, Xujun [2 ]
机构：
[1] Southwest Univ, Intelligent Informat Proc Sch Elect & Informat, Chongqing Key Lab Nonlinear Circuits, Chongqing 400074, Peoples R China
[2] Chongqing Jiaotong Univ, Dept Math, Chongqing, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 2023年 / 33卷 / 05期
基金：
中国国家自然科学基金;
关键词：
B-equivalent approach; complex networks; robust stabilization; T-S fuzzy model; state-dependent impulsive control; NEURAL-NETWORKS; STABILITY ANALYSIS; SYNCHRONIZATION; SYSTEMS; DELAYS;
D O I：
10.1002/rnc.6581
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of robust exponential stabilization for T-S fuzzy stochastic dynamical networks (T-S FSDNs) based on the state-dependent impulsive controller is investigated in the paper. Using B-equivalence approach, some sufficient conditions are provided such that every solution of considered systems intersects each impulsive surface exactly once. Then, combining with the inequality technique and comparison principle, some meaningful sufficient criteria are obtained to ensure the mean square stability of T-S fuzzy stochastic dynamical networks. Compared to related results, the results obtained in the paper are low conservatism and easy to verify. Finally, two numerical simulations based on Ro$$ \ddot{o} $$ssler's system and Lorenz system show the effectiveness of the obtained theoretical results.
引用
收藏
页码：3334 / 3357
页数：24
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