Finite-time synchronization of sampled-data T-S fuzzy complex dynamical networks subject to average dwell-time approach

被引:0
作者
Gunasekaran, Nallappan [1 ]
Saravanakuma, Ramasamy [1 ]
Joo, Young Hoon [1 ]
Kim, Han Sol [2 ]
机构
[1] Kunsan Natl Univ, Sch IT Informat & Control Engn, Kunsan 573701, Chonbuk, South Korea
[2] Yonsei Univ, Sch Elect & Elect Engn, 50 Yonsei Ro, Seoul 03722, South Korea
基金
新加坡国家研究基金会;
关键词
Complex dynamical networks (CDNs); Finite-time synchronization; Lyapunov method; Integral inequality; Sampled-data control; ROBUST STABILITY-CRITERIA; NEURAL-NETWORKS; EXPONENTIAL SYNCHRONIZATION; VARYING DELAYS; SYSTEMS; STABILIZATION;
D O I
10.1016/j.fss.2019.01.0070165
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The problem of finite-time synchronization for Takagi-Sugeno (T-S) fuzzy complex dynamical networks with coupling delays via sampled-data control is presented in this paper. To change the sampled-data control system into a continuous time-delayed system, an input delay approach is applied. Based on the Lyapunov stability theory, a suitable Lyapunov-Krasovskii functional (LKF) is constructed with the Kronecker products. Furthermore, by applying the average dwell-time approach, a novel sufficient condition is established to ascertain the finite-time stabilization of fuzzy complex dynamical networks (CDNs) with switching signals. The proposed method is less conservative than conventional approaches, since the newly developed time-dependent fuzzy LKF is used. The proposed sufficient condition can be represented in the form of linear matrix inequalities (LMIs). Finally, the effectiveness and superiority of the proposed approach is validated through both numerical and practical examples. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:40 / 59
页数:20
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