Global dissipativity of fuzzy cellular neural networks with inertial term and proportional delays

被引：27
|
作者：
Aouiti, Chaouki [1 ]
Sakthivel, Rathinasamy [2 ]
Touati, Farid [1 ]
机构：
[1] Univ Carthage, Fac Sci Bizerta, Dept Math, Res Units Math & Applicat UR13ES47, Zarzouna 7021, Bizerta, Tunisia
[2] Bharathiar Univ, Dept Appl Math, Coimbatore, Tamil Nadu, India
来源：
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2020年 / 51卷 / 08期
关键词：
Fuzzy inertial neural networks; global dissipativity; global exponential dissipativity; proportional delays; TIME-VARYING DELAY; EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY; DISTRIBUTED DELAYS; CONVERGENCE; SYNCHRONIZATION;
D O I：
10.1080/00207721.2020.1764128
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 is concerned with the global dissipativity of fuzzy cellular neural networks with inertial term and proportional delays. Based on Lyapunov functionals and linear matrix inequality approach, new sufficient conditions are derived to ensure the global dissipativity and global exponential dissipativity of the suggested system. Moreover, the globally exponential attractive sets and positive invariant sets are also presented here. Finally, two numerical examples with its simulations are proposed to illustrate the effectiveness of the obtained results.
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页码：1392 / 1405
页数：14
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