Passivity Analysis of Fractional-Order Neutral-Type Fuzzy Cellular BAM Neural Networks with Time-Varying Delays

被引：6
|
作者：
Ali, M. Syed [1 ]
Hymavathi, M. [1 ]
Alsulami, Hamed [2 ]
Saeed, Tareq [2 ]
Ahmad, Bashir [2 ]
机构：
[1] Thiruvalluvar Univ, Dept Math, Vellore 632115, Tamil Nadu, India
[2] King Abdulaziz Univ, Dept Math, Nonlinear Anal & Appl Math NAAM Res Grp, Fac Sci, POB 80203, Jeddah, Saudi Arabia
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2022年 / 2022卷
关键词：
GLOBAL ASYMPTOTIC STABILITY; COMPLEX DYNAMICAL NETWORKS; EXPONENTIAL STABILITY; SYNCHRONIZATION; DISCRETE; SYSTEMS; PARAMETERS; CONSTANT; CRITERIA;
D O I：
10.1155/2022/9035736
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, passivity analysis of fractional-order neutral-type fuzzy cellular bidirectional associative memory (BAM) neural networks with time-varying delays is investigated. Based on the Lyapunov-Krasovskii functional, delay-dependent sufficient conditions for solvability of the passive problem are obtained in terms of linear matrix inequalities (LMIs), which can be easily checked by using the MATLAB LMI toolbox. Finally, numerical examples are provided to show the effectiveness of the main results.
引用
收藏
页数：18
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