Global dissipativity of non-autonomous BAM neural networks with mixed time-varying delays and discontinuous activations

被引:0
作者
Yan, Meng [1 ,2 ]
Jiang, Minghui [1 ,2 ]
Fei, Kaifang [1 ,2 ]
机构
[1] China Three Gorges Univ, Inst Nonlinear Complex Syst, Yichang 443000, Hubei, Peoples R China
[2] China Three Gorges Univ, Three Gorges Math Res Ctr, Yichang 443000, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
discontinuous activations; distributed delays; global dissipativity; Halanay inequality; nonautonomous BAM neural networks; time-varying delays; EXPONENTIAL STABILITY; ANTIPERIODIC SOLUTIONS; DIFFERENTIAL-EQUATIONS; DYNAMICAL BEHAVIORS; PERIODIC-SOLUTIONS; ROBUST STABILITY; FINITE-TIME; SYNCHRONIZATION; EXISTENCE; CONVERGENCE;
D O I
10.1515/ijnsns-2019-0078
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, we investigate the dissipativity of a class of BAM neural networks with both time-varying and distributed delays, as well as discontinuous activations. First, the concept of the Filippov solution is extended to functional differential equations with discontinuous right-hand sides via functional differential inclusions. Then, by constructing Lyapunov functional and employing a generalized Halanay inequality, several sufficient easy-to-test conditions are successfully obtained to guarantee the global dissipativity of the Filippov solution of the considered system. The derived results extend and improve some previous publications on conventional BAM neural networks. Meanwhile, the estimations of the positive invariant and globally attractive set are given. Finally, numerical simulations are provided to demonstrate the effectiveness of our proposed results.
引用
收藏
页码:345 / 364
页数:20
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