Delay-Dependent Dynamics of Switched Cohen-Grossberg Neural Networks with Mixed Delays | Zendy

Peng Wang | Zendy; Haijun Hu | Zendy; Zheng Jun | Zendy; Yanxiang Tan | Zendy; Li Liu | Zendy

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Delay-Dependent Dynamics of Switched Cohen-Grossberg Neural Networks with Mixed Delays

Author(s) -

Peng Wang,

Haijun Hu,

Zheng Jun,

Yanxiang Tan,

Li Liu

Publication year - 2013

Publication title -

abstract and applied analysis

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.228

H-Index - 56

eISSN - 1687-0409

pISSN - 1085-3375

DOI - 10.1155/2013/826426

Subject(s) - dwell time , mathematics , complement (music) , artificial neural network , attractor , exponential stability , control theory (sociology) , stability (learning theory) , dynamics (music) , linear matrix inequality , mathematical optimization , mathematical analysis , computer science , artificial intelligence , nonlinear system , control (management) , machine learning , medicine , clinical psychology , biochemistry , chemistry , physics , quantum mechanics , complementation , acoustics , gene , phenotype

This paper aims at studying the problem of the dynamics of switched Cohen-Grossberg neural networks with mixed delays by using Lyapunov functional method, average dwell time (ADT) method, and linear matrix inequalities (LMIs) technique. Some conditions on the uniformly ultimate boundedness, the existence of an attractors, the globally exponential stability of the switched Cohen-Grossberg neural networks are developed. Our results extend and complement some earlier publications. © 2013 Peng Wang et al.

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