Stochastic Synchronization of Reaction-Diffusion Neural Networks under General Impulsive Controller with Mixed Delays | Zendy

Xinsong Yang | Zendy; Chuangxia Huang | Zendy; Zhichun Yang | Zendy

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Stochastic Synchronization of Reaction-Diffusion Neural Networks under General Impulsive Controller with Mixed Delays

Author(s) -

Xinsong Yang,

Chuangxia Huang,

Zhichun Yang

Publication year - 2012

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 - 10.1155/2012/603535

Subject(s) - control theory (sociology) , controller (irrigation) , synchronization (alternating current) , mathematics , artificial neural network , reaction–diffusion system , nonlinear system , computer science , control (management) , topology (electrical circuits) , mathematical analysis , physics , combinatorics , quantum mechanics , artificial intelligence , machine learning , agronomy , biology

This paper investigates drive-response synchronization of a class of reaction-diffusion neural networks with time-varying discrete and distributed delays via general impulsive control method. Stochastic perturbations in the response system are also considered. The impulsive controller is assumed to be nonlinear and has multiple time-varying discrete and distributed delays. Compared with existing nondelayed impulsive controller, this general impulsive controller is more practical and essentially important since time delays are unavoidable in practical operation. Based on a novel impulsive differential inequality, the properties of random variables and Lyapunov functional method, sufficient conditions guaranteeing the global exponential synchronization in mean square are derived through strict mathematical proof. In our synchronization criteria, the distributed delays in both continuous equation and impulsive controller play important role. Finally, numerical simulations are given to show the effectiveness of the theoretical results

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