Synchronization of Chaotic Delayed Fuzzy Neural Networks under Impulsive and Stochastic Perturbations | Zendy

Bing Li | Zendy; Qiankun Song | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Synchronization of Chaotic Delayed Fuzzy Neural Networks under Impulsive and Stochastic Perturbations

Author(s) -

Bing Li,

Qiankun Song

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 - 10.1155/2013/543549

Subject(s) - mathematics , chaotic , synchronization (alternating current) , control theory (sociology) , fuzzy logic , artificial neural network , stochastic neural network , chaotic systems , topology (electrical circuits) , computer science , artificial intelligence , recurrent neural network , control (management) , combinatorics

The synchronization problem of chaotic fuzzy cellular neural networks with mixed delays is investigated. By an impulsive integrodifferential inequality and the Itô's formula, some sufficient criteria to synchronize the networks under both impulsive and stochastic perturbations are obtained. The example and simulations are given to demonstrate the efficiency and advantages of the proposed results

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research