Synchronization of Chaotic Neural Networks with Leakage Delay and Mixed Time-Varying Delays via Sampled-Data Control | Zendy

Ting Lei | Zendy; Qiankun Song | Zendy; Zhenjiang Zhao | Zendy; Jianxi Yang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Synchronization of Chaotic Neural Networks with Leakage Delay and Mixed Time-Varying Delays via Sampled-Data Control

Author(s) -

Ting Lei,

Qiankun Song,

Zhenjiang Zhao,

Jianxi Yang

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 - 10.1155/2013/290574

Subject(s) - control theory (sociology) , synchronization (alternating current) , mathematics , artificial neural network , chaotic , leakage (economics) , linear matrix inequality , control (management) , computer science , mathematical optimization , topology (electrical circuits) , artificial intelligence , combinatorics , economics , macroeconomics

This paper investigates the synchronization problem for neural networks with leakage delay and both discrete and distributed time-varying delays under sampled-data control. By employing the Lyapunov functional method and using the matrix inequality techniques, a delay-dependent LMIs criterion is given to ensure that the master systems and the slave systems are synchronous. An example with simulations is given to show the effectiveness of the proposed criterion

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