Synchronization of Neural Networks with Mixed Time Delays under Information Constraints | Zendy

Dedong Yang | Zendy; Hexu Sun | Zendy; Peng Yang | Zendy; Taihang Du | Zendy

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Synchronization of Neural Networks with Mixed Time Delays under Information Constraints

Author(s) -

Dedong Yang,

Hexu Sun,

Peng Yang,

Taihang Du

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 - 10.1155/2013/510903

Subject(s) - synchronization (alternating current) , artificial neural network , control theory (sociology) , quantization (signal processing) , mathematics , network packet , transmission (telecommunications) , scheme (mathematics) , computer science , algorithm , topology (electrical circuits) , artificial intelligence , computer network , telecommunications , mathematical analysis , control (management) , combinatorics

This paper investigates the synchronization problem of neural networks with mixed time delays under information constrains. The designed synchronization scheme is built on the framework of hybrid systems. Besides including nonuniform sampling, some other characteristics, such as quantization, transmission-induced delays, and data packet dropouts, are also considered. The sufficient condition that depended on network characteristics is obtained to guarantee the remote asymptotical synchronization of neural networks with mixed time delays. A numerical example is given to illustrate the validity of the proposed method

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