Open AccessGlobal synchronization of a class of chaotic neural networks
Author(s) -
Zhanshan Wang,
Huaguang Zhang,
Zhiliang Wang
Publication year - 2006
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.55.2687
Subject(s) - synchronization (alternating current) , computer science , artificial neural network , control theory (sociology) , chaotic , controller (irrigation) , class (philosophy) , linear matrix inequality , chaotic systems , synchronization of chaos , matrix (chemical analysis) , control (management) , mathematics , mathematical optimization , artificial intelligence , telecommunications , materials science , agronomy , composite material , biology , channel (broadcasting)
This paper deals with the global asymptotic synchronization problem for a class of chaotic neural networks with delay. Using the drive-response conception and linear matrix inequality technique, two sufficient conditions are derived to guarantee the global synchronization of two chaotic neural networks with identical structure and different initial conditions, which also present a procedure to construct a synchronization controller. The controller gain can be achieved by solving a linear matrix inequality, and therefore, it is easily implemented in practice. Two illustrative examples are used to demonstrate the effectiveness of the proposed method.