Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 373, Issue -, Pages 252-260Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.physa.2006.04.105
Keywords
synchronization; time-varying delays; Lyapunov functional; chaos; LMI approach; stochastic delayed system
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In this paper, synchronization control of stochastic neural networks with time-varying delays has been considered. A novel control method is given using the Lyapunov functional method and linear matrix inequality (LMI) approach. Several sufficient conditions have been derived to ensure the global asymptotical stability in mean square for the error system, and thus the drive system synchronize with the response system. Also, the estimation gains can be obtained. With these new and effective methods, synchronization can be achieved. Simulation results are given to verify the theoretical analysis in this paper. (c) 2006 Elsevier B.V. All rights reserved.
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