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Synchronization of an array of neutral-type neural networks via feedback control

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2 Author(s)
Yijun Zhang ; School of Automation, Nanjing University of Science and Technology, 210094, China ; Shengyuan Xu

In this letter, the problem of global asymptotical synchronization through linear feedback control for a class of complex networks with time-varying delayed couplings is considered. Each node in the network is composed of a class of delayed neural networks described by a nonlinear delay differential equation of neutral-type. By using the Lyapunov functional method and some properties of Kronecker product, a sufficient condition that globally asymptotically stabilizes the error system is derived, which ensures the dynamics of whole networks synchronize with the desirable synchronization manifold. A numerical example is presented to show the effectiveness and applicability of the proposed approach.

Published in:

Control Conference (CCC), 2011 30th Chinese

Date of Conference:

22-24 July 2011