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Synchronization of switched neural networks with mixed delays via impulsive control
Authors:Xinsong Yang  Chuangxia Huang  Quanxin Zhu
Institution:aDepartment of Mathematics, Honghe University, Mengzi, Yunnan 661100, China;bDepartment of Mathematics, College of Mathematics and Computing Science, Changsha University of Science and Technology, Changsha, Hunan 410114, China;cDepartment of Mathematics, Ningbo University, Ningbo, Zhejiang 315211, China
Abstract:This paper concerns the problem of global exponential synchronization for a class of switched neural networks with time-varying delays and unbounded distributed delays via impulsive control method. By using Lyapunov stability theory, new synchronization criterion is derived. In our synchronization criterion, the switching law can be arbitrary and the concept of average impulsive interval is utilized such that the obtained synchronization criterion is less conservative than those based on maximum of impulsive intervals. Numerical simulations are given to show the effectiveness and less conservativeness of the theoretical results.
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