Article ID Journal Published Year Pages File Type
1891913 Chaos, Solitons & Fractals 2011 10 Pages PDF
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.

► Synchronization of neural networks with delay via impulsive control technique is studied. ► Synchronization criterion is developed for switched neural networks model. ► The concept “elasticity number” is introduced.

Related Topics
Physical Sciences and Engineering Physics and Astronomy Statistical and Nonlinear Physics
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