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Passivity analysis for discrete-time switched neural networks with various activation functions and mixed time delays
Authors:Dan Zhang  Li Yu
Institution:1.Department of Automation, Zhejiang Provincial United Key Laboratory of Embedded Systems,Zhejiang University of Technology,Hangzhou,P.R. China
Abstract:This paper is concerned with the passivity analysis for a class of discrete-time switched neural networks with various activation functions and mixed time delays. The mixed time delays under consideration include time-varying discrete delay and bounded distributed delay. By using the average dwell time approach and the discontinuous piecewise Lyapunov function technique, a novel delay-dependent sufficient condition for exponential stability of the switched neural networks with passivity is derived in terms of a set of linear matrix inequalities (LMIs). The obtained condition is not only dependent on the discrete delay bound, but also dependent on the distributed delay bound. A numerical example is given to demonstrate the effectiveness of the proposed result.
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