Stability analysis of periodic solutions for the neutral-type neural networks with impulses and time-varying delays

Hongjun Qiu, Yanhong Zhang, Fanchao Kong

Abstract


This paper is concerned with a class of neutral-type neural networks with impulses and delays. By using continuation theorem due to Mawhin and constructing the appropriate Lyapunov-Krasovskii functional, several new sufficient conditions ensuring the existence and global exponential stability of the periodic solution are obtained. Moreover, a numerical example is provided to illustrate the main results. Our results can extend and improve some earlier publications.


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