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Paper details
Number 2 - June 2019
Volume 29 - 2019
Almost periodic synchronization of fuzzy cellular neural networks with time-varying delays via state-feedback and impulsive control
Yongkun Li, Huimei Wang, Xiaofang Meng
Abstract
In this paper, we are concerned with drive-response synchronization for a class of fuzzy cellular neural networks with time
varying delays. Based on the exponential dichotomy of linear differential equations, the Banach fixed point theorem and
the differential inequality technique, we obtain the existence of almost periodic solutions of this class of networks. Then,
we design a state feedback and an impulsive controller, and construct a suitable Lyapunov function to study the problem of
global exponential almost periodic synchronization for the drive-response systems considered. At the end of the paper, we
provide an example to verify the effectiveness of the theoretical results
Keywords
almost periodic solution, fuzzy cellular neural networks, time-varying delays, synchronization, state feedback, impulsive control