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Antiperiodic dynamical behaviors of discontinuous neutral-type Cohen-Grossberg neural networks with mixed time delays
Authors:Fanchao Kong  Quanxin Zhu
Affiliation:1. School of Mathematics and Statistics, Anhui Normal University, Wuhu, Anhui, China;2. MOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha, Hunan, China
Abstract:This article presents a class of neutral-type Cohen-Grossberg neural networks with discontinuous activations and mixed time delays. Based on the functional differential inclusions theory, inequality technique, and nonsmooth analysis theory with Lyapunovlike approach, some new sufficient criteria are given to ascertain the existence, uniqueness, and globally exponential stability of the antiperiodic solution. Finally, two topical numerical examples and the corresponding computer simulations are delineated to substantiate the correctness of our theoretical predictions. The obtained results of this article are new and complement some related earlier works.
Keywords:antiperiodic solution  discontinuous activations  global exponential stability  mixed time delays  neutral-type Cohen-Grossberg neural network
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