title: Global anti-synchronization of a class of chaotic memristive neural networks with time-varying delays.
abstract: This paper is concerned with the global exponential anti-synchronization of a class of chaotic memristive neural networks with time-varying delays. The dynamic analysis here employs results from the theory of differential equations with discontinuous right-hand side as introduced by Filippov. And by using differential inclusions theory, the Lyapunov functional method and the inequality technique, some new sufficient conditions ensuring exponential anti-synchronization of two chaotic delayed memristive neural networks are derived. The new proposed results here are very easy to verify and they also improve the earlier publications. Finally, a numerical example is given to illustrate the effectiveness of the new scheme.
authors.affiliation: Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China. zgdhbnu@163.com
authors.forename: Guodong
authors.initials: G
authors.lastname: Zhang
authors.forename: Yi
authors.initials: Y
authors.lastname: Shen
authors.forename: Leimin
authors.initials: L
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D013997:Time Factors
keywords: Anti-synchronization; Chaotic dynamical systems; Feedback control; Memristor; Time-varying delays