Fixed-time synchronization of inertial memristor-based neural networks with discrete delay. (January 2019)

• Record Type: Journal Article
• Authors: Chen, Chuan; Li, Lixiang; Peng, Haipeng; Yang, Yixian
• Is Part Of: Neural networks. Volume 109(2019)
• Page Start: 81
• Page End: 89
• Publication Date: 2019-01
• Subjects: Inertial -- Memristor -- Neural networks -- Feedback controllers -- Fixed-time synchronization; Neural computers -- Periodicals; Neural networks (Computer science) -- Periodicals; Neural networks (Neurobiology) -- Periodicals; Nervous System -- Periodicals; Ordinateurs neuronaux -- Périodiques; Réseaux neuronaux (Informatique) -- Périodiques; Réseaux neuronaux (Neurobiologie) -- Périodiques; Neural computers; Neural networks (Computer science); Neural networks (Neurobiology); Periodicals; 006.32
• DOI: 10.1016/j.neunet.2018.10.011
• Languages: English
• ISSNs: 0893-6080

Abstract

Abstract: This paper is concerned with the fixed-time synchronization control of inertial memristor-based neural networks with discrete delay. We design four different kinds of feedback controllers, under which the considered inertial memristor-based neural networks can realize fixed-time synchronization perfectly. Moreover, the obtained fixed-time synchronization criteria can be verified by algebraic operations. For any initial synchronization error, the settling time of fixed-time synchronization is bounded by a fixed constant, which can be calculated beforehand based on system parameters and controller parameters. Numerical simulations are given to illustrate the effectiveness of our theoretical results.