Quasi-synchronization of neural networks with parameter mismatches and delayed impulsive controller on time scales. (August 2019)

• Record Type: Journal Article
• Authors: Huang, Zhenkun; Cao, Jinde; Li, Jiamin; Bin, Honghua
• Is Part Of: Nonlinear analysis. Volume 33(2019)
• Page Start: 104
• Page End: 115
• Publication Date: 2019-08
• Subjects: Quasi-synchronization -- Neural networks -- Time scales -- Impulsive control; Nonlinear functional analysis -- Periodicals; Analyse fonctionnelle non linéaire -- Périodiques; Nonlinear functional analysis; Periodicals; 515.7248
• DOI: 10.1016/j.nahs.2019.02.005
• Languages: English
• ISSNs: 1751-570X

Abstract

Abstract: This paper is concerned with quasi-synchronization issue of neural networks which take parameter mismatches and a delayed impulsive controller into account on time scales. Due to the existence of hybrid time domains, there exists novel inherent quasi-synchronization mechanism which will show relationships between mismatching parameters and delayed impulses. Based on calculus of time scales and the direct Lyapunov method, some scale-type criteria to achieve the quasi-synchronization of neural networks under impulsive control are derived. Finally, a numerical simulation is presented to illustrate the effectiveness of theoretical analysis.