Title :
Exponential synchronization of time-varying delays and non-delay coupled dynamical complex network via impulsive control
Author :
Fenfen Yu ; Jianwen Feng ; Yi Zhao
Author_Institution :
Coll. of Math. & Comput. Sci., Shenzhen Univ., Shenzhen, China
Abstract :
In this paper, we investigate the exponential synchronization of time-varying delays and non-delay coupled dynamical complex network via impulsive control. By introducing the concept of “average impulsive interval” and utilizing the property of a special matrix M, some sufficient conditions are derived to guarantee the global exponential synchronization for all initial values based on the impulsive delay differential inequality and Lyapunov Stability Theorem. And moreover, the exponential convergence rate can be specified, and some numerical examples are given to illustrate the theoretical results.
Keywords :
Lyapunov methods; complex networks; delay systems; matrix algebra; networked control systems; synchronisation; time-varying systems; Lyapunov stability theorem; average impulsive interval concept; exponential convergence rate; global exponential synchronization; impulsive control; impulsive delay differential inequality; nondelay coupled dynamical complex network; sufficient conditions; time-varying delays; Complex networks; Couplings; Delays; Linear matrix inequalities; Lyapunov methods; Symmetric matrices; Synchronization; Average Impulsive Interval; Impulsive Control; Non-delay Coupled; Time-varying Delays;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162573