Title :
Synchronization of directed complex dynamical networks based on distributed event-triggered communications
Author :
Jie Liu ; ChunXia Fan
Author_Institution :
Nanjing Univ. of Posts & Telecommun., Nanjing, China
fDate :
May 31 2014-June 2 2014
Abstract :
This paper studies the problem of synchronization on a complex dynamical network where the nodes´ dynamics are nonlinear time-invariant systems and share a directed communication network. Firstly, we study the problem of synchronization on a directed network with physical links. An explicit Lyapunov function is constructed by using an appropriate matrix to derive the threshold of event generator. Then, the centralized event-triggered rule is achieved by using the set stability theory. Based on the centralized event-triggered rule, the distributed one is proposed to synchronize the directed complex network. The threshold of each event generator is composed of each node´s states rather than neighboring node´s. Finally, a numerical example is given to validate the correctness of the proposed synchronization criteria based on distributed event-triggered communication.
Keywords :
Lyapunov matrix equations; large-scale systems; network theory (graphs); stability; centralized event-triggered rule; directed communication network; directed complex dynamical network synchronization; directed complex network synchronization; directed network; distributed event-triggered communications; event generator; explicit Lyapunov function; matrix; nonlinear time-invariant systems; physical links; set stability theory; Artificial neural networks; Complex networks; Couplings; Educational institutions; Lyapunov methods; Media; Synchronization; Lyapunov function; directed topology; distributed; event-triggered; synchronization;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6853037