DocumentCode
232204
Title
Asymptotic stabilization for a class of time-varying complex dynamical networks
Author
Zhang Li-Li ; Wang Yin-He ; Wang Qin-Ruo
Author_Institution
Sch. of Autom., Guangdong Univ. of Technol., Guangzhou, China
fYear
2014
fDate
28-30 July 2014
Firstpage
5551
Lastpage
5556
Abstract
Asymptotic stabilization problem is investigated for a class of complex dynamical networks with the time-varying coupling configuration matrix and different nonlinear nodes. Firstly, a general time-varying complex dynamical network model with different nonlinear nodes and nonlinearly coupled functions is proposed. The time-varying outer coupling matrix in this paper is only needed to be dissipatively coupled, no matter its elements are negative or not and no matter it is symmetric or not. The outer coupling coefficients of the networks do not need to be known or continuous but need to be bounded. Based on Lyapunov stability theory and Barbalat´s lemma and under the assumption that the bound of the time-varying coupling coefficients is uncertain, decentralized dynamical compensation controllers and the adaptive law are synthesized to stabilize the network asymptotically. When the bound of the time-varying coupling coefficients is known, the stabilization theorem is also proposed. Finally, a numerical example is presented to verify the effectiveness of our theoretical results.
Keywords
Lyapunov methods; adaptive control; asymptotic stability; compensation; complex networks; control system synthesis; decentralised control; matrix algebra; nonlinear functions; time-varying systems; uncertain systems; Barbalat lemma; Lyapunov stability theory; adaptive law synthesis; asymptotic stabilization problem; general time-varying complex dynamical network model; nonlinear nodes; nonlinearly coupled functions; outer coupling coefficients; stabilization theorem; time-varying coupling coefficients; time-varying coupling configuration matrix; time-varying outer coupling matrix; uncertain decentralized dynamical compensation controllers; Adaptive systems; Couplings; Educational institutions; Equations; Estimation; Mathematical model; Time-varying systems; Complex Dynamical Network; Decentralized Controllers; Stabilization; Time-Varying Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2014 33rd Chinese
Conference_Location
Nanjing
Type
conf
DOI
10.1109/ChiCC.2014.6895888
Filename
6895888
Link To Document