Paper Info
Title
FLS-Based Adaptive Synchronization Control of Complex Dynamical Networks With Nonlinear Couplings and State-Dependent Uncertainties
Abstract
This paper is concerned with the problem of synchronization control of complex dynamical networks (CDN) subject to nonlinear couplings and uncertainties. An fuzzy logical system-based adaptive distributed controller is designed to achieve the synchronization. The asymptotic convergence of synchronization errors is analyzed by combining algebraic graph theory and Lyapunov theory. In contrast to the existing results, the proposed synchronization control method is applicable for the CDN with system uncertainties and unknown topology. Especially, the considered uncertainties are allowed to occur in the node local dynamics as well as in the interconnections of different nodes. In addition, it is shown that a unified controller design framework is derived for the CDN with or without coupling delays. Finally, simulations on a Chua's circuit network are provided to validate the effectiveness of the theoretical results.
Year
DOI
Venue
2016
10.1109/TCYB.2015.2399334
Cybernetics, IEEE Transactions  
Keywords
Field
DocType
adaptive synchronization control,complex dynamical network (cdn),fuzzy logical system (fls),graph theory,nonlinear coupling,uncertainty,topology,synchronization,couplings,adaptive systems
Graph theory,Lyapunov function,Synchronization,Control theory,Nonlinear system,Control theory,Adaptive system,Fuzzy logic,Algebraic graph theory,Mathematics
Journal
Volume
Issue
ISSN
PP
99
2168-2267
Citations 
PageRank 
References 
47
1.00
27
Authors
2
Name
Order
Citations
PageRank
Xiao-Jian Li126413.82
Guang-Hong Yang237523.86