Paper Info
Title
Adaptive Fault-Tolerant Synchronization Control of a Class of Complex Dynamical Networks With General Input Distribution Matrices and Actuator Faults
Abstract
This paper is concerned with the problem of adaptive fault-tolerant synchronization control of a class of complex dynamical networks (CDNs) with actuator faults and unknown coupling weights. The considered input distribution matrix is assumed to be an arbitrary matrix, instead of a unit one. Within this framework, an adaptive fault-tolerant controller is designed to achieve synchronization for the CDN. Moreover, a convex combination technique and an important graph theory result are developed, such that the rigorous convergence analysis of synchronization errors can be conducted. In particular, it is shown that the proposed fault-tolerant synchronization control approach is valid for the CDN with both time-invariant and time-varying coupling weights. Finally, two simulation examples are provided to validate the effectiveness of the theoretical results.
Year
DOI
Venue
2017
10.1109/TNNLS.2015.2507183
IEEE transactions on neural networks and learning systems
Keywords
Field
DocType
Adaptive fault-tolerant control,adaptive synchronization,complex dynamical networks (CDNs),graph theory,linear couplings.
Graph theory,Convergence (routing),Control theory,Synchronization,Matrix (mathematics),Adaptive system,Convex combination,Control theory,Computer science,Actuator
Journal
Volume
Issue
ISSN
PP
99
2162-237X
Citations 
PageRank 
References 
32
0.76
29
Authors
2
Name
Order
Citations
PageRank
Xiao-Jian Li126413.82
Guang-Hong Yang23150212.39