Paper Info
Title
Fuzzy Approximation-Based Global Pinning Synchronization Control of Uncertain Complex Dynamical Networks
Abstract
This paper is concerned with the global pinning synchronization problem of uncertain complex dynamical networks with communication constraints. First, an adaptive fuzzy controller is designed within a given compact set. In addition, a robust controller is introduced outside the compact set to pull back the system states. Then, a new pinning control scheme is given such that the global synchronization can be ensured. Moreover, via the Lyapunov theory and graph theory, the synchronization errors are proved to be asymptotically convergent. Especially, in an uncertainty-free environment, the proposed control scheme includes two easy-to-implement pinning control strategies as special cases, which improve the existing results from the view point of reducing the number of feedback controllers. Finally, two simulation examples are provided to validate the theoretical results.
Year
DOI
Venue
2017
10.1109/TCYB.2016.2530792
IEEE Trans. Cybernetics
Keywords
Field
DocType
Synchronization,Uncertainty,Couplings,Artificial neural networks,Graph theory,Protocols,Adaptive control
Control theory,Computer science,Artificial intelligence,Artificial neural network,Graph theory,Lyapunov function,Synchronization,Mathematical optimization,Control theory,Fuzzy logic,Compact space,Adaptive control,Machine learning
Journal
Volume
Issue
ISSN
PP
99
2168-2267
Citations 
PageRank 
References 
7
0.44
22
Authors
2
Name
Order
Citations
PageRank
Xiao-Jian Li126413.82
Guang-Hong Yang23150212.39