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Matrix projective synchronization for time-varying disturbed networks with uncertain nonlinear structures and different dimensional nodes

Authors :
Xuesong Chen
Yinhe Wang
Lili Zhang
Youfa Lei
Source :
Neurocomputing. 311:11-23
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

This paper investigates the matrix projective synchronization (MPS) problem for time-varying disturbed complex dynamical networks (CDNs) with uncertain nonlinear structures and different dimensional nodes. In order to well describe the practical networks, the unavoidable unknown nonlinear structure and the inevitable uncertain disturbance of each node are considered into our network model, which is different from the previous works. Besides, it is worth pointing out that the outer coupling configuration matrix, which represents the coupling strength and the topological structure, is not restricted by the dissipatively coupled condition in this paper. The definition of MPS is also introduced for the networks with different dimensional nodes. Moreover, several MPS schemes are respectively put forward for our network model according to the norm bound of the uncertain nonlinear structures and disturbances being unknown or not. Finally, two proper examples associated with numerical simulations are given to verify the effectiveness of our theoretical results.

Details

ISSN :
09252312
Volume :
311
Database :
OpenAIRE
Journal :
Neurocomputing
Accession number :
edsair.doi...........9b9861fc4d861e1bb96e19b482fd4a5d