Topology identification and adaptive synchronization of uncertain complex networks with non-derivative and derivative coupling

This paper proposes an approach to identify the topological structure and unknown parameters for uncertain general complex networks with non-derivative and derivative coupling. By designing effective adaptive controller, the unknown network topological structure and system parameters of uncertain ge...

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Bibliographic Details
Published in:Journal of the Franklin Institute 2010-10, Vol.347 (8), p.1566-1576
Main Authors: Xu, Yuhua, Zhou, Wuneng, Fang, Jian’an, Sun, Wen, Pan, Lin
Format: Article
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Control system analysis
Control system synthesis
Control theory. Systems
Exact sciences and technology
Software
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Summary:This paper proposes an approach to identify the topological structure and unknown parameters for uncertain general complex networks with non-derivative and derivative coupling. By designing effective adaptive controller, the unknown network topological structure and system parameters of uncertain general complex dynamical networks are identified simultaneously in the process of synchronization. Several useful criteria for synchronization are given. Finally, numerical simulations are presented to verify the effectiveness of the theoretical results obtained in this paper.
ISSN:0016-0032
1879-2693
DOI:10.1016/j.jfranklin.2010.07.007