Adaptive Synchronization of Complex Dynamical Networks Governed by Local Lipschitz Nonlinearlity on Switching Topology
Joint Authors
Su, Housheng
Liu, Bo
Xie, Guangming
Wang, Xiaoling
Gao, Yanping
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-18
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper investigates the adaptive synchronization of complex dynamical networks satisfying the local Lipschitz condition with switching topology.
Based on differential inclusion and nonsmooth analysis, it is proved that all nodes can converge to the synchronous state, even though only one node is informed by the synchronous state via introducing decentralized adaptive strategies to the coupling strengths and feedback gains.
Finally, some numerical simulations are worked out to illustrate the analytical results.
American Psychological Association (APA)
Liu, Bo& Wang, Xiaoling& Gao, Yanping& Xie, Guangming& Su, Housheng. 2013. Adaptive Synchronization of Complex Dynamical Networks Governed by Local Lipschitz Nonlinearlity on Switching Topology. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-500561
Modern Language Association (MLA)
Liu, Bo…[et al.]. Adaptive Synchronization of Complex Dynamical Networks Governed by Local Lipschitz Nonlinearlity on Switching Topology. Journal of Applied Mathematics No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-500561
American Medical Association (AMA)
Liu, Bo& Wang, Xiaoling& Gao, Yanping& Xie, Guangming& Su, Housheng. Adaptive Synchronization of Complex Dynamical Networks Governed by Local Lipschitz Nonlinearlity on Switching Topology. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-500561
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500561