DocumentCode :
3731000
Title :
Finite-time signal lag-projective synchronous transmission between uncertain complex networks with NH3 and CO2 lasers
Author :
Meng Zhang; Min Han
Author_Institution :
Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, China
fYear :
2015
Firstpage :
835
Lastpage :
840
Abstract :
The finite-time signal lag-projective synchronous transmission problem of two uncertain complex networks with NH3 and CO2 lasers is investigated. First, the chaotic characteristics of NH3 laser and CO2 laser are derived. Then two networks with unknown parameters and uncertain topological structure are constructed. Based on the finite-time stability theory and LaSalle´s principle, the effective synchronous transmission controller and corresponding update laws are designed to guarantee lag-projective synchronization of the two uncertain complex networks in a given finite-time. Simultaneously, the unknown parameters of node dynamic are estimated successfully and the uncertain topology weights tend to the proper constants. Finally, the NH3 laser and CO2 laser are taken as node dynamics to constitute drive-response networks for simulation. The simulation results verified the effectiveness of the synchronization criteria. Moreover, the proposed approach can rapidly track the network topology changes well and the weight topology structure values are automatically adapted to the appropriate constants in the process of synchronous transmission. Furthermore, the proposed method is universal which need not assume the node dynamics satisfy the powerful and conservative Lipchitz condition.
Keywords :
"Artificial neural networks","Adaptation models","Differential equations"
Publisher :
ieee
Conference_Titel :
Chinese Automation Congress (CAC), 2015
Type :
conf
DOI :
10.1109/CAC.2015.7382614
Filename :
7382614
Link To Document :
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