DocumentCode
582025
Title
A mode and control adaptive almost surely asymptotically synchronization for stochastic time delay neural network with Markovian switching
Author
Wuneng, Zhou ; Yan, Gao ; Yuqing, Sun ; Xiangwu, Ding ; Dongbing, Tong ; Chuan, Ji
Author_Institution
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
fYear
2012
fDate
25-27 July 2012
Firstpage
2877
Lastpage
2882
Abstract
The problem of adaptive almost surely asymptotically synchronization for stochastic time delay neural network with Markovian Switching is considered in this paper. By using M-matrix method, a sufficient condition under which the response system adaptive almost surely asymptotically synchronizes with the drive system is obtained. To illustrate the effectiveness of the result proposed in this paper, a numerical example is given.
Keywords
adaptive control; asymptotic stability; delays; matrix algebra; neurocontrollers; stochastic systems; M-matrix method; Markovian switching; adaptive control; asymptotically synchronization; stochastic time delay neural network; Adaptive systems; Delay; Educational institutions; Neural networks; Switches; Synchronization; Vectors; Adaptive Almost Surely Asymptotically Synchronization; Markovian Switching; Neural Networks; Stochastic Noise; Time-Varying Delays;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2012 31st Chinese
Conference_Location
Hefei
ISSN
1934-1768
Print_ISBN
978-1-4673-2581-3
Type
conf
Filename
6390414
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