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
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;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3