Title :
Synchronization stability in an array of linearly coupled connected neural networks with multiple delays
Author :
Wang, Zhanshan ; Zhou, Dakai ; Gong, Dawei ; Zhong, Xiangnan
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
In this paper, synchronization stability problem for arrays of linearly coupled multiple delayed neural networks is studied on the basis of LMI method. The derived results greatly improve and generalize some earlier results. Some key problems between stability of recurrent neural networks and synchronization stability of arrays of coupled neural networks are discussed in some Remarks. A numerical example is used to illustrate the effectiveness of the derived results.
Keywords :
delays; recurrent neural nets; stability; synchronisation; LMI method; linearly coupled multiple delayed neural network arrays; recurrent neural network stability; synchronization stability problem; Arrays; Biological neural networks; Delay; Numerical stability; Stability analysis; Synchronization; Synchronization stability; arrays of coupled neural networks; global stability; multiple delays;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244299