A delay-decomposition approach for stability of neural network with time-varying delay
Qiu Fang(邱芳)a)b)†, Cui Bao-Tong (崔宝同)a), and Ji Yan(籍艳)a)
a College of Communications and Control Engineering, Jiangnan University, Wuxi 214122, China; b Department of Mathematics, Binzhou University, Binzhou 256603, China
Abstract This paper studies delay-dependent asymptotical stability problems for the neural system with time-varying delay. By dividing the whole interval into multiple segments such that each segment has a different Lyapunov matrix, some improved delay-dependent stability conditions are derived by employing an integral equality technique. A numerical example is given to demonstrate the effectiveness and less conservativeness of the proposed methods.
Received: 01 April 2009
Revised: 19 May 2009
Accepted manuscript online:
Fund: Project supported by the National
Natural Science Foundation of China (Grant No 60674026) and the
Natural Science Foundation of Jiangsu Province of China (Grant No
BK2007016).
Cite this article:
Qiu Fang(邱芳), Cui Bao-Tong (崔宝同), and Ji Yan(籍艳) A delay-decomposition approach for stability of neural network with time-varying delay 2009 Chin. Phys. B 18 5203
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