A New Global Asymptotic Stability Result for Delayed Cellular Neural Networks
21st Chinese Control and Decision Conference, China,Guangxi Zhuang Autonomous Region,Guilin, 2009-06-17 to 2009-06-19.
This paper studies the problem of global asymptotic stability for delayed cellular neural networks(DCNNs). A new stability condition is obtained by utilizing the Lyapunov functional method and the matrix inequality approach. This condition is less restrictive and generalizes some of the previous stability results derived in the literature.
Delayed neural networks; Global asymptotic stability; Lyapunov functionals; Matrix inequality