supported by the National Natural Science Foundation of China (60874025);the Natural Science Foundation of Hunan Province(10JJ6098);the Scientific Research Fund of Hunan Provincial Education Department (10C0638)
This paper deals with the problem of stability for systems with delay varying in an interval.A new Lyapunov functional,which makes use of the information of both the lower and upper bounds of the interval time-varying...
supported by National Natural Science Foundation of China (No. 60874025);Natural Science Foundation of Hunan Province of China (No. 10JJ6098)
This paper deals with the stability of static recurrent neural networks (RNNs) with a time-varying delay. An augmented Lyapunov-Krasovskii functional is employed, in which some useful terms are included. Furthermore...