An analysis of exponential stability of delayed neural networks with time varying delays.
This paper derives a new sufficient condition for the exponential stability of the equilibrium point for delayed neural networks with time varying delays by employing a Lyapunov-Krasovskii functional and using Linear Matrix Inequality (LMI) approach. This result establishes a relation between the delay time and the parameters of the network. The result is also compared with the most recent result derived in the literature.
Arik
Sabri
S
Department of Computer Engineering, Istanbul University, 34320 Avcilar, Istanbul, Turkey. ariks@istanbul.edu.tr
D000818:Animals; D001185:Artificial Intelligence; D003198:Computer Simulation; D016014:Linear Models; D016571:Neural Networks, Computer; D013995:Time