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.
Department of Computer Engineering, Istanbul University, 34320 Avcilar, Istanbul, Turkey. ariks@istanbul.edu.tr
Sabri
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Arik
D000818:Animals; D001185:Artificial Intelligence; D003198:Computer Simulation; D016014:Linear Models; D016571:Neural Networks, Computer; D013995:Time