An analysis of exponential stability of delayed neural networks with time varying delays

Authors:
Sabri Arik
Affiliations:
Department of Computer Engineering, Istanbul University, 34320 Avcilar, Istanbul, Turkey
Venue:
Neural Networks
Year:
2004

Citing 6
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Abstract

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.