An analysis of exponential stability of delayed neural networks with time varying delays.
other · Level V
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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.
Medical subject headings
- Neural Networks, Computer
- Time