New sufficient criteria for global robust stability of neural networks with multiple time delays

In this paper, we study global robust asymptotic stability of the equilibrium point for neural networks with multiple time delays. By employing suitable Lyapunov functionals, we derive a set of delay independent sufficient conditions for global robust asymptotic stability of this class of neural net...

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Bibliographic Details
Main Authors: Yucel, E., Arik, S.
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Asymptotic stability
Bismuth
Convergence
Delay effects
Neural networks
Neurons
Robust stability
Signal processing
Sufficient conditions
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Summary:In this paper, we study global robust asymptotic stability of the equilibrium point for neural networks with multiple time delays. By employing suitable Lyapunov functionals, we derive a set of delay independent sufficient conditions for global robust asymptotic stability of this class of neural networks.
DOI:10.1109/ECTICON.2009.5137035