Abstract
In this paper, global robust stability of neural networks with variable delays is studied. We employ homeomorphism techniques and Lyapunov functions to establish some sufficient conditions ensuring the global robust exponential stability and asymptotic stability of neural networks with variable delays. The new and useful results obtained in this paper extend and improve the existing ones in the previous literature.
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