Input-to-state stability (ISS) analysis for dynamic neural networks

This paper presents the input-to-state (ISS) analysis for dynamic neural networks. We determine, using a Lyapunov function, conditions to guarantee ISS; they also guarantee globally asymptotically stability.

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