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

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2 Author(s)
Sanchez, Edgar N. ; Sch. of Phys. & Math. Sci., Univ. Autonoma de Nuevo Leon, Mexico ; Perez, Jose P.

In this paper a novel approach to assess the stability of dynamic neural networks is presented. Using a Lyapunov function, we determine conditions to guarantee input-to-state stability (ISS) which also ensures global asymptotic stability (GAS). The applicability of these conditions is illustrated by two examples

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Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on  (Volume:46 ,  Issue: 11 )