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Input-to-state stability (ISS) analysis for dynamic neural networks | IEEE Journals & Magazine | IEEE Xplore

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


Abstract:

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-s...Show More

Abstract:

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.
Page(s): 1395 - 1398
Date of Publication: 30 November 1999

ISSN Information:


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