This paper deals with the problem to obtain input-output stability for a certain class of differential neural networks. Hence, by using a Lyapunov function, the conditions to guarantee finite-gain L-stability, which also ensures global exponential stability (GES), are established. Finally, the simulation of a numerical example illustrates the applicability of this approach.


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    Titel :

    Input-Output Stability for Differential Neural Networks


    Beteiligte:


    Erscheinungsdatum :

    01.11.2011


    Format / Umfang :

    261111 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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