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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    Title :

    Input-Output Stability for Differential Neural Networks


    Contributors:


    Publication date :

    2011-11-01


    Size :

    261111 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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