This paper deals with the problem to obtain inputoutput 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.
Input-Output Stability for Differential Neural Networks
2011-11-01
261111 byte
Conference paper
Electronic Resource
English
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