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A sufficient condition for absolute stability of a larger class of dynamical neural networks

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2 Author(s)
Arik, S. ; Dept. of Electron., Istanbul Univ., Turkey ; Tavsanoglu, V.

In this paper, we present a sufficient condition for absolute stability of a larger class of dynamical neural networks. It is shown that the H-matrix condition on the interconnection matrix ensures the existence, uniqueness and global asymptotic stability (GAS) of the equilibrium point with respect to slope-limited activation functions

Published in:

Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on  (Volume:47 ,  Issue: 5 )

Date of Publication:

May 2000

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