A NOTE ON STABILITY OF ANALOG NEURAL NETWORKS WITH TIME DELAYS

Authors
CAO YJ WU QH
Citation
Yj. Cao et Qh. Wu, A NOTE ON STABILITY OF ANALOG NEURAL NETWORKS WITH TIME DELAYS, IEEE transactions on neural networks, 7(6), 1996, pp. 1533-1535
Citations number
13
Categorie Soggetti
Computer Application, Chemistry & Engineering","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence","Computer Science Hardware & Architecture","Computer Science Theory & Methods
Journal title
IEEE transactions on neural networks → ACNP
ISSN journal
10459227
Volume
7
Issue
6
Year of publication
1996
Pages
1533 - 1535
Database
ISI
SICI code
1045-9227(1996)7:6<1533:ANOSOA>2.0.ZU;2-E
Abstract
This note presents a generalized sufficient condition which guarantees stability of analog neural networks with time delays. The condition i s derived using a Lyapunov functional and the stability criterion is s tated as: the equilibrium of analog neural networks with delays is glo bally asymptotically stable if the product of the norm of connection m atrix and the maximum neuronal gain is less than one.