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Zbl 0997.90095
Arik, Sabri; Tavsanoglu, Vedat
On the global asymptotic stability of delayed cellular neural networks. (English)
[J] IEEE Trans. Circuits Syst., I, Fundam. Theory Appl. 47, No.4, 571-574 (2000). ISSN 1057-7122

Summary: A sufficient condition is presented for the uniqueness and global asymptotic stabillty of the equilibrium point for delayed cellular neural networks. This condition imposes constraints on the feedback matrices independendy of the delay parameter. This result is also discussed from the point of view of its relationship to earlier results.

MSC 2000:: *90C35 Network programming
37N40 Dynamical systems in optimization and economics
92B20 General theory of neural networks
34K60 Applications of functional-differential equations

Keywords: uniqueness; global asymptotic stabillty; equilibrium point; delayed cellular neural networks; feedback matrices

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