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


Arik S. , Tavsanoglu V.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, cilt.47, ss.758-760, 2000 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 47 Konu: 5
  • Basım Tarihi: 2000
  • Doi Numarası: 10.1109/81.847881
  • Dergi Adı: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS
  • Sayfa Sayıları: ss.758-760

Özet

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.