A Novel Condition for Robust Stability of Delayed Neural Networks

Ozcan N., Yucel E., Arik S.

22nd International Conference on Neural Information Processing (ICONIP), İstanbul, Turkey, 9 - 12 November 2015, vol.9491, pp.273-280 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 9491
  • Doi Number: 10.1007/978-3-319-26555-1_31
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.273-280
  • Istanbul University Affiliated: Yes

Abstract

This paper presents a novel sufficient condition for the existence, uniqueness and global robust asymptotic stability of the equilibrium point for the class of delayed neural networks by using the Homomorphic mapping and the Lyapunov stability theorems. An important feature of the obtained result is its low computational complexity as the reported result can be verified by checking some well-known properties of some certain classes of matrices, which simplify the verification of the derived result.