1. Proceedings
  2. I3M
  3. 2018
  4. IMAACA
  5. 10.46354/i3m.2018.imaaca.004

New results for global stability of neutral-type delayed neural networks

  • Neyir Ozcan 
  • Department of Electrical and Electronics Engineering Faculty of Engineering, Uludag University, Bursa, Turkey
Cite as
Ozcan N. (2018). New results for global stability of neutral-type delayed neural networks. Proceedings of the 11th International Conference on Integrated Modeling and Analysis in Applied Control and Automation (IMAACA 2018), pp. 28-33. DOI: https://doi.org/10.46354/i3m.2018.imaaca.004

Abstract

"This paper deals with the stability analysis of the class of
neutral-type neural networks with constant time delay.
By using a suitable Lyapunov functional, some delay
independent sufficient conditions are derived, which
ensure the global asymptotic stability of the equilibrium
point for this this class of neutral-type neural networks
with time delays with respect to the Lipschitz activation
functions. The presented stability results rely on
checking some certain properties of matrices. Therefore,
it is easy to verify the validation of the constraint
conditions on the network parameters of neural system
by simply using some basic information of the matrix
theory."

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