Title :
New sufficient criteria for global robust stability of neural networks with multiple time delays
Author :
Yucel, Eylem ; Arik, Sabri
Author_Institution :
Dept. of Comput. Eng., Istanbul Univ., Istanbul, Turkey
Abstract :
In this paper, we study global robust asymptotic stability of the equilibrium point for neural networks with multiple time delays. By employing suitable Lyapunov functionals, we derive a set of delay independent sufficient conditions for global robust asymptotic stability of this class of neural networks.
Keywords :
Lyapunov methods; asymptotic stability; delays; neural nets; Lyapunov functional; global robust asymptotic stability; multiple time delay; neural network; Artificial intelligence; Asymptotic stability; Bismuth; Convergence; Delay effects; Neural networks; Neurons; Robust stability; Signal processing; Sufficient conditions;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on
Conference_Location :
Pattaya, Chonburi
Print_ISBN :
978-1-4244-3387-2
Electronic_ISBN :
978-1-4244-3388-9
DOI :
10.1109/ECTICON.2009.5137035
