An Analysis of Stability of a Class of Neutral-Type Neural Networks with Discrete Time Delays

Autor: Zeynep Orman, Sabri Arik
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: Abstract and Applied Analysis, Vol 2013 (2013)
Druh dokumentu: article
ISSN: 1085-3375
1687-0409
DOI: 10.1155/2013/143585
Popis: The problem of existence, uniqueness, and global asymptotic stability is considered for the class of neutral-type neural network model with discrete time delays. By employing a suitable Lyapunov functional and using the homeomorphism mapping theorem, we derive some new delay-independent sufficient conditions for the existence, uniqueness, and global asymptotic stability of the equilibrium point for this class of neutral-type systems. The obtained conditions basically establish some norm and matrix inequalities involving the network parameters of the neural system. The main advantage of the proposed results is that they can be expressed in terms of network parameters only. Some comparative examples are also given to compare our results with the previous corresponding results and demonstrate the effectiveness of the results presented.
Databáze: Directory of Open Access Journals