Electronic Journal of Differential Equations,
Vol. 2007(2007), No. 89, pp. 1-12.

Title: Global robust dissipativity of integro-differential 
       systems modelling neural networks with time delay

Authors: Baotong Cui (Jiangnan Univ., Wuxi, Jiangsu, China)
         Xuyang Lou  (Jiangnan Univ., Wuxi, Jiangsu, China)

Abstract:
 In this paper, the global robust dissipativity of
 integro-differential systems modeling neural networks with time
 delay is studied. Several sufficient conditions are derived to
 ensure the global robust dissipativity of the neural networks
 proposed by using proper Lyapunov functionals and some analytic
 techniques. The results are shown to improve the previous global
 dissipativity results derived in the literature. Some examples are
 given to illustrate the correctness of our results.
  
Submitted March 22, 2007. Published June 15, 2007.
Math Subject Classifications: 45J05, 92B20.
Key Words: Neural network; integro-differential system; 
           global dissipativity; Lyapunov functional.