Baotong Cui, Xuyang Lou
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.
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Baotong Cui College of Communication and Control Engineering Jiangnan University, 1800 Lihu Rd. Wuxi, Jiangsu 214122, China email: btcui@vip.sohu.com |
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Xuyang Lou College of Communication and Control Engineering Jiangnan University, 1800 Lihu Rd. Wuxi, Jiangsu 214122, China eamil: louxuyang28945@163.com |
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