Global robust dissipativity of integro-differential systems modelling neural networks with time delay
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Date
2007-06-15
Authors
Cui, Baotong
Lou, Xuyang
Journal Title
Journal ISSN
Volume Title
Publisher
Texas State University-San Marcos, Department of Mathematics
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.
Description
Keywords
Neural network, Integro-differential system, Global dissipativity, Lyapunov functional
Citation
Cui, B., & Lou, X. (2007). Global robust dissipativity of integro-differential systems modelling neural networks with time delay. <i>Electronic Journal of Differential Equations, 2007</i>(89), pp. 1-12.
Rights
Attribution 4.0 International