期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2014
卷号：11
期号：1
出版社：IJCSI Press
摘要：The robust exponential stability is investigated for a class of uncertain neutral-type neural networks with discrete and distributed time-varying delays. By introducing a new vector Lyapunov-Krasovskii functional, using Jensen integral inequality, free-weighting matrix method and linear matrix inequality(LMI) techniques, delay-dependent sufficient conditions are obtained for exponential stability of considered neural networks, which generalize some previous results in the literature. Four examples are given to show the less conservativeness of the obtained results.
关键词：Global robust exponential stability; linear matrix inequality(LMI); uncertain neutral;type neural
