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This paper studies delay-dependent asymptotical stability problems for the neural system with time-varying delay.By dividing the whole interval into multiple segments such that each segment has a different Lyapunov matrix,some improved delay-dependent stability conditions are derived by employing an integral equality technique.A numerical example is given to demonstrate the effectiveness and less conservativeness of the proposed methods. 相似文献
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Improved delay-dependent globally asymptotic stability of delayed uncertain recurrent neural networks with Markovian jumping parameters 下载免费PDF全文
In this paper,we have improved delay-dependent stability criteria for recurrent neural networks with a delay varying over a range and Markovian jumping parameters.The criteria improve over some previous ones in that they have fewer matrix variables yet less conservatism.In addition,a numerical example is provided to illustrate the applicability of the result using the linear matrix inequality toolbox in MATLAB. 相似文献
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