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Further triple integral approach to mixed-delay-dependent stability of time-delay neutral systems

机译:进一步的三重积分方法来时滞中性系统混合延迟依赖性稳定性

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Abstract This paper studies the asymptotic stability for a class of neutral systems with mixed time-varying delays. Through utilizing some Wirtinger-based integral inequalities and extending the convex combination technique, the upper bound on derivative of Lyapunov-Krasovskii (L-K) functional can be estimated more tightly and three mixed-delay-dependent criteria are proposed in terms of linear matrix inequalities (LMIs), in which the nonlinearity and parameter uncertainties are also involved, respectively. Different from those existent works, based on the interconnected relationship between neutral delay and state one, some novel triple integral functional terms are constructed and the conservatism can be effectively reduced. Finally, two numerical examples are given to show the benefits of the proposed criteria. Highlights ? The Lyapunov functional candidate can not only include the information on both neutral time-delay and state one, but also effectively utilize their interconnected relationship. ? The much tighter upper bound on time derivative of Lyapunov-Krasovskii functional can be estimated and some previously ignored information can be effectively considered. ? This work has also considered the effect of sector nonlinearity and parameter uncertainties, which can be more general than those existent works. ? Some sufficient conditions on global stability are presented and it is convenient to check their feasibility in solving LMIs.. ]]>
机译:<![cdata [ 抽象 本文研究了一类具有混合时变延迟的中性系统的渐近稳定性。通过利用一些基于丝杠的整体不等式和延伸凸组合技术,可以更加紧密地估计Lyapunov-Krasovskii(LK)功能的衍生物的上限,并且在线性矩阵不等式方面提出了三个混合延迟依赖性标准( LMIS),其中分别涉及非线性和参数不确定性。基于中立延迟与州的相互连接的关系,构造了一些新颖的三重积分术语,构建了一些新的三重功能术语,并且可以有效地减少保守主义。最后,给出了两个数值例子来显示所提出的标准的好处。 突出显示 Lyapunov功能候选者不仅可以包括关于中性时间延迟和州的信息,而且还可以有效地利用它们的互连关系。 Lyapunov-Krasovskii功能的时间衍生的更严格的上限可以估计和一些先前忽略的信息可以有效地考虑。 工作还考虑了扇区非线性和参数不确定性的影响,这可能比那些存在的作品更广泛。 < CE:标签>? 介绍了全局稳定性的一些充分条件,可以方便地检查求解LMIS的可行性.. ]]>

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