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A New Polytopic Approximation Method for Networked Systems With Time-Varying Delay

机译:具有时变时滞的网络系统的一种新的多边形逼近方法

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Introducing a network into a control loop brings great challenges as well as benefits to the system. Some network-induced imperfections, such as time-varying delays, may constitute obstacles for control tasks. In discrete-time modeling approaches for linear networked control systems with time-varying delays, discrete-time models with uncertainties appearing in an exponential form are usually obtained. To make such models suitable for stability analysis, several different methods have been proposed in the literature to approximate the origin models as polytopic models. This brief proposes a new polytopic approximation method using a simplex type of geometrical construction under the assumption that the eigenvalues of system matrix A are all real and varied. Relatively fewer vertices are needed to construct the polytopic model. Stability conditions for the polytopic model are developed and presented in terms of linear matrix inequalities. Qualitative comparisons between the proposed method and some existing methods in aspects of computing complexity and conservatism are made by applying them to a benchmark example.
机译:将网络引入控制回路带来了巨大的挑战,也给系统带来了好处。网络引起的某些缺陷(例如随时间变化的延迟)可能会成为控制任务的障碍。在具有时变时滞的线性网络控制系统的离散时间建模方法中,通常会获得具有以指数形式出现的不确定性的离散时间模型。为了使这样的模型适合于稳定性分析,文献中已经提出了几种不同的方法来将起源模型近似为多主题模型。在系统矩阵A的特征值都是真实且变化的假设下,本摘要提出了一种使用单纯形类型的几何构造的新的多边形近似方法。构造多边形模型所需的顶点相对较少。针对线性模型不等式,开发并提出了用于多主题模型的稳定性条件。通过将它们应用到基准示例中,在计算复杂性和保守性方面对提出的方法和一些现有方法进行了定性比较。

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