首页> 外文期刊>IEEE Transactions on Circuits and Systems. II, Express Briefs >Delay-Dependent Robust $H_{infty}$ Filtering for Uncertain Discrete-Time Systems With Time-Varying Delay Based on a Finite Sum Inequality
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Delay-Dependent Robust $H_{infty}$ Filtering for Uncertain Discrete-Time Systems With Time-Varying Delay Based on a Finite Sum Inequality

机译:基于有限和不等式的不确定时滞不确定离散系统的时滞相关鲁棒$ H_ {infty} $滤波

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摘要

This brief is concerned with delay-dependent robust Hinfin filtering for uncertain discrete-time systems with time-varying delay. The uncertainty is of convex polytopic type. By establishing a finite sum inequality based on quadratic terms, a new delay-dependent bounded real lemma (BRL) is derived. In combination with a parameter-dependent Lyapunov-Krasovskii functional, which allows the Lyapunov-Krasovskii matrices to be vertex dependent, the obtained BRL is modified into a new version to suit for convex polytopic uncertainties. Neither model transformation nor bounding technique for cross terms is involved. Based on the new BRL, the designed filter is provided in terms of a linear matrix inequality (LMI), which is easily solved by Matlab LMI toolbox. A numerical example is given to illustrate the effectiveness of the proposed method
机译:本摘要涉及具有时变延迟的不确定离散时间系统的依赖于延迟的鲁棒Hinfin滤波。不确定性是凸多面体类型。通过建立基于二次项的有限和不等式,可以得出新的依赖于延迟的有界实数引理(BRL)。结合参数依赖的Lyapunov-Krasovskii泛函,使Lyapunov-Krasovskii矩阵与顶点相关,将获得的BRL修改为新版本,以适应凸多边形不确定性。既不涉及交叉项的模型转换也不涉及边界技术。基于新的BRL,根据线性矩阵不等式(LMI)提供了设计的滤波器,可以通过Matlab LMI工具箱轻松解决。数值例子说明了该方法的有效性。

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