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Robust Reduced-order H_∞ Filter Design for Uncertain 2-D Continuous Systems with Time-varying Delays

机译:具有时变延迟的不确定2-D连续系统的强大减少H_∞过滤器设计

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摘要

This paper is concerned with the problem of designing H_∞ filters of reduced order for two dimensional (2-D) continuous systems with delay dependent described by the Roesser models, with uncertain state space matrices. These reduced-order filters are characterized in terms of linear matrix inequalities (LMI), to minimize a bound on the H_∞ noise attenuation. The methodology is also particularized for full order and zero order (static) filters, where more simple LMI conditions are derived. the numerical example are presented to illustrate the effectiveness of the proposed methodology.
机译:本文涉及设计二维(2-D)连续系统的减少顺序的H_∞过滤器的问题,具有不确定的状态空间矩阵的延迟依赖于鲁塞尔模型。这些缩小阶滤波器的特征在于线性矩阵不等式(LMI),以最小化H_∞噪声衰减的绑定。该方法也特别用于完整顺序和零阶(静态)滤波器,其中导出了更简单的LMI条件。提出了数值示例以说明所提出的方法的有效性。

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