数学
观察员(物理)
参数统计
区间(图论)
控制理论(社会学)
有界函数
约束(计算机辅助设计)
可见的
基质(化学分析)
奇异值分解
系数矩阵
类型(生物学)
秩(图论)
应用数学
数学分析
计算机科学
算法
特征向量
控制(管理)
复合材料
生物
生态学
物理
组合数学
量子力学
人工智能
统计
几何学
材料科学
作者
Long‐Wen Liu,Wei Xie,Lang‐wen Zhang
标识
DOI:10.1016/j.sysconle.2023.105484
摘要
In this paper, a Luenberger-type interval observer (IO) based parametric design method is proposed for singular systems with bounded uncertainties. First, the existence condition of such an IO is formulated as the matrix equations (MEs) with a constraint coefficient, and it demands no additional limitation on the measurement noise except for its boundary values. By introducing the transformation of coordinates, we further relax the above coefficient constraint, thus guaranteeing the existence of solutions to the IOs under the common observable condition. By solving the MEs, a parametric rank condition is derived as the IO design criterion, which clearly shows the available design parameters, and a more convenient construction solution is further obtained by applying the matrix block decomposition. Finally, the comparison simulations emphasize the advantages of the obtained results over existing ones.
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