参数统计
特征向量
观察员(物理)
计算机科学
基质(化学分析)
控制理论(社会学)
西尔维斯特矩阵
数学
线性系统
人工智能
数学分析
控制(管理)
多项式矩阵
统计
矩阵多项式
物理
多项式的
复合材料
材料科学
量子力学
作者
Wu Aiguo,Duan Guang-ren
出处
期刊:Chinese Control Conference
日期:2006-07-01
标识
DOI:10.1109/chicc.2006.4347343
摘要
A new type of observers for descriptor linear systems, proportional multiple-integral derivative (PMID) observers, is proposed. Based on a general parametric solution to a type of generalized Sylvester matrix equations, a parametric approach for designing such observers is proposed. The proposed approach establishes the complete parameterizations for all the observer gain matrices, gives the parametric expression for the corresponding left eigenvector matrix of the observer system matrix, realizes the elimination of impulsive behaviors, and guarantees the regularity of the observer system. The design method can offer all the degrees of design freedom which can be utilized to achieve various desired system specifications and performances.
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