文章基本信息

标题：Fault estimation for discrete time LPV systems under noisy scheduling measurements
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作者：Tamas Luspay ; Tamas Luspay ; Balázs Kulcsár 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：21
页码：1018-1023
DOI：10.1016/j.ifacol.2015.09.660
语种：English
出版社：Elsevier
摘要：Abstract Developed in the paper, is a systematic design framework for parameter-dependent fault diagnosis, with noise corrupted measurements of the scheduling parameter. A stochastic fault estimation filter design method is addressed for a class of discrete-time Linear Parameter Varying (LPV) systems. First, the average valued filter stability is ensured by means of a quadratic dissipativity condition. Apart stability, within the same mean square framework a robust performance objective is defined. Conditions to satisfy robust stability requirements are translated to an optimization problem subject to Bilinear Matrix Inequality (BMI) constraints. A comparative numerical example is given to illustrate and validate the proposed methodology.
关键词：KeywordsLinear Parameter Varying systemsFault DetectionStochastic Uncertainty