文章基本信息

标题：Event-Based Prediction-Correction State Estimator * * This work was supported in part by a Grant from the French Ministry of Higher Education and Research.
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作者：Djahid Rabehi ; Nacim Meslem ; Adnen El Amraoui 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：4027-4032
DOI：10.1016/j.ifacol.2017.08.718
语种：English
出版社：Elsevier
摘要：AbstractThis paper deals with the problem of state estimation for linear continuous-time systems based on the prediction-correction (PC) set-membership approach. Although the abundant literature on using the PC estimation approach, the case of event-based measurement sampling is still poorly investigated. In the developed approach, the measurement in the correction step of the PC approach is taken only when a prior defined threshold is crossed. A convergence analysis is proposed for ensuring the boundedness of the estimated state enclosure. The effectiveness of the proposed approach is shown through numerical simulation for an unobservable linear system. This approach is compared to the classical PC approach where the measurement is continuously taken.
关键词：KeywordsSet-membership estimationEvent-triggeredLinear system