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  • 标题:Diagnosis of Interconnected Systems via well tuned Model-Based Coupling Algorithms ⁎
  • 本地全文:下载
  • 作者:Markus Tranninger ; Georg Stettinger ; Martin Benedikt
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:24
  • 页码:1271-1277
  • DOI:10.1016/j.ifacol.2018.09.571
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents a heuristic tuning method for a recently proposed model-based coupling algorithm. The purpose of the coupling algorithm is to mitigate effects caused by non ideal coupling of different subsystems where coupling imperfections like time delays, data losses or noisy measurements degrade the overall system performance. If the coupling algorithm is well tuned, a consistency criterion can be used for online closed-loop diagnosis. The simplicity and effectiveness of the proposed tuning and diagnosis approach is demonstrated via a laboratory experiment.
  • 关键词:KeywordsModel Based CouplingExtended Kalman FilterHeuristic TuningIdentification ConsistencyDiagnosis
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