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  • 标题:An Unstructured Flexible Nonlinear Model for the Cascaded Water-tanks Benchmark
  • 本地全文:下载
  • 作者:Rishi Relan ; Koen Tiels ; Anna Marconato
  • 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:452-457
  • DOI:10.1016/j.ifacol.2017.08.074
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractMany real world systems exhibit a quasi linear or weakly nonlinear behavior during normal operation, and a hard saturation effect for high peaks of the input signal. A typical example of such systems is the cascaded water-tanks benchmark. This benchmark combines soft and hard nonlinearities to be identified based on relatively short data records. In this paper, a methodology to identify an unstructured flexible nonlinear state space model (NLSS) for the cascaded water-tanks benchmark is proposed. The flexibility of the NLSS model structure is demonstrated by introducing two different initialisation schemes. Furthermore the strengths and short-comings of the model structure are discussed with respect to the cascaded water-benchmark identification problem.
  • 关键词:KeywordsSystem identificationNonlinear state space modelShort-data recordsSofthard nonlinearitiesNonlinear systems
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