An Unstructured Flexible Nonlinear Model for the Cascaded Water-Tanks Benchmark

Rishi Relan, Koen Tiels, Anna Marconato, Joannes Schoukens

Research output: Contribution to journalConference paper

4 Citations (Scopus)


Many 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.
Original languageEnglish
Pages (from-to)452-457
Issue number1
Publication statusPublished - 9 Jul 2017
Event 20th IFAC International World Congress - Toulouse, France
Duration: 9 Jul 201714 Jul 2017


  • Nonlinear system identification
  • Frequency domain identification
  • Nonparametric methods


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