An Unstructured Flexible Nonlinear Model for the Cascaded Water-tanks Benchmark*. Issue 1 (July 2017)

• Record Type: Journal Article
• Authors: Relan, Rishi; Tiels, Koen; Marconato, Anna; Schoukens, Johan
• Is Part Of: IFAC-PapersOnLine. Volume 50:Issue 1(2017)
• Page Start: 452
• Page End: 457
• Publication Date: 2017-07
• Subjects: System identification -- Nonlinear state space model -- Short-data records -- Soft -- hard nonlinearities -- Nonlinear systems; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2017.08.074
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: 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.