An output error algorithm for piecewise affine system identification
Within Hybrid systems, piecewise affine systems are a common class to be identified from input/output data. In this paper an improved algorithm for identifying piecewise affine systems is developed. The algorithm stems from clustering-based system identification. An affine output error algorithm is...
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Veröffentlicht in: | Control engineering practice 2012-04, Vol.20 (4), p.444-452 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Within Hybrid systems, piecewise affine systems are a common class to be identified from input/output data. In this paper an improved algorithm for identifying piecewise affine systems is developed. The algorithm stems from clustering-based system identification. An affine output error algorithm is used to identify final models. The performance of the new Piecewise Affine Output Error (PWA-OE) algorithm is demonstrated using experimental data from a Radio Frequency MicroElectroMechanical Systems switch. Compared to the existing state-of-the-art, the PWA-OE algorithm generates a potential 62% improvement in model coefficient accuracy. Furthermore the PWA-OE algorithm is less sensitive to two additional input parameter selections. |
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ISSN: | 0967-0661 1873-6939 |
DOI: | 10.1016/j.conengprac.2011.12.005 |