Abstract
In this paper, the general problem of identifying the parameters describing Sugeno controllers from example data is addressed. It is shown that this approximation is ill-posed, which necessitates the use of regularization methods. Based upon this discovery, an efficient numerical algorithm for solving the general regularized approximation problem is proposed, followed by numerical examples with real-world data.
Originalsprache | Englisch |
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Seiten | 239-244 |
Seitenumfang | 6 |
Publikationsstatus | Veröffentlicht - 2001 |
Extern publiziert | Ja |
Veranstaltung | Joint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Kanada Dauer: 25 Juli 2001 → 28 Juli 2001 |
Konferenz
Konferenz | Joint 9th IFSA World Congress and 20th NAFIPS International Conference |
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Land/Gebiet | Kanada |
Ort | Vancouver, BC |
Zeitraum | 25.07.2001 → 28.07.2001 |