Data-driven construction of sugeno controllers: Analytical aspects and new numerical methods

Josef Haslinger; Ulrich Bodenhofer; Martin Burger

Data-driven construction of sugeno controllers: Analytical aspects and new numerical methods

Josef Haslinger^*
, Ulrich Bodenhofer
, Martin Burger

^*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Konferenzbeitrag › Papier › Begutachtung

8 Zitate (Scopus)

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
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
Land/Gebiet	Kanada
Ort	Vancouver, BC
Zeitraum	25.07.2001 → 28.07.2001

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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.",

author = "Josef Haslinger and Ulrich Bodenhofer and Martin Burger",

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AU - Bodenhofer, Ulrich

AU - Burger, Martin

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AB - 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.

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Y2 - 25 July 2001 through 28 July 2001

ER -

Data-driven construction of sugeno controllers: Analytical aspects and new numerical methods

Abstract

Konferenz

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