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

Research output: Contribution to conference › Paper › peer-review

8 Citations (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.

Original language	English
Pages	239-244
Number of pages	6
Publication status	Published - 2001
Externally published	Yes
Event	Joint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada Duration: 25 Jul 2001 → 28 Jul 2001

Conference

Conference	Joint 9th IFSA World Congress and 20th NAFIPS International Conference
Country/Territory	Canada
City	Vancouver, BC
Period	25.07.2001 → 28.07.2001

Cite this

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title = "Data-driven construction of sugeno controllers: Analytical aspects and new numerical methods",

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

PY - 2001

Y1 - 2001

N2 - 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.

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

Conference

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