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

Josef Haslinger, Ulrich Bodenhofer, Martin Burger

Research output: Contribution to conferencePaperpeer-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 languageEnglish
Pages239-244
Number of pages6
Publication statusPublished - 2001
EventJoint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada
Duration: 25 Jul 200128 Jul 2001

Conference

ConferenceJoint 9th IFSA World Congress and 20th NAFIPS International Conference
CountryCanada
CityVancouver, BC
Period25.07.200128.07.2001

Fingerprint Dive into the research topics of 'Data-driven construction of sugeno controllers: Analytical aspects and new numerical methods'. Together they form a unique fingerprint.

Cite this