Model-based methods in fuzzy systems

Tapio Rauma, Kari Haataja

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

Abstract

In this study, different model-based methods and structures are studied in the light of their usefulness mainly in control systems.The methods are divided into three groups: using a model in testing possible control actions, forming a controller from the model, and using a model in a supervised learning system.Fuzzy logic has been used in normal (rule-based) systems and in model-based systems.Reasons to use fuzzy modeling differ case to case.The reasons are analyzed based on writers' experiences in research and development projects during several years.
Original languageEnglish
Title of host publication7th European Congress on Intelligent Techniques & Soft Computing, EUFIT '99
Subtitle of host publicationcd-rom
Place of PublicationAachen
Pages299
Publication statusPublished - 1999
MoE publication typeB3 Non-refereed article in conference proceedings
Event7th European Congress on Intelligent Techniques & Soft Computing - Aachen, Germany
Duration: 13 Sep 199916 Sep 1999

Conference

Conference7th European Congress on Intelligent Techniques & Soft Computing
CountryGermany
CityAachen
Period13/09/9916/09/99

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Rauma, T., & Haataja, K. (1999). Model-based methods in fuzzy systems. In 7th European Congress on Intelligent Techniques & Soft Computing, EUFIT '99: cd-rom (pp. 299).