Dissertation/Thesis

Qualitative Modeling and Controller Design using Dynamic Fuzzy Systems

Bibliographic Details
Title: Qualitative Modeling and Controller Design using Dynamic Fuzzy Systems
Authors: Klaus Schmid, Volker Krebs
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://www-irs.etec.uni-karlsruhe.de/publikat/k-eufi99.ps.
Publication Year: 1999
Collection: CiteSeerX
Subject Terms: qualitative reasoning, dynamic fuzzy system, inference with interpolating rules, interpolation, modelbased control, inverse model control, non-linear control
Description: Qualitative modeling may be applied when knowledge about a system is only available in linguistic form. The knowledge might be processed by a dynamic fuzzy system consisting of a rule base and an inference method modeling human reasoning. Conventional fuzzy inference methods do not consider this association to human reasoning and therefore are not suitable for the dynamic processing of linguistic knowledge. Inference has to provide both, quantitative and qualitative information about the model output. In this paper a new inference method based on the concept of interpolating rules is presented. It results in a mapping of fuzzy inputs onto fuzzy outputs with a feedback to the input, considering in particular the informational content of the fuzzy sets. Thus, a dynamic process model is built from given linguistic knowledge in form of rules. Finally, a controller design method is presented based on the qualitative process model. KEYWORDS: qualitative reasoning, dynamic fuzzy system, inf.
Document Type: Thesis
File Description: application/postscript
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.45.9632
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.45.9632
http://www-irs.etec.uni-karlsruhe.de/publikat/k-eufi99.ps
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.36AB6787
Database: BASE
Description
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