An Adaptive Fuzzy Model Predictive Control System for the Textile Fiber Industry
S. Berlik, M. Nasiri, in: E. Hüllermeier, R. Kruse, F. Hoffmann (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, Springer Berlin Heidelberg, Berlin, Heidelberg, 2010, pp. 729–736.
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Konferenzbeitrag
| Veröffentlicht
| Englisch
Autor*in
Berlik, Stefan
;
Nasiri, Maryam


Herausgeber*in
Hüllermeier, Eyke;
Kruse, Rudolf;
Hoffmann, Frank
Abstract
Many process steps in the production of modern fibers and yarns are hallmarked by their high complexity and require thus a great know-how of the operating personnel. To support their work an adaptive fuzzy model predictive control system has been designed whose characteristics are sketched here. The system is build upon an expert specified rule base and comprises a data driven optimization component. Two disparate types of measures are collected and exploited for this: continuous available online measurements stemming from machine sensors and sporadic analyses from laboratory spot tests. Further key feature is an inferential control mechanism that allows for continuous control in absence of the primary values from the lab.
Erscheinungsjahr
Titel des Konferenzbandes
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications
Seite
729-736
Konferenz
13th International Conference, IPMU 2010
Konferenzort
Dortmund, Germany
Konferenzdatum
2010-06-28 – 2010-07-02
ISBN
ISSN
eISSN
FH-PUB-ID
Zitieren
Berlik, Stefan ; Nasiri, Maryam: An Adaptive Fuzzy Model Predictive Control System for the Textile Fiber Industry. In: Hüllermeier, E. ; Kruse, R. ; Hoffmann, F. (Hrsg.): Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, Communications in Computer and Information Science. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010, S. 729–736
Berlik S, Nasiri M. An Adaptive Fuzzy Model Predictive Control System for the Textile Fiber Industry. In: Hüllermeier E, Kruse R, Hoffmann F, eds. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. Communications in Computer and Information Science. Berlin, Heidelberg: Springer Berlin Heidelberg; 2010:729-736. doi:10.1007/978-3-642-14058-7_75
Berlik, S., & Nasiri, M. (2010). An Adaptive Fuzzy Model Predictive Control System for the Textile Fiber Industry. In E. Hüllermeier, R. Kruse, & F. Hoffmann (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications (pp. 729–736). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-14058-7_75
@inproceedings{Berlik_Nasiri_2010, place={Berlin, Heidelberg}, series={Communications in Computer and Information Science}, title={An Adaptive Fuzzy Model Predictive Control System for the Textile Fiber Industry}, DOI={10.1007/978-3-642-14058-7_75}, booktitle={Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications}, publisher={Springer Berlin Heidelberg}, author={Berlik, Stefan and Nasiri, Maryam}, editor={Hüllermeier, Eyke and Kruse, Rudolf and Hoffmann, FrankEditors}, year={2010}, pages={729–736}, collection={Communications in Computer and Information Science} }
Berlik, Stefan, and Maryam Nasiri. “An Adaptive Fuzzy Model Predictive Control System for the Textile Fiber Industry.” In Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, edited by Eyke Hüllermeier, Rudolf Kruse, and Frank Hoffmann, 729–36. Communications in Computer and Information Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. https://doi.org/10.1007/978-3-642-14058-7_75.
S. Berlik and M. Nasiri, “An Adaptive Fuzzy Model Predictive Control System for the Textile Fiber Industry,” in Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, Dortmund, Germany, 2010, pp. 729–736.
Berlik, Stefan, and Maryam Nasiri. “An Adaptive Fuzzy Model Predictive Control System for the Textile Fiber Industry.” Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, edited by Eyke Hüllermeier et al., Springer Berlin Heidelberg, 2010, pp. 729–36, doi:10.1007/978-3-642-14058-7_75.