Ersü, Enis ; Wienand, S. (2023)
An Associative Memory Based Learning Control Scheme with PI-Controller for SISO-Nonlinear Processes.
In: IFAC Proceedings Volumes, 1986, 20 (4)
doi: 10.26083/tuprints-00023393
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
The paper discusses the real-time implementation of an associative-memory-based learning control scheme with PI-controllers for nonlinear processes. Starting with a pre-assumed PI-controller which only has to stabilize the process the controller parameters are optimized on-line by a predictive optimization. This optimization uses for prediction the model of the process stored in an associative memory which is also learned on-line. The situation-dependent optimized controller parameters are also stored in an associative memory. The concept is a modification of the LERNAS-system (Ersü,1984), which is also shortly described and compared to the system described here. Some experimental results with a nonlinear pH-control demonstrate the performance of the system.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Ersü, Enis ; Wienand, S. |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | An Associative Memory Based Learning Control Scheme with PI-Controller for SISO-Nonlinear Processes |
| Sprache: | Englisch |
| Publikationsjahr: | 2023 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 1986 |
| Verlag: | IFAC - International Federation of Automatic Control |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | IFAC Proceedings Volumes |
| Jahrgang/Volume einer Zeitschrift: | 20 |
| (Heft-)Nummer: | 4 |
| DOI: | 10.26083/tuprints-00023393 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/23393 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichungsservice |
| Kurzbeschreibung (Abstract): | The paper discusses the real-time implementation of an associative-memory-based learning control scheme with PI-controllers for nonlinear processes. Starting with a pre-assumed PI-controller which only has to stabilize the process the controller parameters are optimized on-line by a predictive optimization. This optimization uses for prediction the model of the process stored in an associative memory which is also learned on-line. The situation-dependent optimized controller parameters are also stored in an associative memory. The concept is a modification of the LERNAS-system (Ersü,1984), which is also shortly described and compared to the system described here. Some experimental results with a nonlinear pH-control demonstrate the performance of the system. |
| Freie Schlagworte: | Adaptive control, Artifical intelligence, Learning systems, Nonlinear control system, pH control, Predictive control, self-organising storage |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-233934 |
| Zusätzliche Informationen: | Zugl. Konferenzveröffentlichung: IFAC Symposium on Microcomputer Application in Process Control, 22.-25.07.1986, Istanbul, Turkey |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik > Regelungsmethoden und Intelligente Systeme |
| Hinterlegungsdatum: | 28 Apr 2023 08:12 |
| Letzte Änderung: | 03 Mai 2023 09:40 |
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| Suche nach Titel in: | TUfind oder in Google |
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