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
Article, Secondary publication, Publisher's Version
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| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | An Associative Memory Based Learning Control Scheme with PI-Controller for SISO-Nonlinear Processes |
| Language: | English |
| Date: | 2023 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 1986 |
| Publisher: | IFAC - International Federation of Automatic Control |
| Journal or Publication Title: | IFAC Proceedings Volumes |
| Volume of the journal: | 20 |
| Issue Number: | 4 |
| DOI: | 10.26083/tuprints-00023393 |
| Corresponding Links: | |
| Origin: | Secondary publication service |
| 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. |
| Uncontrolled Keywords: | Adaptive control, Artifical intelligence, Learning systems, Nonlinear control system, pH control, Predictive control, self-organising storage |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-233934 |
| Additional Information: | Zugl. Konferenzveröffentlichung: IFAC Symposium on Microcomputer Application in Process Control, 22.-25.07.1986, Istanbul, Turkey |
| Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
| Divisions: | 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Intelligent Systems |
| Date Deposited: | 28 Apr 2023 08:12 |
| Last Modified: | 06 Jul 2023 14:03 |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/23393 |
| PPN: | 509345964 |
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