Internal Model Control of Thermo-Optical Plant
J. Paulusová, M. Paulus
Slovak University of Technology in Bratislava
Abstract
In this paper a robust predictive neuro-fuzzy control method for a nonlinear plant is addressed, proposed and tested. A neuro-fuzzy model is used to identify the process and then provides predictions about the process behavior, based on control actions applied to the system. The paper consists of theoretical and practical section, offers an internal model control and a neuro-fuzzy internal model control designs and their successful application. The structure of both of algorithms is described in detail. The proposed control algorithms are applied to control of a thermo-optical plant.
Full paper
Session
Intelligent Control Systems (Poster)
Reference
Paulusová, J.; Paulus, M.: Internal Model Control of Thermo-Optical Plant. Editors: Fikar, M. and Kvasnica, M., In Proceedings of the 2017 21st International Conference on Process Control (PC), Štrbské Pleso, Slovakia, June 6 – 9, 179–184, 2017.
BibTeX
| @inProceedings{pc2017-026, | ||
| author | = { | Paulusov\'a, J. and Paulus, M.}, |
| title | = { | Internal Model Control of Thermo-Optical Plant}, |
| booktitle | = { | Proceedings of the 2017 21st International Conference on Process Control (PC)}, |
| year | = { | 2017}, |
| pages | = { | 179-184}, |
| editor | = { | Fikar, M. and Kvasnica, M.}, |
| address | = { | \v{S}trbsk\'e Pleso, Slovakia}} |