Piecewise-Linear Neural Models for Process Control
P. Doležel, I. Taufer, J. Mareš
University of Pardubice
Abstract
There is introduced an algorithm which provides piecewise-linear model of nonlinear plant using artificial neural networks, in this paper. That piecewise-linear model is precise and each linear submodel is valid in some neighbourhood of actual plant state. This model can be used for plant control design. There is presented an example at the end of this paper, where defined nonlinear plant is controlled via Pole Assignment technique using piecewise-linear neural model and control response is compared to data obtained by common PI controller.
Full paper
Session
Linear and Non-linear Control System Design (Poster)
Reference
Doležel, P.; Taufer, I.; Mareš, J.: Piecewise-Linear Neural Models for Process Control. Editors: Fikar, M. and Kvasnica, M., In Proceedings of the 18th International Conference on Process Control, Tatranská Lomnica, Slovakia, June 14 – 17, 296–300, 2011.
BibTeX
| @inProceedings{pc2011-043, | ||
| author | = { | Dole\v{z}el, P. and Taufer, I. and Mare\v{s}, J.}, |
| title | = { | Piecewise-Linear Neural Models for Process Control}, |
| booktitle | = { | Proceedings of the 18th International Conference on Process Control}, |
| year | = { | 2011}, |
| pages | = { | 296-300}, |
| editor | = { | Fikar, M. and Kvasnica, M.}, |
| address | = { | Tatransk\'a Lomnica, Slovakia}, |
| publisher | = { | Slovak University of Technology in Bratislava}, |
| url | = { | http://www.kirp.chtf.stuba.sk/pc11/data/papers/043.pdf}} |