Predictive Control Using Self-Tuning Model Predictive Controllers Library
P. Chalupa
Tomas Bata University in Zlin
Abstract
The paper is focused on a library of adaptive controllers which use model predictive control design. The Self-Tuning Model Predictive Controllers Library (STuMPCoL) has been designed in the MATLAB / Simulink environment and contains a framework for design and testing of Model predictive control approach combined with on-line identification of controlled process (self-tuning control). The paper presents techniques incorporated into the STuMPCoL and describes structure of self-tunig model predictive controllers. Moreover, the contribution includes some results obtained by simulation and real-time verification of the library.
Full paper
Session
Model Predictive Control (Poster)
Reference
Chalupa, P.: Predictive Control Using Self-Tuning Model Predictive Controllers Library. Editors: Fikar, M., Kvasnica, M., In Proceedings of the 17th International Conference on Process Control ’09, Štrbské Pleso, Slovakia, 419–425, 2009
BibTeX
@inProceedings{pc09-094, | ||
author | = { | Chalupa, P.}, |
title | = { | Predictive Control Using Self-Tuning Model Predictive Controllers Library}, |
booktitle | = { | Proceedings of the 17th International Conference on Process Control '09}, |
year | = { | 2009}, |
pages | = { | 419-425}, |
editor | = { | Fikar, M. and Kvasnica, M.}, |
address | = { | Štrbské Pleso, Slovakia}, |
publisher | = { | Slovak University of Technology in Bratislava}, |
url | = { | http://www.kirp.chtf.stuba.sk/pc09/data/papers/094.pdf}} |