DocumentCode :
3625633
Title :
Continuous-Time Wiener-Model Predictive Control of a pH Process
Author :
Simon Oblak;Igor Skrjanc
Author_Institution :
University of Ljubljana, Faculty of Electrical Engineering, Tr?a?ka cesta 25, SI-1000 Ljubljana, Slovenia. E-mail: simon.oblak@fe.uni-lj.si
fYear :
2007
fDate :
6/1/2007 12:00:00 AM
Firstpage :
771
Lastpage :
776
Abstract :
This paper deals with a novel formulation of continuous-time model-predictive control for nonlinear systems. A nonlinear-mapping approximation, employing a fuzzy system, is also an integral part of the control scheme, and thus removes the need for output-function invertibility. Analytical formulation of the control law makes it possible to use the method in practice, especially in chemical industry. An illustrative experiment is conducted to compare the proposed approach with a method of nonlinear robust Hinfin control of a pH neutralization process.
Keywords :
"Predictive control","Predictive models","Signal mapping","Nonlinear control systems","Nonlinear systems","Fuzzy systems","Control system synthesis","Control systems","Chemical analysis","Chemical industry"
Publisher :
ieee
Conference_Titel :
Information Technology Interfaces, 2007. ITI 2007. 29th International Conference on
ISSN :
1330-1012
Print_ISBN :
953-7138-09-7
Type :
conf
DOI :
10.1109/ITI.2007.4283869
Filename :
4283869
Link To Document :
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