DocumentCode
3333744
Title
Neuro-fuzzy predictive control of thermo-optical plant
Author
Paulusova, Jana ; Korosi, Ladislav ; Dubravska, Maria ; Paulus, Martin
Author_Institution
Inst. of Robot. & Cybern., FEI STU, Bratislava, Slovakia
fYear
2015
fDate
9-12 June 2015
Firstpage
238
Lastpage
243
Abstract
In this paper neuro-fuzzy predictive controller for nonlinear system is addressed, proposed and tested. The proposed neuro-fuzzy convolution model consists of a steady-state neuro-fuzzy model and a gain independent impulse response model. The proposed model is tested in model based predictive control of a real laboratory plant. The basic principles of predictive control algorithm for thermo-optical plant are proposed. The paper deals with theoretical and practical methodology, offering approach for intelligent neuro-fuzzy control design and its successful application.
Keywords
fuzzy control; neurocontrollers; nonlinear control systems; predictive control; transient response; gain independent impulse response model; neuro-fuzzy convolution model; neuro-fuzzy predictive control; nonlinear system; steady-state neuro-fuzzy model; thermo-optical plant; Computational modeling; Convolution; Mathematical model; Prediction algorithms; Predictive control; Predictive models; Steady-state; ANFIS; Fuzzy Models; Neuro-Fuzzy; Predictive Control;
fLanguage
English
Publisher
ieee
Conference_Titel
Process Control (PC), 2015 20th International Conference on
Conference_Location
Strbske Pleso
Type
conf
DOI
10.1109/PC.2015.7169969
Filename
7169969
Link To Document