NDLI: Neuro-fuzzy predictive control of thermo-optical plant

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2015 20th International Conference on Process Control (PC)

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2013 International Conference on Process Control (PC)

Neuro-fuzzy predictive control of thermo-optical plant

Content Provider	IEEE Xplore Digital Library
Author	Paulusova, J. Korosi, L. Dubravska, M. Paulus, M.
Copyright Year	2015
Description	Author affiliation: Inst. of Robot. & Cybern., FEI STU, Bratislava, Slovakia (Paulusova, J.; Korosi, L.; Dubravska, M.) \|\| Auto-MAPA, Bratislava, Slovakia (Paulus, M.)
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.
Starting Page	238
Ending Page	243
File Size	203730
Page Count	6
File Format	PDF
ISBN	9781467366274
DOI	10.1109/PC.2015.7169969
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-09
Publisher Place	Slovakia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive Control Convolution Computational modeling Predictive models Prediction algorithms Steady-state ANFIS Fuzzy Models Mathematical model Neuro-Fuzzy Predictive control
Content Type	Text
Resource Type	Article

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