Abstract
It is proposed in this paper a study on the influence of the Levenberg-Marquardt optimization approach for computation of the control actions in Nonlinear Model Predictive Controller. To predict the future plant behavior, a classical Takagi-Sugeno inference is used. A comparison by applying the Gradient descent and the Newton-Raphson optimization approaches is made. The efficiency of the proposed optimization strategies is demonstrated by experiments in MATLAB environment to control a Continuous Stirred Tank Reactor.
Original language | English |
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Title of host publication | 2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013 |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
ISBN (Electronic) | 978-1-4799-0661-1, 978-1-4799-0660-4 |
ISBN (Print) | 978-1-4799-0659-8 |
DOIs | |
Publication status | Published - 9 Sept 2013 |
MoE publication type | A4 Article in a conference publication |
Event | 2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013 - Albena, Bulgaria Duration: 19 Jun 2013 → 21 Jun 2013 |
Conference
Conference | 2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013 |
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Country/Territory | Bulgaria |
City | Albena |
Period | 19/06/13 → 21/06/13 |
Keywords
- Gradient descent
- Levenberg- Marcquart
- Newton-Raphson
- Nonlinear Predictive Control
- Optimization
- Takagi-Sugeno model