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Neural Generalized Predictive Control of a non-linear Process

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Authors:
  • Sørensen, Paul Haase ;
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    Department of Automation, Technical University of Denmark
  • Nørgård, Peter Magnus ;
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    Department of Automation, Technical University of Denmark
  • Ravn, Ole ;
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    Orcid logo0000-0003-2265-0031
    Department of Automation, Technical University of Denmark
  • Poulsen, Niels Kjølstad
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    Orcid logo0000-0002-8476-0052
    Department of Informatics and Mathematical Modeling, Technical University of Denmark
Abstract:
The use of neural network in non-linear control is made difficult by the fact the stability and robustness is not guaranteed and that the implementation in real time is non-trivial. In this paper we introduce a predictive controller based on a neural network model which has promising stability qualities. The controller is a non-linear version of the well-known generalized predictive controller developed in linear control theory. It involves minimization of a cost function which in the present case has to be done numerically. Therefore, we develop the numerical algorithms necessary in substantial detail and discuss the implementation difficulties. The neural generalized predictive controller is tested on a pneumatic servo sys-tem.
Type:
Conference paper
Language:
English
Published in:
Proceedings of the Sci' 98, 1998
Keywords:
Main Research Area:
Science/technology
Conference:
World Multiconference on Systemics, Cybernetics and Informatics, 1998
Submission year:
1998
ID:
2389421671
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