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Non‐Linear Predictive Control of a Three‐Phase Catalytic Reactor
Author(s) -
Costa Aline C.,
Filho Rubens Maciel
Publication year - 2003
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.5450810525
Subject(s) - model predictive control , cyclohexanol , control theory (sociology) , process (computing) , phase (matter) , computer science , work (physics) , linear model , control (management) , mathematical optimization , mathematics , engineering , catalysis , chemistry , artificial intelligence , machine learning , mechanical engineering , biochemistry , organic chemistry , operating system
In this work, the predictive control of a three‐phase catalytic reactor is considered. A predictive control algorithm, which has a non‐linear internal model represented by functional link networks, is proposed. This network structure has been shown to have a good non‐linear approximation capability, with the advantage that the estimation of its weight is a linear optimization problem. The results show the potential of the proposed procedure when it is applied to the 2‐methyl‐cyclohexanol production process, which is a non‐linear, distributed parameter and time‐varying process, typical of many important industrial systems.

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