FUZZY OBJECTIVE FUNCTIONS IN MULTIVARIABLE PREDICTIVE CONTROL

In order to incorporate fuzzy goals and constraints in model predictive control, this control technique have recently been integrated with fuzzy decision making. The goals and the constraints of the control problem are combined by using a decision function from the theory of fuzzy sets. This techniq...

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Bibliographic Details
Published inIFAC Proceedings Volumes Vol. 35; no. 1; pp. 103 - 108
Main Authors Mendonça, L.F., Sousa, J.M., Costa, J.M. Sá da
Format Journal Article
LanguageEnglish
Published 2002
Subjects
control applications
decision making
fuzzy control
Fuzzy systems
model-based control
predictive control
fuzzy control
control applications
model-based control
predictive control
decision making
Fuzzy systems
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Summary:In order to incorporate fuzzy goals and constraints in model predictive control, this control technique have recently been integrated with fuzzy decision making. The goals and the constraints of the control problem are combined by using a decision function from the theory of fuzzy sets. This technique have been studied for single-input single-output processes. This paper extends this approach for multivariable processes. The simulation of a gantry crane system is used as case study. The results show clearly the advantage of using fuzzy predictive control in multivariable systems.
ISSN:1474-6670
DOI:10.3182/20020721-6-ES-1901.00670