da Costa Sousa, JM and Kaymak, U 2001, 'Model predictive control using fuzzy decision functions' , IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, 31 (1) , pp. 54-65.
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Abstract—Fuzzy predictive control integrates conventional model predictive control with techniques from fuzzy multicriteria decision making, translating the goals and the constraints to predictive control in a transparent way. The information regarding the (fuzzy) goals and the (fuzzy) constraints of the control problem is combined by using a decision function from the theory of fuzzy sets. This paper investigates the use of fuzzy decision making (FDM) in model predictive control (MPC), and compares the results to those obtained from conventional MPC. Attention is also paid to the choice of aggregation operators for fuzzy decision making in control. Experiments on a nonminimum phase, unstable linear system, and on an air-conditioning system with nonlinear dynamics are studied. It is shown that the performance of the model predictive controller can be improved by the use of fuzzy criteria in a fuzzy decision making framework.
|Uncontrolled Keywords:||Fuzzy criteria, fuzzy decision making (FDM), fuzzy predictive control, model predictive control (MPC)|
|Themes:||Subjects / Themes > T Technology > TK Electrical engineering. Electronics Nuclear engineering
Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Subjects outside of the University Themes
|Schools:||Schools > School of Computing, Science and Engineering|
|Journal or Publication Title:||IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics|
|Publisher:||Institute of Electrical and Electronics Engineers (IEEE)|
|Depositing User:||Institutional Repository|
|Date Deposited:||12 Mar 2009 15:24|
|Last Modified:||01 Dec 2015 00:04|
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