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Author Sousa, J.M. ♦ Babuska, R. ♦ Bruijn, P. ♦ Verbruggen, H.B.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1996
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Fuzzy control ♦ Predictive control ♦ Humans ♦ Automatic control ♦ Control systems ♦ Decision making ♦ Knowledge acquisition ♦ Laboratories ♦ Error correction ♦ Optimal control
Abstract The use of fuzzy goals and fuzzy constraints in predictive control allows for a more flexible aggregation of the control objectives than the usual weighted sum of squared errors. A multistage decision making algorithm is applied to compute the optimal control action. Compared to the standard quadratic objective function, with the fuzzy decision making approach, the designer has more freedom in specifying the desired process behavior. This paper presents an experimental comparison of different cost functions, using an example of container crane control. The conventional quadratic criterion is compared with a conjunctive aggregation of fuzzy goals. The results show that a better performance can be achieved by using fuzzy goals. On the other hand, the optimization problem associated with the multistage decision making procedure has higher computational demands.
Description Author affiliation: Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands (Sousa, J.M.)
ISBN 0780336453
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1996-09-11
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 572.75 kB
Page Count 6
Starting Page 1782
Ending Page 1787


Source: IEEE Xplore Digital Library