DocumentCode
1713758
Title
Model based control using fuzzy relational models
Author
Gormandy, B.A. ; Postlethwaite, B.E.
Author_Institution
Process Cybern. Group, Strathclyde Univ., Glasgow, UK
Volume
3
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
1581
Lastpage
1584
Abstract
The development of fuzzy internal model control (FIMC) is analogous to that of linear IMC. At the core of the FIMC is the crisp consequent fuzzy relational model. We compare the behaviour of FIMC to IMC on a variety of linear systems. The comparison shows that, although FIMC behaves well when used with SISO systems, it suffers severe difficulties in dealing with MIMO systems with dead-times. A possible solution to this, again from analogy with linear IMC, is to approximate the model inverse with a model predictive controller
Keywords
MIMO systems; fuzzy control; fuzzy set theory; linear systems; predictive control; MIMO systems; SISO systems; crisp consequent fuzzy relational model; fuzzy internal model control; linear systems; model based control; model predictive controller; Chemical engineering; Chemical processes; Cybernetics; Error correction; Fuzzy control; Fuzzy logic; Fuzzy systems; Inverse problems; MIMO; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location
Melbourne, Vic.
Print_ISBN
0-7803-7293-X
Type
conf
DOI
10.1109/FUZZ.2001.1008966
Filename
1008966
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