Title :
Model based control using fuzzy relational models
Author :
Gormandy, B.A. ; Postlethwaite, B.E.
Author_Institution :
Process Cybern. Group, Strathclyde Univ., Glasgow, UK
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1008966
