DocumentCode
3483295
Title
Fuzzy modelling of first order systems
Author
Cheng, R.M.H. ; Yu, Weichun
Author_Institution
Centre for Ind. Control, Concordia Univ., Montreal, Que., Canada
Volume
2
fYear
1995
fDate
5-8 Sep 1995
Firstpage
613
Abstract
First order dynamic systems are modelled in this paper through the fuzzy logic approach. Two types of model structures are considered, One takes a general form which is applicable to a large class of first order systems. The other is a specific structure which is properly based on a priori knowledge of the system under consideration. In the latter case, the fuzzy model of the whole system becomes a combination of two fuzzy sub-models, each in a space of reduced dimensions. Simulation results exhibit the capability of fuzzy models to accommodate nonlinearities in dynamical systems
Keywords
fuzzy logic; modelling; dynamical system nonlinearities; first-order dynamic systems; fuzzy logic approach; fuzzy modelling; reduced dimension space; Buildings; Differential equations; Fuzzy logic; Fuzzy sets; Fuzzy systems; Industrial control; Input variables; Mechanical engineering; Parameter estimation; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location
Montreal, Que.
ISSN
0840-7789
Print_ISBN
0-7803-2766-7
Type
conf
DOI
10.1109/CCECE.1995.526279
Filename
526279
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