Computational complexity of general fuzzy logic control and its simplification for a loop controller

Citation
Yh. Kim et al., Computational complexity of general fuzzy logic control and its simplification for a loop controller, FUZ SET SYS, 111(2), 2000, pp. 215-224
Citations number
11
Categorie Soggetti
Engineering Mathematics
Journal title
FUZZY SETS AND SYSTEMS
ISSN journal
01650114 → ACNP
Volume
111
Issue
2
Year of publication
2000
Pages
215 - 224
Database
ISI
SICI code
0165-0114(20000416)111:2<215:CCOGFL>2.0.ZU;2-F
Abstract
This paper analyzes the number of operations and parameters of general fuzz y logic control algorithms. And limitations of loop controllers to implemen t the fuzzy logic control are investigated in terms of computation time and required memory. Using analysis of general fuzzy logic control algorithms, it is shown that general fuzzy logic control algorithms are not suitable f or loop controllers. A simplified fuzzy logic control for loop controllers is presented using a fixed control table with mapping parameters. This simp lified fuzzy logic control is shown to be suitable for a loop controller wi th regard to the computation time and the required memory. For easy program ming of the simplified fuzzy logic control, a fuzzy logic control block is suggested as a specific block for general graphical block diagram editors. Experiments show that the simplified fuzzy logic control overcomes the limi tations of loop controllers and provides good performance. (C) 2000 Elsevie r Science B.V. All rights reserved.