Adaptive fuzzy relational predictive control

Citation
Ch. Wong et al., Adaptive fuzzy relational predictive control, FUZ SET SYS, 115(2), 2000, pp. 247-260
Citations number
21
Categorie Soggetti
Engineering Mathematics
Journal title
FUZZY SETS AND SYSTEMS
ISSN journal
01650114 → ACNP
Volume
115
Issue
2
Year of publication
2000
Pages
247 - 260
Database
ISI
SICI code
0165-0114(20001016)115:2<247:AFRPC>2.0.ZU;2-L
Abstract
The performance of Two fuzzy relational controllers namely the self-learnin g predictive fuzzy controller (SLPFC) (Bourke and Fisher, Proc. 5th Int. Co nf. on Fuzzy Systems, New Orleans, 1996, pp. 464-1470) and the fuzzy relati onal long range predictive controller (FRLRPC) (Postlethwaite, IEE Proc. D 138(3) (1991) 199-206) are evaluated experimentally on a laboratory scale, non-linear, interacting tank process. Both fuzzy controllers gave good clos ed-loop control performance but the SLPFC gave slightly better results. It was also found that the choice of the on-line fuzzy relational identificati on scheme has a large impact on control performance. (C) 2000 Published by Elsevier Science B.V. All rights reserved.