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Adaptive fuzzy relational predictive control

✍ Scribed by C.H. Wong; S.L. Shah; M.M. Bourke; D.G. Fisher

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
276 KB
Volume
115
Category
Article
ISSN
0165-0114

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✦ Synopsis

The performance of two fuzzy relational controllers namely the self-learning predictive fuzzy controller (SLPFC) (Bourke and Fisher, Proc. 5th Int. Conf. on Fuzzy Systems, New Orleans, 1996, pp. 464 -1470) and the fuzzy relational 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 closed-loop control performance but the SLPFC gave slightly better results. It was also found that the choice of the on-line fuzzy relational identiΓΏcation scheme has a large impact on control performance.

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