Fuzzy relational identi"cation builds a relational model describing a system's behaviour by a nonlinear mapping between its variables. In this paper, we propose a new fuzzy relational algorithm based on the simpli"ed max}min relational equation. The algorithm presents an adaptation method applied to
Fuzzy relational predictive identification
β Scribed by C.H. Wong; S.L. Shah; D.G. Fisher
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 618 KB
- Volume
- 113
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
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
In the present article we review the main research works in fuzzy databases; propose an extension of relation division operator to fuzzy databases; provide a model for fuzzy information and resolve the identification problem in fuzzy databases. For this, three notions are relevant: (a) the concept o