This paper focuses on a fuzzy reasoning method based on a generalized If-Then rule. Firstly, the antecedent and the consequent of an If-Then rule are considered and expressed as a component of a kind of binary L-type fuzzy relation on the product of the universes of discourse and the range of defini
On rule self-generating for fuzzy control
โ Scribed by Zhiming Zhang; Masaharu Mizumoto
- Publisher
- John Wiley and Sons
- Year
- 1994
- Tongue
- English
- Weight
- 515 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
โฆ Synopsis
It has been proved that fuzzy control is a powerful tool to control a complicated system. But, sometimes it has still suffered from collecting fuzzy control rules which is its critical part. In this article, inspired by the control strategy of the conventional PID control, we propose a rule self-generating method for fuzzy control. With the help of the proposed self-generating algorithm, we can obtain the fuzzy rules for a fuzzy controller easily. The numerical results confirm the effectivity of the designed algorithm compared with PID controller and a common Fuzzy Controller whose rules are derived from the experts' experience and knowledge by use of a practical temperature process.
๐ SIMILAR VOLUMES
A genetic algorithm (GA)-based scheme for learning fuzzy rules for controllers, called an optimized fuzzy logic controller (OFLC) was proposed by Chan, Xie and Rad (2000). In this article we first analyze their OFLC and discuss some of its limitations. We also propose some modifications on an OFLC t