๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A method of inducing rules for fuzzy controllers

โœ Scribed by K Kobayashi; R Murai; H Ogata; M Takegaki; T Ishioka


Publisher
Elsevier Science
Year
1991
Weight
694 KB
Volume
16
Category
Article
ISSN
0066-4138

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Learning fuzzy rules for controllers wit
โœ T. Pal; N. R. Pal; M. Pal ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 154 KB

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

Crossing unordered sets of rules in evol
โœ Luis Magdalena ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 206 KB

In recent years the use of genetic or evolutionary techniques has produced interesting results in the automatic generation of knowledge bases for fuzzy logic controllers. Three different representations of the rule base have been considered: lists of rules, relational matrices, and decision tables.

On rule self-generating for fuzzy contro
โœ Zhiming Zhang; Masaharu Mizumoto ๐Ÿ“‚ Article ๐Ÿ“… 1994 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 515 KB

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-gen

Systematic design method of stabilizatio
โœ Jianqiang Yi; Naoyoshi Yubazaki; Kaoru Hirota ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 244 KB

A systematic method to construct stabilization fuzzy controllers for a single pendulum system and a series-type double pendulum system is presented based on the single input rule modules (SIRMs) dynamically connected fuzzy inference model. The angle and angular velocity of each pendulum and the posi