Tuning fuzzy control rules via genetic algorithms

Rubén Lagunas-Jiménez, Nun Pitalúa-Díaz

Research output: Contribution to conferencePaper

2 Scopus citations

Abstract

In this paper a simple genetic algorithm is used to tuner a fuzzy controller. The genetic algorithm is used off-line in order to find the better rules by an optimization procedure. The considered plant is an experimental D.C servosystem, and the problem control corresponds to the control of the angular position. The genetic algorithm operates with populations who correspond to consequents of the rule base. © 2007 IEEE.
Original languageAmerican English
Pages364-369
Number of pages6
DOIs
StatePublished - 1 Dec 2007
Externally publishedYes
EventElectronics, Robotics and Automotive Mechanics Conference, CERMA 2007 - Proceedings -
Duration: 1 Dec 2007 → …

Conference

ConferenceElectronics, Robotics and Automotive Mechanics Conference, CERMA 2007 - Proceedings
Period1/12/07 → …

Fingerprint

Dive into the research topics of 'Tuning fuzzy control rules via genetic algorithms'. Together they form a unique fingerprint.

Cite this