Please use this identifier to cite or link to this item:
Title: Observation based control model approximation through fuzzy-genetic learning
Authors: Foo, Tee Jong.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2004
Abstract: An approach for control model approximation using fuzzy-genetic learning techniques is considered in this report. The focus will be on the hardware setup for capturing and recording scenes of the control session. Subsequently, the software aspect of data processing required to filter the signals recorded to derive the necessary samples to be used in the approximation of the control model using the fuzzy-genetic learning technique. Based on the observations, the learning module is able to derive an n-rule fuzzy control system for the problem in consideration.
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
  Restricted Access
5.04 MBAdobe PDFView/Open

Page view(s) 20

Updated on Jun 14, 2024


Updated on Jun 14, 2024

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.