Methods for designing and optimizing fuzzy controllers

Swartz, Andre Michael (2000) Methods for designing and optimizing fuzzy controllers. Masters thesis, Rhodes University.

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Abstract

We start by discussing fuzzy sets and the algebra of fuzzy sets. We consider some properties of fuzzy modeling tools. This is followed by considering the Mamdani and Sugeno models for designing fuzzy controllers. Various methods for using sets of data for desining controllers are discussed. This is followed by a chapter illustrating the use of genetic algorithms in designing and optimizing fuzzy controllers.Finally we look at some previous applications of fuzzy control in telecommunication networks, and illustrate a simple application that was developed as part of the present work.

Item Type:Thesis (Masters)
Uncontrolled Keywords:Fuzzy sets, Fuzzy systems, Fuzzy controllers
Subjects:Q Science > QA Mathematics
Divisions:Faculty > Faculty of Science > Mathematics (Pure & Applied)
ID Code:2475
Deposited By: Mrs Carol Perold
Deposited On:17 Feb 2012 09:38
Last Modified:17 Feb 2012 09:38
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