Genetic algorithms based optimal fuzzy logic control system design

Genetic algorithms based optimal fuzzy logic control system design

The goal of this thesis is to develop systematic design methodologies for fuzzy logic controller (FLC) using genetic algorithms (GAs). Main subjects are how to systematize the fuzzy logic controller design procedure and how to embed the genetic algorithms with the control objectives or performance c...

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Bibliographic Details
Main Author: Qi, Xiaoming
Other Authors: Chin, Teck Chai
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Online Access:http://hdl.handle.net/10356/19654
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Institution: Nanyang Technological University
Language: English
Description
Summary:The goal of this thesis is to develop systematic design methodologies for fuzzy logic controller (FLC) using genetic algorithms (GAs). Main subjects are how to systematize the fuzzy logic controller design procedure and how to embed the genetic algorithms with the control objectives or performance criteria.

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