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Classification of System Dynamics Using Neural Networks

Eker, Johan LU and Vlachos, Stefan (1993) In MSc Theses
Department of Automatic Control
Abstract
The thesis is a part of a project which aims at developing highly autonomous controllers. The task of rough classification of system responses is considered. Neutral networks are trained to classify system dynamics from step- and inpulse responses. Two types of networks are discussed, the backpropagation net and Kohonen's self-organizing feature map. The theory behind these algorithms are presented. A method for normalization of the inputs in time and space is given. This is essential for robust classification. Different net configuration, training methods, and noise sensitivity are investigated. It is shown that the networks can be used as classifiers. Rules of thumb for choosing net structure and parameters are given.
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author
Eker, Johan LU and Vlachos, Stefan
supervisor
organization
year
type
H3 - Professional qualifications (4 Years - )
subject
keywords
Autonomous controller, Neutral networks, System dynamics, Classification, Transient responses, Backpropagation, Kohonen
publication/series
MSc Theses
report number
TFRT-5476
ISSN
0280-5316
language
English
id
8849023
date added to LUP
2016-03-25 20:52:47
date last changed
2016-03-25 20:52:47
@misc{8849023,
  abstract     = {{The thesis is a part of a project which aims at developing highly autonomous controllers. The task of rough classification of system responses is considered. Neutral networks are trained to classify system dynamics from step- and inpulse responses. Two types of networks are discussed, the backpropagation net and Kohonen's self-organizing feature map. The theory behind these algorithms are presented. A method for normalization of the inputs in time and space is given. This is essential for robust classification. Different net configuration, training methods, and noise sensitivity are investigated. It is shown that the networks can be used as classifiers. Rules of thumb for choosing net structure and parameters are given.}},
  author       = {{Eker, Johan and Vlachos, Stefan}},
  issn         = {{0280-5316}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{MSc Theses}},
  title        = {{Classification of System Dynamics Using Neural Networks}},
  year         = {{1993}},
}