Design of multiple-functions controller based on machine learning

Human has the ability to learn and decide their action based on experiences when confronting a problem. Human decision often involves multi-functionality, where multiple control functions are applied for achieving a single goal. Conventional control often involves human in providing commands which m...

Full description

Saved in:
Bibliographic Details
Main Author: Syafiq Fauzi, Kamarulzaman
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/13559/1/Design%20of%20multiple-functions%20controller%20based%20on%20machine%20learning.wm.pdf
http://umpir.ump.edu.my/id/eprint/13559/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.13559
record_format eprints
spelling my.ump.umpir.135592023-06-12T07:22:25Z http://umpir.ump.edu.my/id/eprint/13559/ Design of multiple-functions controller based on machine learning Syafiq Fauzi, Kamarulzaman T Technology (General) TJ Mechanical engineering and machinery Human has the ability to learn and decide their action based on experiences when confronting a problem. Human decision often involves multi-functionality, where multiple control functions are applied for achieving a single goal. Conventional control often involves human in providing commands which mostly depends on the human decision. However, these decisions commonly involve single control function where multi-functionality can not be provided without human assistance. Learning Control helps a machine constructs its own control knowledge autonomously through operation experiences. The development of Control Knowledge through Learning Control would require a period of training that could involve a number of failures among successful attempts. The Control Knowledge obtained is usually limited to single control function based on the training environment with less flexibility in varying environment. Learning Control Systems with multiple functions could provide a wider range of control options against any environment. In this research, Learning Control System with multi-functionality is designed and developed. Here, application of Learning Control with multi-functionality provides a more human-like control operation with ability to adapt and consider the surrounding environment during control operation. The designs were evaluated through experiments and simulations where results confirm the effectiveness of the designed system. Through these results, the designs of multi-functions Learning Control may provide a safer and reliable control on control devices including complex non-linear control device. 2015 Thesis NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/13559/1/Design%20of%20multiple-functions%20controller%20based%20on%20machine%20learning.wm.pdf Syafiq Fauzi, Kamarulzaman (2015) Design of multiple-functions controller based on machine learning. PhD thesis, University of Tsukuba (Contributors, Thesis advisor: Seiji, Yasunobu).
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic T Technology (General)
TJ Mechanical engineering and machinery
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
Syafiq Fauzi, Kamarulzaman
Design of multiple-functions controller based on machine learning
description Human has the ability to learn and decide their action based on experiences when confronting a problem. Human decision often involves multi-functionality, where multiple control functions are applied for achieving a single goal. Conventional control often involves human in providing commands which mostly depends on the human decision. However, these decisions commonly involve single control function where multi-functionality can not be provided without human assistance. Learning Control helps a machine constructs its own control knowledge autonomously through operation experiences. The development of Control Knowledge through Learning Control would require a period of training that could involve a number of failures among successful attempts. The Control Knowledge obtained is usually limited to single control function based on the training environment with less flexibility in varying environment. Learning Control Systems with multiple functions could provide a wider range of control options against any environment. In this research, Learning Control System with multi-functionality is designed and developed. Here, application of Learning Control with multi-functionality provides a more human-like control operation with ability to adapt and consider the surrounding environment during control operation. The designs were evaluated through experiments and simulations where results confirm the effectiveness of the designed system. Through these results, the designs of multi-functions Learning Control may provide a safer and reliable control on control devices including complex non-linear control device.
format Thesis
author Syafiq Fauzi, Kamarulzaman
author_facet Syafiq Fauzi, Kamarulzaman
author_sort Syafiq Fauzi, Kamarulzaman
title Design of multiple-functions controller based on machine learning
title_short Design of multiple-functions controller based on machine learning
title_full Design of multiple-functions controller based on machine learning
title_fullStr Design of multiple-functions controller based on machine learning
title_full_unstemmed Design of multiple-functions controller based on machine learning
title_sort design of multiple-functions controller based on machine learning
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/13559/1/Design%20of%20multiple-functions%20controller%20based%20on%20machine%20learning.wm.pdf
http://umpir.ump.edu.my/id/eprint/13559/
_version_ 1769842503842791424
score 13.214268