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...

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Main Author:	Syafiq Fauzi, Kamarulzaman
Format:	Thesis
Language:	English
Published:	2015
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/13559/1/Design%20of%20multiple-functions%20controller%20based%20on%20machine%20learning.wm.pdf
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id	my-ump-ir.13559
record_format	uketd_dc
spelling	my-ump-ir.135592023-06-12T07:22:25Z Design of multiple-functions controller based on machine learning 2015 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 http://umpir.ump.edu.my/id/eprint/13559/ http://umpir.ump.edu.my/id/eprint/13559/1/Design%20of%20multiple-functions%20controller%20based%20on%20machine%20learning.wm.pdf pdf en public phd doctoral University of Tsukuba . Seiji, Yasunobu
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
collection	UMPSA Institutional Repository
language	English
advisor	Seiji, Yasunobu
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
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
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
granting_institution	University of Tsukuba
granting_department	.
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/13559/1/Design%20of%20multiple-functions%20controller%20based%20on%20machine%20learning.wm.pdf
_version_	1783731990292332544

Design of multiple-functions controller based on machine learning

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