Development of fuzzy neuron controllers for industrial applications

Development of fuzzy neuron controllers for industrial applications

Two distinctive approaches are studied in this report to design neuro-fuzzy control systems for industrial applications. The first is a direct neuro-fuzzy control approach where the control is completely determined by fuzzy inference, and it requires no model of the system under control. The second...

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Main Authors: Soh, Cheong Boon., Wang, Jianliang.
Other Authors: School of Electrical and Electronic Engineering
Format: Research Report
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Online Access:http://hdl.handle.net/10356/3028
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-3028
record_format dspace
spelling sg-ntu-dr.10356-30282023-03-04T03:23:27Z Development of fuzzy neuron controllers for industrial applications Soh, Cheong Boon. Wang, Jianliang. School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Two distinctive approaches are studied in this report to design neuro-fuzzy control systems for industrial applications. The first is a direct neuro-fuzzy control approach where the control is completely determined by fuzzy inference, and it requires no model of the system under control. The second approach adopted is a neuro-fuzzy scheduling approach. Information on the system model (even though it might not be accurate) is used to design conventional controllers at various operating points. RP 20/93 2008-09-17T09:19:11Z 2008-09-17T09:19:11Z 1999 1999 Research Report http://hdl.handle.net/10356/3028 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Soh, Cheong Boon.
Wang, Jianliang.
Development of fuzzy neuron controllers for industrial applications
description Two distinctive approaches are studied in this report to design neuro-fuzzy control systems for industrial applications. The first is a direct neuro-fuzzy control approach where the control is completely determined by fuzzy inference, and it requires no model of the system under control. The second approach adopted is a neuro-fuzzy scheduling approach. Information on the system model (even though it might not be accurate) is used to design conventional controllers at various operating points.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Soh, Cheong Boon.
Wang, Jianliang.
format Research Report
author Soh, Cheong Boon.
Wang, Jianliang.
author_sort Soh, Cheong Boon.
title Development of fuzzy neuron controllers for industrial applications
title_short Development of fuzzy neuron controllers for industrial applications
title_full Development of fuzzy neuron controllers for industrial applications
title_fullStr Development of fuzzy neuron controllers for industrial applications
title_full_unstemmed Development of fuzzy neuron controllers for industrial applications
title_sort development of fuzzy neuron controllers for industrial applications
publishDate 2008
url http://hdl.handle.net/10356/3028
_version_ 1759856756857503744

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