Minimum rule-based parallel structure fuzzy controller

One of the most important issues in fuzzy logic controller design is the number of fuzzy subsets for inputs and outputs. The number of fuzzy terms should be big enough to achieve sufficient approximation and must be small enough to save the space of memory. There is a trade off between approximation...

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Main Authors: Karimadini, Mohammad, Marhaban, Mohammad Hamiruce, Mohd Noor, Samsul Bahari, Aris, Ishak, Davari, Atefeh
Format: Conference or Workshop Item
Language:English
Published: 2005
Online Access:http://psasir.upm.edu.my/id/eprint/38993/
http://psasir.upm.edu.my/id/eprint/38993/1/38993.pdf
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author Karimadini, Mohammad
Marhaban, Mohammad Hamiruce
Mohd Noor, Samsul Bahari
Aris, Ishak
Davari, Atefeh
author_facet Karimadini, Mohammad
Marhaban, Mohammad Hamiruce
Mohd Noor, Samsul Bahari
Aris, Ishak
Davari, Atefeh
author_sort Karimadini, Mohammad
building UPM Institutional Repository
collection Online Access
description One of the most important issues in fuzzy logic controller design is the number of fuzzy subsets for inputs and outputs. The number of fuzzy terms should be big enough to achieve sufficient approximation and must be small enough to save the space of memory. There is a trade off between approximation and memory space (algorithm cycle time). This paper proposes a simple parallel structure of fuzzy controllers where simulation is performed on a real temperature model. It can be shown that the proposed parallel structure fuzzy controllers has the same performance and stability compared with the conventional fuzzy controller, with an advantage of significantly lower number of rules. This can save memory space and reduces cycle time which is an important element in practical implementation problems.
first_indexed 2025-11-15T09:43:49Z
format Conference or Workshop Item
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institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T09:43:49Z
publishDate 2005
recordtype eprints
repository_type Digital Repository
spelling upm-389932018-03-30T08:31:17Z http://psasir.upm.edu.my/id/eprint/38993/ Minimum rule-based parallel structure fuzzy controller Karimadini, Mohammad Marhaban, Mohammad Hamiruce Mohd Noor, Samsul Bahari Aris, Ishak Davari, Atefeh One of the most important issues in fuzzy logic controller design is the number of fuzzy subsets for inputs and outputs. The number of fuzzy terms should be big enough to achieve sufficient approximation and must be small enough to save the space of memory. There is a trade off between approximation and memory space (algorithm cycle time). This paper proposes a simple parallel structure of fuzzy controllers where simulation is performed on a real temperature model. It can be shown that the proposed parallel structure fuzzy controllers has the same performance and stability compared with the conventional fuzzy controller, with an advantage of significantly lower number of rules. This can save memory space and reduces cycle time which is an important element in practical implementation problems. 2005 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/38993/1/38993.pdf Karimadini, Mohammad and Marhaban, Mohammad Hamiruce and Mohd Noor, Samsul Bahari and Aris, Ishak and Davari, Atefeh (2005) Minimum rule-based parallel structure fuzzy controller. In: International Advanced Technology Congress: Conference on Intelligent Systems and Robotics, 6-8 Dec. 2005, Putrajaya, Malaysia. (pp. 1-9).
spellingShingle Karimadini, Mohammad
Marhaban, Mohammad Hamiruce
Mohd Noor, Samsul Bahari
Aris, Ishak
Davari, Atefeh
Minimum rule-based parallel structure fuzzy controller
title Minimum rule-based parallel structure fuzzy controller
title_full Minimum rule-based parallel structure fuzzy controller
title_fullStr Minimum rule-based parallel structure fuzzy controller
title_full_unstemmed Minimum rule-based parallel structure fuzzy controller
title_short Minimum rule-based parallel structure fuzzy controller
title_sort minimum rule-based parallel structure fuzzy controller
url http://psasir.upm.edu.my/id/eprint/38993/
http://psasir.upm.edu.my/id/eprint/38993/1/38993.pdf