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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2005
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my.upm.eprints.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). |
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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. |
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Conference or Workshop Item |
author |
Karimadini, Mohammad Marhaban, Mohammad Hamiruce Mohd Noor, Samsul Bahari Aris, Ishak Davari, Atefeh |
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Karimadini, Mohammad Marhaban, Mohammad Hamiruce Mohd Noor, Samsul Bahari Aris, Ishak Davari, Atefeh Minimum rule-based parallel structure fuzzy controller |
author_facet |
Karimadini, Mohammad Marhaban, Mohammad Hamiruce Mohd Noor, Samsul Bahari Aris, Ishak Davari, Atefeh |
author_sort |
Karimadini, Mohammad |
title |
Minimum rule-based parallel structure fuzzy controller |
title_short |
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 |
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minimum rule-based parallel structure fuzzy controller |
publishDate |
2005 |
url |
http://psasir.upm.edu.my/id/eprint/38993/1/38993.pdf http://psasir.upm.edu.my/id/eprint/38993/ |
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