A Novel Online Self-Structuring Fuzzy Control Algorithm and Its Application
This paper proposes a novel self-structuring algorithm for the online adaptive fuzzy controller (SA-OAFC). The SA-OAFC capable of adding and deleting inference rules autonomously can start operating with an empty set of fuzzy rules based on the desired output and actual output of the system to avoid...
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2015-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2015/386073 |
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doaj-e71b4cb7707449609a259f75b2e9f8ac2020-11-24T22:44:10ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/386073386073A Novel Online Self-Structuring Fuzzy Control Algorithm and Its ApplicationSiyuan Feng0Hong Bao1Xuechao Duan2Key Laboratory of Electronic Equipment Structure Design of Ministry of Education, Xidian University, 2 Taibai Road, Xi’an 710071, ChinaKey Laboratory of Electronic Equipment Structure Design of Ministry of Education, Xidian University, 2 Taibai Road, Xi’an 710071, ChinaKey Laboratory of Electronic Equipment Structure Design of Ministry of Education, Xidian University, 2 Taibai Road, Xi’an 710071, ChinaThis paper proposes a novel self-structuring algorithm for the online adaptive fuzzy controller (SA-OAFC). The SA-OAFC capable of adding and deleting inference rules autonomously can start operating with an empty set of fuzzy rules based on the desired output and actual output of the system to avoid conventional differential operation. It also takes advantage of the auxiliary fuzzy system to evaluate the approximated results with little information of the plant. The SA-OAFC is characterized by its good engineering approachability, robustness for all kinds of perturbations of the plant, and the ability to perform variable selection among a group of candidate input variables. Moreover, it manages to remarkably reduce the amount of computation and decrease the complexity of the system. This paper demonstrates the capabilities of SA-OAFC by a simulation example and then hardware-in-the-loop (HIL) experiment.http://dx.doi.org/10.1155/2015/386073 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Siyuan Feng Hong Bao Xuechao Duan |
spellingShingle |
Siyuan Feng Hong Bao Xuechao Duan A Novel Online Self-Structuring Fuzzy Control Algorithm and Its Application Mathematical Problems in Engineering |
author_facet |
Siyuan Feng Hong Bao Xuechao Duan |
author_sort |
Siyuan Feng |
title |
A Novel Online Self-Structuring Fuzzy Control Algorithm and Its Application |
title_short |
A Novel Online Self-Structuring Fuzzy Control Algorithm and Its Application |
title_full |
A Novel Online Self-Structuring Fuzzy Control Algorithm and Its Application |
title_fullStr |
A Novel Online Self-Structuring Fuzzy Control Algorithm and Its Application |
title_full_unstemmed |
A Novel Online Self-Structuring Fuzzy Control Algorithm and Its Application |
title_sort |
novel online self-structuring fuzzy control algorithm and its application |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2015-01-01 |
description |
This paper proposes a novel self-structuring algorithm for the online adaptive fuzzy controller (SA-OAFC). The SA-OAFC capable of adding and deleting inference rules autonomously can start operating with an empty set of fuzzy rules based on the desired output and actual output of the system to avoid conventional differential operation. It also takes advantage of the auxiliary fuzzy system to evaluate the approximated results with little information of the plant. The SA-OAFC is characterized by its good engineering approachability, robustness for all kinds of perturbations of the plant, and the ability to perform variable selection among a group of candidate input variables. Moreover, it manages to remarkably reduce the amount of computation and decrease the complexity of the system. This paper demonstrates the capabilities of SA-OAFC by a simulation example and then hardware-in-the-loop (HIL) experiment. |
url |
http://dx.doi.org/10.1155/2015/386073 |
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