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A reinforcement learning fuzzy controller for the ball and plate system
School of Science and Technology of Örebro, University of Örebro, Örebro, Sweden.
Electrical Engineering Department, Amirkabir University of Technology, Theran, Iran.
Electrical Engineering Department, Amirkabir University of Technology, Theran, Iran.
2010 (English)In: 2010 IEEE International Conference on Fuzzy Systems (FUZZ), IEEE conference proceedings, 2010, p. 1-8Conference paper, Published paper (Other academic)
Abstract [en]

In this paper, a new fuzzy logic controller, namely Reinforcement Learning Fuzzy Controller (RLFC), is proposed and implemented. Based on fuzzy logic, this newly proposed online-learning controller is capable of improving its behavior by learning from experiences it gains through interaction with the plant. RLFC is well established for hardware implementation with or without a priori knowledge about the plant. To evidence this claim, a hardware implementation of Ball and Plate system was established, and RLFC was then developed and applied to it. The obtained results are illustrated in this paper.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2010. p. 1-8
National Category
Engineering and Technology
Research subject
Computer Technology
Identifiers
URN: urn:nbn:se:oru:diva-19089DOI: 10.1109/FUZZY.2010.5584025ISI: 000287453601048ISBN: 978-1-4244-6919-2 (print)OAI: oai:DiVA.org:oru-19089DiVA, id: diva2:445217
Conference
2010 IEEE International Conference on Fuzzy Systems (FUZZ), Barcelona, 18-23 July
Available from: 2011-10-03 Created: 2011-09-30 Last updated: 2018-08-27Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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  • nn-NO
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  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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