A control scheme for interval type‐2 T‐S fuzzy systems at constrained bit rates: A coding and decoding scheme
Summary This study focuses on a class of interval type‐2 T‐S fuzzy systems under bit rate constraint(BRC), which can adapt to complex systems more flexibly than the traditional interval type‐1 T‐S fuzzy model. In order to guarantee the security of data transmission, and considering that the channel...
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| Vydáno v: | Asian journal of control Ročník 26; číslo 3; s. 1591 - 1601 |
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| Jazyk: | angličtina |
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Hoboken
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01.05.2024
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| ISSN: | 1561-8625, 1934-6093 |
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| Abstract | Summary
This study focuses on a class of interval type‐2 T‐S fuzzy systems under bit rate constraint(BRC), which can adapt to complex systems more flexibly than the traditional interval type‐1 T‐S fuzzy model. In order to guarantee the security of data transmission, and considering that the channel is affected by the bit rate during transmission, this study introduces a codec scheme in the interval type‐2 T‐S fuzzy system and applies it to the channel from the sensor to the controller. With the support of the codec scheme, this study explores the sufficient conditions to satisfy the data recoverability, and based on the satisfaction of these conditions, the system is proposed to satisfy the sufficient conditions for input‐to‐state stability (ISS) and the controller gain. Through the in‐depth analysis in this paper, this study proposes a control scheme that can fit complex systems more accurately and also confirms the importance of considering bit rate constraints in communication systems. Finally, the paper is validated by simulation with two specific examples, which fully demonstrate the superiority and effectiveness of the proposed control scheme. |
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| AbstractList | This study focuses on a class of interval type‐2 T‐S fuzzy systems under bit rate constraint(BRC), which can adapt to complex systems more flexibly than the traditional interval type‐1 T‐S fuzzy model. In order to guarantee the security of data transmission, and considering that the channel is affected by the bit rate during transmission, this study introduces a codec scheme in the interval type‐2 T‐S fuzzy system and applies it to the channel from the sensor to the controller. With the support of the codec scheme, this study explores the sufficient conditions to satisfy the data recoverability, and based on the satisfaction of these conditions, the system is proposed to satisfy the sufficient conditions for input‐to‐state stability (ISS) and the controller gain. Through the in‐depth analysis in this paper, this study proposes a control scheme that can fit complex systems more accurately and also confirms the importance of considering bit rate constraints in communication systems. Finally, the paper is validated by simulation with two specific examples, which fully demonstrate the superiority and effectiveness of the proposed control scheme. Summary This study focuses on a class of interval type‐2 T‐S fuzzy systems under bit rate constraint(BRC), which can adapt to complex systems more flexibly than the traditional interval type‐1 T‐S fuzzy model. In order to guarantee the security of data transmission, and considering that the channel is affected by the bit rate during transmission, this study introduces a codec scheme in the interval type‐2 T‐S fuzzy system and applies it to the channel from the sensor to the controller. With the support of the codec scheme, this study explores the sufficient conditions to satisfy the data recoverability, and based on the satisfaction of these conditions, the system is proposed to satisfy the sufficient conditions for input‐to‐state stability (ISS) and the controller gain. Through the in‐depth analysis in this paper, this study proposes a control scheme that can fit complex systems more accurately and also confirms the importance of considering bit rate constraints in communication systems. Finally, the paper is validated by simulation with two specific examples, which fully demonstrate the superiority and effectiveness of the proposed control scheme. |
| Author | Zhang, Sunjie Yu, Ying Yan, Tingli |
| Author_xml | – sequence: 1 givenname: Tingli orcidid: 0009-0004-9062-8180 surname: Yan fullname: Yan, Tingli email: tingliyan@126.com organization: University of Shanghai for Science and Technology – sequence: 2 givenname: Sunjie surname: Zhang fullname: Zhang, Sunjie email: zhang_sunjie@usst.edu.cn organization: University of Shanghai for Science and Technology – sequence: 3 givenname: Ying surname: Yu fullname: Yu, Ying organization: University of Shanghai for Science and Technology |
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| Cites_doi | 10.1109/GLOCOM.2009.5426254 10.1109/TCYB.2017.2740309 10.1109/TFUZZ.2013.2249587 10.1109/TAC.2011.2164017 10.1109/TSMCB.2008.915530 10.1016/j.jfranklin.2023.03.007 10.1109/TAC.2017.2757602 10.1109/TIE.2021.3090708 10.1109/TCYB.2018.2863664 10.1109/TAC.2010.2068590 10.1109/TFUZZ.2006.876331 10.1109/TAC.2012.2199152 10.1109/TAC.2016.2618000 10.1049/cth2.12359 10.1109/TSMC.1973.5408575 10.1109/TSP.2017.2686375 10.1109/TCYB.2020.3036364 10.1080/00207721.2021.1998722 10.23919/ACC.2019.8814662 10.1109/TCYB.2022.3165041 10.1016/S0019-9958(65)90241-X 10.1109/TFUZZ.2003.817840 10.1109/TII.2012.2219540 10.1016/j.automatica.2013.04.044 10.1016/j.fss.2007.06.016 10.1109/TFUZZ.2003.819834 10.1016/S0019-9958(68)90211-8 10.1109/TSMC.2020.3010825 10.1109/TSMC.1985.6313399 |
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This study focuses on a class of interval type‐2 T‐S fuzzy systems under bit rate constraint(BRC), which can adapt to complex systems more flexibly... This study focuses on a class of interval type‐2 T‐S fuzzy systems under bit rate constraint(BRC), which can adapt to complex systems more flexibly than the... |
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| SubjectTerms | bit rate constraint Codec coding and decoding mechanism Communications systems Complex systems Constraints Controllers Data transmission Decoding Fuzzy systems IT2 T‐S fuzzy control orthogonal decomposition technique Recoverability |
| Title | A control scheme for interval type‐2 T‐S fuzzy systems at constrained bit rates: A coding and decoding scheme |
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