Quantized Static Output Feedback Fuzzy Tracking Control for Discrete-Time Nonlinear Networked Systems With Asynchronous Event-Triggered Constraints
In this article, the <inline-formula> <tex-math notation="LaTeX">\mathcal {H}_{\infty } </tex-math></inline-formula> static output feedback tracking control problem is studied for discrete-time nonlinear networked systems subject to quantization effects and asynchro...
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| Published in | IEEE transactions on systems, man, and cybernetics. Systems Vol. 51; no. 6; pp. 3820 - 3831 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.06.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | In this article, the <inline-formula> <tex-math notation="LaTeX">\mathcal {H}_{\infty } </tex-math></inline-formula> static output feedback tracking control problem is studied for discrete-time nonlinear networked systems subject to quantization effects and asynchronous event-triggered constraints. The Takagi-Sugeno (T-S) fuzzy model is utilized to represent the investigated nonlinear networked systems. A novel asynchronous event-triggered strategy is given to reduce the network communication burdens in both communication channels from the plant to the controller and from the reference model to the controller. The objective of this article is to design a quantized event-triggered tracking controller such that the resulting system is asymptotically stable and the given <inline-formula> <tex-math notation="LaTeX">\mathcal {H}_{\infty } </tex-math></inline-formula> tracking performance is guaranteed. The sufficient design conditions for the tracking controller are formulated in the form of the linear matrix inequalities (LMIs). Furthermore, a simulation example will be utilized to show the effectiveness of the developed design strategy. |
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| AbstractList | In this article, the <inline-formula> <tex-math notation="LaTeX">\mathcal {H}_{\infty } </tex-math></inline-formula> static output feedback tracking control problem is studied for discrete-time nonlinear networked systems subject to quantization effects and asynchronous event-triggered constraints. The Takagi-Sugeno (T-S) fuzzy model is utilized to represent the investigated nonlinear networked systems. A novel asynchronous event-triggered strategy is given to reduce the network communication burdens in both communication channels from the plant to the controller and from the reference model to the controller. The objective of this article is to design a quantized event-triggered tracking controller such that the resulting system is asymptotically stable and the given <inline-formula> <tex-math notation="LaTeX">\mathcal {H}_{\infty } </tex-math></inline-formula> tracking performance is guaranteed. The sufficient design conditions for the tracking controller are formulated in the form of the linear matrix inequalities (LMIs). Furthermore, a simulation example will be utilized to show the effectiveness of the developed design strategy. In this article, the [Formula Omitted] static output feedback tracking control problem is studied for discrete-time nonlinear networked systems subject to quantization effects and asynchronous event-triggered constraints. The Takagi–Sugeno (T–S) fuzzy model is utilized to represent the investigated nonlinear networked systems. A novel asynchronous event-triggered strategy is given to reduce the network communication burdens in both communication channels from the plant to the controller and from the reference model to the controller. The objective of this article is to design a quantized event-triggered tracking controller such that the resulting system is asymptotically stable and the given [Formula Omitted] tracking performance is guaranteed. The sufficient design conditions for the tracking controller are formulated in the form of the linear matrix inequalities (LMIs). Furthermore, a simulation example will be utilized to show the effectiveness of the developed design strategy. |
| Author | Li, Zhi-Min Park, Ju H. Chang, Xiao-Heng |
| Author_xml | – sequence: 1 givenname: Zhi-Min orcidid: 0000-0001-5407-1662 surname: Li fullname: Li, Zhi-Min email: bhulizhimin@sina.com organization: School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China – sequence: 2 givenname: Xiao-Heng orcidid: 0000-0002-6197-1623 surname: Chang fullname: Chang, Xiao-Heng email: changxiaoheng@sina.com organization: School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China – sequence: 3 givenname: Ju H. orcidid: 0000-0002-0218-2333 surname: Park fullname: Park, Ju H. email: jessie@ynu.ac.kr organization: School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China |
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| SubjectTerms | Asynchronous event-triggered strategy Communication channels Communication networks Control systems Controllers Discrete time systems Fuzzy control Linear matrix inequalities Mathematical analysis Nonlinear control nonlinear networked systems Nonlinear systems Output feedback quantization Quantization (signal) State feedback Takagi–Sugeno (T–S) fuzzy model Tracking control |
| Title | Quantized Static Output Feedback Fuzzy Tracking Control for Discrete-Time Nonlinear Networked Systems With Asynchronous Event-Triggered Constraints |
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