Command Filter-Based Finite-Time Adaptive Fuzzy Control for Uncertain Nonlinear Systems With Prescribed Performance
This article reports our study on the issue of finite-time adaptive fuzzy tracking control for a class of uncertain nonlinear systems with the prescribed performance. A novel finite-time prescribed performance control approach, in which fuzzy systems are employed to approximate completely unknown no...
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| Published in | IEEE transactions on fuzzy systems Vol. 28; no. 12; pp. 3161 - 3170 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.12.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | This article reports our study on the issue of finite-time adaptive fuzzy tracking control for a class of uncertain nonlinear systems with the prescribed performance. A novel finite-time prescribed performance control approach, in which fuzzy systems are employed to approximate completely unknown nonlinear functions, is proposed by incorporating the technique of prescribed performance control with the method of command filtered design. Based on the finite-time stability theory, all the signals of the closed-loop system can be bounded and the output tracking error can converge to a prescribed small region within a finite-time by the proposed scheme; meanwhile, the problem of complexity explosion can be avoided. The effectiveness of the presented method is verified by two examples. |
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| AbstractList | This article reports our study on the issue of finite-time adaptive fuzzy tracking control for a class of uncertain nonlinear systems with the prescribed performance. A novel finite-time prescribed performance control approach, in which fuzzy systems are employed to approximate completely unknown nonlinear functions, is proposed by incorporating the technique of prescribed performance control with the method of command filtered design. Based on the finite-time stability theory, all the signals of the closed-loop system can be bounded and the output tracking error can converge to a prescribed small region within a finite-time by the proposed scheme; meanwhile, the problem of complexity explosion can be avoided. The effectiveness of the presented method is verified by two examples. |
| Author | Sun, Wei Sun, Zong-Yao Wu, Yu-Qiang |
| Author_xml | – sequence: 1 givenname: Wei orcidid: 0000-0002-6873-3302 surname: Sun fullname: Sun, Wei email: sunw8617@163.com organization: School of Mathematics Science, Liaocheng University, Liaocheng, China – sequence: 2 givenname: Yu-Qiang surname: Wu fullname: Wu, Yu-Qiang email: wyq@qfnu.edu.cn organization: Institute of Automation, Qufu Normal University, Qufu, China – sequence: 3 givenname: Zong-Yao orcidid: 0000-0002-2102-9588 surname: Sun fullname: Sun, Zong-Yao email: sunzongyao@sohu.com organization: Institute of Automation, Qufu Normal University, Qufu, China |
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| SubjectTerms | Adaptive control Adaptive filters Adaptive fuzzy control Adaptive systems Backstepping command filter backstepping Convergence Feedback control finite-time control Fuzzy control Fuzzy systems Nonlinear control Nonlinear systems prescribed performance Tracking control Tracking errors Uncertainty |
| Title | Command Filter-Based Finite-Time Adaptive Fuzzy Control for Uncertain Nonlinear Systems With Prescribed Performance |
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