Adaptive Prescribed-Time Control for a Class of Uncertain Nonlinear Systems
This article focuses on the problem of prescribed-time control for a class of uncertain nonlinear systems. First, a prescribed-time stability theorem is proposed by following the adaptive technology for the first time. Based on this theorem, a new state feedback control strategy is put forward by us...
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Published in | IEEE transactions on automatic control Vol. 67; no. 11; pp. 6159 - 6166 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.11.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
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Abstract | This article focuses on the problem of prescribed-time control for a class of uncertain nonlinear systems. First, a prescribed-time stability theorem is proposed by following the adaptive technology for the first time. Based on this theorem, a new state feedback control strategy is put forward by using the backstepping method for high-order nonlinear systems with unknown parameters to ensure the prescribed-time convergence. Moreover, the prescribed-time controller is obtained in the form of continuous time-varying feedback, which can render all system states converge to zero within the prescribed time. It should be noted that the prescribed time is independent of system initial conditions, which means that the prescribed time can be set arbitrarily within the physical limitations. Finally, two simulation examples are provided to illustrate the effectiveness of our proposed algorithm. |
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AbstractList | This article focuses on the problem of prescribed-time control for a class of uncertain nonlinear systems. First, a prescribed-time stability theorem is proposed by following the adaptive technology for the first time. Based on this theorem, a new state feedback control strategy is put forward by using the backstepping method for high-order nonlinear systems with unknown parameters to ensure the prescribed-time convergence. Moreover, the prescribed-time controller is obtained in the form of continuous time-varying feedback, which can render all system states converge to zero within the prescribed time. It should be noted that the prescribed time is independent of system initial conditions, which means that the prescribed time can be set arbitrarily within the physical limitations. Finally, two simulation examples are provided to illustrate the effectiveness of our proposed algorithm. |
Author | Hua, Changchun Li, Kuo Ning, Pengju |
Author_xml | – sequence: 1 givenname: Changchun orcidid: 0000-0001-6311-2112 surname: Hua fullname: Hua, Changchun email: cch@ysu.edu.cn organization: Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China – sequence: 2 givenname: Pengju orcidid: 0000-0002-7802-4892 surname: Ning fullname: Ning, Pengju email: pjn-best@foxmail.com organization: Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China – sequence: 3 givenname: Kuo orcidid: 0000-0002-9049-5558 surname: Li fullname: Li, Kuo email: good-will@foxmail.com organization: Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China |
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SubjectTerms | Adaptive control Algorithms Backstepping backstepping method Convergence Feedback control Initial conditions Nonlinear systems prescribed-time stability State feedback Theorems Time-varying systems Trajectory uncertain nonlinear system Upper bound |
Title | Adaptive Prescribed-Time Control for a Class of Uncertain Nonlinear Systems |
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