Adaptive Fuzzy Finite-Time Control of Nonlinear Systems With Actuator Faults
This paper addresses the trajectory tracking control problem of a class of nonstrict-feedback nonlinear systems with the actuator faults. The functional relationship in the affine form between the nonlinear functions with whole state and error variables is established by using the structure consiste...
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Published in | IEEE transactions on cybernetics Vol. 50; no. 5; pp. 1786 - 1797 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
IEEE
01.05.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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Abstract | This paper addresses the trajectory tracking control problem of a class of nonstrict-feedback nonlinear systems with the actuator faults. The functional relationship in the affine form between the nonlinear functions with whole state and error variables is established by using the structure consistency of intermediate control signals and the variable-partition technique. The fuzzy control and adaptive backstepping schemes are applied to construct an improved fault-tolerant controller without requiring the specific knowledge of control gains and actuator faults, including both stuck constant value and loss of effectiveness. The proposed fault-tolerant controller ensures that all signals in the closed-loop system are semiglobally practically finite-time stable and the tracking error remains in a small neighborhood of the origin after a finite period of time. The developed control method is verified through two numerical examples. |
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AbstractList | This paper addresses the trajectory tracking control problem of a class of nonstrict-feedback nonlinear systems with the actuator faults. The functional relationship in the affine form between the nonlinear functions with whole state and error variables is established by using the structure consistency of intermediate control signals and the variable-partition technique. The fuzzy control and adaptive backstepping schemes are applied to construct an improved fault-tolerant controller without requiring the specific knowledge of control gains and actuator faults, including both stuck constant value and loss of effectiveness. The proposed fault-tolerant controller ensures that all signals in the closed-loop system are semiglobally practically finite-time stable and the tracking error remains in a small neighborhood of the origin after a finite period of time. The developed control method is verified through two numerical examples. This paper addresses the trajectory tracking control problem of a class of nonstrict-feedback nonlinear systems with the actuator faults. The functional relationship in the affine form between the nonlinear functions with whole state and error variables is established by using the structure consistency of intermediate control signals and the variable-partition technique. The fuzzy control and adaptive backstepping schemes are applied to construct an improved fault-tolerant controller without requiring the specific knowledge of control gains and actuator faults, including both stuck constant value and loss of effectiveness. The proposed fault-tolerant controller ensures that all signals in the closed-loop system are semiglobally practically finite-time stable and the tracking error remains in a small neighborhood of the origin after a finite period of time. The developed control method is verified through two numerical examples.This paper addresses the trajectory tracking control problem of a class of nonstrict-feedback nonlinear systems with the actuator faults. The functional relationship in the affine form between the nonlinear functions with whole state and error variables is established by using the structure consistency of intermediate control signals and the variable-partition technique. The fuzzy control and adaptive backstepping schemes are applied to construct an improved fault-tolerant controller without requiring the specific knowledge of control gains and actuator faults, including both stuck constant value and loss of effectiveness. The proposed fault-tolerant controller ensures that all signals in the closed-loop system are semiglobally practically finite-time stable and the tracking error remains in a small neighborhood of the origin after a finite period of time. The developed control method is verified through two numerical examples. |
Author | Wang, Huanqing Zhao, Xudong Liu, Peter Xiaoping Liu, Xiaoping |
Author_xml | – sequence: 1 givenname: Huanqing orcidid: 0000-0001-5712-9356 surname: Wang fullname: Wang, Huanqing email: ndwhq@163.com organization: School of Mathematics and Physics, Bohai University, Jinzhou, China – sequence: 2 givenname: Peter Xiaoping surname: Liu fullname: Liu, Peter Xiaoping email: xpliu@sce.carleton.ca organization: Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada – sequence: 3 givenname: Xudong orcidid: 0000-0002-1864-4686 surname: Zhao fullname: Zhao, Xudong email: xdzhaohit@gmail.com organization: Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China – sequence: 4 givenname: Xiaoping orcidid: 0000-0003-1808-4233 surname: Liu fullname: Liu, Xiaoping email: xliu2@lakeheadu.ca organization: Faculty of Engineering, Lakehead University, Thunder Bay, Canada |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31071058$$D View this record in MEDLINE/PubMed |
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Snippet | This paper addresses the trajectory tracking control problem of a class of nonstrict-feedback nonlinear systems with the actuator faults. The functional... |
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SubjectTerms | Actuator faults Actuators Adaptive control adaptive fuzzy control Adaptive systems Backstepping Controllers Fault tolerance Fault tolerant systems Faults Feedback control Functionals Fuzzy control Fuzzy systems Nonlinear control Nonlinear systems Tracking control Tracking errors Trajectory control |
Title | Adaptive Fuzzy Finite-Time Control of Nonlinear Systems With Actuator Faults |
URI | https://ieeexplore.ieee.org/document/8709959 https://www.ncbi.nlm.nih.gov/pubmed/31071058 https://www.proquest.com/docview/2391257564 https://www.proquest.com/docview/2231932587 |
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