Adaptive Finite-time Tracking Control of Nonlinear Systems with Dynamics Uncertainties
In this paper, the problem of adaptive backstepping finite-time tracking control is investigated for a class of strict-feedback nonlinear systems with unmodeled dynamics and dynamic disturbances. A modified finite-time dynamic signal is first introduced to dominate the dynamic disturbance. By using...
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Published in | IEEE transactions on automatic control Vol. 68; no. 9; pp. 1 - 8 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.09.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
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Abstract | In this paper, the problem of adaptive backstepping finite-time tracking control is investigated for a class of strict-feedback nonlinear systems with unmodeled dynamics and dynamic disturbances. A modified finite-time dynamic signal is first introduced to dominate the dynamic disturbance. By using the adaptive control, backstepping technique, and finite-time stability theory, an adaptive finite-time tracking controller is developed. Under the proposed control scheme, the finite-time tracking performance and the boundedness property of all signals in the closed-loop system are ensured. Finally, simulation results check the effectiveness of the suggested approach. |
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AbstractList | In this paper, the problem of adaptive backstepping finite-time tracking control is investigated for a class of strict-feedback nonlinear systems with unmodeled dynamics and dynamic disturbances. A modified finite-time dynamic signal is first introduced to dominate the dynamic disturbance. By using the adaptive control, backstepping technique, and finite-time stability theory, an adaptive finite-time tracking controller is developed. Under the proposed control scheme, the finite-time tracking performance and the boundedness property of all signals in the closed-loop system are ensured. Finally, simulation results check the effectiveness of the suggested approach. In this article, the problem of adaptive backstepping finite-time tracking control is investigated for a class of strict-feedback nonlinear systems with unmodeled dynamics and dynamic disturbances. A modified finite-time dynamic signal is first introduced to dominate the dynamic disturbance. By using the adaptive control, backstepping technique, and finite-time stability theory, an adaptive finite-time tracking controller is developed. Under the proposed control scheme, the finite-time tracking performance and the boundedness property of all signals in the closed-loop system are ensured. Finally, simulation results check the effectiveness of the suggested approach. |
Author | Wang, Huanqing Xu, Ke Zhang, Huaguang |
Author_xml | – sequence: 1 givenname: Huanqing orcidid: 0000-0001-5712-9356 surname: Wang fullname: Wang, Huanqing organization: College of Mathematical Sciences, Bohai University, Jinzhou, China – sequence: 2 givenname: Ke orcidid: 0000-0002-2191-0332 surname: Xu fullname: Xu, Ke organization: College of Mathematical Sciences, Bohai University, Jinzhou, China – sequence: 3 givenname: Huaguang orcidid: 0000-0002-2375-9824 surname: Zhang fullname: Zhang, Huaguang organization: State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China |
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Snippet | In this paper, the problem of adaptive backstepping finite-time tracking control is investigated for a class of strict-feedback nonlinear systems with... In this article, the problem of adaptive backstepping finite-time tracking control is investigated for a class of strict-feedback nonlinear systems with... |
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SubjectTerms | Adaptive control Adaptive systems Backstepping backstepping technique Closed loops Control systems Dynamic stability Dynamical systems dynamics uncertainties Feedback control finite-time control Nonlinear control Nonlinear dynamical systems Nonlinear dynamics Nonlinear systems Process control Stability criteria Tracking control tuning functions Uncertainty |
Title | Adaptive Finite-time Tracking Control of Nonlinear Systems with Dynamics Uncertainties |
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