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Adaptive Fuzzy Fast Finite-Time Tracking Control for Nonlinear Systems in Pure-Feedback Form with Unknown Disturbance
Joint Authors
Liu, Xiaoping
Xu, Ke
Chen, Ming
Wang, Huanqing
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-25
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In this paper, based on the fast finite-time stability theorem, an adaptive fuzzy control problem is considered for a class of nonlinear systems in pure-feedback form with unknown disturbance.
In the controller design process, the mean value theorem is applied to address the nonaffine structure of the pure-feedback plant, the universal approximation capability of the fuzzy logic system (FLS) is utilized to compensate the unknown uncertainties, and the adaptive backstepping technique is used to design the controller model.
Combined with the selection of the appropriate Lyapunov function at each step, a fuzzy-based adaptive tracking control scheme is proposed, which ensures that all signals in the closed-loop system are bounded and tracking error converges to a small neighborhood of the origin in fast finite-time.
Finally, simulation results illustrate the validity of the proposed approach.
American Psychological Association (APA)
Xu, Ke& Wang, Huanqing& Liu, Xiaoping& Chen, Ming. 2020. Adaptive Fuzzy Fast Finite-Time Tracking Control for Nonlinear Systems in Pure-Feedback Form with Unknown Disturbance. Complexity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1142865
Modern Language Association (MLA)
Xu, Ke…[et al.]. Adaptive Fuzzy Fast Finite-Time Tracking Control for Nonlinear Systems in Pure-Feedback Form with Unknown Disturbance. Complexity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1142865
American Medical Association (AMA)
Xu, Ke& Wang, Huanqing& Liu, Xiaoping& Chen, Ming. Adaptive Fuzzy Fast Finite-Time Tracking Control for Nonlinear Systems in Pure-Feedback Form with Unknown Disturbance. Complexity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1142865
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142865