Adaptive Fuzzy Command Filtered Control for Chua’s Chaotic System
Joint Authors
Wang, Lin
Yang, Chunzhi
Wei, Hui
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In this paper, we propose the command filtered adaptive fuzzy backstepping control (AFBC) approach for Chua’s chaotic system with external disturbance.
Based on two proposed first-order command filters, the convergence of tracking errors as well as the problem of “explosion of complexity” in traditional backstepping design procedure is solved.
In the command filtered AFBC design, we do not need to calculate the complicated partial derivatives of the virtual control inputs.
Fuzzy logic systems (FLSs) are used to identify the system uncertainties in real time.
Based on Lyapunov stability criterion, the proposed controller can guarantee that all signals in the closed-loop system keep bounded, and the tracking errors converge to a small region eventually.
Finally, simulation studies have been provided to verify the effectiveness of the proposed method.
American Psychological Association (APA)
Wang, Lin& Wei, Hui& Yang, Chunzhi. 2018. Adaptive Fuzzy Command Filtered Control for Chua’s Chaotic System. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1209746
Modern Language Association (MLA)
Wang, Lin…[et al.]. Adaptive Fuzzy Command Filtered Control for Chua’s Chaotic System. Mathematical Problems in Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1209746
American Medical Association (AMA)
Wang, Lin& Wei, Hui& Yang, Chunzhi. Adaptive Fuzzy Command Filtered Control for Chua’s Chaotic System. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1209746
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209746