Adaptive fault-tolerant control for a class of fractional order non-strict feedback nonlinear systems
Ming Wei,
Yuan-Xin Li and
Shaocheng Tong
International Journal of Systems Science, 2021, vol. 52, issue 5, 1014-1025
Abstract:
In this article, an adaptive fuzzy fault-tolerant control problem is investigated for a class of fractional order non-strict feedback nonlinear systems with actuator faults, where the unknown nonlinear functions are approximated by fuzzy logic systems. Within the framework of the backstepping technique we proposed a novel backstepping controller to avoid the algebraic loop problem via the property of fuzzy basis functions. Meanwhile, a compensation term in the form of smoothing functions of conventional control law is utilised to compensate for the effects caused by actuator faults where the number of them is allowed to be infinite. Finally, the fractional Lyapunov stability theory demonstrates that the tracking performance and boundedness of the close-loop systems are achieved in finite time. The simulation results are carried out to validate the effectiveness of the design scheme.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2020.1852627 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:52:y:2021:i:5:p:1014-1025
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20
DOI: 10.1080/00207721.2020.1852627
Access Statistics for this article
International Journal of Systems Science is currently edited by Visakan Kadirkamanathan
More articles in International Journal of Systems Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().