Observer-based adaptive fuzzy quantized fault-tolerant control of nonstrict-feedback nonlinear systems with actuator and sensor faults

Ming-Rui Liu, Li-Bing Wu and Wen-Di Ci

International Journal of Systems Science, 2025, vol. 56, issue 5, 935-952

Abstract: This article emphasises the adaptive quantised fault-tolerant output feedback control problem for one type of nonstrict-feedback nonlinear systems suffering from input and output quantisation as well as actuator and sensor faults. By introducing a bounded time-varying function (BTVF), a generalised intermediate-variable estimator (IVE) is designed to estimate actuator bias fault. For the scaling measurement sensor fault, by applying a projection operator containing the measured output quantised signal, a novel gain-compensated state observer is constructed. In addition, relying on fuzzy logic system (FLS) and intelligent adaptive algorithm, a fuzzy fault-tolerant controller is devised to handle dual faults and quantisation. After theoretical proof, the presented control framework can realise that the closed-loop system is semi-globally uniform ultimately bounded (SGUUB), while the tracking error is within an adjustable area. Lastly, the validity and superiority of the suggested scheme is confirmed by a relevant simulation example.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2024.2410464 (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:56:y:2025:i:5:p:935-952

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20

DOI: 10.1080/00207721.2024.2410464

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 ().