Non-fragile practical prescribed-time output feedback stabilization for nonlinear systems with unknown measurement noise

Zebin Wu and Yanjun Shen

International Journal of Systems Science, 2025, vol. 56, issue 12, 3025-3040

Abstract: This paper addresses the problem of non-fragile prescribed-time output feedback stabilization for a class of nonlinear systems with unknown measurement noise. Two Lyapunov matrix inequalities with uncertainties are introduced to mitigate disturbances in controller gains and noise in the measurement sensor. A novel high-gain function with a segmented adaptive law is proposed to ensure prescribed-time stability. Based on this, a non-fragile output feedback controller is designed to ensure that all signals in the closed-loop system remain bounded within a prescribed time and asymptotically converge at the origin. Finally, two simulation examples are provided to validate the effectiveness of the proposed control strategy.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2025.2467842 (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:12:p:3025-3040

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

DOI: 10.1080/00207721.2025.2467842

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 ().