Adaptive output feedback controller of resisting large measurement noises for MIMO nonlinear systems

F. Zhou, Y. Shen and L. Lin

International Journal of Systems Science, 2023, vol. 54, issue 2, 264-282

Abstract: In this paper, we propose an adaptive output feedback control law for MIMO nonlinear systems with distinct unknown measurement errors in each output. The nonlinear terms have incremental rates which include nonlinear functions of output and polynomials of output multiplying unknown constants. By introducing an observer, and two classes of particular dual adaptive high-gains and a class of exclusive constant high-gains, an output feedback controller is developed to stabilise the MIMO nonlinear system. The designed controller is able to tolerate uncertain measurement errors with a relatively wide range. Finally, some simulations are provided to corroborate the theoretical analysis.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2022.2113175 (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:54:y:2023:i:2:p:264-282

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

DOI: 10.1080/00207721.2022.2113175

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 ().