Adaptive output feedback control for a class of switched stochastic nonlinear systems via an event-triggered strategy

Manman Yuan, Junyong Zhai and Hui Ye

Applied Mathematics and Computation, 2022, vol. 422, issue C

Abstract: This article addresses the adaptive event-triggered output-feedback control issue for a class of switched stochastic nonlinear systems (SSNSs) under arbitrary switchings. To cope with the unknown growth rate, two dynamic gains are introduced. Different from most existing event-triggered strategies, the developed dynamic event-triggered strategy can be dynamically adjusted, which is delicately designed by exploiting two dynamic gains and a decaying function. Then, a new event-triggered output-feedback controller (ETOFC) is established, which can guarantee that all states of the closed-loop system converge to the origin almost surely (a.s.). Finally, two examples are given to verify the effectiveness of the presented control scheme.

Keywords: Output feedback; Switched stochastic nonlinear systems; Dynamic gain; Event-triggered control (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300322000595
Full text for ScienceDirect subscribers only

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:eee:apmaco:v:422:y:2022:i:c:s0096300322000595

DOI: 10.1016/j.amc.2022.126973

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().