Stochastic admissibility and H∞ output feedback control for singular Markov jump systems under dynamic measurement output event-triggered strategy
Meng Sun,
Guangming Zhuang,
Jianwei Xia,
Yanqian Wang and
Guoliang Chen
Chaos, Solitons & Fractals, 2022, vol. 164, issue C
Abstract:
This paper investigates the stochastic admissibility and H∞ dynamic output feedback control for singular Markov jump systems under dynamic measurement output event-triggered strategy. By applying singular value decomposition technique and constructing novel Lyapunov–Krasovskii functional based on dynamic measurement output event-triggering mechanism, improved conditions are realized such that the singular Markov jump closed-loop system satisfies stochastic admissibility and H∞ performance index. Moreover, dynamic output feedback controller gains are obtained via linear matrix inequality technique. Finally, the serviceability of proposed methods is demonstrated by direct current motor driven load and a numerical example.
Keywords: Event-triggered control; Markov jump systems; Singular systems; Dynamic output feedback control; Stochastic admissibility (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/S0960077922008165
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:chsofr:v:164:y:2022:i:c:s0960077922008165
DOI: 10.1016/j.chaos.2022.112635
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().