Event-Triggered Consensus Control of Nonlinear Strict Feedback Multi-Agent Systems

Jiaojiao Zhuang, Zhenxing Li, Zongxiang Hou and Chengdong Yang
Additional contact information
Jiaojiao Zhuang: School of Mechanical and Vehicle Engineering, Linyi University, Linyi 276000, China
Zhenxing Li: Department of Automation, Linyi University, Linyi 276000, China
Zongxiang Hou: Computing Department, University Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia
Chengdong Yang: School of Information Science and Engineering, Linyi University, Linyi 276000, China

Mathematics, 2022, vol. 10, issue 9, 1-16

Abstract: In this paper, we investigate the event-triggered consensus problems of nonlinear strict feedback MASs under directed graph. Based on the high-gain control technique, we firstly give a state-based event-triggered consensus algorithm and prove that Zeno behavior can be excluded. When the full state information is unavailable, a high-gain observer is given to estimate state information of each agent and an observer-based algorithm is developed. Finally, we give an example to verify the effectiveness of both state-based and observer-based event-triggered consensus algorithms.

Keywords: multi-agent systems; consensus control; event-triggered control; strict feedback systems; directed graph (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/9/1596/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/9/1596/ (text/html)

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:gam:jmathe:v:10:y:2022:i:9:p:1596-:d:810919

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().