Event-triggered H∞ output consensus of heterogeneous linear multi-agent systems
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
---|---|
Pages (from-to) | 9056-9078 |
Journal / Publication | Journal of the Franklin Institute |
Volume | 359 |
Issue number | 16 |
Online published | 2 Sept 2022 |
Publication status | Published - Nov 2022 |
Link(s)
DOI | DOI |
---|---|
Attachment(s) | Documents
Publisher's Copyright Statement
|
Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85138051126&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(a32b0d65-5046-4bcc-b61c-dac0d561f430).html |
Abstract
This paper addresses the leader-following H∞ output consensus problem of heterogeneous linear multi-agent systems (MASs) under directed graphs. Both state feedback and output feedback based event-triggered control (ETC) protocols are developed. First, to avoid continuous communication between neighboring agents, the open-loop estimation method is used in the proposed ETC protocols. Second, a unified time- and event-triggering mechanism with an explicit minimum inter-event time (MIET) is further developed based on the open-loop estimation method so that Zeno behavior can be excluded. It is shown that under the proposed ETC protocols, the controlled MAS can achieve H∞ output consensus. Finally, two numerical examples are provided to verify effectiveness of the proposed ETC protocols.
Research Area(s)
- Event-triggered control protocol, H∞ output consensus, Heterogeneous, Leader-following, Multi-agent systems
Citation Format(s)
Event-triggered H∞ output consensus of heterogeneous linear multi-agent systems. / Hao, Yahui; Liu, Lu.
In: Journal of the Franklin Institute, Vol. 359, No. 16, 11.2022, p. 9056-9078.
In: Journal of the Franklin Institute, Vol. 359, No. 16, 11.2022, p. 9056-9078.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Download Statistics
No data available