Adaptive Event-Triggered Consensus of Multiagent Systems on Directed Graphs
(2021) In IEEE Transactions on Automatic Control 66(4). p.1670-1685- Abstract
This article systematically studies consensus of linear multiagent systems (MASs) on directed graphs through adaptive event-triggered control. It presents innovative adaptive event-triggered state-feedback protocols with novel composite event-triggering conditions. Two specific designs in terms of different event-triggering conditions and laws of adaption are first discussed for linear MASs on strongly connected directed graphs, which are then extended to general directed graphs that contain a spanning tree. Moreover, another adaptive event-triggered protocol is proposed for solving leader-follower consensus that tracks a leader of a bounded control input. The protocols inherit the merits of both adaptive control and event-triggered... (More)
This article systematically studies consensus of linear multiagent systems (MASs) on directed graphs through adaptive event-triggered control. It presents innovative adaptive event-triggered state-feedback protocols with novel composite event-triggering conditions. Two specific designs in terms of different event-triggering conditions and laws of adaption are first discussed for linear MASs on strongly connected directed graphs, which are then extended to general directed graphs that contain a spanning tree. Moreover, another adaptive event-triggered protocol is proposed for solving leader-follower consensus that tracks a leader of a bounded control input. The protocols inherit the merits of both adaptive control and event-triggered control: the protocols can be implemented in a fully distributed way, since the Laplacian is avoided in design, and each agent only needs to know the relative information between neighbors at discrete instants determined by event-triggering conditions. Compared with the existing related results, the proposed protocols are applicable for linear MASs on general directed graphs, and moreover, the time-dependent term in the event-triggering conditions is allowed to be a class of positive L1 functions. Two numerical examples clearly verify the effectiveness of the proposed protocols.
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- author
- Li, Xianwei ; Sun, Zhiyong LU ; Tang, Yang and Karimi, Hamid Reza
- organization
- publishing date
- 2021
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Adaptive control, consensus, directed graphs, event-triggering control, multiagent systems (MASs)
- in
- IEEE Transactions on Automatic Control
- volume
- 66
- issue
- 4
- article number
- 9112274
- pages
- 16 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85103447169
- ISSN
- 0018-9286
- DOI
- 10.1109/TAC.2020.3000819
- language
- English
- LU publication?
- yes
- id
- 0973d92f-afc7-422c-940b-87cae2f2d95d
- date added to LUP
- 2021-04-12 09:42:48
- date last changed
- 2022-04-27 01:25:33
@article{0973d92f-afc7-422c-940b-87cae2f2d95d,
abstract = {{<p>This article systematically studies consensus of linear multiagent systems (MASs) on directed graphs through adaptive event-triggered control. It presents innovative adaptive event-triggered state-feedback protocols with novel composite event-triggering conditions. Two specific designs in terms of different event-triggering conditions and laws of adaption are first discussed for linear MASs on strongly connected directed graphs, which are then extended to general directed graphs that contain a spanning tree. Moreover, another adaptive event-triggered protocol is proposed for solving leader-follower consensus that tracks a leader of a bounded control input. The protocols inherit the merits of both adaptive control and event-triggered control: the protocols can be implemented in a fully distributed way, since the Laplacian is avoided in design, and each agent only needs to know the relative information between neighbors at discrete instants determined by event-triggering conditions. Compared with the existing related results, the proposed protocols are applicable for linear MASs on general directed graphs, and moreover, the time-dependent term in the event-triggering conditions is allowed to be a class of positive L1 functions. Two numerical examples clearly verify the effectiveness of the proposed protocols. </p>}},
author = {{Li, Xianwei and Sun, Zhiyong and Tang, Yang and Karimi, Hamid Reza}},
issn = {{0018-9286}},
keywords = {{Adaptive control; consensus; directed graphs; event-triggering control; multiagent systems (MASs)}},
language = {{eng}},
number = {{4}},
pages = {{1670--1685}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Automatic Control}},
title = {{Adaptive Event-Triggered Consensus of Multiagent Systems on Directed Graphs}},
url = {{http://dx.doi.org/10.1109/TAC.2020.3000819}},
doi = {{10.1109/TAC.2020.3000819}},
volume = {{66}},
year = {{2021}},
}