Distributed dynamic event-triggered algorithm with minimum inter-event time for multi-agent convex optimisation

In this paper, the distributed convex optimisation problem of the multi-agent system over an undirected network is investigated, in which the local objective function of each agent is only known by itself. To reduce the communication consumption between agents, a state-based dynamic event-triggered...

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Vydáno v:International journal of systems science Ročník 52; číslo 7; s. 1440 - 1451
Hlavní autoři: Shi, Xiasheng, Lin, Zhiyun, Yang, Tao, Wang, Xuesong
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Taylor & Francis 19.05.2021
Taylor & Francis Ltd
Témata:
Algorithms
Distributed convex optimisation
event-triggered
minimum inter-event time
Multiagent systems
Optimization
Sampling
sampling control
ISSN:0020-7721, 1464-5319
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Shrnutí:In this paper, the distributed convex optimisation problem of the multi-agent system over an undirected network is investigated, in which the local objective function of each agent is only known by itself. To reduce the communication consumption between agents, a state-based dynamic event-triggered algorithm with positive minimum inter-event time (MIET) is provided, where the aperiodic information communication only occurs at some discrete triggering time instants. Moreover, the sampling control technology is combined into the previous event-triggered algorithm for verifying the event-triggered condition at every sampling time, instead of continuous access. Finally, several numerical simulations are presented for illustrating and verifying the proposed algorithms.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0020-7721
1464-5319
DOI:10.1080/00207721.2020.1858364