Consensus Control of Multi-Agent Systems With Different State Constraints and Event-Triggered Communication

This brief considers the problem of achieving consensus in multi-agent systems subject to different state constraints. To address this issue, we present a new consensus protocol that involves using an event-triggered condition and projection operator to reduce communication burden while ensuring sta...

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Published inIEEE transactions on circuits and systems. II, Express briefs Vol. 71; no. 2; pp. 817 - 821
Main Authors Wang, Gang, Zuo, Zongyu
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Behavioral sciences
Consensus
Consensus control
Consensus protocol
event-triggered control
Liapunov functions
Measurement errors
Multi-agent systems
Multiagent systems
Operators (mathematics)
Radio frequency
state constraints
Topology
Online AccessGet full text
ISSN1549-7747
1558-3791
DOI10.1109/TCSII.2023.3314647

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Abstract This brief considers the problem of achieving consensus in multi-agent systems subject to different state constraints. To address this issue, we present a new consensus protocol that involves using an event-triggered condition and projection operator to reduce communication burden while ensuring state constraint satisfaction. We also introduce an auxiliary state into the Lyapunov function, which enables us to prove that asymptotic consensus can be achieved without Zeno behavior. A key advantage of our method is that it only requires the last neighbor broadcast information and does not necessitate continuous communication or prior knowledge of global network parameters. Finally, we provide simulations to demonstrate and validate our proposed protocols.
AbstractList This brief considers the problem of achieving consensus in multi-agent systems subject to different state constraints. To address this issue, we present a new consensus protocol that involves using an event-triggered condition and projection operator to reduce communication burden while ensuring state constraint satisfaction. We also introduce an auxiliary state into the Lyapunov function, which enables us to prove that asymptotic consensus can be achieved without Zeno behavior. A key advantage of our method is that it only requires the last neighbor broadcast information and does not necessitate continuous communication or prior knowledge of global network parameters. Finally, we provide simulations to demonstrate and validate our proposed protocols.
Author Zuo, Zongyu
Wang, Gang
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Snippet This brief considers the problem of achieving consensus in multi-agent systems subject to different state constraints. To address this issue, we present a new...
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SubjectTerms Behavioral sciences
Consensus
Consensus control
Consensus protocol
event-triggered control
Liapunov functions
Measurement errors
Multi-agent systems
Multiagent systems
Operators (mathematics)
Radio frequency
state constraints
Topology
Title Consensus Control of Multi-Agent Systems With Different State Constraints and Event-Triggered Communication
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Volume 71
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