JOURNAL ARTICLE

Distributed adaptive fault-tolerant consensus control for multi-agent systems with event-triggered communication

Rui MuAirong WeiHaitao LiZi‐Ming Wang

Year: 2022 Journal:   International Journal of Systems Science Vol: 54 (4)Pages: 880-894   Publisher: Taylor & Francis

Abstract

In this paper, the distributed fault-tolerant consensus control problem is studied for multi-agent systems with event-triggered communication. Unknown time-varying actuator faults including partial loss of effectiveness and bias are taken into consideration. For the sake of fault compensations, a novel distributed event-triggered control law is put forward via the adaptive fault-tolerant technique in the leaderless network. Then, two event-triggered mechanisms are constructed, and a positive $ L_{1} $ L1 function introduced therein is greatly useful for scheduling the information transmission as well as excluding the Zeno behavior. Under the proposed protocol, the consensus errors are proved to converge to zero asymptotically in a scalable and fully distributed way. Furthermore, the results obtained in the leaderless network are extended to the leader-following case. Finally, simulation examples are conducted to confirm the validity of the presented results.

Keywords:
Consensus Fault tolerance Distributed computing Computer science Control theory (sociology) Actuator Scheduling (production processes) Scalability Transmission (telecommunications) Event (particle physics) Multi-agent system Control (management) Engineering Artificial intelligence

Metrics

6
Cited By
1.29
FWCI (Field Weighted Citation Impact)
34
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
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