Distributed Adaptive Event-Triggered Fault-Tolerant Consensus of Multiagent Systems With General Linear Dynamics

In this paper, the distributed adaptive event-triggered fault-tolerant consensus of general linear multiagent systems (MASs) is considered. First, in order to deal with multiplicative fault, a distributed event-triggered consensus protocol is designed. Using distributed adaptive online updating stra...

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Veröffentlicht in:IEEE transactions on cybernetics Jg. 49; H. 3; S. 757 - 767
Hauptverfasser: Ye, Dan, Chen, Meng-Meng, Yang, Hai-Jiao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States IEEE 01.03.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Actuator saturation
Actuators
Adaptive systems
Computer simulation
consensus
Eigenvalues
Eigenvalues and eigenfunctions
event-trigger
Fault tolerance
Fault tolerant systems
Laplace equations
Linear systems
Multi-agent systems
Multiagent systems
multiagent systems (MASs)
multiplicative fault
Protocols
Time dependence
Zeno-behavior
ISSN:2168-2267, 2168-2275, 2168-2275
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Zusammenfassung:In this paper, the distributed adaptive event-triggered fault-tolerant consensus of general linear multiagent systems (MASs) is considered. First, in order to deal with multiplicative fault, a distributed event-triggered consensus protocol is designed. Using distributed adaptive online updating strategies, the computation of the minimum eigenvalue of Laplacian matrix is avoided. Second, some adaptive parameters are introduced in trigger function to improve the self-regulation ability of event-triggered mechanism. The new trigger threshold is both state-dependent and time-dependent, which is independent of the number of agents. Then sufficient conditions are derived to guarantee the leaderless and leader-following consensus. On the basis of this, the results are extended to the case of actuator saturation. It is proved the Zeno-behavior of considered event-triggered mechanism is avoided. At last, the effectiveness of the proposed methods are demonstrated by three simulation examples.
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ISSN:2168-2267
2168-2275
2168-2275
DOI:10.1109/TCYB.2017.2782731