Distributed event-triggered control of multi-agent systems with combinational measurements

This paper studies the distributed rendezvous problem of multi-agent systems with novel event-triggered controllers. We have proposed a combinational measurement approach to event design and developed the basic event-triggered control algorithm. As a result, control of agents is only triggered at th...

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Bibliographic Details
Published in:Automatica (Oxford) Vol. 49; no. 2; pp. 671 - 675
Main Authors: Fan, Yuan, Feng, Gang, Wang, Yong, Song, Cheng
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01.02.2013
Elsevier
Subjects:
Agents (artificial intelligence)
Algorithmics. Computability. Computer arithmetics
Algorithms
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Controllers
Convergence
Design engineering
Event-triggered control
Exact sciences and technology
Expert systems
Hybrid control systems
Multi-agent systems
Software
Strategy
Theoretical computing
Three dimensional
Event-triggered control
Hybrid control systems
Multi-agent systems
Hybrid control
Updating
Iterative method
Fork join problem
Dead beat control
Hybrid system
Reactive system
Multiagent system
Efficiency
Distributed control
Feedforward
Artificial intelligence
Algorithm analysis
Numerical convergence
Discrete event system
ISSN:0005-1098, 1873-2836
Online Access:Get full text
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Summary:This paper studies the distributed rendezvous problem of multi-agent systems with novel event-triggered controllers. We have proposed a combinational measurement approach to event design and developed the basic event-triggered control algorithm. As a result, control of agents is only triggered at their own event time, which reduces the amount of communication and lowers the frequency of controller updates in practice. Furthermore, based on the convergence analysis of the basic algorithm, we have proposed a new iterative event-triggered algorithm where continuous measurement of the neighbor states is avoided. It is noted that the amount of communication among agents has been significantly reduced without obvious negative effects on the control performances. The effectiveness of the proposed strategies is illustrated by numerical examples in 3D spaces.
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ISSN:0005-1098
1873-2836
DOI:10.1016/j.automatica.2012.11.010