A distributed event-triggered transmission strategy for sampled-data consensus of multi-agent systems

This paper is concerned with event-triggered sampled-data consensus for distributed multi-agent systems with directed graph. A novel distributed event-triggered sampled-data transmission strategy is proposed, which allows the event-triggering condition to be intermittently examined at constant sampl...

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Bibliographic Details
Published in:Automatica (Oxford) Vol. 50; no. 5; pp. 1489 - 1496
Main Authors: Guo, Ge, Ding, Lei, Han, Qing-Long
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01.05.2014
Elsevier
Subjects:
Adaptative systems
Agents (artificial intelligence)
Algorithmics. Computability. Computer arithmetics
Applied sciences
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Control theory. Systems
Delay
Detection, estimation, filtering, equalization, prediction
Event-triggered control
Exact sciences and technology
Expert systems
Gain
Graph theory
Information, signal and communications theory
Mathematical models
Multi-agent systems
Sampled-data consensus
Sampling
Signal and communications theory
Signal, noise
Software
Stability
Strategy
Telecommunications and information theory
Theoretical computing
Sampled-data consensus
Stability
Event-triggered control
Multi-agent systems
Sampled system
Event management
Codesign
Data transmission
Delay system
Distributed system
Dead beat control
Consensus
Digital control
Time varying system
Reactive system
Multiagent system
Sampling theory
Digraph
Sampling
Triggering
Distributed parameter system
Directed graph
Discrete event system
ISSN:0005-1098, 1873-2836
Online Access:Get full text
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Description
Summary:This paper is concerned with event-triggered sampled-data consensus for distributed multi-agent systems with directed graph. A novel distributed event-triggered sampled-data transmission strategy is proposed, which allows the event-triggering condition to be intermittently examined at constant sampling instants. Based on this novel strategy, a sampled-data consensus control protocol is presented, with which the consensus of distributed multi-agent systems can be transformed into the stability of a system with a time-varying delay. Then, a sufficient condition on the consensus of the multi-agent system is derived. Correspondingly, a co-design algorithm for obtaining both the parameters of the distributed event-triggered transmission strategy and the consensus controller gain is proposed. Two numerical examples are given to show the effectiveness of the proposed method.
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ISSN:0005-1098
1873-2836
DOI:10.1016/j.automatica.2014.03.017