JOURNAL ARTICLE

Second-order consensus for directed multi-agent systems with sampled data

Qian MaShengyuan XuFrank L. Lewis

Year: 2013 Journal:   International Journal of Robust and Nonlinear Control Vol: 24 (16)Pages: 2560-2573   Publisher: Wiley

Abstract

This paper deals with the consensus problem of second-order multi-agent systems with sampled data. Because of the unavailable velocity information, consensus problem is studied only by using the sampled position information. The final consensus states of multi-agent system are given. And a necessary and sufficient consensus condition is provided, which depends on the parameters of sampling interval, eigenvalues of Laplacian matrix, and coupling strengths. Then, the case that both the sampled position and velocity information can be obtained is discussed. On the basis of introducing a time-varying piecewise-continuous delay and proposing a novel time-dependent Lyapunov functional, the sufficient consensus condition is presented, and the upper bound of sampling interval can be estimated. Simulation examples are provided finally to demonstrate the effectiveness of the proposed design methods. Copyright © 2013 John Wiley & Sons, Ltd.

Keywords:
Piecewise Interval (graph theory) Consensus Upper and lower bounds Position (finance) Multi-agent system Eigenvalues and eigenvectors Computer science Laplacian matrix Control theory (sociology) Mathematical optimization Sampling (signal processing) Mathematics Control (management) Theoretical computer science Artificial intelligence Graph

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79
Cited By
9.05
FWCI (Field Weighted Citation Impact)
39
Refs
0.98
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Is in top 1%
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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
Mathematical and Theoretical Epidemiology and Ecology Models
Health Sciences →  Medicine →  Public Health, Environmental and Occupational Health

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