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Distributed Impulsive Consensus of the Multiagent System without Velocity Measurement
Author(s) -
ZhiWei Liu,
Hong Zhou,
ZhiHong Guan,
Wenshan Hu,
Ding Li,
Wei Wang
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/825307
Subject(s) - laplacian matrix , eigenvalues and eigenvectors , mathematics , consensus , multi agent system , control theory (sociology) , graph , state (computer science) , stability (learning theory) , directed graph , laplace operator , key (lock) , mathematical optimization , control (management) , computer science , algorithm , discrete mathematics , artificial intelligence , mathematical analysis , physics , quantum mechanics , machine learning , computer security
This paper deals with the distributed consensus of the multiagent system. In particular, we consider the case where the velocity (second state) is unmeasurable and the communication among agents occurs at sampling instants. Based on the impulsive control theory, we propose an impulsive consensus algorithm that extends some of our previous work to account for the lack of velocity measurement. By using the stability theory of the impulsive system, some necessary and sufficient conditions are obtained to ensure the consensus of the controlled multiagent system. It is shown that the control gains, the sampled period and the eigenvalues of Laplacian matrix of communication graph play key roles in achieving consensus. Finally, a numerical simulation is provided to illustrate the effectiveness of the proposed algorithm

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