CLC number: TP13
On-line Access: 2017-09-08
Received: 2016-07-16
Revision Accepted: 2016-11-17
Crosschecked: 2017-08-01
Cited: 0
Clicked: 8551
Hao-liang Li, Ren-nong Yang, Qiu-ni Li. Designing a novel consensus protocol for multiagent systems with general dynamics under directed networks[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(8): 1071-1081.
@article{title="Designing a novel consensus protocol for multiagent systems with general dynamics under directed networks",
author="Hao-liang Li, Ren-nong Yang, Qiu-ni Li",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="18",
number="8",
pages="1071-1081",
year="2017",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1601422"
}
%0 Journal Article
%T Designing a novel consensus protocol for multiagent systems with general dynamics under directed networks
%A Hao-liang Li
%A Ren-nong Yang
%A Qiu-ni Li
%J Frontiers of Information Technology & Electronic Engineering
%V 18
%N 8
%P 1071-1081
%@ 2095-9184
%D 2017
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1601422
TY - JOUR
T1 - Designing a novel consensus protocol for multiagent systems with general dynamics under directed networks
A1 - Hao-liang Li
A1 - Ren-nong Yang
A1 - Qiu-ni Li
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 18
IS - 8
SP - 1071
EP - 1081
%@ 2095-9184
Y1 - 2017
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1601422
Abstract: The consensus problem for general linear multi-agent systems (MASs) under directed topology is investigated. First, a novel consensus protocol based on proportional-integral-derivative (PID) control is proposed. Second, the consensus problem is converted into an asymptotic stability problem through transformations. Third, through a state projection method the consensus condition is proved and the explicit expression of the consensus function is given. Then, a Lyapunov function is constructed and the gain matrices of the protocol are given based on the linear matrix inequality. Finally, two experiments are conducted to explain the advantages of the method. Simulation results show the effectiveness of the proposed algorithm.
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