Consensus Control of General Linear Multiagent Systems With Antagonistic Interactions and Communication Noises

This technical note considers a consensus problem of high-order multiagent systems with antagonistic interactions and communication noises. The interaction network associated with the multiagent system is modeled by a signed graph (called coopetition network) and the agent dynamics is described by a...

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Bibliographic Details
Published inIEEE transactions on automatic control Vol. 64; no. 5; pp. 2122 - 2127
Main Authors Hu, Jiangping, Wu, Yanzhi, Li, Tao, Ghosh, Bijoy K.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Communication noise
Communications systems
Computer simulation
Convergence
coopetition network
Decentralized control
Eigenvalues and eigenfunctions
Error analysis
Laplace equations
linear multiagent systems
Linear systems
mean square bipartite consensus
Multi-agent systems
Multiagent systems
Noise measurement
Reagents
Stability analysis
stochastic-approximation gain
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Summary:This technical note considers a consensus problem of high-order multiagent systems with antagonistic interactions and communication noises. The interaction network associated with the multiagent system is modeled by a signed graph (called coopetition network) and the agent dynamics is described by a general linear system. A novel stochastic-approximation based control strategy is designed for each agent by using the relative state information from its neighbors. Additionally, convergence of a consensus error system is analyzed by the stochastic stability theory. Finally, the effectiveness of our results is demonstrated by simulation.
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content type line 14
ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2018.2872197