Consensus of Linear Multi-Agent Systems with Persistent Disturbances via Distributed Output Feedback

This paper addresses the consensus problem of general linear multi-agent systems with persistent disturbances by distributed output feedback. Suppose that states of agents can not be obtained directly. Several estimators are designed to observe states of agents and the unknown disturbances. A protoc...

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Bibliographic Details
Published inJournal of systems science and complexity Vol. 32; no. 3; pp. 835 - 845
Main Authors Mo, Lipo, Guo, Shaoyan
Format Journal Article
LanguageEnglish
Published Beijing Academy of Mathematics and Systems Science, Chinese Academy of Sciences 01.06.2019
Springer Nature B.V
Subjects
Complex Systems
Computer simulation
Control
Disturbances
Linear matrix inequalities
Linear systems
Mathematical analysis
Mathematics
Mathematics and Statistics
Mathematics of Computing
Matrix methods
Multiagent systems
Operations Research/Decision Theory
Output feedback
Permutations
Statistics
Systems Theory
multi-agent systems
persistent disturbances
distributed observer
leaderless
Consensus
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Summary:This paper addresses the consensus problem of general linear multi-agent systems with persistent disturbances by distributed output feedback. Suppose that states of agents can not be obtained directly. Several estimators are designed to observe states of agents and the unknown disturbances. A protocol is proposed to drive all agents achieve consensus. Based on the method of model transformation and the property of permutation matrix, sufficient conditions for consensus are obtained in terms of linear matrix inequalities. Finally, simulations are given to show the effectiveness of presented results.
ISSN:1009-6124
1559-7067
DOI:10.1007/s11424-018-7265-y