Quantized consensus control for second-order multi-agent systems with nonlinear dynamics
Ren C.-E.2; Chen L.2; Chen C.L.P.2; Du T.1
2015-04-15
Source PublicationNeurocomputing
ISSN18728286 09252312
Volume175Issue:PartAPages:529-537
Abstract

This paper discusses a leader-following consensus problem of second-order multi-agent systems with nonlinear dynamics and directed communication topology based on quantized information. The communication signals between the neighbor agents are quantized and sent over communication channels. A new consensus controller based on the quantized information is proposed. Based on Lyapunov theory and sliding mode control strategy, it is proved that the proposed distributed controller can drive the states of multi-agent systems to reach the leader-following consensus. Two simulation examples are given to illustrate the effectiveness of the proposed approach.

KeywordLeader-following Consensus Nonlinear Dynamics Quantized Consensus Second-order Multi-agent Systems Sliding Mode Control
DOI10.1016/j.neucom.2015.10.090
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000367756600051
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Citation statistics
Cited Times [WOS]:20   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Southeast University
2.Universidade de Macau
Recommended Citation
GB/T 7714
Ren C.-E.,Chen L.,Chen C.L.P.,et al. Quantized consensus control for second-order multi-agent systems with nonlinear dynamics[J]. Neurocomputing,2015,175(PartA):529-537.
APA Ren C.-E.,Chen L.,Chen C.L.P.,&Du T..(2015).Quantized consensus control for second-order multi-agent systems with nonlinear dynamics.Neurocomputing,175(PartA),529-537.
MLA Ren C.-E.,et al."Quantized consensus control for second-order multi-agent systems with nonlinear dynamics".Neurocomputing 175.PartA(2015):529-537.
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