Event-Triggered Bipartite Consensus of Single-Integrator Multi-Agent Systems with Measurement Noise
Joint Authors
Zhao, Yun-Bo
Sun, Wei-Guo
Ma, Cuiqin
Source
Journal of Control Science and Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Event-triggered bipartite consensus of single-integrator multi-agent systems is investigated in the presence of measurement noise.
A time-varying gain function is proposed in the event-triggered bipartite consensus protocol to reduce the negative effects of the noise corrupted information processed by the agents.
Using the state transition matrix, Ito^ formula, and the algebraic graph theory, necessary and sufficient conditions are given for the proposed protocol to yield mean square bipartite consensus.
We find that the weakest communication requirement to ensure the mean square bipartite consensus under event-triggered protocol is that the signed digraph is structurally balanced and contains a spanning tree.
Numerical examples validated the theoretical findings where the system shows no Zeno behavior.
American Psychological Association (APA)
Ma, Cuiqin& Zhao, Yun-Bo& Sun, Wei-Guo. 2018. Event-Triggered Bipartite Consensus of Single-Integrator Multi-Agent Systems with Measurement Noise. Journal of Control Science and Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1183065
Modern Language Association (MLA)
Ma, Cuiqin…[et al.]. Event-Triggered Bipartite Consensus of Single-Integrator Multi-Agent Systems with Measurement Noise. Journal of Control Science and Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1183065
American Medical Association (AMA)
Ma, Cuiqin& Zhao, Yun-Bo& Sun, Wei-Guo. Event-Triggered Bipartite Consensus of Single-Integrator Multi-Agent Systems with Measurement Noise. Journal of Control Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1183065
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183065