In this paper, the cubature information filtering is investigated to deal with the distributed state estimation problem for nonlinear systems. In order to release the communication burden of sensor networks, a new event-triggered mechanism is designed based on the difference between innovations at current time instant and the latest event-triggered time instant. The hybrid consensus strategy with the new event-triggered mechanism is adopted to leverage information from neighbor nodes, which combines the advantages of the consensus on measurements method and the consensus on information method. Finally, the effectiveness of the proposed algorithm is verified by a simulation.
Distributed cubature information filtering based on hybrid consensus strategy with event-triggered mechanism
Xufeng Lin,Xuechun Zhang,Yanyan Hu,Zengwang Jin
Published 2022 in Asian Control Conference
ABSTRACT
PUBLICATION RECORD
- Publication year
2022
- Venue
Asian Control Conference
- Publication date
2022-05-04
- Fields of study
Computer Science, Engineering
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-8 of 8 references · Page 1 of 1
CITED BY
Showing 1-1 of 1 citing papers · Page 1 of 1