Distributed Consensus Kalman Filter Design with Dual Energy-Saving Strategy: Event-Triggered Schedule and Topological Transformation.

Chunxi Yang, Gengen Li, Guanbin Gao, Qinghua Shi

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Chunxi YangFaculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China.ORCID 0000-0003-4455-6919

Gengen LiFaculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China.

Guanbin GaoFaculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China.ORCID 0000-0001-6857-0315

Qinghua ShiYunnan Institute, China Academy of Machinery Science and Technology Group Co., Ltd., Kunming 650031, China.

Funding

National Natural Science Foundation of China 62063011the Open Foundation of Key Laboratory in Software Engineering of Yunnan Province 2020SE502Yunnan Major Scientific and Technological Projects 202202AG050002

6 · The paper itself

Abstract

In the distributed information fusion of wireless sensor networks (WSNs), the filtering accuracy is commonly negatively correlated with energy consumption. Therefore, a class of distributed consensus Kalman filters was designed to balance the contradiction between them in this paper. Firstly, an event-triggered schedule was designed based on historical data within a timeliness window. Furthermore, considering the relationship between energy consumption and communication distance, a topological transformation schedule with energy-saving is proposed. The energy-saving distributed consensus Kalman filter with a dual event-driven (or event-triggered) strategy is proposed by combining the above two schedules. The sufficient condition of stability for the filter is given by the second Lyapunov stability theory. Finally, the effectiveness of the proposed filter was verified by a simulation.

Indexed as

distributed Kalman filterevent-triggered scheduletimeliness windowtopological transformation

Identifiers

PMID36991972

DOI10.3390/s23063261

PMCPMC10058712

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.