Journal
IET CONTROL THEORY AND APPLICATIONS
Volume 12, Issue 1, Pages 78-86Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-cta.2017.0575
Keywords
nonlinear filters; graph theory; set theory; mean square error methods; estimation error; information exchange; data transmission mechanism; triggering decision; nonlinear filtering algorithm; data transfer; mobile sensor network; distributed estimation problem; weighted average consensus; distributed event-triggered cubature information filtering
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Funding
- National Natural Science Foundation of China [61503009, 61333011, 61421063]
- Aeronautical Science Foundation of China [2016ZA51005]
- AVIC Innovation Funds [cxy2012BH01]
- Fundamental Research Funds for the Central Universities [YWF-14-RSC-101]
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To deal with the distributed estimation problem for mobile sensor networks with non-linear systems and a large amount of data transfer, the distributed event-triggered cubature information filtering based on weighted average consensus is proposed. The filter benefits from the non-linear filtering algorithm with consensus technique and event-triggered mechanism which reduces the amount of data transfer. The triggering decision is based on the data transmission mechanism, which is that each sensor makes a request to exchange information with its neighbours only if the difference between the most recent transmitted estimate and the current estimate exceeds a tolerable threshold. The estimation error of the proposed filter is proved to be bounded in mean square. Finally, numerical examples are provided to demonstrate the effectiveness of the theoretical results.
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