Distributed event-triggered cubature information filtering based on weighted average consensus

作者：Tan, Qingke; Dong, Xiwang^*; Li, Qingdong; Ren, Zhang

来源：IET Control Theory and Applications, 2018, 12(1): 78-86.

DOI：10.1049/iet-cta.2017.0575

• 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

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.

• 出版日期2018-1-2
• 单位北京航空航天大学