Optimal distributed filtering for nonlinear saturated systems with random access protocol and missing measurements: The uncertain probabilities case

作者：

Highlights：

• A novel distributed filtering compensation algorithm is presented in terms of the available transmitted data.

• The expression form of the minimized UB of filtering error covariance matrix and the desirable filter gain are established.

• The filtering algorithm performances are analyzed by providing the theoretical proofs regarding the boundedness and the monotonicity.

摘要

•A novel distributed filtering compensation algorithm is presented in terms of the available transmitted data.•The expression form of the minimized UB of filtering error covariance matrix and the desirable filter gain are established.•The filtering algorithm performances are analyzed by providing the theoretical proofs regarding the boundedness and the monotonicity.

论文关键词：State-saturated stochastic systems,Distributed filtering,Missing measurements,Uncertain missing probabilities,Random access protocol

论文评审过程：Received 27 March 2020, Revised 28 September 2021, Accepted 27 November 2021, Available online 10 December 2021, Version of Record 10 December 2021.

论文官网地址：https://doi.org/10.1016/j.amc.2021.126844