Distributed resilient fusion filtering for nonlinear systems with random sensor delay under round-robin protocol. Issue 13 (3rd October 2022)

• Record Type: Journal Article
• Authors: Hu, Zhibin; Hu, Jun; Tan, Hailong; Huang, Jinpeng; Cao, Zhipeng
• Is Part Of: International journal of systems science. Volume 53:Issue 13(2022)
• Page Start: 2786
• Page End: 2799
• Publication Date: 2022-10-03
• Subjects: Distributed resilient fusion filtering -- nonlinear multi-sensor networked systems -- round-robin protocol -- inverse covariance intersection approach; System analysis -- Periodicals; 003.3
• DOI: 10.1080/00207721.2022.2062802
• Languages: English
• ISSNs: 0020-7721

Abstract

Abstract : In this paper, we address the distributed resilient fusion filtering (DRFF) problem for a class of nonlinear multi-sensor networked systems (MSNSs) with random sensor delay (RSD) under round-robin protocol (RRP). The RSD is depicted by the Bernoulli random variable with known occurrence probability. In order to relieve the network congestion, the RRP that can deal with information overload issue of the transmission process from sensor to the estimator is utilised. The major objective of this paper is that the resilient fusion filter is designed for nonlinear MSNSs with RSD and RRP in the light of the inverse covariance intersection approach, where the local upper bound regarding the filtering error covariance is obtained and then minimised by suitably exploiting the local filter gain. Finally, a simulation example that can show the validity of the provided DRFF algorithm is presented.