Adaptive consensus-based distributed H∞ filtering with switching topology subject to partial information on transition probabilities
作者：
Highlights：
• A distributed estimation method with switching topologies is developed for a class of discrete time-varying delay systems over a wireless filtering network with partially unknown transition probabilities.
• An adaptive event-triggered strategy is introduced to achieve dynamic adjustment to balance the communication burden on the network and ensure the desired filtering accuracy.
• The sufficient conditions for the existence of the distributed H∞ filter are given in the form of linear matrix inequalities.
摘要
•A distributed estimation method with switching topologies is developed for a class of discrete time-varying delay systems over a wireless filtering network with partially unknown transition probabilities.•An adaptive event-triggered strategy is introduced to achieve dynamic adjustment to balance the communication burden on the network and ensure the desired filtering accuracy.•The sufficient conditions for the existence of the distributed H∞ filter are given in the form of linear matrix inequalities.
论文关键词：Time-varying delay,Distributed H∞ estimation,Event-triggered strategy,Switching topology,Unknown transition probability,Free-connection weighting matrix
论文评审过程：Received 16 January 2021, Revised 25 May 2021, Accepted 12 July 2021, Available online 25 July 2021, Version of Record 25 July 2021.
论文官网地址：https://doi.org/10.1016/j.amc.2021.126534
