Huiwen Xue1, Jiwei Wen1,*, Akshya Kumar Swain1, Xiaoli Luan1
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 857-871, 2023, DOI:10.32604/cmes.2022.020127
Abstract In this paper, a self-triggered consensus filtering is developed for a class of discrete-time distributed filtering
systems. Different from existing event-triggered filtering, the self-triggered one does not require to continuously
judge the trigger condition at each sampling instant and can save computational burden while achieving good
state estimation. The triggering policy is presented for pre-computing the next execution time for measurements
according to the filter’s own data and the latest released data of its neighbors at the current time. However, a
challenging problem is that data will be asynchronously transmitted within the filtering network because each
node self-triggers independently. Therefore,… More >
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