Open Access
ARTICLE
Self-Triggered Consensus Filtering over Asynchronous Communication Sensor Networks
Huiwen Xue1, Jiwei Wen1,*, Akshya Kumar Swain1, Xiaoli Luan1
1
Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, 214000,
China
2
Department of Electrical, Computer and Software Engineering, University of Auckland, Auckland, 0632, New Zealand
* Corresponding Author: Jiwei Wen. Email:
(This article belongs to this Special Issue: Advances on Modeling and State Estimation for Industrial Processes)
Computer Modeling in Engineering & Sciences 2023, 134(2), 857-871. https://doi.org/10.32604/cmes.2022.020127
Received 05 November 2021; Accepted 23 March 2022; Issue published 31 August 2022
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, a co-design of the self-triggered policy and asynchronous distributed
filter is developed to ensure consensus of the state estimates. Finally, a numerical example is given to illustrate the
effectiveness of the consensus filtering approach.
Keywords
Cite This Article
Xue, H., Wen, J., Swain, A. K., Luan, X. (2023). Self-Triggered Consensus Filtering over Asynchronous Communication Sensor Networks.
CMES-Computer Modeling in Engineering & Sciences, 134(2), 857–871.