Open Access

ARTICLE

Self-Triggered Consensus Filtering over Asynchronous Communication Sensor Networks

Huiwen Xue¹, Jiwei Wen^1,*, 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 the 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.

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Keywords

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