Work

Distributed Event‐Triggered Moving Horizon Estimation for Remote Monitoring of Bus Active Suspension Systems Over Relay Networks

Year: 2026

Type: article

Abstract: ABSTRACT This paper addresses the problem of remote state estimation for active suspension systems (ASSs) in electric buses and proposes a novel distributed moving horizon estimation (DMHE) algorithm. To reduce computational complexity, the full‐vehicle ASS is decomposed into several interconnected low‐order subsystems. An event‐triggered mechanism (ETM) is introduced to reduce unnecessary data transmissions from the ASS to the remote monitoring platform. Besides, filter‐and‐forward relays are employed to improve communication reliability. On this basis, a distributed moving horizon estimator is constructed, which integrates measurements and relay data to estimate the system state. Furthermore, in view of the coupling between subsystems, a consensus cost is developed to improve estimation accuracy. Sufficient conditions are derived to guarantee the boundedness of the estimation error. Finally, the effectiveness of the proposed algorithm is verified through co‐simulations in CarSim/Simulink and experiments on a half‐vehicle ASS.

Source: Asian Journal of Control

DOI: 10.1002/asjc.70244

Authors: Xiulan Song, Chenhui Xu, Haiping Du, Defeng He

Institutions: Zhejiang University of Technology, University of Wollongong

Language: English

Topic: Stability and Control of Uncertain Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: bronze

Funders: National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province