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Distributed Unknown Input Observer Design with Relaxed Conditions: Theory and Application to Vehicle Platooning

Zhao, Ruixuan; Yang, Guitao; Parisini, Thomas; Chen, Boli; (2025) Distributed Unknown Input Observer Design with Relaxed Conditions: Theory and Application to Vehicle Platooning. In: 2025 European Control Conference (ECC), Proceedings. IEEE: Thessaloniki, Greece. Green open access

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Abstract

Designing observers for linear systems with both known and unknown inputs is an important problem in several research contexts, for example, fault diagnosis and fault-tolerant control, and cyber-secure control systems, and presents significant challenges in distributed state estimation due to the limited sensing capabilities of individual nodes. Existing methods typically impose an individual input-to-output rank condition on each estimator node, which severely restricts applicability in practical applications. This paper presents a novel distributed unknown-input observer design scheme based on a geometric approach under much weaker assumptions than the ones available in the literature. By leveraging the properties of the (C,A)-invariant (conditioned invariant) subspace at each node, our methodology aims at reconstructing portions of the system state that remain unaffected by local unknown inputs, while integrating these estimates via a network-based information exchange. A case study on vehicle platoon control shows the effectiveness of the proposed approach.

Type: Proceedings paper
Title: Distributed Unknown Input Observer Design with Relaxed Conditions: Theory and Application to Vehicle Platooning
Event: 2025 European Control Conference (ECC)
ISBN-13: 978-3-907144-12-1
Open access status: An open access version is available from UCL Discovery
DOI: 10.23919/ECC65951.2025.11187243
Publisher version: https://doi.org/10.23919/ECC65951.2025.11187243
Language: English
Additional information: This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Linear systems, Fault tolerance, Simulation, Noise, Fault tolerant systems, Process control, Observers, Sensors, Noise measurement, Information exchange
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Engineering Science Faculty Office
URI: https://discovery.ucl.ac.uk/id/eprint/10215825
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