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A Multi-hop Sensor Network-based State Estimation for Discrete-time Linear Systems with Dynamic Communication Graphs

Zhao, Ruixuan; Yang, Guitao; Li, Peng; Chen, Boli; (2025) A Multi-hop Sensor Network-based State Estimation for Discrete-time Linear Systems with Dynamic Communication Graphs. In: 2025 European Control Conference (ECC), Proceedings. (pp. pp. 1563-1568). IEEE: Thessaloniki, Greece. Green open access

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Abstract

In this work, we propose a novel distributed estimation scheme for discrete-time linear time-invariant (LTI) systems. This scheme achieves finite-time convergence without introducing high gain. Each local observer can reconstruct the state of the global system by combining its local measurement with the information shared among the communication network. The scheme relies on the application of cross-agent communication technology which, while introducing potential communication delays, eliminates the need for centralized redesign when the network topology changes. The latter significantly benefits the flexibility of the proposed scheme, especially in the context of a time-varying communication topology. The numerical example validates the effectiveness of the proposed design and its robustness against communication delays.

Type: Proceedings paper
Title: A Multi-hop Sensor Network-based State Estimation for Discrete-time Linear Systems with Dynamic Communication Graphs
Event: 2025 European Control Conference (ECC)
Dates: 24 Jun 2025 - 27 Jun 2025
Open access status: An open access version is available from UCL Discovery
DOI: 10.23919/ECC65951.2025.11187222
Publisher version: https://doi.org/10.23919/ECC65951.2025.11187222
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, Network topology, Spread spectrum communication, Observers, Robustness, Delays, Topology, Communication networks, Observability, Convergence.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Engineering Science Faculty Office
URI: https://discovery.ucl.ac.uk/id/eprint/10215834
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