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State Estimation Using a Network of Observers for a Class of Nonlinear Systems with Communication Delay

Zhao, Ruixuan; Yang, Guitao; Li, Peng; Parisini, Thomas; Chen, Boli; (2024) State Estimation Using a Network of Observers for a Class of Nonlinear Systems with Communication Delay. In: Proceedings of the 22nd European Control Conference (ECC). IEEE (Institute of Electrical and Electronics Engineers): Stockholm, Sweden. Green open access

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Abstract

Distributed observer design is critical for large-scale systems to collectively estimate the system state via networked sensors. In this paper, we propose a novel distributed observer scheme for estimating the states of a class of nonlinear systems. Unknown and time-varying communication delays are considered due to ubiquitous network latency when information is exchanged among observer nodes. Based on the Lyapunov stability criterion, a set of linear matrix inequalities (LMIs) are derived for the design of observer gains, which ensure asymptotic convergence of the state estimates to the true state trajectories in the presence of communication delays. Simulation results are given to validate the effectiveness of the proposed method and its advantage over a recent approach without considering communication delays.

Type: Proceedings paper
Title: State Estimation Using a Network of Observers for a Class of Nonlinear Systems with Communication Delay
Event: 2024 22nd European Control Conference (ECC)
Dates: 25 Jun 2024 - 28 Mar 2024
ISBN-13: 78-3-9071-4410-7
Open access status: An open access version is available from UCL Discovery
DOI: 10.23919/ECC64448.2024.10590922
Publisher version: https://doi.org/10.23919/ECC64448.2024.10590922
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: Simulation, Process control, Observers, Sensor systems, Delays, Large-scale systems, Trajectory
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10189764
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