UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Distributed finite-time observer for LTI systems: A kernel-based approach

Chen, Yunqing; Yang, Jinman; Li, Peng; Chen, Boli; (2023) Distributed finite-time observer for LTI systems: A kernel-based approach. In: Proceedings of the 2023 European Control Conference (ECC). IEEE: Bucharest, Romania. Green open access

[thumbnail of ECC2023_distributed_observer_First_submission.pdf]
Preview
Text
ECC2023_distributed_observer_First_submission.pdf - Accepted Version

Download (533kB) | Preview

Abstract

The problem of distributed state estimation of a linear-time-invariant (LTI) system is addressed in this paper. Given a directed communication network, the full state vector can be reconstructed at an appointed node under the assumption of an open Hamiltonian path. By a suitably designed coordinate transformation, the initial conditions of the subsystems can be estimated successively along the path. Thanks to the Volterra integral operator induced by non-asymptotic kernel functions, the estimation task at each agent can be achieved within a predefined finite time and transmitted to the next node. As such, the instant state vector can be reconstructed at the end node after a finite time interval. Such a scheme is prone to reduce the communication burden. Extensive numerical examples are conducted to verify the effectiveness of the proposed observer in both noise-free and noisy scenarios.

Type: Proceedings paper
Title: Distributed finite-time observer for LTI systems: A kernel-based approach
Event: 2023 European Control Conference (ECC)
Location: Bucharest
Dates: 13 Jun 2023 - 16 Jun 2023
ISBN-13: 978-3-907144-08-4
Open access status: An open access version is available from UCL Discovery
DOI: 10.23919/ECC57647.2023.10178290
Publisher version: https://doi.org/10.23919/ECC57647.2023.10178290
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, Integral equations, Europe, Observers, Delays, Noise measurement, Communication networks
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/10169374
Downloads since deposit
47Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item