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.
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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 |
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