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Deadbeat Simultaneous Parameter-State Estimation for Linear Continuous-time Systems: a Kernel-based Approach

Peng, L; Boem, F; Pin, G; Parisini, T; (2018) Deadbeat Simultaneous Parameter-State Estimation for Linear Continuous-time Systems: a Kernel-based Approach. In: 2018 European Control Conference (ECC). (pp. pp. 2493-2498). IEEE Green open access

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Abstract

The simultaneous estimation of parameters and states in continuous-time linear MISO systems is considered in this paper. The estimates of system's parameters and states are provided simultaneously by a single estimator, where Volterra operators are suitably applied to the I/O measurements. This makes the estimator independent on the initial conditions thanks to the design of suitably shaped kernel functions equipped with non-asymptotic properties. As a result, in the noise-free scenario, instantaneous convergence can be obtained. Nohigh-gain injection nor periodic resetting is necessary. Numerical examples are reported showing the effectiveness of the proposed estimator.

Type: Proceedings paper
Title: Deadbeat Simultaneous Parameter-State Estimation for Linear Continuous-time Systems: a Kernel-based Approach
Event: 2018 European Control Conference (ECC), 12-15 June 2018, Limassol, Cyprus
ISBN-13: 978-3-9524-2698-2
Open access status: An open access version is available from UCL Discovery
DOI: 10.23919/ECC.2018.8550508
Publisher version: https://doi.org/10.23919/ECC.2018.8550508
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: Kernel , Convergence , MISO communication , Observers , Algebra , Europe
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/10046406
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