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Avtomatika i Telemekhanika, 2023, Issue 11, Pages 115–146
DOI: https://doi.org/10.31857/S0005231023110077 (Mi at16117) 		 
Robust, Adaptive and Network Control

Adaptive observer of state and disturbances for linear overparameterized systems

A. I. Glushchenko, K. A. Lastochkin

V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow
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DOI: https://doi.org/10.31857/S0005231023110077
Abstract: The problem of state reconstruction is considered for a class of linear systems with time-invariant unknown parameters and overparameterization that are affected by external perturbations generated by a known exosystem with unknown initial conditions. An extended adaptive observer is proposed, which, in contrast to existing approaches, solves state and perturbation adaptive estimation problems for systems that are not represented in the observer canonical form. The obtained theoretical results are validated via mathematical modeling.
Keywords: estimation, identification, adaptive observer, persistent excitation, convergence, overparameterization.
Funding agency Grant number
Ministry of Science and Higher Education of the Russian Federation МД.1787.2022.4
Presented by the member of Editorial Board: A. A. Bobtsov

Received: 23.01.2023
Revised: 23.08.2023
Accepted: 04.09.2023
English version:
Automation and Remote Control, 2023, Volume 84, Issue 11, Pages 1208–1231
DOI: https://doi.org/10.1134/S0005117923110036
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. I. Glushchenko, K. A. Lastochkin, “Adaptive observer of state and disturbances for linear overparameterized systems”, Avtomat. i Telemekh., 2023, no. 11, 115–146; Autom. Remote Control, 84:11 (2023), 1208–1231
Citation in format AMSBIB
\Bibitem{GluLas23}
\by A.~I.~Glushchenko, K.~A.~Lastochkin
\paper Adaptive observer of state and disturbances for linear overparameterized systems
\jour Avtomat. i Telemekh.
\yr 2023
\issue 11
\pages 115--146
\mathnet{http://mi.mathnet.ru/at16117}
\crossref{https://doi.org/10.31857/S0005231023110077}
\edn{https://elibrary.ru/OPGNVN}
\transl
\jour Autom. Remote Control
\yr 2023
\vol 84
\issue 11
\pages 1208--1231
\crossref{https://doi.org/10.1134/S0005117923110036}
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