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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2023 Issue 11, Pages 115–146 (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

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.

Presented by the member of Editorial Board: A. A. Bobtsov

Received: 23.01.2023
Revised: 23.08.2023
Accepted: 04.09.2023

DOI: 10.31857/S0005231023110077


 English version:
Automation and Remote Control, 2023, 84:11, 1208–1231


© Steklov Math. Inst. of RAS, 2025