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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2020 Issue 9, Pages 62–80 (Mi at15413)

This article is cited in 1 paper

Nonlinear Systems

Nonlinear parametric estimation of Hamiltonian systems: identification as stabilization

A. Hernandez, A. S. Poznyak

Control Automatico, CINVESTAV, Mexico City, Mexico

Abstract: The paper presents two numerical procedures in the continuous time for the identification of parameters of a class of Hamiltonian systems. Employing the definition of First Integrals and their characteristics, the suggested approach permits to treat the parametric identification process as a stabilization of the derivative of the first integrals. It is realized by two proposed numerical procedures, supported by an super-twist differentiator to have online estimates of the derivatives of the generalized state coordinates and impulses. The convergence of these identification procedures and their implementation in a scalar and vector cases are presented. The numerical examples illustrate a good workability of the suggested method.

Keywords: Hamilton function, first integrals, identification, stabilization.

Presented by the member of Editorial Board: A. V. Nazin

Received: 30.01.2020
Revised: 20.05.2020
Accepted: 25.05.2020

DOI: 10.31857/S0005231020090020


 English version:
Automation and Remote Control, 2020, 81:9, 1611–1626

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© Steklov Math. Inst. of RAS, 2026