The DREM Approach for Chaotic Oscillators Parameter Estimation with Improved Performance * *This article is supported by the Russian Federation President Grant 14.Y31.16.9281-HLLI, the Government of the Russian Federation (GOSZADANIE 2.8878.2017, grant 074-U01) and the Ministry of Education and Science of the Russian Federation (project 14.Z50.31.0031).

Vladislav S Gromov,Stanislav V Aranovskiy,Alexey A Bobtsov,Anton A Pyrkin,Sergey A Kolyubin,Oleg I Borisov

doi:10.1016/j.ifacol.2017.08.1347

The DREM Approach for Chaotic Oscillators Parameter Estimation with Improved Performance * *This article is supported by the Russian Federation President Grant 14.Y31.16.9281-HLLI, the Government of the Russian Federation (GOSZADANIE 2.8878.2017, grant 074-U01) and the Ministry of Education and Science of the Russian Federation (project 14.Z50.31.0031).

Vladislav S Gromov, Stanislav V Aranovskiy + Show 4 more

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https://doi.org/10.1016/j.ifacol.2017.08.1347

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Journal: IFAC PapersOnLine	Publication Date: Jul 1, 2017
Citations: 4

Affiliation: ITMO University, CentraleSupélec, Institute of Electronics and Telecommunications of Rennes, Institute of Problems of Mechanical Engineering

#Russian Federation President Grant #Dynamic Regressor Extension + Show 8 more

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Abstract

Abstract In this paper we address the problem of parameter estimation performance enhancement for Duffing-like chaotic oscillator with parametric uncertainties. The Dynamic Regressor Extension and Mixing (DREM) approach, which has been recently proposed by the authors, is proven to be a powerful tool in transients improvement; however, it was never applied before for chaotic systems. Here we elaborate on how the DREM approach can be applied for the parameter reconstruction problem of chaotic signal generator used in the data transmitting scenario. The set of numerical examples illustrates the benefits of the proposed approach.

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