The parametric convergence performance improvement in the direct adaptive multi-sinusoidal disturbance compensation problem

The parametric convergence performance improvement in the direct adaptive multi-sinusoidal disturbance compensation problem

The paper presents an approach to the parametric convergence performance improvement applied to the direct adaptive multi-sinusoidal disturbance compensation problem. The proposed method improves the performance of the existing solutions and ensures the transient monotonicity. The Dynamic Regressor...

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Bibliographic Details
Main Authors: Marina M. Korotina, Stanislav V. Aranovskiy, Alexey A. Bobtsov, Andrey V. Lyamin
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2021-04-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
dynamic regressor extension and mixing
kreisselmeier’s scheme
persistent excitation condition
discrete systems
convergence
parameters identification
disturbance
disturbance compensation
Online Access:https://ntv.ifmo.ru/file/article/20324.pdf

Internet

https://ntv.ifmo.ru/file/article/20324.pdf

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