Adaptive Observer of State Variables of a Nonlinear Nonstationary System with Unknown Constant Parameters
https://doi.org/10.17586/0021-3454-2023-66-8-627-636
Abstract
For a nonlinear nonstationary system an adaptive state vector observer using output variable measurement is developed the control matrix (vector) and the nonlinear component of the equation of state of the system contain unknown constant parameters. When synthesizing the observer, a preliminary parametrization of the original nonlinear system is carried out. Then the derived system is reduced to a linear regression model. At the next stage, unknown constant regression parameters are estimated using the least squares method with a forgetting factor. The result of the previous work by the authors, which considered a linear non-stationary system containing unknown parameters in the control matrix (vector), is extended to the case when the equation of state of the system contains a partially unknown nonlinearity. The performance of the proposed algorithm is illustrated by mathematical modeling.
Keywords
adaptive observer,
nonlinear system,
nonstationary system,
linear regression model,
parameters identification
Supporting agencies: The article was prepared with the financial support of the Russian Science Foundation, grant 22-21-00499.
About the Authors
O. A. Kozachek
ITMO University
Russian Federation
Russian Federation
Olga А. Kozachek — Post-Graduate Student; Faculty of Control Systems and Robotics
St. Petersburg
A. A. Bobtsov
ITMO University
Russian Federation
Russian Federation
Alexey A. Bobtsov — Dr. Sci., Professor; Faculty of Control Systems and Robotics; Director of Mega-faculty of Computer Technologies and Control
St. Petersburg
N. A. Nikolaev
ITMO University
Russian Federation
Russian Federation
Nikolay A. Nikolaev — PhD, Associate Professor; Faculty of Control Systems and Robotics
St. Petersburg
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Review
For citations:
Kozachek O.A., Bobtsov A.A., Nikolaev N.A. Adaptive Observer of State Variables of a Nonlinear Nonstationary System with Unknown Constant Parameters. Journal of Instrument Engineering. 2023;66(8):627-636. (In Russ.) https://doi.org/10.17586/0021-3454-2023-66-8-627-636
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