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Adaptive estimation of time-varying parameters with application to roto-magnet plant

Author
Na, Jing; Xing, Y.; Costa-Castelló, R.
Type of activity
Journal article
Journal
IEEE Transactions on Systems, Man, and Cybernetics. Systems
Date of publication
2018-12-10
Volume
7
First page
19471
Last page
19487
DOI
https://doi.org/10.1109/TSMC.2018.2882844 Open in new window
Repository
http://hdl.handle.net/2117/130299 Open in new window
URL
https://ieeexplore.ieee.org/document/8571160 Open in new window
Abstract
This paper presents an alternative adaptive parameter estimation framework for nonlinear systems with time-varying parameters. Unlike existing techniques that rely on the polynomial approximation of time-varying parameters, the proposed method can directly estimate the unknown time-varying parameters. Moreover, this paper proposes several new adaptive laws driven by the derived information of parameter estimation errors, which achieve faster convergence rate than conventional gradient descent al...
Citation
Na, J.; Xing, Y.; Costa-Castelló, R. Adaptive estimation of time-varying parameters with application to roto-magnet plant. "IEEE Transactions on Systems, Man, and Cybernetics. Systems", 10 Desembre 2018, vol. 7, p. 19471-19487.
Keywords
Adaptive parameter estimation, nonlinear systems, time-varying parameters
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

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