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Robust time-varying sensor bias estimation for bounded-error systems: application to the wind turbine benchmark

Author
Witczak, M.; Pazera, M.; Puig, V.; Mrugalski, M.
Type of activity
Presentation of work at congresses
Name of edition
26th Mediterranean Conference on Control and Automation, MED 2018
Date of publication
2018
Presentation's date
2018-06-22
Book of congress proceedings
MED 2018 - 26th Mediterranean Conference on Control and Automation
First page
679
Last page
684
DOI
https://doi.org/10.1109/MED.2018.8442572 Open in new window
Abstract
The objective of this paper is to propose a novel approach for simultaneous state and time-varying sensor bias estimation of dynamic systems. The main advantage of the presented strategy is its simplicity along with robustness to exogenous bounded disturbances. The proposed approach belongs to the wide class of the so-called bounded-error approaches. It constitutes an attractive alternative to the stochastic Kalman-filer-based framework as no knowledge about disturbances/noise distribution is re...
Keywords
Benchmarking, Bounded disturbances, Bounded errors, Bounded-error approaches, Convergence analysis, Quadratic boundedness, Sensor bias estimation, Stochastic systems, Time varying, Upper and lower bounds, Wind turbines
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants

  • Witczak, Marcin  (author and speaker )
  • Pazera, Marcin  (author and speaker )
  • Puig Cayuela, Vicenç  (author and speaker )
  • Mrugalski, Marcin  (author and speaker )