Affiliation:
1. AGH University of Science and Technology Department of Applied Computer Science
2. AGH University of Science and Technology Department of of Automatic Control and Robotics
Abstract
In the paper, the exact state observers will be presented. The state estimators and observers can be used in technical processes for many purposes like the fault detection and diagnosis, the implementation of the state controllers, and soft reconstruction of inaccessible for measurements variables of the system. As the standard, for continuous systems the differential estimators of Kalman filter or Luenberger type observer are commonly used. However, if the initial conditions of the real state are unknown, both estimators guarantee only an asymptotic quality of the real state tracking. The paper presents another type of the state observers, which for continuous system have the structure given by two integral operators. Based on measurements of the system input and output signals on some predefined finite time interval T, they can reconstruct the initial state exactly. In on-line version, the exact state reconstruction is performed continuously for every t, based on special procedure executed within two moving windows of width T, on sliding time interval [t-T, t].
Publisher
University of Applied Sciences in Tarnow, Poland
Reference27 articles.
1. Byrski J., Algorytmy ze skończoną pamięcią do przetwarzania sygnałów w diagnostyce procesów, Monografie, Wydawnictwa AGH, Kraków, 2016.
2. Byrski J., Byrski W., State estimators and observers for continuous and discrete linear systems. Part 1. Differential asymptotic state estimators, Sci, Tech. Innov., 2018, 3 (2), 62-68
3. Kalman R., A new approach to linear filtering and prediction problems, Journal of Basic Engineering, 1960.
4. Luenberger D., Observers for multivariable systems. IEEE TAC-11. 1966, p.190.
5. Kwakernaak H., Sivan R., Linear Optimal Control Systems, Wiley, 1972.
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