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Alpha beta filter

About: Alpha beta filter is a research topic. Over the lifetime, 5653 publications have been published within this topic receiving 128415 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, it is shown that if the system is spectrally observable, there exists an observer which can estimate the state variables of the system as fast as desired, and a systematic design procedure of the observer is presented.
Abstract: The paper is concerned with the design of an observer of systems with delays in state variables and control. It is shown, on the basis of the finite spectrum assignment theory, that if the system is spectrally observable, there exists an observer which can estimate the state variables of the system as fast as desired. A systematic design procedure of the observer is presented. The advantage of the proposed method is that the observer is constructed without preliminary knowledge of the open-loop spectrum in contrast with the design method based on the spectral decomposition.

34 citations

Proceedings ArticleDOI
04 Jun 1997
TL;DR: In this paper, the design of observers for autonomous nonlinear systems with one output is discussed and necessary and sufficient conditions for existence of a solution to the observer error linearization problem are given.
Abstract: We discuss the design of observers for autonomous nonlinear systems with one output. New necessary and sufficient conditions for existence of a solution to the observer error linearization problem are given. In the case when an exact linearization of the observer error dynamics is impossible, a simple least-squares scheme is proposed that yields an observer whose error dynamics is approximately linear. An algorithm for observer construction is provided. An example of observer design for a mass-spring system with nonlinear spring and dynamic friction forces is given.

34 citations

Journal ArticleDOI
TL;DR: This paper shows that the $N$-fold composition of the corresponding Riccati-like mapping of the robust Kalman filters is strictly contractive provided that the tolerance is sufficiently small and, accordingly, the filter converges.
Abstract: In this paper, we analyze the convergence of a family of robust Kalman filters. For each filter of this family, the model uncertainty is tuned according to the so-called tolerance parameter. Assuming that the corresponding state-space model is reachable and observable, we show that the $N$-fold composition of the corresponding Riccati-like mapping is strictly contractive provided that the tolerance is sufficiently small and, accordingly, the filter converges.

34 citations

Journal ArticleDOI
TL;DR: In this paper, a sliding mode state observer is used to obtain on-line estimates of the new state variable and a practical stabilizer is obtained by combining the observer with an input-output linearizing controller.

34 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202331
202277
20211
201910
201836
2017269