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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, a discrete-time robust nonlinear filtering algorithm is proposed to deal with the contami-nated Gaussian noise in the measurement, which is based on a robust modification of the derivative-free Kalman filter.

66 citations

Journal ArticleDOI
TL;DR: In this article, a comparative analysis of various nonlinear estimation techniques when applied for output feedback model-based control of batch crystallization processes is presented, and the performance of the nonlinear observers is evaluated in terms of their closed-loop behavior as well as their ability to cope with model imperfections and process uncertainties.

66 citations

Journal ArticleDOI
TL;DR: Improvements on the fractional Kalman filter based on the infinite dimensional form of a linear discrete fractional order state-space system are presented, with significant improvements in terms of estimation and smoothing results.

66 citations

Journal ArticleDOI
TL;DR: In this paper, issues related to the design of a fuzzy Luenberger observer for a drive system with a flexible joint is presented and the proposed estimator ensures shifting observer closed-loop poles in accordance with the present condition of the plant.
Abstract: In this paper, issues related to the design of a fuzzy Luenberger observer for a drive system with a flexible joint is presented. The proposed estimator ensures shifting observer closed-loop poles in accordance with the present condition of the plant. The dynamic states are recognized on the basis of the error between the plant and estimator outputs (classical approach), as well as additional signal (difference between electromagnetic, and shaft torque and its derivative). Depending on these signals, the fuzzy systems determine the location of the observer poles. The proposed control structure is investigated through a number of experimental tests.

66 citations

Journal ArticleDOI
Han Ho Choi, Myung Jin Chung1
TL;DR: Using the Riccati-equation-based approach, observer-based feedback control laws are designed, which guarantee the quadratic stability of the closed-loop control system and reduce the effect of the disturbance input on the controlled output to a prescribed level.

66 citations


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