Topic
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 published on a yearly basis
Papers
More filters
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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
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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
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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
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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
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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