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Neural Flux-Domain Encoder Resilient to Rotor Eccentricity in BLDC Drives. [PDF]
Sensors (Basel)Milanowski H, Piłat AK.
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Diffusion Tensor MRI and Spherical-Deconvolution-Based Tractography on an Ultra-Low Field Portable MRI System. [PDF]
Hum Brain MappGholam J +13 more
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Preprocessing and Denoising Techniques for Electrocardiography and Magnetocardiography: A Review. [PDF]
Bioengineering (Basel)Jia Y +6 more
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Discrete fractional Kalman filter
IFAC Postprint Volumes IPPV / International Federation of Automatic Control, 2009Abstract Abstract This paper presents a generalization of the classical discrete time Kalman filter algorithm to the case of the fractional systems. Motivations for the use of this filter are given and the algorithm is detailed. The document also shows a simple numerical example of linear state estimation.
Mohamed Aoun
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Vehicle Tracking in Video using Fractional Feedback Kalman Filter
IEEE Transactions on Computational Imaging, 2016Object tracking is a challenging and important area of research. The object tracking system must be capable of tracking abrupt variations in object state. Kalman filter is fundamental and widely used as an optimal state estimator in object tracking. With known noise and system parameters, Kalman filter tends to stabilize the gain.
Harpreet Kaur, J S Sahambi
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On the general Kalman filter for discrete time stochastic fractional systems
Mechatronics, 2013Abstract In this paper the derivation of Kalman filter for discrete time-stochastic fractional system is investigated. Based on a novel cumulative vector form model for fractional systems, a general Kalman filter is introduced. The validity of the proposed method has been compared with a previously presented method via simulation results. It is shown
Hoda Sadeghian +2 more
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Robust Fractional Embedded Cubature Kalman Filter for Fractional Nonlinear Stochastic System
International Journal of Control, Automation and Systems, 2022Jing Mu, Wuqi Gao, Jianlian Cheng
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Robust fractional order singular Kalman filter
International Journal of Robust and Nonlinear Control, 2023AbstractIn this article, the state estimation problem of linear fractional order singular (FOS) systems subject to matrix uncertainties is investigated where a recursive robust algorithm is derived. Considering an uncertain discrete‐time linear FOS system with added process and measurement noises, we aim to design a robust Kalman‐type state estimation ...
Komeil Nosrati +3 more
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Continuous fractional Kalman filter
International Multi-Conference on Systems, Sygnals & Devices, 2012This paper develops a new Kalman filter for linear systems described with continuous time fractional model. It extends the classical Kalman filter to deals with fractional differentiation. It is called continuous fractional Kalman Filter. The algorithm of the new filter is detailed and a suboptimal filter can be deduced. A numerical example illustrates
Mohamed Aoun +3 more
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Fractional order Kalman filter
2011 2nd International Conference on Intelligent Control and Information Processing, 2011This paper presents a Fractional Kalman filter for the linear fractional order discrete state-space systems. The detail derivation is given. Because the description of fractional order is more accurate then that given by integer order, and the proposed fractional Kalman filtering is more universal and practical.
Xiaojun Sun, Guangming Yan
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