Results 31 to 40 of about 55,859 (291)
Gaussian Filtering for Simultaneously Occurring Delayed and Missing Measurements
IEEE Access, 2022 Approximate filtering algorithms in nonlinear systems assume Gaussian prior and predictive density and remain popular due to ease of implementation as well as acceptable performance. However, these algorithms are restricted by two major assumptions: they
Amit Kumar Naik +4 more
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A hybrid EKF and switching PSO algorithm for joint state and parameter estimation of lateral flow immunoassay models [PDF]
, 2012 This is the post-print version of the Article. The official published can be accessed from the link below - Copyright @ 2012 IEEEIn this paper, a hybrid extended Kalman filter (EKF) and switching particle swarm optimization (SPSO) algorithm is proposed ...
Du, M, Li, Y, Liu, X, Wang, Z, Zeng, N
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Mid-State Kalman Filter for Nonlinear Problems
Sensors, 2022 When tracking very long-range targets, wide-band radars capable of measuring targets with high precision at ranges have severe measurement nonlinearities.
Zhengwei Liu, Ying Chen, Yaobing Lu
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Robust Gaussian Filtering using a Pseudo Measurement
, 2016 Many sensors, such as range, sonar, radar, GPS and visual devices, produce measurements which are contaminated by outliers. This problem can be addressed by using fat-tailed sensor models, which account for the possibility of outliers. Unfortunately, all
Bohg, Jeannette +6 more
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State-dependent Kalman filters for robust engine control [PDF]
, 2006 Vehicle emissions variations impose significant challenges to the automotive industry. In these simulation studies, nonlinear estimation techniques based on state-dependent and extended Kalman filtering are developed for spark ignition engines to enhance
Dutka, Arkadiusz +2 more
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Current Tracking Adaptive Control of Brushless DC Motors
International Journal of Adaptive Control and Signal Processing, EarlyView.In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García +3 more
wiley +1 more source
Condition monitoring of power plants using extended Kalman filtering [PDF]
Modeling, Identification and Control, 1988 Extended Kalman Filtering (EKF) is applied to the condition monitoring of hydro-power production plants. This method is well suited to real-time failure detection and identification.
Øyvin Skarstein
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Advanced Healthcare Materials, EarlyView.3D printed hybrid scaffolds combining bioactive silica–calcium chemistry with elastic polymers guide human bone stem cells to form bone. The scaffolds support cell survival, organization, and invasion while releasing osteogenic ions. Together, architecture and composition drive bone‐specific gene expression, extracellular matrix organization, and ...
David R. Sory +3 more
wiley +1 more source
Reports on Geodesy and Geoinformatics, 2015 In navigation practice, there are various navigational architecture and integration strategies of measuring instruments that affect the choice of the Kalman filtering algorithm.
Malinowski Marcin, Kwiecień Janusz
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Practical constraints on real time Bayesian filtering for NDE applications [PDF]
, 2014 An experimental evaluation of Bayesian positional filtering algorithms applied to mobile robots for Non-Destructive Evaluation is presented using multiple positional sensing data – a real time, on-robot implementation of an Extended Kalman and Particle ...
Dobie, G. +4 more
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