Results 1 to 10 of about 9,274 (303)
Kalman filtering in extended noise environments
IEEE Transactions on Automatic Control, 2005 This paper introduces an extended environment for Kalman filtering that considers also the presence of additive noise on input observations in order to solve the problem of optimal (minimal variance) estimation of noise-corrupted input and output ...
Roberto Diversi
exaly +4 more sources
Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements
Automatica, 2012 Copyright @ 2012 ElsevierIn this paper, the extended Kalman filtering problem is investigated for a class of nonlinear systems with multiple missing measurements over a finite horizon.
Jun Hu, Zidong Wang, Huijun Gao
exaly +2 more sources
Event-Triggered Extended Kalman Filtering Analysis for Networked Systems
Mathematics, 2022 In this paper, the filtering problem of nonlinear networked systems with event-triggered data transmission tasks is studied. To reduce the transmission of excessive measurement data in the bandwidth-limited network, a data transmission mechanism with ...
Huijuan Zhao, Jiapeng Xu, Fangfei Li
doaj +2 more sources
The unscented kalman filtering in extended noise environments
2009 American Control Conference, 2009 Dimirovski, Georgi M. (Dogus Author)This paper introduces an extended environment for the unscented Kalman filtering that considers also the presence of additive noise on input observations in order to solve the problem of optimal estimation of noise ...
Dimirovski, Georgi M. +7 more
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Kalman filter and extended Kalman filter [PDF]
, 2017 In the Bachelor’s thesis we describe the Kalman filtering algorithm for linear-Gaussian state space models and give an example of its application. We describe the extended Kalman filter for differentiable Gaussian state space models and give examples ...
Järvsoo, Johanna Adele
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Extended fractional singular kalman filter [PDF]
Applied Mathematics and Computation, 2021 Abstract Effective and accurate state estimation is a staple of modern modeling. On the other hand, nonlinear fractional-order singular (FOS) systems are an attractive modeling tool as well since they can provide accurate descriptions of systems with complex dynamics.
Komeil Nosrati +3 more
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Attitude Estimation Algorithm of Portable Mobile Robot Based on Complementary Filter
Micromachines, 2021 In robot inertial navigation systems, to deal with the problems of drift and noise in the gyroscope and accelerometer and the high computational cost when using extended Kalman filter (EKF) and particle filter (PF), a complementary filtering algorithm is
Mei Liu +3 more
doaj +1 more source
International Journal of Electrochemical Science, 2021 In the battery management system, the state-of-energy is an important state to represent the remaining energy of the battery. The equivalent circuit model is the key to predicate this state of the lithium-ion battery.
Lili Xia +5 more
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A quantum extended Kalman filter [PDF]
Journal of Physics A: Mathematical and Theoretical, 2017 A stochastic filter uses a series of measurements over time to produce estimates of unknown variables based on a dynamic model. For a quantum system, such an algorithm is provided by a quantum filter, which is also known as a stochastic master equation (SME).
Emzir, Muhammad F +2 more
openaire +3 more sources
Double hybrid Kalman filtering for state estimation of dynamical systems [PDF]
ITM Web of Conferences, 2019 In this paper authors present a new approaches to the hybrid Kalman filtering and modified hybrid Kalman filtering, with the changed order of methods inside (Unscented Kalman Filter and Extended Kalman Filter).
Michalski Jacek +2 more
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