Results 1 to 10 of about 55,760 (192)
A Review of Nonlinear Filtering Algorithms in Integrated Navigation Systems [PDF]
SensorsNonlinear filtering algorithms have significant implications in the optimal estimation of navigation states and in improving the accuracy, reliability, and robustness of navigation systems.
Jiaqian Si, Yanxiong Niu, Botao Wang
doaj +2 more sources
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
openaire +2 more sources
Extended Kalman Filter Using Orthogonal Polynomials [PDF]
IEEE Access, 2021 This paper reports a new extended Kalman filter where the underlying nonlinear functions are linearized using a Gaussian orthogonal basis of a weighted $\mathcal {L}_{2}$ space. As we are interested in computing the states’ mean and covariance with respect to Gaussian measure, it would be better to use a linearization, that is optimal with ...
Kundan Kumar +2 more
openaire +4 more sources
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
doaj +1 more source
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
doaj +1 more source
Machines, 2023 This paper analyzes the performance of Kalman filter-based estimators for robust filtering and rotor asymmetry detection in wound rotor induction machines (WRIMs) using real-time data. Filter models were designed based on an extended model of WRIMs.
Furzana John Basha, Kumar Somasundaram
doaj +1 more source
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
SOC estimation of lithium-ion battery based on AEKF
Dianzi Jishu Yingyong, 2023 Aiming at the problem that the noise information is fixed when the extended Kalman filter(EKF) algorithm estimates the state of charge(SOC) of lithium-ion battery, resulting in low estimation accuracy, an adaptive extended Kalman filter(AEKF) algorithm ...
Wang Xiang +4 more
doaj +1 more source
Applications of Kalman and Extended Kalman Filtering to Target Tracking [PDF]
المجلة العراقية للعلوم الاحصائية, 2006 This study deals with the famous trackers named Kalman and extended Kalman filters. This is introduced by describing the state space representation approach to model the target system.
Basil Y. Thanoon +2 more
doaj +1 more source