Results 101 to 110 of about 18,908 (211)

Online Discrimination of Nonlinear Dynamics with Switching Differential Equations

, 2012
How to recognise whether an observed person walks or runs? We consider a dynamic environment where observations (e.g. the posture of a person) are caused by different dynamic processes (walking or running) which are active one at a time and which may ...
Bitzer, Sebastian, Kiebel, Stefan J., Yildiz, Izzet B.   +2 more
core  

Comparison of Nonlinear Filtering Techniques for Lunar Surface Roving Navigation [PDF]

Leading up to the Apollo missions the Extended Kalman Filter, a modified version of the Kalman Filter, was developed to estimate the state of a nonlinear system.
Kimber, Lemon, Welch, Bryan W.
core   +1 more source

Implementation of unknown parameter estimation procedure for hybrid and discrete non‐linear systems

IET Radar, Sonar & Navigation
The application of the hybrid extended Kalman filter (HEKF), hybrid unscented Kalman filter (HUKF), hybrid particle filter (HPF), and hybrid extended Kalman particle filter (HEKPF) is discussed for hybrid non‐linear filter problems, when prediction ...
Mahdi Razm‐Pa
doaj   +1 more source

A Method for State of Charge and State of Health Estimation of Lithium Batteries Based on an Adaptive Weighting Unscented Kalman Filter

Energies
This paper considers the estimation of SOC and SOH for lithium batteries using multi-innovation Levenberg–Marquardt and adaptive weighting unscented Kalman filter algorithms.
Fengyuan Fang, Caiqing Ma, Yan Ji
doaj   +1 more source

Achieving Adaptive Visual Multi-Object Tracking with Unscented Kalman Filter. [PDF]

Sensors (Basel), 2022
Zhang G, Yin J, Deng P, Sun Y, Zhou L, Zhang K.   +5 more
europepmc   +1 more source

Device-Free Tracking through Self-Attention Mechanism and Unscented Kalman Filter with Commodity Wi-Fi. [PDF]

Sensors (Basel), 2023
Nkabiti KP, Chen Y.
europepmc   +1 more source

The Invariant Unscented Kalman Filter

, 2017
This article proposes a novel approach for nonlinear state estimation. It combines both invariant observers theory and unscented filtering principles whitout requiring any compatibility condition such as proposed in the -IUKF algorithm. The resulting algorithm, named IUKF (Invariant Unscented Kalman Filter), relies on a geometrical-based constructive ...
Condomines, Jean-Philippe, Seren, Cédric, Hattenberger, Gautier   +2 more
openaire   +1 more source

Optimization of an unscented Kalman filter for an embedded platform. [PDF]

Comput Biol Med, 2022
Graybill PP, Gluckman BJ, Kiani M.
europepmc   +1 more source

Parameter Estimation of Nonlinear Structural Systems Using Bayesian Filtering Methods

Vibration
This paper examines the performance of Bayesian filtering system identification in the context of nonlinear structural and mechanical systems. The objective is to assess the accuracy and limitations of the four most well-established filtering-based ...
Kalil Erazo
doaj   +1 more source

Application of minimum error entropy unscented Kalman filter in table tennis trajectory prediction. [PDF]

PLoS One, 2022
Luo S, Niu J, Zheng P, Jing Z.
europepmc   +1 more source