Continuous–discrete unscented Kalman filtering framework by MATLAB ODE solvers and square-root methods

Maria V. Kulikova; Gennady Yu. Kulikov

doi:10.1016/j.automatica.2022.110396

ScienceGate Book Chapters

JOURNAL ARTICLE

Continuous–discrete unscented Kalman filtering framework by MATLAB ODE solvers and square-root methods

Maria V. Kulikova Gennady Yu. Kulikov

Year: 2022 Journal: Automatica Vol: 142 Pages: 110396-110396 Publisher: Elsevier BV

DOI: 10.1016/j.automatica.2022.110396

Get Full-Text PDF Get Analytical Report

Keywords:

Cholesky decomposition Discretization Kalman filter Robustness (evolution) Control theory (sociology) MATLAB Computer science Ode Square root Extended Kalman filter Algorithm Mathematics Applied mathematics Artificial intelligence

Metrics

Cited By

3.92

FWCI (Field Weighted Citation Impact)

Refs

0.91

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Inertial Sensor and Navigation

Physical Sciences → Engineering → Aerospace Engineering

GNSS positioning and interference

Physical Sciences → Engineering → Aerospace Engineering

Continuous–discrete unscented Kalman filtering framework by MATLAB ODE solvers and square-root methods

Metrics

Citation History

Topics

Related Documents

The J-Orthogonal Square-Root MATLAB-Based Continuous-Discrete Unscented Kalman Filtering Method

Square-root information-type methods for continuous–discrete extended Kalman filtering

UDUT Continuous-Discrete Unscented Kalman Filtering

MATLAB-based general approach for square-root extended-unscented and fifth-degree cubature Kalman filtering methods

Unscented Kalman Filtering for Nonlinear Continuous–Discrete Stochastic Systems