Unscented Kalman Filtering for Nonlinear Continuous–Discrete Stochastic Systems

Gennady Yu. Kulikov; Maria V. Kulikova

doi:10.1007/978-3-031-61371-5_5

ScienceGate Book Chapters

BOOK-CHAPTER

Unscented Kalman Filtering for Nonlinear Continuous–Discrete Stochastic Systems

Gennady Yu. Kulikov Maria V. Kulikova

Year: 2024 Studies in systems, decision and control Pages: 411-577 Publisher: Springer International Publishing

DOI: 10.1007/978-3-031-61371-5_5

Get Full-Text PDF Get Analytical Report

Keywords:

Kalman filter Nonlinear system Control theory (sociology) Unscented transform Computer science Extended Kalman filter Fast Kalman filter Mathematics Artificial intelligence Physics Control (management)

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.33

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Inertial Sensor and Navigation

Physical Sciences → Engineering → Aerospace Engineering

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Unscented Kalman Filtering for Nonlinear Continuous–Discrete Stochastic Systems

Metrics

Topics

Related Documents

Continuous Discrete Unscented Kalman Filtering for Nonlinear Differential Algebraic Equations Systems

UDUT Continuous-Discrete Unscented Kalman Filtering

Accurate continuous–discrete unscented Kalman filtering for estimation of nonlinear continuous-time stochastic models in radar tracking

Unscented Kalman Filtering for Nonlinear Systems with Stochastic Nonlinearities under FlexRay Protocol

On Unscented Kalman Filtering for State Estimation of Continuous-Time Nonlinear Systems