Unscented Kalman filtering for target tracking systems with packet dropout compensation-Reference-Cited by-同舟云学术

Unscented Kalman filtering for target tracking systems with packet dropout compensation

Published:2019-06-27 Issue:12 Volume:13 Page:1901-1908
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Ma Kemao¹,Xu Long¹,Fan Hongxia¹²

Affiliation:

1. Department of Control ScienceEngineering, Control, Simulation Center, Harbin Institute of Technology2 Yikuang StreetHarbinPeople's Republic of China

2. School of Basic Science, Harbin University of Commerce1 Xuehai StreetHarbinPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2018.5537

Reference43 articles.

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4. Fly‐by‐feel control of an aeroelastic aircraft using distributed multirate Kalman filtering;Armanious G.;J. Guid. Control Dyn.,2017

5. A Prediction-Error Covariance Estimator for Adaptive Kalman Filtering in Step-Varying Processes: Application to Power-System State Estimation

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