Weighted measurement fusion Kalman estimator for multisensor descriptor system-Reference-Cited by-同舟云学术

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Weighted measurement fusion Kalman estimator for multisensor descriptor system

Published:2015-03-16 Issue:11 Volume:47 Page:2722-2732
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Dou Yinfeng,Ran Chenjian,Gao Yuan

Funder

National Natural Science Foundation of China

Scientific and Technology Research Foundation of Heilongjiang Education Department

Natural Science Foundation of Heilongjiang Province of China

Outstanding Youth Science Fund of Heilongjiang University

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/00207721.2015.1018368

Reference25 articles.

1. Performance evaluation of track fusion with information matrix filter

2. Kalman Filtering with Real-Time Applications

3. Filtering and LQG problems for discrete-time stochastic singular systems

4. Kalman filtering with unknown inputs via optimal state estimation of singular systems

5. New approach to information fusion steady-state Kalman filtering

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1. Weighted measurement fusion filter for multi-sensor uncertain systems with time-correlated measurement noises^*;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

2. Distributed fusion robust filter for multisensor networked singular control system with uncertain variances and missing measurement;Optimal Control Applications and Methods;2023-07-12

3. Distributed optimal fusion filtering for singular systems with random transmission delays and packet dropout compensations;Communications in Nonlinear Science and Numerical Simulation;2023-05

4. Distributed fusion robust estimators for multisensor networked singular control system with uncertain-variance correlated noises and missing measurement;Computational and Applied Mathematics;2023-01-31

5. Optimized distributed fusion filtering for singular systems with fading measurements and stochastic nonlinearity;AIMS Mathematics;2022

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