Particle filtering for dynamic systems with future constraints-Reference-Cited by-同舟云学术

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Particle filtering for dynamic systems with future constraints

Published:2024-02 Issue: Volume:145 Page:104314
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Hu Chongyang^ORCID,Liu Changchuang,Liang Yan,Liu Yanwei,Liu Weifeng

Funder

Key Technology Research and Development Program of Shandong Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference26 articles.

1. On Kalman filtering with nonlinear equality constraints;Julier;IEEE Trans. Signal Process.,2007

2. Robust linearly constrained Kalman filter for general mismatched linear state-space models;Vilà-Valls;IEEE Trans. Autom. Control,2022

3. Variance-constrained state estimation for nonlinear complex networks with uncertain coupling strength;Li;Digit. Signal Process.,2017

4. Fixed-Lag smoothing for Bayes optimal knowledge exploitation in target tracking;Papi;IEEE Trans. Signal Process.,2014

5. Route-based dynamics modeling and tracking with application to air traffic surveillance;Xu;IEEE Trans. Intell. Transp. Syst.,2020

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