Bayesian Filtering for Nonlinear Stochastic Systems Using Holonomic Gradient Method with Integral Transform-Reference-Cited by-同舟云学术

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Bayesian Filtering for Nonlinear Stochastic Systems Using Holonomic Gradient Method with Integral Transform

Published:2021-12-14 Issue: Volume: Page:
ISSN:
Container-title:2021 60th IEEE Conference on Decision and Control (CDC)
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Author:

Iori Tomoyuki¹,Ohtsuka Toshiyuki²

Affiliation:

1. Osaka University,Graduate School of Information Science and Technology,Department of Information and Physical Sciences,Suita,Osaka,Japan,565-0871

2. Kyoto University,Graduate School of Informatics,Department of Systems Science,Kyoto,Japan,606-8501

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9682670/9682776/09683084.pdf?arnumber=9683084

Reference22 articles.

1. New extension of the Kalman filter to nonlinear systems;julier;SPIE,1997

2. Cubature Kalman Filters

3. Gaussian filters for nonlinear filtering problems

4. Symbolic-Numeric Computation of Posterior Mean and Variance for a Class of Discrete-Time Nonlinear Stochastic Systems

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On First Integrals of Hamiltonian System with Holonomic Hamiltonian;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06

2. Nonlinear Bayesian filtering via holonomic gradient method with quasi moment generating function;Asian Journal of Control;2022-10-27

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