NIRK-based mixed-type accurate continuous–discrete Gaussian filters with deterministically sampled expectation and covariance for state estimation in continuous-time stochastic process models with discrete measurements-Reference-Cited by-同舟云学术

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NIRK-based mixed-type accurate continuous–discrete Gaussian filters with deterministically sampled expectation and covariance for state estimation in continuous-time stochastic process models with discrete measurements

Published:2024-05 Issue:7 Volume:361 Page:106768
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Kulikov G.Yu.^ORCID,Kulikova M.V.

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Elsevier BV

Reference159 articles.

1. Numerical Methods for Ordinary Differential Equations;Butcher,2008

2. Stability of Runge–Kutta Methods for Stiff Nonlinear Differential Equations;Dekker,1984

3. Geometric Numerical Integration: Structure Preserving Algorithms for Ordinary Differential Equations;Hairer,2002

4. Solving Ordinary Differential Equations I: Nonstiff Problems;Hairer,1993

5. Solving Ordinary Differential Equations II: Stiff and Differential-Algebraic Problems;Hairer,1996

Cited by 3 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. Gaussian Filtering for Stiff Continuous–Discrete Stochastic Modeling Tasks;Studies in Systems, Decision and Control;2024

2. Gaussian Filtering with Deterministically Sampled Expectation and Covariance;Studies in Systems, Decision and Control;2024

3. Advanced Numerical Integration Based on Runge–Kutta Formulas;Studies in Systems, Decision and Control;2024

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