A multilevel approach for stochastic nonlinear optimal control-Reference-Cited by-同舟云学术

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A multilevel approach for stochastic nonlinear optimal control

Published:2020-12-03 Issue: Volume: Page:1-15
ISSN:0020-7179
Container-title:International Journal of Control
language:en
Short-container-title:International Journal of Control

Author:

Jasra Ajay¹,Heng Jeremy²,Xu Yaxian³,Bishop Adrian N.⁴

Affiliation:

1. Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

2. ESSEC Business School, Singapore, Singapore

3. Department of Statistics & Applied Probability, National University of Singapore, Singapore, Singapore

4. University of Technology Sydney, Sydney, Australia

Funder

Singapore Ministry of Education – AcRF tier 2

KAUST CRG4

Publisher

Informa UK Limited

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207179.2020.1849805

Reference39 articles.

1. Particle Markov chain Monte Carlo methods

2. Uniform ergodicity of the iterated conditional SMC and geometric ergodicity of particle Gibbs samplers

3. Bertoli, F. & Bishop, A. N. (2018a). An error analysis in the limit approximation in path integral control. Preprint.

4. Nonlinear stochastic receding horizon control: stability, robustness and Monte Carlo methods for control approximation

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1. Bayesian parameter inference for partially observed stochastic volterra equations;Statistics and Computing;2024-02-14

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