A recursive Riccati interior-point method for chance-constrained stochastic model predictive control-Reference-Cited by-同舟云学术

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A recursive Riccati interior-point method for chance-constrained stochastic model predictive control

Published:2023-08-04 Issue:1 Volume:16 Page:273-285
ISSN:1882-4889
Container-title:SICE Journal of Control, Measurement, and System Integration
language:en
Short-container-title:SICE Journal of Control, Measurement, and System Integration

Author:

Zhang Jingyu¹^ORCID,Ohtsuka Toshiyuki¹

Affiliation:

1. Department of Systems Science, Graduate School of Informatics, Kyoto University, Kyoto, Japan

Funder

JSPS

Publisher

Informa UK Limited

Subject

General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/18824889.2023.2241163

Reference31 articles.

1. Model predictive control: Recent developments and future promise

2. Modulating robustness in control design: Principles and algorithms

3. Chance-Constrained Programming

4. Stochastic linear Model Predictive Control with chance constraints – A review

5. Dynamic Programming

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