Automated Data-Driven Tuning of Learning-Based Model Predictive Control (SelfMPC): A Maximum-Likelihood Approach-Reference-Cited by-同舟云学术

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Automated Data-Driven Tuning of Learning-Based Model Predictive Control (SelfMPC): A Maximum-Likelihood Approach

Published:2024-06-25 Issue: Volume: Page:104-109
ISSN:
Container-title:2024 European Control Conference (ECC)
language:
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Author:

Yang Guitao¹,Scandella Matteo¹,Formentin Simone²,Parisini Thomas³

Affiliation:

1. Imperial College London,Department of Electrical and Electronic Engineering,London,United Kingdom

2. Politecnico di Milano,Department of Electronics Information and Bioengineering,Milano,Italy,20133

3. Imperial College London,Department of Electrical and Electronic Engineering,London,UK,SW7 2AZ

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10590709/10590710/10590931.pdf?arnumber=10590931

Reference26 articles.

1. Predictive Control for Linear and Hybrid Systems

2. MPC: Current practice and challenges

3. Traffic-light control in urban environment exploiting drivers’ reaction to the expected red lights duration

4. Traffic-Light Control at Urban Intersections Using Expected Waiting-Time Information

5. CHoKI-based MPC for blood glucose regulation in artificial Pancreas

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