On the Use of Gradient-Based Solver and Deep Learning Approach in Hierarchical Control: Application to Grand Refrigerators
Author:
Affiliation:
1. CNRS, Univ. Grenoble Alpes, Grenoble, France
2. IRIG-DSBT, Univ. Grenoble Alpes, Grenoble, France
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Information Systems,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/01969722.2023.2247264
Reference13 articles.
1. Fixed-point based hierarchical MPC control design for a cryogenic refrigerator
2. Toward Safe Dose Delivery in Plasma Medicine using Projected Neural Network-based Fast Approximate NMPC
3. Deep Learning-based Approximate Nonlinear Model Predictive Control with Offset-free Tracking for Embedded Applications
4. CasADi: a software framework for nonlinear optimization and optimal control
5. Simcryogenics: a Library to Simulate and Optimize Cryoplant and Cryodistribution Dynamics
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