Stochastic Model Predictive Control Utilizing Bayesian Neural Networks
Author:
Affiliation:
1. Technical University of Darmstadt,Control and Cyber-Physical Systems Laboratory
2. Yokogawa Insilico Biotechnology GmbH,Stuttgart
3. Humboldt-Universität zu Berlin
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10155646/10155787/10156115.pdf?arnumber=10156115
Reference26 articles.
1. Hands-On Bayesian Neural Networks—A Tutorial for Deep Learning Users
2. Learning-based Adaptive-Scenario-Tree Model Predictive Control with Probabilistic Safety Guarantees Using Bayesian Neural Networks
3. Bayesian Neural Network Modeling and Hierarchical MPC for a Tendon-Driven Surgical Robot With Uncertainty Minimization
4. Efficient and Simple Gaussian Process Supported Stochastic Model Predictive Control for Bioreactors using HILO-MPC
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1. Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems;2024 IEEE Conference on Control Technology and Applications (CCTA);2024-08-21
2. Zero-order optimization for Gaussian process-based model predictive control;European Journal of Control;2023-11
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