Learning-based Adaptive-Scenario-Tree Model Predictive Control with Probabilistic Safety Guarantees Using Bayesian Neural Networks
Author:
Affiliation:
1. University of Georgia,School of Electrical and Computer Engineering,Athens,GA,USA,30602
2. University of California,Department of Chemical and Biomolecular Engineering,Berkeley,CA,USA,94720
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867798.pdf?arnumber=9867798
Reference22 articles.
1. Cautious Model Predictive Control Using Gaussian Process Regression
2. Safe Learning-based Model Predictive Control under State- and Input-dependent Uncertainty using Scenario Trees
3. Learning-based Nonlinear Model Predictive Control to Improve Vision-based Mobile Robot Path Tracking
4. When Gaussian Process Meets Big Data: A Review of Scalable GPs
5. Epistemic Uncertainty Quantification in State-Space LPV Model Identification Using Bayesian Neural Networks
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