Learning‐based adaptive‐scenario‐tree model predictive control with improved probabilistic safety using robust Bayesian neural networks

DOI10.1002/rnc.6560OpenAlexW4312204961MaRDI QIDQ6190357

Yajie Bao, Javad Mohammadpour Velni, Unnamed Author, Ali Mesbah

Publication date: 6 February 2024

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.6560

zbMATH Keywords

Bayesian neural networksprobabilistic safetylearning-based predictive controlrobust model learning

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Model predictive control (93B45)

Cites Work

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• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• Generating Scenario Trees for Multistage Decision Problems
• Provably safe and robust learning-based model predictive control
• Regularisation of neural networks by enforcing Lipschitz continuity
• Stochastic Model Predictive Control: An Overview and Perspectives for Future Research
• Data-Driven Model Predictive Control With Stability and Robustness Guarantees
• Probabilistic Model Predictive Safety Certification for Learning-Based Control
• Advanced Lectures on Machine Learning

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