Nonlinear learning‐based model predictive control supporting state and input dependent model uncertainty estimates

DOI10.1002/rnc.5688zbMath1527.93120OpenAlexW3185135432MaRDI QIDQ6082344

Melanie N. Zeilinger, Kim P. Wabersich

Publication date: 29 November 2023

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.5688

zbMATH Keywords

model predictive controlrobust control of nonlinear systemscontrol of constrained systemssafe learning-based control

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Nonlinear systems in control theory (93C10) Asymptotic stability in control theory (93D20) Model predictive control (93B45)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Provably safe and robust learning-based model predictive control
• Robust MPC via min-max differential inequalities
• On the S-procedure and some variants
• Adaptive model predictive control for a class of constrained linear systems based on the comparison model
• Adaptive model predictive control for constrained nonlinear systems
• Robust MPC with recursive model update
• Robust model predictive control of constrained linear systems with bounded disturbances
• Constrained optimal control of linear and hybrid systems
• Tube MPC scheme based on robust control invariant set with application to Lipschitz nonlinear systems
• Adaptive receding horizon control for constrained MIMO systems
• Interpolation of Lipschitz functions
• Tolerance regions for a multivariate normal population
• Robust adaptive MPC for constrained uncertain nonlinear systems
• Stochastic Model Predictive Control: An Overview and Perspectives for Future Research
• Linear Matrix Inequalities in System and Control Theory
• Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
• Invariant approximations of the minimal robust positively Invariant set
• A Computationally Efficient Robust Model Predictive Control Framework for Uncertain Nonlinear Systems
• The elements of statistical learning. Data mining, inference, and prediction

This page was built for publication: Nonlinear learning‐based model predictive control supporting state and input dependent model uncertainty estimates