Online learning constrained model predictive control based on double prediction

DOI10.1002/rnc.5124zbMath1527.93112OpenAlexW3084433426MaRDI QIDQ6060776

David Muñoz de la Peña, José María Manzano, Daniel Limon, Jan-P. Calliess

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://idus.us.es/handle//11441/137035

zbMATH Keywords

robust controldata-based controlnonlinear MPClearning-based MPC

Mathematics Subject Classification ID

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

Cites Work

• Provably safe and robust learning-based model predictive control
• Set membership identification of nonlinear systems
• Robust learning-based MPC for nonlinear constrained systems
• Interpolation of Lipschitz functions
• Nonlinear model predictive control from data: a set membership approach
• Optimal method of constructing best uniform approximations for functions of a certain class
• Model‐based vs data‐driven adaptive control: An overview
• Predictive control of a water distribution system based on process historian data
• A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems
• On the stability of constrained MPC without terminal constraint

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