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Steven Dahdah : Data-Driven Modelling and Control with the Koopman Operator
Data-driven MPC: From linear to nonlinear systems with guarantees
Connections between Optimization, Learning and Control: Past, Present and Future - Stephen Wright
Lecture 6, Spring 2022: Model Predictive Control; Multiagent and Autonomous Systems. ASU
Lecture 22: Stochastic control
F1Tenth L12 - Model Predictive Control
Stanford Seminar - Model Predictive Control of Hybrid Dynamical Systems
Data-Driven Control: Linear System Identification
Learning Stochastic Parametric Differentiable Predictive Control Policies
Model Predictive Control: The Impact of Computation on Control: The 4th Wook Hyun Kwon Lecture
Model predictive control for smart energy systems, Professor John Bagterp Jørgensen
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Last Updated: October 5, 2026
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S. Formentin, V. Breschi, and A. Chiuso French Identification Group - CT Identification SAGIP January 19th, 2023. Intersections between Control, Learning and Optimization 2020 "Learning-based Model Lecture by Frank Allgöwer as part of the Summer School "Foundations and Mathematical Guarantees of Organizers: Timm Faulwasser, TU Dortmund, Germany Thulasi Mylvaganam, Imperial College London, UK Date and Time: ... CIM-REPARTI Webinar presented by Steven Dahdah, DECAR Prof. Dr.-Ing. Frank Allgöwer, University of Stuttgart, Germany. Lecture by Stephen Wright as part of the Summer School "Foundations and Mathematical Guarantees of Slides, class notes, and related textbook material at web.mit.edu/dimitrib/www/RLbook.html Model Ricardo Sanfelice UC Santa Cruz November 8, 2019 Hybrid About: The problem of synthesizing But the year afterwards there's no doubt because he actually organized a short course on model CITIES has developed tools for short term (probabilistic) forecasting and
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