Media Summary: Keynote Title: Autonomous Digital Twins for By Rebing Wu (Tsinghua University, China) Abstract: In the quest to achieve scalable quantum information processing ... Hosts: Sebastian Peitz - Oliver Wallscheid -

Data Driven Iterative Optimal Control - Detailed Analysis & Overview

Keynote Title: Autonomous Digital Twins for By Rebing Wu (Tsinghua University, China) Abstract: In the quest to achieve scalable quantum information processing ... Hosts: Sebastian Peitz - Oliver Wallscheid - Professor Anders Rantzer Department of Automatic 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: ...

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Data-Driven Iterative Optimal Control for Switched Dynamical Systems
Moritz Diehl: "Convexity Exploiting Newton-Type Optimization for Learning and Control"
Data-Driven Control: Overview
Nonlinear Control: Hamilton Jacobi Bellman (HJB) and Dynamic Programming
"Autonomous Digital Twins for Optimal Control of Discrete..." Prof. Andrea Matta (SIMULTECH 2025)
A Data-Driven Approach for Inverse Optimal Control - ArXiv:2304.00100
Data-driven gradient optimization for learning high-precision quantum control
Optimal control - Introduction (DS4DS 7.01)
Nonlinear Optimal Control for Large-scale and Adaptive Systems
A framework for data-driven control with guarantees: Analysis, MPC and robust control -- F. Allgöwer
IFAC TC on Optimal Control: Data-driven Methods in Control
Optimal Control (CMU 16-745) - Lecture 17: Iterative Learning Control
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Data-Driven Iterative Optimal Control for Switched Dynamical Systems

Data-Driven Iterative Optimal Control for Switched Dynamical Systems

This article presents a

Moritz Diehl: "Convexity Exploiting Newton-Type Optimization for Learning and Control"

Moritz Diehl: "Convexity Exploiting Newton-Type Optimization for Learning and Control"

Intersections between

Data-Driven Control: Overview

Data-Driven Control: Overview

Overview lecture for series on

Nonlinear Control: Hamilton Jacobi Bellman (HJB) and Dynamic Programming

Nonlinear Control: Hamilton Jacobi Bellman (HJB) and Dynamic Programming

This video discusses

"Autonomous Digital Twins for Optimal Control of Discrete..." Prof. Andrea Matta (SIMULTECH 2025)

"Autonomous Digital Twins for Optimal Control of Discrete..." Prof. Andrea Matta (SIMULTECH 2025)

Keynote Title: Autonomous Digital Twins for

A Data-Driven Approach for Inverse Optimal Control - ArXiv:2304.00100

A Data-Driven Approach for Inverse Optimal Control - ArXiv:2304.00100

Original paper: https://arxiv.org/abs/2304.00100 Title: A

Data-driven gradient optimization for learning high-precision quantum control

Data-driven gradient optimization for learning high-precision quantum control

By Rebing Wu (Tsinghua University, China) Abstract: In the quest to achieve scalable quantum information processing ...

Optimal control - Introduction (DS4DS 7.01)

Optimal control - Introduction (DS4DS 7.01)

Hosts: Sebastian Peitz - https://orcid.org/0000-0002-3389-793X Oliver Wallscheid - https://www.linkedin.com/in/wallscheid/ ...

Nonlinear Optimal Control for Large-scale and Adaptive Systems

Nonlinear Optimal Control for Large-scale and Adaptive Systems

Professor Anders Rantzer Department of Automatic

A framework for data-driven control with guarantees: Analysis, MPC and robust control -- F. Allgöwer

A framework for data-driven control with guarantees: Analysis, MPC and robust control -- F. Allgöwer

Lecture by Frank Allgöwer as part of the Summer School "Foundations and Mathematical Guarantees of

IFAC TC on Optimal Control: Data-driven Methods in Control

IFAC TC on Optimal Control: Data-driven Methods in Control

Organizers: Timm Faulwasser, TU Dortmund, Germany Thulasi Mylvaganam, Imperial College London, UK Date and Time: ...

Optimal Control (CMU 16-745) - Lecture 17: Iterative Learning Control

Optimal Control (CMU 16-745) - Lecture 17: Iterative Learning Control

Lecture 17 for

A General Framework for Optimal Data-Driven Optimization

A General Framework for Optimal Data-Driven Optimization

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