Media Summary: PhD defence of Bartosz Prokop: During the defence Bartosz presented some results of his research where he focuses on 2025 USACM Novel Methods Fall Seminar Title: Interpretable The focus of this thesis is to control the lateral-directional motion of the fighter aircraft by using integral action based

Data Driven Model Identification In - Detailed Analysis & Overview

PhD defence of Bartosz Prokop: During the defence Bartosz presented some results of his research where he focuses on 2025 USACM Novel Methods Fall Seminar Title: Interpretable The focus of this thesis is to control the lateral-directional motion of the fighter aircraft by using integral action based This lecture provides an overview of modern Authors: Jimmy Gaspard Jean, Tung-Huan Su, Chuin-Shan Chen Abstract: Kirchdoerfer and Ortiz [1] introduced the Imagine a robot chef that understands complex dynamics like a pro, cuts your veggies flawlessly, and even handles broken ...

website: faculty.washington.edu/kutz This video highlights physics-informed machine learning architectures that allow for the ... Hosts: Sebastian Peitz - Oliver Wallscheid -

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Data-driven model identification in dynamical biological systems
Interpretable data-driven model discovery: dynamical systems, ROMs, and operators
Data-Driven Control: Linear System Identification
Data-Driven Model Discovery and Control of Lateral-Directional Fighter Aircraft Dynamics
Data-Driven Modeling for Scientists & Engineers (1/6): From measurements to models
System Identification: Regression Models
MMLDT CSET 2021, Local-convexity data-driven identification for materials data
IROS 2021- A Robust Data-Driven Approach for Dynamics Model Identification in Trajectory Planning
Safe Data-Driven Model Predictive Control of Systems With Complex Dynamics
CDC 2022 — Data-driven meets Geometric control
Data-driven model discovery:  Targeted use of deep neural networks for physics and engineering
Data-driven model predictive control using DMD (DS4DS 7.07)
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Data-driven model identification in dynamical biological systems

Data-driven model identification in dynamical biological systems

PhD defence of Bartosz Prokop: During the defence Bartosz presented some results of his research where he focuses on

Interpretable data-driven model discovery: dynamical systems, ROMs, and operators

Interpretable data-driven model discovery: dynamical systems, ROMs, and operators

2025 USACM Novel Methods Fall Seminar Title: Interpretable

Data-Driven Control: Linear System Identification

Data-Driven Control: Linear System Identification

Overview lecture on linear system

Data-Driven Model Discovery and Control of Lateral-Directional Fighter Aircraft Dynamics

Data-Driven Model Discovery and Control of Lateral-Directional Fighter Aircraft Dynamics

The focus of this thesis is to control the lateral-directional motion of the fighter aircraft by using integral action based

Data-Driven Modeling for Scientists & Engineers (1/6): From measurements to models

Data-Driven Modeling for Scientists & Engineers (1/6): From measurements to models

Unlock the power of

System Identification: Regression Models

System Identification: Regression Models

This lecture provides an overview of modern

MMLDT CSET 2021, Local-convexity data-driven identification for materials data

MMLDT CSET 2021, Local-convexity data-driven identification for materials data

Authors: Jimmy Gaspard Jean, Tung-Huan Su, Chuin-Shan Chen Abstract: Kirchdoerfer and Ortiz [1] introduced the

IROS 2021- A Robust Data-Driven Approach for Dynamics Model Identification in Trajectory Planning

IROS 2021- A Robust Data-Driven Approach for Dynamics Model Identification in Trajectory Planning

Abstract—In this paper, we propose a

Safe Data-Driven Model Predictive Control of Systems With Complex Dynamics

Safe Data-Driven Model Predictive Control of Systems With Complex Dynamics

Imagine a robot chef that understands complex dynamics like a pro, cuts your veggies flawlessly, and even handles broken ...

CDC 2022 — Data-driven meets Geometric control

CDC 2022 — Data-driven meets Geometric control

https://ieeexplore.ieee.org/document/9763859.

Data-driven model discovery:  Targeted use of deep neural networks for physics and engineering

Data-driven model discovery: Targeted use of deep neural networks for physics and engineering

website: faculty.washington.edu/kutz This video highlights physics-informed machine learning architectures that allow for the ...

Data-driven model predictive control using DMD (DS4DS 7.07)

Data-driven model predictive control using DMD (DS4DS 7.07)

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

M. Ortiz - Model Free Data Driven Computational Mechanics and III Analysis

M. Ortiz - Model Free Data Driven Computational Mechanics and III Analysis

Model