Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
☆170Oct 28, 2025Updated 8 months ago
Alternatives and similar repositories for DataDrivenDynSyst
Users that are interested in DataDrivenDynSyst are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- SIMBa☆14Feb 14, 2025Updated last year
- This repository contains lecture notes and codes for the course "Computational Methods for Data Science"☆55Mar 18, 2021Updated 5 years ago
- RobustStabilityGuaranteeRL☆10Aug 22, 2019Updated 6 years ago
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆13Dec 17, 2019Updated 6 years ago
- ☆10Mar 8, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆30Sep 6, 2021Updated 4 years ago
- This repository contains the data set and simulation files of the paper "Sufficient conditions for robust frequency stability of ac power…☆11Dec 22, 2020Updated 5 years ago
- Codes for "Quantitative Comparison of Reinforcement Learning and Data-driven Model Predictive Control for Chemical and Biological Process…☆12Dec 18, 2023Updated 2 years ago
- ☆11Dec 7, 2021Updated 4 years ago
- Compressive dynamic mode decomposition with control for compressive system identification☆41Dec 30, 2017Updated 8 years ago
- ☆13Jun 16, 2026Updated 3 weeks ago
- Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal S…☆11Jul 9, 2024Updated 2 years ago
- ☆11Feb 27, 2025Updated last year
- A discrete Nash equilibrium seeking algorithm for multi-agent systems☆10Jan 20, 2026Updated 5 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆16Mar 8, 2022Updated 4 years ago
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- A collection of free online materials for control engineering☆21Feb 4, 2025Updated last year
- Code for "Learning Local Control Barrier Functions for Safety Control of Hybrid Systems"☆14Jan 29, 2024Updated 2 years ago
- [L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆27Sep 9, 2025Updated 10 months ago
- This notebook is related to the paper: Machine learning in physics: a short guide, to appear on Europhysics Letters (EPL).