AleksandarHaber / Machine-Learning-of-Dynamical-Systems-using-Recurrent-Neural-Networks
This project deals with learning to reproduce the input-output behavior of state-space models using recurrent neural networks and the Keras machine learning toolbox.
☆30Updated this week
Alternatives and similar repositories for Machine-Learning-of-Dynamical-Systems-using-Recurrent-Neural-Networks:
Users that are interested in Machine-Learning-of-Dynamical-Systems-using-Recurrent-Neural-Networks are comparing it to the libraries listed below
- AleksandarHaber / Subspace-Identification-State-Space-System-Identification-of-Dynamical-Systems-and-Time-Series-☆44Updated this week
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆30Updated 2 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆88Updated 4 years ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆49Updated this week
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated 2 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆27Updated 2 years ago
- Reduced Order Model Predictive Control☆22Updated 3 years ago
- ☆41Updated 3 years ago
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆91Updated 7 years ago
- Koopman Mode Decomposition☆71Updated 7 years ago
- Compressive dynamic mode decomposition with control for compressive system identification☆39Updated 7 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆99Updated last year
- Companion code for Closed-Loop Koopman Operator Approximation☆16Updated last year
- Koopman operator identification library in Python, compatible with `scikit-learn`☆70Updated 4 months ago
- Learning Control Lyapunov Functions to Stabilize the Trajectories of Dynamical Systems.☆12Updated 2 years ago
- Python simulation and hardware library for learning and control☆20Updated last year
- Toolbox for system identification of nonlinear state space grey-box models using CasADi☆25Updated last year
- ☆11Updated last year
- Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.☆52Updated 10 months ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆54Updated last month
- Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dar…☆20Updated 3 years ago
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆44Updated 10 months ago
- ☆41Updated 7 years ago
- Differentiable predictive control (DPC) policy optimization examples.☆53Updated last year
- A general-purpose Python package for Koopman theory using deep learning.☆97Updated last month
- System identification in PyTorch☆24Updated 2 years ago
- Model-based Control using Koopman Operators☆52Updated 4 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆72Updated 10 months ago
- ☆23Updated 3 years ago
- Neural Extended Kalman Filters☆12Updated last year