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.
☆31Updated 3 weeks ago
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 3 weeks ago
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆30Updated 2 years ago
- ☆41Updated 3 years ago
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆44Updated 10 months ago
- Koopman Reduced-Order Nonlinear Identification and Control☆88Updated 5 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated 2 years ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆49Updated 2 weeks ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆73Updated 5 months ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆54Updated 2 weeks ago
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆94Updated 7 years ago
- Compressive dynamic mode decomposition with control for compressive system identification☆39Updated 7 years ago
- Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"☆22Updated last year
- Reduced Order Model Predictive Control☆22Updated 3 years ago
- In this toolbox you find a family of PBSID algorithms for LTI, LPV and other model structures.☆15Updated 7 years ago
- ☆11Updated last year
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆27Updated 2 years ago
- Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.☆52Updated last week
- Toolbox for system identification of nonlinear state space grey-box models using CasADi☆25Updated last year
- Companion code for Closed-Loop Koopman Operator Approximation☆16Updated last year
- Continuous-time system identification with neural networks☆25Updated 3 years ago
- Data-driven dynamical systems toolbox.☆74Updated last week
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆72Updated 7 years ago
- ☆41Updated 7 years ago
- ☆270Updated 4 years ago
- ☆24Updated 3 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆73Updated 11 months ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆51Updated 2 years ago
- Python simulation and hardware library for learning and control☆20Updated last year
- Model-based Control using Koopman Operators☆52Updated 4 years ago
- Control simulation of a mass-spring-damper system using a model-based reinforcement learning algorithm☆22Updated 4 years ago