eurika-kaiser / SINDY-MPC
☆258Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for SINDY-MPC
- Koopman Reduced-Order Nonlinear Identification and Control☆83Updated 4 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆121Updated 4 years ago
- MPC with Gaussian Process☆201Updated 5 years ago
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆165Updated last year
- ☆41Updated 3 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆84Updated last year
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆89Updated 7 years ago
- ☆57Updated 6 years ago
- A Model Predictive Control (MPC) Python library based on the OSQP solver.☆193Updated 3 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆130Updated 3 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆60Updated last month
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆60Updated 4 years ago
- A package for computing data-driven approximations to the Koopman operator.☆313Updated 2 weeks ago
- Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.☆368Updated 4 years ago
- Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart☆181Updated 4 years ago
- This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is ba…☆341Updated 3 years ago
- Soure code for Deep Koopman with Control☆67Updated 2 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆58Updated 6 months ago
- Use PyTorch Models with CasADi and Acados☆200Updated last year
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆70Updated 7 years ago
- Imperial College London Optimal Control Software (ICLOCS)☆77Updated 9 months ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆20Updated 2 years ago
- A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…☆163Updated last year
- ☆267Updated 3 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆84Updated last year
- Systems Identification Package for PYthon☆274Updated last year
- Real-time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms☆165Updated last year
- Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.☆376Updated last month
- Example implementation for robust model predictive control using tube☆437Updated 3 years ago
- Model predictive control python toolbox☆1,004Updated last month