hilo-mpc / hilo-mpcLinks
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
☆191Updated last week
Alternatives and similar repositories for hilo-mpc
Users that are interested in hilo-mpc are comparing it to the libraries listed below
Sorting:
- Use PyTorch Models with CasADi and Acados☆241Updated 2 years ago
- MPC with Gaussian Process☆230Updated 6 years ago
- A Model Predictive Control (MPC) Python library based on the OSQP solver.☆228Updated 4 years ago
- Github Mirror of https://gitlab.mech.kuleuven.be/meco-software/rockit☆57Updated 9 months ago
- ☆104Updated 3 weeks ago
- Neural Networks with CasADi☆11Updated 9 months ago
- A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…☆180Updated 2 years ago
- Hamilton-Jacobi reachability analysis in JAX.☆160Updated last year
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆172Updated 7 months ago
- Minimal package for operations on polytopes, zonotopes, and invariant sets.☆48Updated 5 years ago
- Optimizing Dynamic Programming-Based Algorithms☆128Updated 4 months ago
- ☆62Updated 2 months ago
- Economic tuning of tracking (N)MPC problems.☆41Updated 7 months ago
- Automatic Tuning for Data-driven Model Predictive Control☆72Updated 2 years ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆63Updated 9 months ago
- ☆90Updated 2 years ago
- Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.☆542Updated 7 months ago
- Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.☆53Updated 8 months ago
- Adaptive control-oriented meta-learning for nonlinear systems☆70Updated 4 years ago
- Soure code for Deep Koopman with Control☆102Updated 3 years ago
- Advanced Model Predictive Control in Python☆21Updated 6 months ago
- Model-based Control using Koopman Operators☆57Updated 5 years ago
- Transforms your CasADi functions into batchable JAX-compatible functions. By combining the power of CasADi with the flexibility of JAX, J…☆172Updated 10 months ago
- Real-time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms☆253Updated 9 months ago
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆55Updated 3 months ago
- ☆47Updated 8 months ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 5 years ago
- ☆77Updated last year
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆71Updated 3 years ago
- This repo collets few LMPC examples coded in Python☆85Updated last year