learning-and-control / coreLinks
Python simulation and hardware library for learning and control
☆20Updated 2 years ago
Alternatives and similar repositories for core
Users that are interested in core are comparing it to the libraries listed below
Sorting:
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆15Updated last year
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆28Updated 2 years ago
- Model-based Control using Koopman Operators☆51Updated 5 years ago
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆25Updated last month
- Neural Koopman Lyapunov Control☆25Updated 2 years ago
- Guaranteed Sequential Trajectory Optimization (GuSTO), using sequential convex programming for trajectory optimization with strong theore…☆61Updated last year
- ☆24Updated 4 years ago
- Codes for designing Neural Contraction Metrics (NCMs)☆33Updated 4 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆64Updated 4 years ago
- Data Driven Reachability Analysis from Noisy Data☆28Updated last year
- Julia package for computing Hamilton-Jacobi Reachability of optimal 2-player (control/disturbance) differential games via Hopf optimizati…☆18Updated 3 months ago
- ☆27Updated 2 years ago
- Repository for Koopman based learning and nonlinear control☆43Updated 2 years ago
- ☆16Updated 3 years ago
- Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization☆28Updated 4 years ago
- Sequential Convex Programming For Non-Linear Stochastic Optimal Control☆12Updated 2 years ago
- MPC package for solving optimal control problems☆14Updated 2 weeks ago
- A PyTorch implementation of MPC as a Function Approximator☆17Updated 3 years ago
- Toolbox for Automated Controller Synthesis☆17Updated last year
- A simple and extensible Octave/Matlab library for Model Predictive Path Integral control scheme.☆16Updated 5 years ago
- Minimal package for operations on polytopes, zonotopes, and invariant sets.☆46Updated 4 years ago
- Economic tuning of tracking (N)MPC problems.☆36Updated last month
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆25Updated 4 years ago
- Library for High-Performance implementation of solvers for MPC.☆56Updated 4 years ago
- Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"☆28Updated 2 years ago
- A trajectory optimization algorithm that doesn't require dynamics derivatives☆36Updated 8 years ago
- Optimal Control Tutorials☆15Updated 4 years ago
- WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch☆15Updated 11 months ago