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:
- Model-based Control using Koopman Operators☆51Updated 4 years ago
- ☆24Updated 4 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
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆15Updated last year
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆24Updated 2 weeks ago
- Data Driven Reachability Analysis from Noisy Data☆28Updated last year
- Adaptive control-oriented meta-learning for nonlinear systems☆63Updated 3 years ago
- Neural Koopman Lyapunov Control☆25Updated 2 years ago
- Codes for designing Neural Contraction Metrics (NCMs)☆33Updated 4 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆39Updated 5 years ago
- A PyTorch implementation of MPC as a Function Approximator☆17Updated 3 years ago
- Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"☆28Updated 2 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated 2 years ago
- ☆16Updated 3 years ago
- Repository for Koopman based learning and nonlinear control☆43Updated 2 years ago
- Companion code for Closed-Loop Koopman Operator Approximation☆16Updated last year
- Julia package for computing Hamilton-Jacobi Reachability of optimal 2-player (control/disturbance) differential games via Hopf optimizati…☆18Updated 2 months ago
- Automatic Tuning for Data-driven Model Predictive Control☆64Updated 2 years ago
- Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.☆52Updated last month
- Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization☆28Updated 4 years ago
- MPC package for solving optimal control problems☆14Updated 7 months ago
- Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems☆13Updated 5 years ago
- A curated list of solvers/software/frameworksrelevant for dynamic optimiation☆32Updated last week
- ☆60Updated 10 months ago
- Minimal package for operations on polytopes, zonotopes, and invariant sets.☆45Updated 4 years ago
- Learning Control Lyapunov Functions to Stabilize the Trajectories of Dynamical Systems.