StanfordASL / SNDL
Stabilizable Nonlinear Dynamics Learning
☆20Updated 4 years ago
Related projects: ⓘ
- Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.☆37Updated last year
- ☆20Updated 3 years ago
- WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch☆15Updated last month
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆37Updated 4 years ago
- Implementation of robust adaptive control methods for the linear quadratic regulator☆36Updated 2 years ago
- Structured framework for learning mechanical systems in PyTorch☆23Updated 5 years ago
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆13Updated 10 months ago
- Simple optimal control framework for python☆13Updated 6 years ago
- ☆35Updated last year
- ☆47Updated 2 years ago
- Generate taylored code for Differential Dynamic Programming (DDP) aka Iterative Linear Quadratic Gaussian (iLQG) solvers for finite time …☆15Updated 6 years ago
- Model-based Control using Koopman Operators☆45Updated 4 years ago
- Iterative Linearized Control Toolbox☆34Updated last month
- Python simulation and hardware library for learning and control☆18Updated last year
- ☆17Updated 3 years ago
- Enforcing robust control guarantees within neural network policies☆52Updated 3 years ago
- ☆39Updated last year
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆20Updated 10 months ago
- Optimal Control Tutorials☆13Updated 4 years ago
- Learning Control Lyapunov Functions to Stabilize the Trajectories of Dynamical Systems.☆11Updated 2 years ago
- Google AI Princeton control framework☆38Updated 3 years ago
- ☆12Updated last year
- Adaptive control-oriented meta-learning for nonlinear systems☆53Updated 3 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆55Updated last year
- Stochastic Optimal Control and Reachability Toolbox Written in Python☆13Updated last year
- Differentiable Gaussian Process Motion Planning☆45Updated 3 years ago
- Monte Carlo Motion Planning: ISRR 2015 Code☆18Updated 8 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆22Updated 3 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆25Updated 2 years ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆30Updated last year