Alternatives and similar repositories for lyapy

Users that are interested in lyapy are comparing it to the libraries listed below

• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆70Updated 4 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆55Updated 4 years ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆39Updated 6 years ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 5 years ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆58Updated 4 years ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆57Updated 5 years ago
• modestyachts / robust-adaptive-lqr
  Implementation of robust adaptive control methods for the linear quadratic regulator
  ☆38Updated 4 years ago
• giorgosmamakoukas / MemoryEfficientStableLDS
  Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"
  ☆24Updated 5 years ago
• i-abr / active-learning-koopman
  ☆27Updated 4 years ago
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆89Updated 5 years ago
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆139Updated 4 years ago
• rkcosner / cyberpod_sim_ros
  Segway Simulation Environment
  ☆11Updated 4 years ago
• anassinator / pddp
  WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
  ☆15Updated last year
• unstable-zeros / learning-cbfs
  Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…
  ☆73Updated 2 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago
• HJReachability / safety_rl
  ☆30Updated 4 years ago
• mayataka / maafa
  A PyTorch implementation of MPC as a Function Approximator
  ☆19Updated 4 years ago
• StanfordASL / AA203-Examples
  Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
  ☆53Updated 7 months ago
• StanfordASL / AA203-Homework
  Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.
  ☆27Updated 6 months ago
• StanfordASL / CoCo
  ☆38Updated 2 years ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆71Updated 2 years ago
• ossamaAhmed / blackbox_mpc
  Sampling based Model Predictive Control package for Model-Based RL research
  ☆56Updated 5 years ago
• sundw2014 / C3M
  Learning Certified Control Using Contraction Metric (CoRL 2020)
  ☆32Updated 3 years ago
• ajthor / socks
  Stochastic Optimal Control and Reachability Toolbox Written in Python
  ☆15Updated 2 years ago
• wanxinjin / Safe-PDP
  Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…
  ☆71Updated 3 years ago
• Cafolkes / koopman_learning_and_control
  Repository for Koopman based learning and nonlinear control
  ☆51Updated 3 years ago
• neu-autonomy / nfl_veripy
  Formal Verification of Neural Feedback Loops (NFLs)
  ☆82Updated last year
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• TBeckers / CTC_GPR
  Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems
  ☆13Updated 6 years ago
• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆39Updated last year