Alternatives and similar repositories for neural-network-lyapunov:

Users that are interested in neural-network-lyapunov are comparing it to the libraries listed below

• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆123Updated 3 years ago
• SFU-MARS / optimized_dp
  Optimizing Dynamic Programming-Based Algorithms
  ☆108Updated 2 months ago
• MIT-REALM / neural_clbf
  Toolkit for learning controllers based on robust control Lyapunov barrier functions
  ☆142Updated 6 months ago
• HJReachability / helperOC
  ☆84Updated last year
• wanxinjin / Safe-PDP
  Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…
  ☆71Updated 2 years ago
• 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…
  ☆59Updated last year
• AstroHiro / ncm
  Codes for designing Neural Contraction Metrics (NCMs)
  ☆32Updated 4 years ago
• Verified-Intelligence / Lyapunov_Stable_NN_Controllers
  Lyapunov-stable Neural Control for State and Output Feedback
  ☆60Updated 6 months ago
• hocherie / cbf_quadrotor
  Control Barrier Functions for Quadrotors, standalone with dynamics simulator, nominal controllers.
  ☆58Updated 2 years ago
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆59Updated 3 years ago
• sundw2014 / C3M
  Learning Certified Control Using Contraction Metric (CoRL 2020)
  ☆31Updated 2 years ago
• bardhh / cbfkit
  Toolbox for Robotics Control
  ☆62Updated last month
• yemam3 / Mod-RL-RCBF
  ☆26Updated 2 years ago
• HaojieSHI98 / DeepKoopmanWithControl
  Soure code for Deep Koopman with Control
  ☆68Updated 2 years ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆60Updated last year
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆52Updated 3 years ago
• wanxinjin / Pontryagin-Differentiable-Programming
  A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…
  ☆164Updated last year
• smlbansal / deepreach
  ☆69Updated 2 months ago
• oxford-oxcav / fossil
  ☆16Updated 3 weeks ago
• yiwenlu66 / learning-qp
  ☆45Updated last month
• vincekurtz / stlpy
  A python library for control from Signal Temporal Logic (STL) specifications
  ☆39Updated 2 years ago
• KevinHuang8 / DATT
  Repo for paper DATT: Deep Adaptive Trajectory Tracking for Quadrotor Drones
  ☆46Updated 7 months ago
• StanfordASL / hj_reachability
  Hamilton-Jacobi reachability analysis in JAX.
  ☆119Updated 2 months ago
• StanfordASL / stlcg
  ☆63Updated 10 months ago
• tayalmanan28 / Safety-Critical-Controls
  Papers on Safety Critical Controls using Control Barrier Functions
  ☆30Updated 2 months ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆51Updated 4 years ago
• leggedrobotics / MPC-Net
  Accompanying code for the publication "MPC-Net: A First Principles Guided Policy Search"
  ☆88Updated 4 years ago
• Weixy21 / BarrierNet
  Safe robot learning
  ☆80Updated last month
• StanfordASL / AA203-Homework
  Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.
  ☆23Updated 7 months ago
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆90Updated 4 years ago