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
  ☆126Updated 3 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…
  ☆61Updated last year
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆60Updated 3 years ago
• HaojieSHI98 / DeepKoopmanWithControl
  Soure code for Deep Koopman with Control
  ☆69Updated 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…
  ☆70Updated 2 years ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆61Updated last year
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆51Updated 4 years ago
• oxford-oxcav / fossil
  ☆17Updated last month
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆52Updated 3 years ago
• HJReachability / helperOC
  ☆84Updated last year
• SFU-MARS / optimized_dp
  Optimizing Dynamic Programming-Based Algorithms
  ☆108Updated last week
• 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…
  ☆166Updated last year
• StanfordASL / hj_reachability
  Hamilton-Jacobi reachability analysis in JAX.
  ☆122Updated 3 months ago
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆90Updated 4 years ago
• StanfordASL / AA203-Homework
  Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.
  ☆23Updated 8 months ago
• Verified-Intelligence / Lyapunov_Stable_NN_Controllers
  Lyapunov-stable Neural Control for State and Output Feedback
  ☆61Updated 7 months ago
• MIT-REALM / neural_clbf
  Toolkit for learning controllers based on robust control Lyapunov barrier functions
  ☆146Updated 7 months ago
• ferreirafabio / mppi_pendulum
  The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…
  ☆92Updated 5 years ago
• i-abr / active-learning-koopman
  ☆22Updated 3 years ago
• yiwenlu66 / learning-qp
  ☆46Updated last month
• smlbansal / deepreach
  ☆69Updated 3 months ago
• sundw2014 / C3M
  Learning Certified Control Using Contraction Metric (CoRL 2020)
  ☆31Updated 2 years ago
• leggedrobotics / MPC-Net
  Accompanying code for the publication "MPC-Net: A First Principles Guided Policy Search"
  ☆89Updated 4 years ago
• hocherie / cbf_quadrotor
  Control Barrier Functions for Quadrotors, standalone with dynamics simulator, nominal controllers.
  ☆59Updated 2 years ago
• Weixy21 / BarrierNet
  Safe robot learning
  ☆81Updated 2 months ago
• neu-autonomy / nfl_veripy
  Formal Verification of Neural Feedback Loops (NFLs)
  ☆78Updated 5 months ago
• GuanyaShi / neural_lander_sim_1d
  A simple 1d simulator for the "Neural-Lander" paper, ICRA 2019
  ☆15Updated last year
• TUM-AAS / ml-casadi
  Use PyTorch Models with CasADi and Acados
  ☆211Updated last year
• vincekurtz / stlpy
  A python library for control from Signal Temporal Logic (STL) specifications
  ☆39Updated 2 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆54Updated 3 years ago