Alternatives and similar repositories for Lyapunov_Stable_NN_Controllers

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

• StanfordASL / neural-network-lyapunov
  Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.
  ☆168Updated 4 months 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…
  ☆73Updated 2 years ago
• MIT-REALM / neural_clbf
  Toolkit for learning controllers based on robust control Lyapunov barrier functions
  ☆173Updated last year
• yiwenlu66 / learning-qp
  ☆60Updated 10 months 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
• HaojieSHI98 / DeepKoopmanWithControl
  Soure code for Deep Koopman with Control
  ☆90Updated 3 years ago
• tayalmanan28 / Safety-Critical-Controls
  Papers on Safety Critical Controls using Control Barrier Functions
  ☆43Updated 11 months ago
• Cafolkes / koopman_learning_and_control
  Repository for Koopman based learning and nonlinear control
  ☆49Updated 2 years ago
• oxford-oxcav / fossil
  ☆26Updated 10 months ago
• HJReachability / helperOC
  ☆89Updated 2 years ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆58Updated 3 years ago
• Weixy21 / BarrierNet
  Safe robot learning
  ☆97Updated 11 months ago
• sundw2014 / C3M
  Learning Certified Control Using Contraction Metric (CoRL 2020)
  ☆31Updated 2 years ago
• Berk-Tosun / cbf-cartpole
  Various Control Barrier Functions realized on cartpole.
  ☆25Updated last year
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆138Updated 4 years ago
• vincekurtz / stlpy
  A python library for control from Signal Temporal Logic (STL) specifications
  ☆49Updated 4 months ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆52Updated 5 years ago
• ZhaomingXie / CDDP
  constraint differential dynamical programming
  ☆28Updated 3 years ago
• MPC-Based-Reinforcement-Learning / mpc4rl
  ☆43Updated 5 months ago
• leap-c / leap-c
  ☆81Updated this week
• jbreeden-um / phd-code
  ☆51Updated last year
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆69Updated 2 years ago
• StanfordASL / hj_reachability
  Hamilton-Jacobi reachability analysis in JAX.
  ☆151Updated 11 months ago
• vvrs / MPPIController
  Robot Controls Course Project
  ☆62Updated 3 years ago
• UCSD-SASLab / refineCBF
  ☆23Updated last year
• StanfordASL / UP
  Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling
  ☆13Updated 4 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…
  ☆178Updated 2 years ago
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆69Updated 4 years ago
• sliu2019 / input_limit_cbf
  ☆17Updated 2 years ago
• TUM-AAS / ml-casadi
  Use PyTorch Models with CasADi and Acados
  ☆234Updated last year