Alternatives and similar repositories for keedmd

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

• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆51Updated 5 years ago
• i-abr / active-learning-koopman
  ☆24Updated 4 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆47Updated 4 years ago
• MilanKorda / KoopmanMPC
  ☆73Updated 7 years ago
• giorgosmamakoukas / MemoryEfficientStableLDS
  Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"
  ☆24Updated 4 years ago
• eurika-kaiser / KRONIC
  Koopman Reduced-Order Nonlinear Identification and Control
  ☆90Updated 5 years ago
• Pdbz199 / Koopman-RL-Old
  Data-driven Koopman control theory applied to reinforcement learning!
  ☆33Updated last year
• Cafolkes / koopman_learning_and_control
  Repository for Koopman based learning and nonlinear control
  ☆49Updated 2 years ago
• learning-and-control / core
  Python simulation and hardware library for learning and control
  ☆20Updated 2 years ago
• EthanJamesLew / AutoKoopman
  AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
  ☆76Updated last year
• Jonas-Nicodemus / PINNs-based-MPC
  We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…
  ☆114Updated last year
• HaojieSHI98 / DeepKoopmanWithControl
  Soure code for Deep Koopman with Control
  ☆88Updated 3 years ago
• Eric-Bradford / UKF-SNMPC
  This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
  ☆59Updated 2 years ago
• arbabiha / KoopmanMPC_for_flowcontrol
  A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control
  ☆148Updated 5 years ago
• Vrushabh27 / Neural-Koopman-Lyapunov-Control
  Neural Koopman Lyapunov Control
  ☆25Updated 2 years ago
• pnnl / deps_arXiv2020
  Differentiable predictive control (DPC) policy optimization examples.
  ☆55Updated last year
• srl-ethz / DeSKO-Deep-Stochastic-Koopman-Operator
  ☆14Updated 5 months ago
• StanfordASL / rompc
  Reduced Order Model Predictive Control
  ☆26Updated 3 years ago
• Eric-Bradford / SDD-GP-MPC
  This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
  ☆61Updated 2 years ago
• eivindeb / gym-letMPC
  ☆16Updated 3 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 3 years ago
• TBeckers / CTC_GPR
  Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems
  ☆13Updated 5 years ago
• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆26Updated 2 years ago
• hanyoseob / matlab-koopman
  Koopman operator
  ☆27Updated 5 years ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 4 years ago
• tony23545 / DeepKoopman
  Use deep learning to learn Koopman operator and LQR for optimal control
  ☆16Updated 4 years ago
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆134Updated 4 years ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆28Updated 2 years ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆67Updated 2 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…
  ☆175Updated last year