Alternatives and similar repositories for KoopmanControl

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

• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆46Updated 4 years ago
• Pdbz199 / Koopman-RL-Old
  Data-driven Koopman control theory applied to reinforcement learning!
  ☆33Updated last year
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆40Updated 6 years ago
• baggiogi / data_driven_control
  ☆42Updated last year
• MilanKorda / KoopmanMPC
  ☆72Updated 7 years ago
• chennnnnyize-zz / Optimal-Control-via-Neural-Networks
  Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach
  ☆83Updated 6 years ago
• arbabiha / KoopmanMPC_for_flowcontrol
  A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control
  ☆146Updated 5 years ago
• umenberger / robust-deepc
  Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020
  ☆21Updated 5 years ago
• EthanJamesLew / AutoKoopman
  AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
  ☆76Updated last year
• eurika-kaiser / KRONIC
  Koopman Reduced-Order Nonlinear Identification and Control
  ☆90Updated 5 years ago
• pratyushkumar211 / industrial_nnmpc_2021
  Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."
  ☆17Updated 3 years ago
• dekovski / Koopman_Lyapunov
  Code for CDC2022 submission
  ☆11Updated 5 months ago
• rozenk30 / Quantitative-Comparison-of-RL-and-MPC
  Codes for "Quantitative Comparison of Reinforcement Learning and Data-driven Model Predictive Control for Chemical and Biological Process…
  ☆11Updated last year
• StanfordASL / rompc
  Reduced Order Model Predictive Control
  ☆24Updated 3 years ago
• Linbin-Huang / RoKDeePC
  code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"
  ☆17Updated last year
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆51Updated 5 years ago
• urban-fasel / SEIR_SINDY_MPC
  ☆45Updated 3 years ago
• sabean / Koopman
  Learning dynamical systems from data: Koopman
  ☆16Updated 5 years ago
• Cafolkes / keedmd
  Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…
  ☆28Updated 2 years ago
• ManshaP / KoopmanNets
  project for my essay on how to use neural networks to linearise nonlinear dynamical systems
  ☆9Updated 4 years ago
• giorgosmamakoukas / MemoryEfficientStableLDS
  Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"
  ☆24Updated 4 years ago
• HildoBijl / GPRT
  Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
  ☆71Updated 8 years ago
• zhou-yh19 / redpc
  Learning-Based Efficient Approximation of Data-Enabled Predictive Control
  ☆14Updated last year
• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆26Updated 2 years ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆39Updated 5 years ago
• tony23545 / DeepKoopman
  Use deep learning to learn Koopman operator and LQR for optimal control
  ☆16Updated 4 years ago
• Cafolkes / koopman_learning_and_control
  Repository for Koopman based learning and nonlinear control
  ☆45Updated 2 years ago
• YunzhuLi / CompositionalKoopmanOperators
  [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control
  ☆90Updated 4 years ago
• liuzuxin / Deep-Q-Network-and-Model-Predictive-Control-Project
  Implementation of Deep Q-Network（DQN）and Model Predictive Control, and their evaluation on the Quanser robot platform
  ☆15Updated 4 years ago
• bruderd / KoopmanMPC_sysid
  All the code needed to learn models from data using Koopman operator approach.
  ☆11Updated 6 years ago