Alternatives and similar repositories for koopman-mpc-comparison

Users that are interested in koopman-mpc-comparison are comparing it to the libraries listed below

• bruderd / KoopmanMPC_sysid
  All the code needed to learn models from data using Koopman operator approach.
  ☆12Updated 6 years ago
• jumlauft / Safe-Online-Learning-for-Gaussian-Processes
  The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…
  ☆48Updated 4 years ago
• ShaoruChen / Polytopic-SLSMPC
  Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.
  ☆29Updated last year
• RuikunZhou / Unknown_Neural_Lyapunov
  Neural Lyapunov control of unknown nonlinear systems with stability guarantees
  ☆15Updated 2 years ago
• nopaddleboat / Koopman_operator_predictive_control
  a repository of the codes related with the paper published in the journal paper (check the readme file).
  ☆19Updated 5 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).
  ☆65Updated 2 years ago
• hanyoseob / matlab-koopman
  Koopman operator
  ☆27Updated 5 years ago
• xinglongzhangnudt / Robust-Koopman-MPC
  ☆24Updated last year
• sriram-2502 / KoopmanMPC_AV
  This repo is for developing a Koopman operator based MPC for autonomous vehicles.
  ☆17Updated 2 years ago
• aalanwar / Data-Driven-Predictive-Control
  Data-Driven Predictive Control
  ☆77Updated last year
• Linbin-Huang / RoKDeePC
  code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"
  ☆17Updated 2 years ago
• roahmlab / koopman-realizations
  Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.
  ☆26Updated 4 years ago
• mathiasKorte / data_driven_MPC
  ☆15Updated 2 years ago
• JMoyalan / Koopman_based_data_driven_control
  This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation
  ☆12Updated last year
• Giapducnguyen / Robust-Tube-MPC
  This simulation file demonstrates a variant of Robust Tube MPC in which the initial nominal state is a decision variable. Theoretical ba…
  ☆17Updated last year
• CTCingithub / KoopmanMPC-Igor2018
  This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…
  ☆13Updated 2 years ago
• arbabiha / KoopmanMPC_for_flowcontrol
  A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control
  ☆151Updated 5 years ago
• rssalessio / TZDDPC
  Tube-Based Zonotopic Data Driven Predictive Control
  ☆10Updated 2 years ago
• boranzhao / robust_ccm_tube
  Tube-certified nonlinear tracking with robust control contraction metrics
  ☆27Updated 2 years ago
• umenberger / robust-deepc
  Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020
  ☆21Updated 5 years ago
• ZehuaJia / NMPC_Terminal_Region
  The nonlinear MPC scheme with guaranteed maximal terminal region based stability
  ☆10Updated 3 years ago
• StefanoGioia / Data-Enabled-Predictive-Control-DeePC-implementation
  ☆14Updated 5 years ago
• Safe-Autonomy-and-Intelligence-Lab / learning-based-rigid-tube-rmpc
  This is the MATLAB code for tube robust MPC with uncertainty quantification
  ☆46Updated last year
• monimoyb / RMPCPy
  Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.
  ☆27Updated 3 years ago
• Petrus1904 / HandbookLinearDPC
  A collection of code examples for different Data-driven Predictive Control algorithms applied to LTI systems.
  ☆19Updated last year
• wenjianhao / Deep-Koopman-learning-of-nonlinear-time-varying-systems
  ☆16Updated last year
• JPanThiago / Mission-Oriented-Controller-AutoGen
  Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"
  ☆14Updated 2 years ago
• fmesserer / ofsmpc
  A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints
  ☆14Updated last year
• iamKaiZhang / DeePC
  Data-enabled predictive control (DeePC) implementation using MATLAB
  ☆28Updated last year
• MilanKorda / KoopmanMPC
  ☆73Updated 7 years ago