Alternatives and similar repositories for KoopmanMPC_Quadrotor

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

• shiivashaakeri / Data-Driven-Model-Predictive-Control-MPC-with-Stability-and-Robustness-Guarantees
  J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…
  ☆70Updated last year
• ZehuaJia / Tube-based-MPC-for-nonlinear-systems
  The reproduction of tube-based MPC for nonlinear systems
  ☆50Updated last year
• rui-huang-opt / tmpc
  A rigid-tube based robust MPC python package.
  ☆62Updated 6 months ago
• jbreeden-um / phd-code
  ☆49Updated last year
• JPanThiago / Mission-Oriented-Controller-AutoGen
  Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"
  ☆14Updated last year
• wenjianhao / Deep-Koopman-learning-of-nonlinear-time-varying-systems
  ☆16Updated last year
• lucattycord / uav-tube-mpc
  ☆32Updated 5 years ago
• buntonj / CLF-CBF-QP
  Matlab class/functions to simulate a system implementing a control Lyapunov-control barrier function quadratic program controller.
  ☆47Updated 2 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
• roahmlab / koopman-realizations
  Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.
  ☆26Updated 4 years ago
• Cafolkes / koopman-cbf
  ☆19Updated 4 years ago
• boranzhao / robust_ccm_tube
  Tube-certified nonlinear tracking with robust control contraction metrics
  ☆27Updated 2 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
• aalanwar / Data-Driven-Predictive-Control
  Data-Driven Predictive Control
  ☆77Updated last year
• Cafolkes / koopman_learning_and_control
  Repository for Koopman based learning and nonlinear control
  ☆49Updated 2 years ago
• Zheng-Meng / Tracking-Control
  Published in Nature Communications: Model-free tracking control of complex dynamical trajectories with machine learning.
  ☆30Updated last year
• bruderd / KoopmanMPC_sysid
  All the code needed to learn models from data using Koopman operator approach.
  ☆12Updated 6 years ago
• Safe-Autonomy-and-Intelligence-Lab / learning-based-rigid-tube-rmpc
  This is the MATLAB code for tube robust MPC with uncertainty quantification
  ☆45Updated last year
• ACIPL / MPC4AMVs
  Code for the book
  ☆77Updated 2 years ago
• yemam3 / robustCBFs-GP
  Matlab Code base for T-RO 20 paper on robust Control Barrier Functions (CBFs) with Gaussian Process Regression for estimating the disturb…
  ☆17Updated 3 years ago
• Rajpal9 / Adaptive-koopman
  A repository for an online adaptive Koopman algorithm
  ☆21Updated 3 months ago
• HybridRobotics / CBF-Pointwise-Feasibility
  "Safety-Critical Control using Optimal-decay Control Barrier Functions with Guaranteed Point-wise Feasibility" by J. Zeng, B. Zhang, Z. L…
  ☆31Updated 4 years ago
• girgirya / https---girishc-gitlab.engr.illinois.edu-girishc-adaptive-control
  Matlab software, papers, and presentations relating to concurrent learning and gaussian process MRAC
  ☆21Updated 8 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
• Vrushabh27 / Neural-Koopman-Lyapunov-Control
  Neural Koopman Lyapunov Control
  ☆25Updated 2 years ago
• ShaoruChen / Polytopic-SLSMPC
  Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.
  ☆29Updated last year
• StefanoGioia / Data-Enabled-Predictive-Control-DeePC-implementation
  ☆14Updated 5 years ago
• brianwade1 / actor_critic_quadcopter
  Advantage Actor-Critic (A2C) reinforcement learning agent used to control the motor speeds on a quadcopter in order to keep the quadcopte…
  ☆25Updated 3 years ago
• XueYifan1995 / UMV-HLAR
  ☆14Updated last year
• MichaelMillerCSU / Koopman-online-updated-MPC
  ☆14Updated last year