Alternatives and similar repositories for MemoryEfficientStableLDS

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

• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆51Updated 5 years ago
• Cafolkes / koopman_learning_and_control
  Repository for Koopman based learning and nonlinear control
  ☆49Updated 2 years ago
• MilanKorda / KoopmanMPC
  ☆73Updated 7 years ago
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆89Updated 4 years ago
• Vrushabh27 / Neural-Koopman-Lyapunov-Control
  Neural Koopman Lyapunov Control
  ☆25Updated 2 years ago
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆65Updated 4 years ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆39Updated 5 years ago
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆134Updated 4 years ago
• i-abr / active-learning-koopman
  ☆24Updated 4 years ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆67Updated 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).
  ☆61Updated 2 years ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆28Updated 2 years ago
• bevanda / MPPIControl
  Stochastic Optimal Control in Robotics Project
  ☆18Updated 6 years ago
• vdorobantu / lyapy
  Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.
  ☆41Updated 2 years ago
• forgi86 / sysid-neural-continuous
  Continuous-time system identification with neural networks
  ☆26Updated 3 weeks ago
• monimoyb / RMPCPy
  Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.
  ☆27Updated 3 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆47Updated 4 years 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…
  ☆70Updated last year
• fmesserer / ofsmpc
  A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints
  ☆14Updated last year
• aalanwar / Data-Driven-Reachability-Analysis
  Data Driven Reachability Analysis from Noisy Data
  ☆29Updated last year
• Verified-Intelligence / Lyapunov_Stable_NN_Controllers
  Lyapunov-stable Neural Control for State and Output Feedback
  ☆72Updated last year
• Cafolkes / koopman-cbf
  ☆19Updated 4 years ago
• urosolia / LMPC
  This repo collets few LMPC examples coded in Python
  ☆83Updated last year
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 4 years ago
• boranzhao / robust_ccm_tube
  Tube-certified nonlinear tracking with robust control contraction metrics
  ☆26Updated last year
• AstroHiro / ncm
  Codes for designing Neural Contraction Metrics (NCMs)
  ☆34Updated 5 years ago
• arbabiha / KoopmanMPC_for_flowcontrol
  A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control
  ☆148Updated 5 years ago
• StanfordASL / neural-network-lyapunov
  Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.
  ☆165Updated 2 months ago
• 4flixt / DeePC_Perspective
  Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".
  ☆23Updated 2 years ago
• pnnl / deps_arXiv2020
  Differentiable predictive control (DPC) policy optimization examples.
  ☆55Updated last year