Alternatives and similar repositories for MemoryEfficientStableLDS

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

• MilanKorda / KoopmanMPC
  ☆74Updated 7 years ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆52Updated 5 years ago
• Cafolkes / koopman_learning_and_control
  Repository for Koopman based learning and nonlinear control
  ☆49Updated 2 years ago
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆88Updated 5 years ago
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆138Updated 4 years ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆39Updated 5 years ago
• Vrushabh27 / Neural-Koopman-Lyapunov-Control
  Neural Koopman Lyapunov Control
  ☆25Updated 2 years ago
• i-abr / active-learning-koopman
  ☆24Updated 4 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-Reachability-Analysis
  Data Driven Reachability Analysis from Noisy Data
  ☆33Updated last year
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆69Updated 2 years ago
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆69Updated 4 years ago
• vdorobantu / lyapy
  Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.
  ☆41Updated 2 years ago
• TBeckers / CTC_GPR
  Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems
  ☆13Updated 5 years ago
• forgi86 / sysid-neural-continuous
  Continuous-time system identification with neural networks
  ☆27Updated 3 months ago
• wanxinjin / Safe-PDP
  Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…
  ☆71Updated 3 years ago
• urosolia / LMPC_SimpleExample
  MATLAB LMPC implementation for a double integrator system
  ☆60Updated 4 years ago
• srl-ethz / DeSKO-Deep-Stochastic-Koopman-Operator
  ☆14Updated 8 months ago
• heirung / pytope
  Minimal package for operations on polytopes, zonotopes, and invariant sets.
  ☆47Updated 4 years ago
• bevanda / MPPIControl
  Stochastic Optimal Control in Robotics Project
  ☆21Updated 6 years ago
• 4flixt / DeePC_Perspective
  Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".
  ☆23Updated 3 years ago
• urosolia / LMPC
  This repo collets few LMPC examples coded in Python
  ☆84Updated last year
• 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…
  ☆73Updated 2 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆48Updated 4 years ago
• StanfordASL / neural-network-lyapunov
  Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.
  ☆168Updated 4 months ago
• helgeanl / GP-MPC
  MPC with Gaussian Process
  ☆224Updated 6 years ago
• monimoyb / RMPCPy
  Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.
  ☆26Updated 3 years ago
• Cafolkes / koopman-cbf
  ☆19Updated 4 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆55Updated 4 years ago
• fmesserer / ofsmpc
  A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints
  ☆14Updated 2 years ago