Alternatives and similar repositories for Learning-Control-Oriented-Structure

Users that are interested in Learning-Control-Oriented-Structure are comparing it to the libraries listed below

• boranzhao / cbf-sos
  Synthesis of control barrier functions with SOS
  ☆14Updated 2 years ago
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆67Updated 4 years ago
• UCSD-SASLab / HopfReachability
  Julia package for computing Hamilton-Jacobi Reachability of optimal 2-player (control/disturbance) differential games via Hopf optimizati…
  ☆20Updated last month
• pnnl / deps_arXiv2020
  Differentiable predictive control (DPC) policy optimization examples.
  ☆57Updated 2 years ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆39Updated 5 years ago
• StanfordASL / Learning-Control-Oriented-Structure
  Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …
  ☆22Updated last year
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆55Updated 4 years ago
• learning-and-control / core
  Python simulation and hardware library for learning and control
  ☆20Updated 2 years ago
• giorgosmamakoukas / MemoryEfficientStableLDS
  Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"
  ☆24Updated 4 years ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆52Updated 5 years ago
• rkcosner / cyberpod_sim_ros
  Segway Simulation Environment
  ☆11Updated 4 years ago
• unstable-zeros / data-driven-sls
  Code needed to reproduce the examples in "Data-driven System Level Synthesis" by Anton Xue and Nikolai Matni.
  ☆11Updated 3 years ago
• pratyushkumar211 / industrial_nnmpc_2021
  Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."
  ☆19Updated 3 years ago
• forgi86 / sysid-neural-continuous
  Continuous-time system identification with neural networks
  ☆27Updated 2 months ago
• oxford-oxcav / fossil
  ☆25Updated 9 months ago
• Vrushabh27 / Neural-Koopman-Lyapunov-Control
  Neural Koopman Lyapunov Control
  ☆25Updated 2 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆48Updated 4 years ago
• StanfordASL / CoCo
  ☆36Updated 2 years ago
• AstroHiro / ncm
  Codes for designing Neural Contraction Metrics (NCMs)
  ☆34Updated 5 years ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆68Updated 2 years ago
• oxfordcontrol / SOSTOOLS
  A free MATLAB toolbox for formulating and solving sums of squares (SOS) optimization programs
  ☆69Updated 3 months ago
• TUDelft-DataDrivenControl / Predictor-Based-Subspace-IDentification-toolbox
  In this toolbox you find a family of PBSID algorithms for LTI, LPV and other model structures.
  ☆16Updated 8 years ago
• heirung / pytope
  Minimal package for operations on polytopes, zonotopes, and invariant sets.
  ☆47Updated 4 years ago
• RuikunZhou / Unknown_Neural_Lyapunov
  Neural Lyapunov control of unknown nonlinear systems with stability guarantees
  ☆15Updated 2 years ago
• vdorobantu / lyapy
  Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.
  ☆41Updated 2 years ago
• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆27Updated 3 years ago
• adbuerger / pycombina
  pycombina - Solving binary approximation problems in Python
  ☆23Updated last year
• i-abr / active-learning-koopman
  ☆24Updated 4 years ago
• aalanwar / Data-Driven-Reachability-Analysis
  Data Driven Reachability Analysis from Noisy Data
  ☆31Updated last year
• osqp / osqp-matlab
  Matlab interface for OSQP
  ☆50Updated last week