Alternatives and similar repositories for data-driven-sls:

Users that are interested in data-driven-sls are comparing it to the libraries listed below

• RuikunZhou / Unknown_Neural_Lyapunov
  Neural Lyapunov control of unknown nonlinear systems with stability guarantees
  ☆13Updated last year
• boranzhao / cbf-sos
  Synthesis of control barrier functions with SOS
  ☆12Updated last year
• 4flixt / DeePC_Perspective
  Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".
  ☆22Updated 2 years ago
• zhou-yh19 / redpc
  Learning-Based Efficient Approximation of Data-Enabled Predictive Control
  ☆11Updated 11 months ago
• OptiMaL-PSE-Lab / Data-driven-distributionally-robust-MPC
  ☆22Updated 3 years ago
• umenberger / robust-deepc
  Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020
  ☆20Updated 4 years ago
• fllseu / book-modeling-and-stability-analysis-of-IBRs
  codes and Simscape SPS models in the book
  ☆13Updated 5 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.
  ☆15Updated 7 years ago
• kul-optec / risk-averse
  Modeling framework for risk-constrained risk-averse optimal control problems (MATLAB toolbox)
  ☆10Updated 6 years ago
• pratyushkumar211 / industrial_nnmpc_2021
  Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."
  ☆17Updated 3 years ago
• dekovski / Koopman_Lyapunov
  Code for CDC2022 submission
  ☆11Updated last month
• yangyi02 / sequential_chance_constrained
  [OR 2011] Matlab code for Sequential Convex Approximations to Joint Chance Constrained Programs
  ☆17Updated 6 years ago
• rssalessio / PyZPC
  Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.
  ☆10Updated 2 years ago
• monimoyb / RMPCPy
  Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.
  ☆26Updated 2 years ago
• fmesserer / ofsmpc
  A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints
  ☆14Updated last year
• giorgosmamakoukas / MemoryEfficientStableLDS
  Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"
  ☆22Updated 4 years ago
• monimoyb / pd_polLearn
  Primal-Dual Policy Learning Simple Example
  ☆14Updated 3 years ago
• shuoyang2000 / neural_hybrid_cbf
  Code for "Learning Local Control Barrier Functions for Safety Control of Hybrid Systems"
  ☆12Updated last year
• martindoff / DC-TMPC
  DC-TMPC: A tube-based MPC algorithm for systems that can be expressed as a difference of convex functions.
  ☆16Updated 2 years ago
• spenrich / Learning-Control-Oriented-Structure
  Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …
  ☆14Updated last year
• ShaoruChen / NN-System-PSF
  Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.
  ☆11Updated last year
• Future-Power-Networks / Publications
  ☆22Updated last year
• michael-cummins / DeePC-Hunt
  Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.
  ☆16Updated 3 months ago
• alexe15 / ALADIN.m
  ☆38Updated last year
• aalanwar / Data-Driven-Reachability-Analysis
  Data Driven Reachability Analysis from Noisy Data
  ☆26Updated 11 months ago
• UCSD-SASLab / HopfReachability
  Julia package for computing Hamilton-Jacobi Reachability of optimal 2-player (control/disturbance) differential games via Hopf optimizati…
  ☆18Updated last week