Alternatives and similar repositories for nmpyc

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

• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆67Updated 2 years ago
• meco-group / dynamic_optimization_inventory
  A curated list of solvers/software/frameworksrelevant for dynamic optimiation
  ☆32Updated last week
• Eric-Bradford / UKF-SNMPC
  This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
  ☆58Updated 2 years ago
• jdeschut / tunempc
  Economic tuning of tracking (N)MPC problems.
  ☆36Updated last month
• bjack205 / BilinearControl.jl
  ☆27Updated 2 years ago
• StanfordASL / AA203-Homework
  Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.
  ☆25Updated last month
• acxz / mppi
  A simple and extensible Octave/Matlab library for Model Predictive Path Integral control scheme.
  ☆16Updated 5 years ago
• StanfordASL / stochasticSCP
  Sequential Convex Programming For Non-Linear Stochastic Optimal Control
  ☆12Updated 2 years ago
• teguhSL / optimal_control_distribution
  Repository for computing the probability distribution of an optimal control problem
  ☆11Updated 3 years ago
• StanfordASL / AA203-Examples
  Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
  ☆51Updated 2 months ago
• decargroup / closed_loop_koopman
  Companion code for Closed-Loop Koopman Operator Approximation
  ☆16Updated last year
• StanfordASL / pmpc
  High-level Python Particle Sequential Convex Programming Model Predictive Control (SCP PMPC) interface
  ☆15Updated last year
• mayataka / maafa
  A PyTorch implementation of MPC as a Function Approximator
  ☆17Updated 3 years ago
• StanfordASL / ccscp
  Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization
  ☆28Updated 4 years ago
• aalanwar / Data-Driven-Reachability-Analysis
  Data Driven Reachability Analysis from Noisy Data
  ☆29Updated last year
• david0oo / fslp
  A prototypical implementation of the recently proposed feasible sequential linear programming algorithm.
  ☆16Updated last year
• learning-and-control / core
  Python simulation and hardware library for learning and control
  ☆20Updated 2 years ago
• FilippoAiraldi / casadi-neural-nets
  Neural Networks with CasADi
  ☆10Updated 3 months ago
• UCSD-SASLab / HopfReachability
  Julia package for computing Hamilton-Jacobi Reachability of optimal 2-player (control/disturbance) differential games via Hopf optimizati…
  ☆18Updated 3 months ago
• hilo-mpc / examples
  Examples for HILO-MPC
  ☆9Updated 3 years ago
• StanfordASL / CoCo
  ☆36Updated 2 years ago
• StanfordASL / Pigeon.jl
  MPC trajectory tracking + reachability-based collision avoidance for pairwise vehicle interactions
  ☆19Updated 4 years ago
• shn66 / LAMPOS
  LAMPOS, a strategy-based solution approach for mp-MILPs for real-time mixed-integer MPC with sub-optimality quantification
  ☆10Updated 2 years ago
• PREDICT-EPFL / evanqp
  EPFL Verifier for Approximate Neural Networks and QPs
  ☆9Updated last year
• StanfordMSL / RATiLQR.jl
  Nonlinear Distributionally-Robust MPC via Risk-Sensitive Optimal Control in Julia
  ☆21Updated 3 years ago
• StanfordASL / RiskAverseTrajOpt
  Risk-averse trajectory optimization
  ☆18Updated last year
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆64Updated 4 years ago
• lassepe / GameInference.jl
  Planning with inferred internal states of other players in general-sum differential games.
  ☆15Updated 3 years ago
• anassinator / pddp
  WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
  ☆15Updated 11 months ago
• forgi86 / efficient-calibration-embedded-MPC
  Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…
  ☆25Updated 4 years ago