Alternatives and similar repositories for hilo-mpc:

Users that are interested in hilo-mpc are comparing it to the libraries listed below

• TUM-AAS / ml-casadi
  Use PyTorch Models with CasADi and Acados
  ☆217Updated last year
• helgeanl / GP-MPC
  MPC with Gaussian Process
  ☆212Updated 5 years ago
• forgi86 / pyMPC
  A Model Predictive Control (MPC) Python library based on the OSQP solver.
  ☆210Updated 3 years ago
• meco-group / rockit
  Github Mirror of https://gitlab.mech.kuleuven.be/meco-software/rockit
  ☆51Updated last month
• FilippoAiraldi / casadi-neural-nets
  Neural Networks with CasADi
  ☆10Updated last month
• meco-group / fatrop
  Fatrop is a nonlinear optimal control problem solver that aims to be fast, support a broad class of optimal control problems and achieve …
  ☆196Updated last month
• lucasrm25 / Gaussian-Process-based-Model-Predictive-Control
  Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart
  ☆200Updated 4 years ago
• Tim-Salzmann / l4casadi
  Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
  ☆448Updated last month
• based-robotics / jaxadi
  Transforms your CasADi functions into batchable JAX-compatible functions. By combining the power of CasADi with the flexibility of JAX, J…
  ☆149Updated 2 months ago
• leap-c / leap-c
  ☆34Updated this week
• TUM-AAS / neural-mpc
  Real-time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms
  ☆199Updated last month
• bemporad / jax-sysid
  A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax
  ☆32Updated last month
• wanxinjin / Pontryagin-Differentiable-Programming
  A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…
  ☆173Updated last year
• chenyutao36 / MATMPC
  ☆71Updated last year
• Eric-Bradford / Nominal_NMPC
  A basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation
  ☆50Updated 4 years ago
• jdeschut / tunempc
  Economic tuning of tracking (N)MPC problems.
  ☆36Updated 2 years ago
• IntelligentControlSystems / l4acados
  ☆45Updated 2 months ago
• AleksandarHaber / Model-Predictive-Control-Implementation-in-Python-1
  Here, we post the codes that implement the Model Predictive Controller (MPC) for linear systems.
  ☆96Updated last month
• urosolia / LMPC
  This repo collets few LMPC examples coded in Python
  ☆83Updated 10 months ago
• rssalessio / PyDeePC
  Python library that implements DeePC: Data-Enabled Predictive Control
  ☆68Updated 6 months ago
• MPC-Based-Reinforcement-Learning / mpc4rl
  ☆33Updated 2 months ago
• eurika-kaiser / SINDY-MPC
  ☆271Updated 5 years ago
• jkoendev / optimal-control-literature-software
  List of literature and software for optimal control and numerical optimization.
  ☆74Updated 5 years ago
• MaartenSchoukens / deepSI
  Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)
  ☆54Updated 3 weeks ago
• SFU-MARS / optimized_dp
  Optimizing Dynamic Programming-Based Algorithms
  ☆114Updated last week
• AstroHiro / ncm
  Codes for designing Neural Contraction Metrics (NCMs)
  ☆32Updated 4 years ago
• mpopt / mpopt
  A pseudo-spectral collocation based multi-phase Optimal control problem solver
  ☆58Updated 10 months ago
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆62Updated 3 years ago
• nosnoc / nosnoc
  nosnoc is an open source software package for NOnSmooth Numerical Optimal Control.
  ☆62Updated 2 weeks ago
• HJReachability / helperOC
  ☆85Updated last year