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CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)
References on Optimal Control, Reinforcement Learning and Motion Planning
A modern Anki custom scheduling based on free spaced repetition scheduler algorithm
Updated
May 13, 2023
Jupyter Notebook
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Updated
Aug 23, 2021
Python
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
Differential Wheeled Mobile Robot - Nonlinear Model Predictive Control based on ROS
Fastest-lap is a vehicle dynamics simulator. It can be used to understand vehicle dynamics, to learn about driving techniques, to design car prototypes, or just for fun!
Updated
Feb 22, 2023
Jupyter Notebook
Optimal Control for Switched Systems
High-performance interior-point-method QP and QCQP solvers
Nonconvex embedded optimization: code generation for fast real-time optimization
Updated
Feb 14, 2023
Rust
Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.
Updated
May 24, 2020
MATLAB
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
Updated
Jun 21, 2022
Python
Stochastic Dual Dynamic Programming in Julia
Updated
May 14, 2023
Julia
Efficient optimal control solvers for robotic systems.
An intuitive modeling interface for infinite-dimensional optimization problems.
Updated
May 11, 2023
Julia
Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle
Updated
Sep 23, 2020
Python
Using advanced control techniques in an easy way for embedded - No theory, only practice
Open Source Optimization of Dynamic Multidisciplinary Systems
Updated
May 12, 2023
Python
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