BR2 soft-continuum-arm vision-reconstruction tools
-
Updated
Jul 16, 2024 - Python
BR2 soft-continuum-arm vision-reconstruction tools
Cocofest is an optimal control python package for functional electrical stimulation models
Macros and functions to work with DSGE models.
A library for using direct collocation in the optimization of dynamic systems.
For the consolidation of my personal model predictive control (MPC) library. Example cases also given.
Common methods for quantum control packages
Julia implementation of Krotov's method for quantum optimal control
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
An intuitive modeling interface for infinite-dimensional optimization problems.
Gradient Ascent Pulse Engineering in Julia
This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation
nosnoc is an open source software package for NOnSmooth Numerical Optimal Control.
This code is written in Julia and provides a direct and indirect method for solving a water filtration problem with constraints for the control (Non linear problem) using an optimal control approach and more precisely the Pontryagin principle (PMP).
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.
An optimization framework that links CasADi, Ipopt, ACADOS and biorbd for Optimal Control Problem
Open Source Optimization of Dynamic Multidisciplinary Systems
Quantum Optimal Control with Direct Collocation
Optimal experimental design of ODE and DAE systems in julia
Optimal feedback control + interventions, in JAX.
Efficient Handling of Trajectories with User Defined Named Components
Add a description, image, and links to the optimal-control topic page so that developers can more easily learn about it.
To associate your repository with the optimal-control topic, visit your repo's landing page and select "manage topics."