Skip to content
#

optimal-control

Star

Here are 221 public repositories matching this topic...

Language: All
Filter by language
All 221 Python 54 MATLAB 42 C++ 38 Jupyter Notebook 23 Julia 21 C 8 HTML 5 TeX 5 Makefile 2 Mathematica 2
Sort: Best match
Sort options
Best match Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

casadi / casadi

Star 997

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.

python c-plus-plus library modular optimization matlab mathematics nonlinear octave numerical-calculations scientific-computing derivatives code-generation parameter-estimation academic-project optimal-control symbolic-manipulation algorithmic-differentation nonlinear-programming
  • Updated Jun 9, 2022
  • C++
optimization-engine

alphaville / optimization-engine

Star 255
Open

Compiler warnings for generated code

1
michael-p
michael-p commented Apr 14, 2022

Dear all,

This isn't really a bug, more like a small annoyance, but given the superb quality of this crate I figured I'd report it anyway... :)

On recent nightly (rustc 1.62.0-nightly (34a6c9f26 2022-04-13)), the generated code produces a compiler warning:

warning: unused doc comment
  --> crates/blimp_mpc/path_follow/icasadi_path_follow/src/lib.rs:33:1
   |
33 |   /// C interface (
Read more
good first issue

RLGC-Project / RLGC

Star 73
Open

Cannot test codes due to outdated documentation

3
ayansengupta17
ayansengupta17 commented Nov 12, 2020

Documentation for running codes:

source activate
cd RLGC/src/py
python trainIEEE39LoadSheddingAgent_discrete_action.py

Problems and custom fixes:

  1. There is no file folder src/ as py/
  2. I found "trainIEEE39LoadSheddingAgent_discrete_action.py " under examples/IEEE39_load_shedding
  3. Running the file "trainIEEE39LoadSheddingAgent_discrete_action.py" throws import
Read more
help wanted good first issue question

wanxinjin / Pontryagin-Differentiable-Programming

Star 65

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

reinforcement-learning machine-learning-algorithms motion-planning dynamical-systems control-systems trajectory-optimization optimal-control system-identification imitation-learning inverse-reinforcement-learning end-to-end-learning differentiable-programming reinforcement-learning-environments learning-control pontryagin-maximum-principle
  • Updated Jun 30, 2022
  • Python

Improve this page

Add a description, image, and links to the optimal-control topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the optimal-control topic, visit your repo's landing page and select "manage topics."

Learn more