This project solves linear-quadratic dynamic optimization (LQDO) problems using direct transcription (DT) and quadratic programming (QP)
-
Updated
Apr 26, 2024 - MATLAB
This project solves linear-quadratic dynamic optimization (LQDO) problems using direct transcription (DT) and quadratic programming (QP)
🚀 GPU-powered stochastic MPC for drinking water networks
Hybrid Deep MILP Planner (HD-MILP-Plan)
Project for 16-745 Optimal Control and Reinforcement Learning at CMU
Optimized control of QUARC helicopter
Code for the paper "Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss".
README.mdConfig files for my GitHub profile.
Andoka Cloud.mdConfig files for my GitHub profile.
Confidential Start Documentation, Forms, and Code Cloud Endoca Cloud Pro
MPC with Feed-forward Steady-State Target Optimization (SSTO)
Provides a simple guide on how to use dynamic optimization to optimize the state and input trajectory of linearly constrained LTI systems. This repo is meant to be used as a way of learning the concepts, and should not be used in a real control setting.
Optimization and Control Reading Group : slides, exercises and code
Various methods of numerical integration and problems of Mathematical Optimisation written in C-fashioned C++ and exhibited in model toy projects
Cloudflare’s documentation
Add a description, image, and links to the optimization-and-control topic page so that developers can more easily learn about it.
To associate your repository with the optimization-and-control topic, visit your repo's landing page and select "manage topics."