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
MPC with Feed-forward Steady-State Target Optimization (SSTO)
Code for the paper "Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss".
Project for 16-745 Optimal Control and Reinforcement Learning at CMU
Optimized control of QUARC helicopter
Hybrid Deep MILP Planner (HD-MILP-Plan)
🚀 GPU-powered stochastic MPC for drinking water networks
This project solves linear-quadratic dynamic optimization (LQDO) problems using direct transcription (DT) and quadratic programming (QP)
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