mpc-controller

Differential Dynamic Programming (DDP) with automatic symbolic differentiation

Design of an optimal controller for a Multi-Input Multi-output non-linear dynamic system based on LQR, MPC and Minimum Phase implementation.

NeuralMPCX is a Python library for building and deploying Model Predictive Controllers with linear, nonlinear, and neural dynamics. The software interfaces CasADi and IPOPT to solve constrained optimal control problems with recurrent neural networks (RNN, LSTM) and state-space systems.

RL based Hierarchical Adaptive Weight Scheduling Model Predictive Control for High Speed Autonomous Racing

Model Predictive Climate Control for a Simulated Apartment Using Real Weather Data

This repo contains all the codes of my control systems simulations