Model Predictive Control for Tracking Random References

Abstract: This is a simulation study on controlling a Kaibel distillation column with model predictive control (MPC).. A Kaibel distillation column has several advantages compared

This research contributes to the field by bringing a novel multiple UAVs solution to an exploration problem using Model Predictive Control where a finite time horizon grid search

The main goal of this thesis is to study existing robust Nonlinear Model Predictive Control (NMPC) approaches, specifically multi-stage NMPC and min-max NMPC, and design

• Solve the QP problem with the active set method, Lecture Notes Ch. Use MATLAB for the numerical calculations. Check your answer by using the MATLAB function quadprog for solving

We develop a model predictive control algorithm to control the system, and use a weighted Bayesian linear regression model to learn the least conservative sector condition

Index Terms — Diode Rectifier with Boost Converter, Model Predictive Con- trol, Ship Power System, Variable Speed Diesel Generator, Virtual Synchronous Machine.. The observer

Further, two energy management strategies were implemented in the developed microgrid simulation platform, namely a high-level optimization algorithm using MPC in combination with

By constraining the virtual control vector from the motion controller, they could perform unconstrained control allocation which was posed as an optimization problem.. The solution