The results presented in this dissertation originate from our objective of implementing model
predictive control (MPC) in programmable logic controllers (PLC), which are the most widely …

Programmable logic controllers (PLC) are by far the most common hardware used in
industry for process automation. As observed in many electronic devices, in the recent years …

Model Predictive Control or MPC is an advanced, high-performing constraint-aware
controller that requires considerable computational demands of the internal constrained …

How to efficiently implement Model Predictive Control (MPC) in embedded systems is a topic
that is attracting a lot of research recently, due to its impact in practical applications …

This Ph. D. dissertation contains results in two different but related fields: the implementation
of model predictive control (MPC) in embedded systems using first order methods, and …

Explicit Model Predictive Control (MPC) is an attractive control strategy, especially when one
aims at a fast, computationally less demanding implementation of MPC. However the major …

Abstract Linear Model Predictive Controllers (MPC) have been used in the chemical process
industry for over forty years. They are currently implemented in a growing number of …

Model Predictive Control (MPC) is an advanced control method that makes it possible to
effectively control Multiple-Input Multiple-Output (MIMO) processes subject to different types …

In this article, we present an implementation of a low-memory footprint model predictive
control (MPC)-based controller in programmable logic controllers (PLCs). Automatic code …

The industrial implementation of the model predictive control (MPC) is driven by the
necessity to design, tune, and validate the constructed control policy. We present a novel …