This study presents a novel programmable logic controller (PLC) implementation of a
constrained predictive control (MPC) algorithm based on Laguerre functions and multi …

This paper describes the model predictive control (MPC) in terms of an explicit controller
without on-line optimization problem solving and its implementation in the programmable …

Multi-parametric quadratic programming (mp-QP) is an alternative means of implementing
conventional predictive control algorithms whereby one transfers much of the computational …

The prime aim of this paper is to embed a predictive control (MPC) algorithm with constraint
handling capabilities into a programmable logic controller (PLC). In order to achieve it, this …

Model predictive control (MPC) has been widely applied in various industrial plants, which
are relatively slow processes. MPC application for faster processes is usually limited with the …

Multi-parameteric quadratic programming (MPQP) gives a full offline solution to a time-
varying quadratic programming (QP) problem arising during constrained predictive control …

Over the last years, a number of publications were written about Model Predictive Control
(MPC) on industrial Programmable Logic Controllers (PLC). They focussed on explicit MPC …

Programmable logic controllers (PLCs) have the benefit of being able to withstand a variety
of environments while maintaining high reliability compared to computers and other …

Given the growing computational power of embedded controllers, the use of model
predictive control (MPC) strategies on this type of devices becomes more and more …

This work presents a tool for implementing Model Predictive Controllers (MPC) in
Programmable Logic Controllers (PLC). This tool is a Matlab library that automatically …