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 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 …

In this paper a novel implementation of a Generalized Predictive Controller (GPC) is
presented; specifically the paper discusses programming of MPC in an industrial …

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 paper makes two key contributions. First, it tackles the issue of the availability of
constrained predictive control for low-level control loops. Hence, it describes how the …

Solutions to constrained linear and hybrid model predictive control (MPC) can be explicitly
characterized in terms of piecewise linear (PWL) state feedback control. A PWL controller is …

In order to effectively control nonlinear and multivariable models, and to incorporate
constraints on system states, inputs and outputs (bounds, rate of change), a suitable …

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 …

The general solution to constrained linear and piecewise linear model predictive control
(MPC) has recently been explicitly characterized in terms of piecewise-linear (PWL) state …

Simple predictive control (MPC) algorithms produce a feed-forward compensator that may
be a suboptimal choice. This paper gives some insights into this issue and simple means of …