This paper provides an evaluation and comparison of popular parameterised model
predictive control approaches that have been proposed in the literature in recent years …

It has been shown that Laguerre functions successfully reduce the number of decision
variables in model predictive control of linear time invariant (LTI) systems. In this paper we …

This paper presents the design of a model predictive controller (MPC) based on Laguerre
functions for vibration control. The controller is tested in a building‐like structure consisting …

Kautz parametrization of the Model Predictive Control (MPC) method has shown its ability to
reduce the number of decision variables in Linear Time Invariant (LTI) systems. This paper …

This paper addresses design and implementation of an Industrial Generalized Predictive
Controller with the aid of artificial neural networks (ANNs) for multivariable processes via …

In this work, implementation issues related to multivariable Generalized Predictive Control
(GPC) for processes with multiple time delays are analyzed. Due to specific properties of …

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 …

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 …

One of the main features of model predictive control is its ability to incorporate in the
computation of the control law the advance (future) knowledge of the setpoint trajectory …

Programmable logic controller (PLC) programming technology plays an important role in the
automatic control of industrial electrical equipment monitoring. Based on PLC programming …