P Krupa, D Limon, T Alamo - IEEE Transactions on Control …, 2020 - ieeexplore.ieee.org
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 …
G Valencia-Palomo, KR Hilton… - 2009 European Control …, 2009 - ieeexplore.ieee.org
In this paper a novel implementation of a Generalized Predictive Controller (GPC) is presented; specifically the paper discusses programming of MPC in an industrial …
B Käpernick, K Graichen - IFAC Proceedings Volumes, 2014 - Elsevier
This paper describes the implementation of an efficient model predictive control (MPC) approach on a standard programmable logic controller (PLC). PLCs are commonly used in …
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 …
I Rauová, R Valo, M Kvasnica, M Fikar - Proceedings of the 18th …, 2011 - uiam.sk
This paper deals with real-time implementation of Model Predictive Control (MPC) of a fan heater system using Programmable Logic Controller (PLC) platform. The MPC problem is …
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 …
LG Bleris, PD Vouzis, MG Arnold… - 2006 American Control …, 2006 - ieeexplore.ieee.org
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 …
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 …