The paper provides a review of the different approaches of Model Predictive Control (MPC)
to deal with the nonlinearities and transient behavior associated with pH and its control …

The purpose of the paper is to extend dynamic matrix control (DMC) to handle different
operating regimes and to reject parameter disturbances. This is done by two new multiple …

In the context of process industries, online monitoring of quality variables is often restricted
by inadequacy of measurement techniques or low reliability of measuring devices …

This paper deals with the state variables (temperatures) estimation for a counter-flow double-
pipe heat exchanger using multi-linear models using a Kalman filter (FK) for the state …

This paper deals of a new metric for multi-model approach, based in phase margin. A
quasilinear generalized predictive controller (QGPC) is designed for each chosen operating …

In this work a modification on ANFIS (Adaptive Network Based Fuzzy Inference System)
structure is proposed to find a systematic method for nonlinear plants, with large operational …

This paper presents a contribution in multivariable predictive control. A new approach of
multi-model based control is presented. The controller used is the quasilinear multivariable …

In conveyor-serviced batch processing system, jobs arrive dynamically and are stored in a
buffer to be further processed by the batch processing machine. Under the cases of non …

The aim of this work is to present a technique which is able to deal with discontinuous time
varying systems based on the identification of local linear models at different operating …

This work addresses issues related to analysis and development of multivariable predictive
controllers based on bilinear multi-models. Linear Generalized Predictive Control (GPC) …