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Pareto-based modulated model predictive control strategy for power converter applications
(Elsevier Ltd, 2019)
Modulated model predictive control (M 2 PC) allows fixed switching frequency operation of power converters, producing lower ripple and lower total harmonic distortion (THD) in the output signals than those obtained using ...
Prediction of a financial crisis in Latin American companies using the mixed logistic regression model
(2016)
The development of statistical methods for predicting the financial crisis of a company is a real contribution to scientific research. These methods identify possible adverse financial situations of the companies, through ...
An active power filter using single-phase NPC converters and predictive control for medium voltage distribution systems
(IEEE, 2013)
An active power filter implemented with three single-phase Neutral Point Clamped (NPC) converters is presented and analyzed. The proposed active power filter is aimed to compensate current harmonics and reactive power in ...
Piecewise Linear Models in Model Predictive Control
(Planta Piloto de Ingeniería Química, 2001-12)
In this paper an efficient algorithm for Nonlinear Model Predictive Control is presented. The nonlinear problem is written as a simple Quadratic Programming problem with constaints by using a Canonical Piecewise Linear ...
Iterated non-linear model predictive control based on tubes and contractive constraints
(Elsevier Science Inc, 2016-05)
This paper presents a predictive control algorithm for non-linear systems based on successive linearizations of the non-linear dynamic around a given trajectory. A linear time varying model is obtained and the non-convex ...
Prospects of model predictive control of the drum level at a 225 MW combined cycle power plant
(Institute of Electrical and Electronics Engineers Inc., 2016-10)
We report the application of the Model-based Predictive Control (MPC) to improve the performance of the start-up of a 150-175 MW combined cycle power plant whose gas turbine is fueled by natural gas. In concrete the ...
Prediction of permeate flux in ultrafiltration processes: a review of modeling approaches
(MDPI, 2021)
In any membrane filtration, the prediction of permeate flux is critical to calculate the membrane surface required, which is an essential parameter for scaling-up, equipment sizing, and cost determination. For this reason, ...
Modeling and prediction of COVID-19 in Mexico applying mathematical and computational models
This work presents the modeling and prediction of cases of COVID-19 infection in Mexico through mathematical and computational models using only the confirmed cases provided by the daily technical report
COVID-19 MEXICO ...
Fuzzy predictive control of a solar power plant
(2005)
This work presents the application of fuzzy predictive control to a solar power plant. The proposed predictive controller uses fuzzy characterization of goals and constraints, based on the fuzzy optimization framework for ...