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Model Predictive Path Following and Trajectory Tracking Control using Artificial Variables for Constrained Vehicles
(Institute of Electrical and Electronics Engineers, 2019)
In this article, the path following and trajectorytracking problems for constrained vehicles are tackled by meansof a unified Model Predictive Control strategy. State and inputconstrains are taken into account, and additional ...
Nonlinear MPC for Tracking Piece-Wise Constant Reference Signals
(Institute of Electrical and Electronics Engineers, 2018-11)
This paper presents a novel tracking predictive controller for constrained nonlinear systems capable to deal with sudden and large variations of a piece-wise constant setpoint signal. The uncertain nature of the setpoint ...
Application of state estimation based NMPC to an unstable nonlinear process
(Pergamon-Elsevier Science Ltd, 2004-11)
Model predictive control (MPC) has become very popular both in process industry and academia due to its effectiveness in dealing with nonlinear, multivariable and/or hard-constrained plants. Although linear MPC can be ...
Controle preditivo não linear baseado no modelo de Hammerstein com prova de estabilidade
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Engenharia ElétricaAutomação e Sistemas; Engenharia de Computação; Telecomunicações, 2009-03-27)
The Predictive Controller has been receiving plenty attention in the last decades, because the need to understand, to analyze, to predict and to control real systems has been quickly growing with the technological and ...
Review on fuzzy and neural prediction interval modelling for nonlinear dynamical systems
(IEEE, 2021)
The existing uncertainties during the operation of processes could strongly affect the performance of forecasting systems, control strategies and fault detection systems when they are not considered in the design. Because ...
Non-linear multivariable predictive control of an alcoholic fermentation process using functional link networks
(Instituto de Tecnologia do Paraná - Tecpar, 2005)
Use of Wiener Nonlinear MPC to Control a CSTR with Multiple Steady State
(Planta Piloto de Ingeniería Química, 2003-06)
In this paper a Nonlinear Model Predictive Control based on a Wiener Model with a Piecewise Linear gain is presented. The major advantages of this algorithm is that it retains all the interesting properties of the classical ...
Robust Control Approach for Volterra Models
(Institute of Electrical and Electronics Engineers, 2016-05)
Recently, different algorithms for identification of several uncertain nonlinear models, referred to as Volterra-type models, were introduced in the literature. This work deals with the development of a suitable robust ...