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Detecção de erros planta-modelo em sistemas de controle preditivo (MPC) utilizando técnicas de informação mútuaDetecting plant-model mismatch in predictive control systems (MPC) using mutual information techniques
(Universidade Federal de SergipePós-Graduação em Engenharia ElétricaBrasilUFS, 2017)
Tube-based MPC with Nonlinear Control for Load Transportation using a UAV
(Elsevier B.V., 2018-01)
This paper presents a two-stage cascade control framework to solve hierarchically the trajectory tracking problem of a Tilt-rotor Unmanned Aerial Vehicle (UAV) carrying a suspended load. Initially, a nonlinear dynamic model ...
MPC with State Window Target Control in Linear Impulsive Systems
(Elsevier, 2015-12)
In this paper a zone MPC controller is proposed to deal with the tracking problem of linear impulsive control systems. The control strategy is based on the analysis of some system equilibrium generalizations, which are ...
Uso de redes neurais para obtenção de modelos de predição para controladores preditivos lineares
(Florianópolis, SC., 2019-12-10)
Na indústria de petróleo e gás, controladores preditivos baseados em modelos (MPC)
multivariáveis podem ser utilizados para otimizar os processos de produção e de refino.
Esta estratégia de controle requer modelos que ...
Robust model predictive control of Wiener systems
(Taylor & Francis Ltd, 2011-03-18)
Block-oriented models (BOMs) have shown to be appealing and efficient as nonlinear representations for many applications. They are at the same time valid and simple models in a more extensive region than time-invariant ...
Protocolos para computação segura entre dois participantes para álgebra linear e estatística
(Universidade Federal de Pernambuco, 2014)
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 ...
Use of state estimation for inferential nonlinear MPC: a case study
(Elsevier Science Sa, 2005-01-28)
Model predictive control (MPC) has become very popular in process industry and academia because it is an optimizing control technique which can handle hard constraints as well as time delays and mild nonlinearities. Linear ...