The data reconciliation in process control is extremely important regarding the industries because from this it is possible to obtain a greater efficiency in the performance in industrial process control meshes aiming at a lower cost and a higher quality of the product. In this work we approach data estimation techniques for the implementation of an online dynamic data reconciliation system in order to reduce the noise and the measurement uncertainties that are submitted in the process variables. The techniques used here are: the Kalman Filter, the Preditor-Corrector DDR Algorithm, the Moving Horizon Estimator (MHE) and the Constrained Extended Kalman Filter (CEKF). The analysis is performed by applying the dynamic data reconciliati...
Na literatura de controle, os controladores preditivos disponíveis apresentam aplicações limitadas e...
Na literatura de controle, os controladores preditivos disponíveis apresentam aplicações limitadas e...
Na atualidade, dispõe-se de um número razoável de soluções tecnológicas para controle e otimização d...
In a modern chemical plant, the implementation of a distributed control system leads to a large numb...
The use of data reconciliation techniques can considerably reduce the inaccuracy of process data due...
Model predictive controller (MPC), even when well projected, is minded to unmeasured disturbances al...
All process measurements obtained from measurement devices are corrupted with noise. In any modern c...
The renewed interest in the process data reconciliation by both the academic world and the process i...
This thesis presents, discusses and compares a set of methodologies and several appropriate combinat...
Este trabalho visa o desenvolvimento de uma metodologia para a re-identificação do modelo usado em c...
In this study, predictive controllers of the Generalized Predictive Controller (GPC) and MPCSS (Mode...
In this paper the implementation of dynamic data reconciliation techniques for sequential modular mo...
Model predictive control (MPC) strategies have become the standard for advanced control application...
A identificação de modelos é usualmente a tarefa mais significativa e demorada no trabalho de implem...
Abstract: The aim of this work is to compare Dynamic Data Reconciliation techniques by both theoreti...
Na literatura de controle, os controladores preditivos disponíveis apresentam aplicações limitadas e...
Na literatura de controle, os controladores preditivos disponíveis apresentam aplicações limitadas e...
Na atualidade, dispõe-se de um número razoável de soluções tecnológicas para controle e otimização d...
In a modern chemical plant, the implementation of a distributed control system leads to a large numb...
The use of data reconciliation techniques can considerably reduce the inaccuracy of process data due...
Model predictive controller (MPC), even when well projected, is minded to unmeasured disturbances al...
All process measurements obtained from measurement devices are corrupted with noise. In any modern c...
The renewed interest in the process data reconciliation by both the academic world and the process i...
This thesis presents, discusses and compares a set of methodologies and several appropriate combinat...
Este trabalho visa o desenvolvimento de uma metodologia para a re-identificação do modelo usado em c...
In this study, predictive controllers of the Generalized Predictive Controller (GPC) and MPCSS (Mode...
In this paper the implementation of dynamic data reconciliation techniques for sequential modular mo...
Model predictive control (MPC) strategies have become the standard for advanced control application...
A identificação de modelos é usualmente a tarefa mais significativa e demorada no trabalho de implem...
Abstract: The aim of this work is to compare Dynamic Data Reconciliation techniques by both theoreti...
Na literatura de controle, os controladores preditivos disponíveis apresentam aplicações limitadas e...
Na literatura de controle, os controladores preditivos disponíveis apresentam aplicações limitadas e...
Na atualidade, dispõe-se de um número razoável de soluções tecnológicas para controle e otimização d...