Perspectives and challenges in performance assessment of model predictive control-Reference-Cited by-同舟云学术

Perspectives and challenges in performance assessment of model predictive control

Published:2016-05-17 Issue:7 Volume:94 Page:1225-1241
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can. J. Chem. Eng.

Author:

Botelho Viviane¹,Trierweiler Jorge Otávio¹,Farenzena Marcelo¹,Duraiski Ricardo²

Affiliation:

1. Group of Intensification, Modelling, Simulation, Control, and Optimization of Processes; Chemical Engineering Department; Federal University of Rio Grande do Sul (UFRGS); R. Eng. Luiz Englert, s/n. Campus Central Porto Alegre RS Brazil

2. Trisolutions Engineering Solutions LTDA; R. General Bento Martins 24 - Porto Alegre RS Brazil

Funder

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS) and Petrobras

Publisher

Wiley

Subject

General Chemical Engineering

Reference45 articles.

1. Multivariable MPC system performance assessment, monitoring, and diagnosis

2. Model predictive control monitoring using multivariate statistics

3. Assessing Model Prediction Control (MPC) Performance. 1. Probabilistic Approach for Constraint Analysis

4. Alternative solutions to multi-variate control performance assessment problems

5. Multi-step prediction error approach for controller performance monitoring

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