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A trust‐region framework for integration of design and control
Author(s) -
Rafiei Mina,
RicardezSandoval Luis A.
Publication year - 2020
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.16922
Subject(s) - operability , mathematical optimization , piecewise , key (lock) , metric (unit) , process (computing) , trust region , computer science , series (stratigraphy) , scale (ratio) , control (management) , mathematics , engineering , artificial intelligence , mathematical analysis , paleontology , operations management , physics , software engineering , computer security , quantum mechanics , radius , biology , operating system
A trust‐region approach is presented to address the simultaneous design and control of large‐scale systems under uncertainty. The key idea is to represent the system using power series expansions (PSEs) as piecewise models in an iterative manner while the validity of those expansions is certified in a trusted region. The mean of squared errors is used as a metric to quantify the accuracy of the PSE approximations. Identified search regions specify the boundaries of the decision variables for the PSE‐based optimization problems. The proposed algorithm shows a significant accomplishment in locating dynamically feasible and near‐optimal design and operating conditions. The proposed approach was tested in a wastewater treatment plant and the Tennessee Eastman process. The results indicate that the proposed methodology leads to more economically attractive and reliable designs while maintaining the dynamic operability of the system in the presence of disturbances and uncertainty.