TY - JOUR
T1 - Automated synthesis of control configurations for process networks based on structural coupling
AU - Heo, Seongmin
AU - Marvin, W. Alex
AU - Daoutidis, Prodromos
N1 - Publisher Copyright:
© 2015 Elsevier Ltd.
PY - 2014/10/6
Y1 - 2014/10/6
N2 - In this paper, a method to systematically synthesize control configurations with favorable structural coupling is developed, using relative degree as a measure of such coupling. Initially, an integer optimization problem is formulated to identify optimal distributions of inputs and outputs (decentralized control configurations) that minimize the overall structural coupling in the network. Then, a hierarchical clustering procedure, which allows identifying groups of inputs and outputs that are strongly connected topologically (block decentralized control configurations), is proposed. The application of the method is illustrated through an example process network.
AB - In this paper, a method to systematically synthesize control configurations with favorable structural coupling is developed, using relative degree as a measure of such coupling. Initially, an integer optimization problem is formulated to identify optimal distributions of inputs and outputs (decentralized control configurations) that minimize the overall structural coupling in the network. Then, a hierarchical clustering procedure, which allows identifying groups of inputs and outputs that are strongly connected topologically (block decentralized control configurations), is proposed. The application of the method is illustrated through an example process network.
KW - Control structure selection
KW - Hierarchical clustering
KW - Integer programming
KW - Plantwide control
KW - Process networks
UR - http://www.scopus.com/inward/record.url?scp=84946475250&partnerID=8YFLogxK
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U2 - 10.1016/j.ces.2015.03.049
DO - 10.1016/j.ces.2015.03.049
M3 - Article
AN - SCOPUS:84946475250
SN - 0009-2509
VL - 136
SP - 76
EP - 87
JO - Chemical Engineering Science
JF - Chemical Engineering Science
ER -