TY - GEN
T1 - Input/output hierarchical clustering in process networks based on relative degrees
AU - Heo, Seongmin
AU - Daoutidis, Prodromos
PY - 2015/7/28
Y1 - 2015/7/28
N2 - In this paper, a divisive hierarchical clustering method is proposed to address the problem of pairing of manipulated inputs and controlled outputs. Specifically, an integer nonlinear optimization problem is formulated to identify groups of inputs and outputs with strong structural coupling quantified by relative degrees. This optimization problem can be solved in a hierarchical manner to generate a hierarchy of block decentralized control configurations. The application of the method is illustrated through a case study on an example chemical process network.
AB - In this paper, a divisive hierarchical clustering method is proposed to address the problem of pairing of manipulated inputs and controlled outputs. Specifically, an integer nonlinear optimization problem is formulated to identify groups of inputs and outputs with strong structural coupling quantified by relative degrees. This optimization problem can be solved in a hierarchical manner to generate a hierarchy of block decentralized control configurations. The application of the method is illustrated through a case study on an example chemical process network.
UR - http://www.scopus.com/inward/record.url?scp=84940947122&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84940947122&partnerID=8YFLogxK
U2 - 10.1109/ACC.2015.7170923
DO - 10.1109/ACC.2015.7170923
M3 - Conference contribution
AN - SCOPUS:84940947122
T3 - Proceedings of the American Control Conference
SP - 1363
EP - 1368
BT - ACC 2015 - 2015 American Control Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 American Control Conference, ACC 2015
Y2 - 1 July 2015 through 3 July 2015
ER -