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.
|Original language||English (US)|
|Title of host publication||ACC 2015 - 2015 American Control Conference|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|State||Published - Jul 28 2015|
|Event||2015 American Control Conference, ACC 2015 - Chicago, United States|
Duration: Jul 1 2015 → Jul 3 2015
|Name||Proceedings of the American Control Conference|
|Conference||2015 American Control Conference, ACC 2015|
|Period||7/1/15 → 7/3/15|
Bibliographical notePublisher Copyright:
© 2015 American Automatic Control Council.