Branch and bound method for multiobjective control structure design
Control structure design deals with the selection of controlled and manipulated variables, and the pairings interconnecting these variables. The available criteria for these tasks require enumeration of every alternative, which can be computationally forbidding for large-scale process. Owing...
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sg-ntu-dr.10356-910992023-12-29T06:44:06Z Branch and bound method for multiobjective control structure design Cao, Yi Kariwala, Vinay School of Chemical and Biomedical Engineering IEEE Conference on Industrial Electronics and Applications (4th : 2009 : Xi'an, China) DRNTU::Engineering::Chemical engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Control structure design deals with the selection of controlled and manipulated variables, and the pairings interconnecting these variables. The available criteria for these tasks require enumeration of every alternative, which can be computationally forbidding for large-scale process. Owing to the computational complexity, variables and pairings are often selected sequentially, which may result in sub-optimal control structures. In this paper, an efficient branch and bound (BAB) method is proposed to select the variables and pairings together in a multiobjective optimization framework. As an illustration of the proposed multiobjective BAB framework, the minimum singular value rule and the mu-interaction measure are used as the criteria for selection of controlled variables and pairings, respectively. Numerical tests using randomly generated matrices and large-scale case study of HDA process show that the BAB method is able to reduce the solution time by several orders of magnitude in comparison with exhaustive search. Published version 2009-08-06T06:12:49Z 2019-12-06T17:59:42Z 2009-08-06T06:12:49Z 2019-12-06T17:59:42Z 2008 2008 Conference Paper Kariwala, V., & Cao, Y. (2008). Branch and bound method for multiobjective control structure design. Proceedings of the 4th IEEE Conference on Industrial Electronics and Applications, (pp. 2513-2518) https://hdl.handle.net/10356/91099 http://hdl.handle.net/10220/6028 10.1109/ICIEA.2009.5138660 en © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. 6 p. application/pdf |
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DRNTU::Engineering::Chemical engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Cao, Yi Kariwala, Vinay Branch and bound method for multiobjective control structure design |
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Control structure design deals with the selection of controlled and manipulated variables, and the pairings interconnecting
these variables. The available criteria for these tasks require enumeration of every alternative, which can be computationally forbidding for large-scale process. Owing to
the computational complexity, variables and pairings are often selected sequentially, which may result in sub-optimal control
structures. In this paper, an efficient branch and bound (BAB) method is proposed to select the variables and pairings together
in a multiobjective optimization framework. As an illustration of the proposed multiobjective BAB framework, the minimum
singular value rule and the mu-interaction measure are used as the criteria for selection of controlled variables and pairings, respectively. Numerical tests using randomly generated matrices and large-scale case study of HDA process show that the BAB method is able to reduce the solution time by several orders of magnitude in comparison with exhaustive search. |
author2 |
School of Chemical and Biomedical Engineering |
author_facet |
School of Chemical and Biomedical Engineering Cao, Yi Kariwala, Vinay |
format |
Conference or Workshop Item |
author |
Cao, Yi Kariwala, Vinay |
author_sort |
Cao, Yi |
title |
Branch and bound method for multiobjective control structure design |
title_short |
Branch and bound method for multiobjective control structure design |
title_full |
Branch and bound method for multiobjective control structure design |
title_fullStr |
Branch and bound method for multiobjective control structure design |
title_full_unstemmed |
Branch and bound method for multiobjective control structure design |
title_sort |
branch and bound method for multiobjective control structure design |
publishDate |
2009 |
url |
https://hdl.handle.net/10356/91099 http://hdl.handle.net/10220/6028 |
_version_ |
1787136600096899072 |