Branch and bound method for multiobjective pairing selection.

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Branch and bound method for multiobjective pairing selection.

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dc.contributor.author Kariwala, Vinay.
dc.contributor.author Cao, Yi.
dc.date.accessioned 2010-12-17T02:58:33Z
dc.date.available 2010-12-17T02:58:33Z
dc.date.copyright 2010
dc.date.issued 2010-12-17T02:58:33Z
dc.identifier.citation Kariwala, V., & Cao, Y. (2010). Branch and bound method for multiobjective pairing selection. Automatica, 46(5), 932-936.
dc.identifier.issn 0005-1098
dc.identifier.issn 0005-1098
dc.identifier.uri http://hdl.handle.net/10220/6492
dc.description.abstract Most of the available methods for selection of input-output pairings for decentralized control require evaluation of all alternatives to find the optimal pairings. As the number of alternatives grows rapidly with process dimensions, pairing selection through an exhaustive search can be computationally forbidding for large-scale processes. Furthermore, the different criteria can be conflicting necessitating pairing selection in a multiobjective optimization framework. In this paper, an efficient branch and bound (BAB) method for multiobjective pairing selection is proposed. The proposed BAB method is illustrated through a biobjective pairing problem using selection criteria involving the relative gain array and the µ-interaction measure. The computational efficiency of the proposed method is demonstrated by using randomly generated matrices and the large-scale case study of cross-direction control.
dc.format.extent 6 p.
dc.language en
dc.relation.ispartofseries Automatica
dc.subject DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering.
dc.title Branch and bound method for multiobjective pairing selection.
dc.type Journal Article
dc.contributor.school School of Chemical and Biomedical Engineering
dc.description.version Accepted version
dc.identifier.rims 150894

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