Multiobjective process controllability analysis

Show simple item record

dc.contributor.author Cao, Yi -
dc.contributor.author Yang, Zhijia -
dc.date.accessioned 2011-11-13T23:04:07Z
dc.date.available 2011-11-13T23:04:07Z
dc.date.issued 2004-01-15T00:00:00Z -
dc.identifier.citation Yi Cao and Zhijia Yang, Multiobjective process controllability analysis, Computers & Chemical Engineering, Volume 28, Issues 1-2, 15 January 2004, Pages 83-90. -
dc.identifier.issn 0098-1354 -
dc.identifier.uri http://dx.doi.org/10.1016/S0098-1354(03)00184-4 -
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/749
dc.description.abstract A new approach for process controllability analysis by using multiobjective optimisation techniques is proposed. Within the approach, a set of performance specifications, such as minimum control error and input effort with closed-loop pole placement are represented as a set of linear matrix inequalities (LMI). The solution to the LMI conditions can be identified as feasible or infeasible. If the solution is feasible there is at least one controller that can make the closed-loop system satisfy all performance specifications simultaneously. Therefore, for the process plant, these performance specifications are achievable. Otherwise, they are unachievable. There is a Pareto-optimal set or a trade-off curve in the performance space to separate these two areas. The paper shows that such trade-off curves can be used for process controllability analysis, and therefore, can be applied to control structure selection problems. en_UK
dc.language.iso en_UK -
dc.publisher Elsevier Science B.V., Amsterdam. en_UK
dc.subject Process controllability en_UK
dc.subject Multiobjective optimisation en_UK
dc.subject Linear matrix inequality en_UK
dc.title Multiobjective process controllability analysis en_UK
dc.type Article -


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search CERES


Browse

My Account

Statistics