Lexicographic optimization based model predictive control: application to quadruple tank system

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dc.contributor.author Markana, Anil
dc.contributor.author Padhiyar, Nitin
dc.contributor.author Moudgalya, Kannan
dc.contributor.other AIP Conference Proceedings
dc.date.accessioned 2014-04-22T13:59:53Z
dc.date.available 2014-04-22T13:59:53Z
dc.date.issued 2010
dc.identifier.citation Markana, Anil; Padhiyar, Nitin and Moudgalya, Kannan, “Lexicographic optimization based model predictive control: application to quadruple tank system”, in AIP Conference Proceedings, DOI: 10.1063/1.3516350, vol. 1298, p. 467, 2010. en_US
dc.identifier.uri http://dx.doi.org/10.1063/1.3516350
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/1026
dc.description.abstract Lexicographic optimization based model predictive control is a modified Model Predictive Control algorithm (MPC), which incorporates explicit controlled output priority by solving a series of optimization problems at every iteration in order of priority. We present an application of controlling liquid levels in quadruple cylindrical tanks using lexicographic optimization based MPC and compare the results with conventional MPC approach. The results show the superiority of lexicographic optimization based MPC over conventional MPC in terms of setpoint tracking. Extended Kalman filter is used as the state observer for the simulation results in this work for nonlinear quadruple cylindrical tank system. en_US
dc.description.statementofresponsibility by Anil Markana, Nitin Padhiyar and Kannan Moudgalya
dc.format.extent Vol. 1298, pp. 467
dc.language.iso en en_US
dc.publisher AIP Publishing en_US
dc.subject Extended kalman filter en_US
dc.subject Lexicographic optimization en_US
dc.subject Model predictive control en_US
dc.title Lexicographic optimization based model predictive control: application to quadruple tank system en_US
dc.type Article en_US


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