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dc.contributor.authorNdoye, Ibrahima
dc.contributor.authorLaleg-Kirati, Taous-Meriem
dc.date.accessioned2017-10-03T12:49:33Z
dc.date.available2017-10-03T12:49:33Z
dc.date.issued2017-07-10
dc.identifier.citationN’Doye I, Laleg-Kirati T-M (2017) Model reduction of nonlinear systems subject to input disturbances. 2017 American Control Conference (ACC). Available: http://dx.doi.org/10.23919/ACC.2017.7963486.
dc.identifier.doi10.23919/ACC.2017.7963486
dc.identifier.urihttp://hdl.handle.net/10754/625676
dc.description.abstractThe method of convex optimization is used as a tool for model reduction of a class of nonlinear systems in the presence of disturbances. It is shown that under some conditions the nonlinear disturbed system can be approximated by a reduced order nonlinear system with similar disturbance-output properties to the original plant. The proposed model reduction strategy preserves the nonlinearity and the input disturbance nature of the model. It guarantees a sufficiently small error between the outputs of the original and the reduced-order systems, and also maintains the properties of input-to-state stability. The matrices of the reduced order system are given in terms of a set of linear matrix inequalities (LMIs). The paper concludes with a demonstration of the proposed approach on model reduction of a nonlinear electronic circuit with additive disturbances.
dc.description.sponsorshipThe research reported herein is supported by the King Abdullah University of Science and Technology (KAUST). The authors would like to thank Prof. Salim Ibrir from King Fahd University of Petroleum and Minerals (KFUPM) for most fruitful discussions that substantially improved the paper.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/7963486/
dc.subjectCircuit stability
dc.subjectConvex functions
dc.subjectLinear systems
dc.subjectNonlinear systems
dc.subjectReduced order systems
dc.subjectStability criteria
dc.titleModel reduction of nonlinear systems subject to input disturbances
dc.typeConference Paper
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2017 American Control Conference (ACC)
dc.conference.date2017-05-24 to 2017-05-26
dc.conference.name2017 American Control Conference, ACC 2017
dc.conference.locationSeattle, WA, USA
kaust.personNdoye, Ibrahima
kaust.personLaleg-Kirati, Taous-Meriem
dc.date.published-online2017-07-10
dc.date.published-print2017-05


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