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dc.contributor.authorLoxton, Ryan
dc.contributor.authorTeo, Kok Lay
dc.contributor.authorRehbock, Volker
dc.date.accessioned2017-01-30T15:39:26Z
dc.date.available2017-01-30T15:39:26Z
dc.date.created2011-03-28T20:02:05Z
dc.date.issued2010
dc.identifier.citationLoxton, R. and Teo, K.L. and Rehbock, V. 2010. An Optimization Approach to State-Delay Identification. IEEE Transactions on Automatic Control. 55 (9): pp. 2113-2119.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/48419
dc.identifier.doi10.1109/TAC.2010.2050710
dc.description.abstract

We consider a nonlinear delay-differential system with unknown state-delays. Our goal is to identify these state-delays using experimental data. To this end, we formulate a dynamic optimization problem in which the state-delays are decision variables and the cost function measures the discrepancy between predicted and observed system output. We then show that the gradient of this problem's cost function can be computed by solving an auxiliary delay-differential system. By exploiting this result, the state-delay identification problem can be solved efficiently using a gradient-based optimization method.

dc.publisherIEEE
dc.subjectoptimization methods
dc.subjectsystem identification
dc.subjectnonlinear control systems
dc.subjectDelay systems
dc.titleAn Optimization Approach to State-Delay Identification
dc.typeJournal Article
dcterms.source.volume55
dcterms.source.startPage2113
dcterms.source.endPage2119
dcterms.source.issn0018-9286
dcterms.source.titleIEEE Transactions on Automatic Control
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curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusOpen access


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