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Optimal sampling pattern for free final time linear quadratic regulator: the scalar case
dc.contributor.author | Balaguer, Pedro | |
dc.contributor.author | Alfonso, j. Carlos | |
dc.date.accessioned | 2021-02-22T10:38:59Z | |
dc.date.available | 2021-02-22T10:38:59Z | |
dc.date.issued | 2020-12-28 | |
dc.identifier.citation | BALAGUER, Pedro; ALFONSO, Jos Carlos. Optimal Sampling Pattern for Free Final Time Linear Quadratic Regulator: The Scalar Case. International Journal of Control, 2020, 1-21 | ca_CA |
dc.identifier.issn | 0020-7179 | |
dc.identifier.uri | http://hdl.handle.net/10234/192142 | |
dc.description.abstract | The optimal sampling problem is the selection of the optimal sampling instants together with the optimal control actions such that a given cost function is minimized. In this article we solve the optimal sampling problem for free final time linear quadratic regulator with scalar dynamical system. The solution provides the optimal sampling instants, control actions, and the optimal final time in a recursive and constructive way for any arbitrary number of samples N ≥ 1, as it is not based on asymptotic arguments. An application example shows the feasibility of the approach. | ca_CA |
dc.format.extent | 21 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Taylor & Francis | ca_CA |
dc.relation.isPartOf | International Journal of Control, 2020, 1-21 | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/CNE/1.0/ | * |
dc.subject | optimal sampling | ca_CA |
dc.subject | linear quadratic regulator | ca_CA |
dc.subject | control design | ca_CA |
dc.subject | optimal control | ca_CA |
dc.subject | networked control | ca_CA |
dc.subject | real-time systems | ca_CA |
dc.title | Optimal sampling pattern for free final time linear quadratic regulator: the scalar case | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | https://doi.org/10.1080/00207179.2020.1861335 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | https://www.tandfonline.com/doi/full/10.1080/00207179.2020.1861335 | ca_CA |
dc.type.version | info:eu-repo/semantics/acceptedVersion | ca_CA |
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