A general adjoint relation for functional differential and Volterra integral equations with application to control
dc.contributor.author | McClamroch, N. Harris | en_US |
dc.date.accessioned | 2006-09-11T15:50:09Z | |
dc.date.available | 2006-09-11T15:50:09Z | |
dc.date.issued | 1971-05 | en_US |
dc.identifier.citation | McClamroch, N. H.; (1971). "A general adjoint relation for functional differential and Volterra integral equations with application to control." Journal of Optimization Theory and Applications 7(5): 346-356. <http://hdl.handle.net/2027.42/45239> | en_US |
dc.identifier.issn | 1573-2878 | en_US |
dc.identifier.issn | 0022-3239 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45239 | |
dc.description.abstract | A general adjoint relation is developed between solutions of linear functional differential equations and linear Volterra integral equations. Several useful representations for solutions of such equations arise as a consequence of the adjoint relationship. These representations are then used to obtain directly several results for controlling systems described by either linear functional differential equations or linear Volterra integral equations. | en_US |
dc.format.extent | 554004 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation ; Springer Science+Business Media | en_US |
dc.subject.other | Theory of Computation | en_US |
dc.subject.other | Mathematics | en_US |
dc.subject.other | Applications of Mathematics | en_US |
dc.subject.other | Calculus of Variations and Optimal Control | en_US |
dc.subject.other | Optimization | en_US |
dc.subject.other | Engineering, General | en_US |
dc.subject.other | Optimization | en_US |
dc.subject.other | Operation Research/Decision Theory | en_US |
dc.title | A general adjoint relation for functional differential and Volterra integral equations with application to control | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Program in Computer, Information, and Control Engineering, The University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45239/1/10957_2004_Article_BF00933998.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/BF00933998 | en_US |
dc.identifier.source | Journal of Optimization Theory and Applications | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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