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Generalized Inverses for Finite-Horizon Tracking

dc.contributor.authorHristu, Dimitriosen_US
dc.date.accessioned2007-05-23T10:10:20Z
dc.date.available2007-05-23T10:10:20Z
dc.date.issued2000en_US
dc.identifier.urihttp://hdl.handle.net/1903/6181
dc.description.abstractControl and communication issues aretraditionally "decoupled" in discussions of decision and controlproblems, as this simplifies the analysis and generally works well forclassical models. This fundamental assumption deserves re-examinationas control applications spread into new areas where system complexityis significant. Such areas include the coordinated control of aerialvehicles (UAVs), MEMS devices, multi-joint manipulators and othersettings where many systems must share the attention of adecision-maker. We consider a new class ofsampled-data systems (termed "computer-controlled systems") thatoffer the possibility of jointly optimizing between control andcommunication goals. Computer-controlled LTI systems can be viewed aslinear operators between appropriate inner-product spaces. Thegeneralized inverses of these operators are used to solve a class offinite-horizon tracking problems.<P><Center><I>This work was presented at the IEEE Conf. on Decision and Control, Dec. 1999. </I></Center>en_US
dc.format.extent368955 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 2000-15en_US
dc.relation.ispartofseriesCDCSS; TR 2000-2en_US
dc.subjectlinear systemsen_US
dc.subjectoptimal controlen_US
dc.subjectoptimizationen_US
dc.subjectroboticsen_US
dc.subjectlimited communication controlen_US
dc.subjectIntelligent Control Systemsen_US
dc.titleGeneralized Inverses for Finite-Horizon Trackingen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US
dc.contributor.departmentCDCSSen_US


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