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postgraduate thesis: A neural-network approach to high-performance adaptive control for robot manipulators

TitleA neural-network approach to high-performance adaptive control for robot manipulators
Authors
Issue Date1998
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Lin, N. [林楠林]. (1998). A neural-network approach to high-performance adaptive control for robot manipulators. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3123741
DegreeDoctor of Philosophy
SubjectRobots - Control systems.
Manipulators (Mechanism)
Neural networks (Computer science)
Dept/ProgramElectrical and Electronic Engineering
Persistent Identifierhttp://hdl.handle.net/10722/35002
HKU Library Item IDb3123741

 

DC FieldValueLanguage
dc.contributor.authorLin, Nanlin.-
dc.contributor.author林楠林-
dc.date.issued1998-
dc.identifier.citationLin, N. [林楠林]. (1998). A neural-network approach to high-performance adaptive control for robot manipulators. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3123741-
dc.identifier.urihttp://hdl.handle.net/10722/35002-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.source.urihttp://hub.hku.hk/bib/B31237411-
dc.subject.lcshRobots - Control systems.-
dc.subject.lcshManipulators (Mechanism)-
dc.subject.lcshNeural networks (Computer science)-
dc.titleA neural-network approach to high-performance adaptive control for robot manipulators-
dc.typePG_Thesis-
dc.identifier.hkulb3123741-
dc.description.thesisnameDoctor of Philosophy-
dc.description.thesislevelDoctoral-
dc.description.thesisdisciplineElectrical and Electronic Engineering-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.5353/th_b3123741-
dc.date.hkucongregation1998-
dc.identifier.mmsid991012400189703414-

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