Improving tracking performance by learning from past data
dc.contributor.author
Schoelling, Angela P.
dc.contributor.supervisor
D'Andrea, Raffaello
dc.contributor.supervisor
Alleyne, Andrew
dc.date.accessioned
2017-08-17T07:06:44Z
dc.date.available
2017-06-10T15:21:04Z
dc.date.available
2017-08-17T07:06:44Z
dc.date.issued
2012
dc.identifier.uri
http://hdl.handle.net/20.500.11850/65097
dc.identifier.doi
10.3929/ethz-a-009758916
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
ETH
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
MACHINE LEARNING (ARTIFICIAL INTELLIGENCE)
en_US
dc.subject
MOTION PLANNING + MOTION COURSE + TRAJECTORY PLANNING (ROBOTICS)
en_US
dc.subject
MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ)
en_US
dc.subject
BEWEGUNGSVERLAUF + BEWEGUNGSABLAUF + BAHNPLANUNG (ROBOTIK)
en_US
dc.subject
HUBSCHRAUBER, QUADROKOPTER, MULTIKOPTER (LUFTFAHRTTECHNIK)
en_US
dc.subject
PROGRAMS AND ALGORITHMS FOR THE SOLUTION OF SPECIAL PROBLEMS
en_US
dc.subject
HELICOPTERS, QUADROTORS, MULTIROTORS (AERONAUTICAL ENGINEERING)
en_US
dc.subject
PROGRAMME UND ALGORITHMEN ZUR LÖSUNG SPEZIELLER PROBLEME
en_US
dc.title
Improving tracking performance by learning from past data
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2013
ethz.size
199 p.
en_US
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
en_US
ethz.code.ddc
DDC - DDC::6 - Technology, medicine and applied sciences::621.3 - Electric engineering
en_US
ethz.identifier.diss
20593
en_US
ethz.identifier.nebis
009758916
ethz.publication.place
Zürich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02619 - Inst. Dynam. Syst. u. Regelungstechnik / Inst. Dynamic Systems and Control::03758 - D'Andrea, Raffaello / D'Andrea, Raffaello
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02619 - Inst. Dynam. Syst. u. Regelungstechnik / Inst. Dynamic Systems and Control::03758 - D'Andrea, Raffaello / D'Andrea, Raffaello
ethz.date.deposited
2017-06-10T15:24:34Z
ethz.source
ECOL
ethz.source
ECIT
ethz.identifier.importid
imp593650756956638342
ethz.identifier.importid
imp59366b3b737f425319
ethz.ecolpid
eth:6810
ethz.ecitpid
pub:103551
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-18T19:17:12Z
ethz.rosetta.lastUpdated
2022-03-28T17:24:46Z
ethz.rosetta.versionExported
true
ethz.COinS
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Doctoral Thesis [29803]