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100   $a20100611d2010      ua             0
101 0 $aeng
135   $aurbn|||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 12$aA systematic approach for model-based aircraft engine performance estimation$b[electronic resource] /$fDonald L. Simon and Sanjay Garg ; prepared for the Infotech@Aerospace (I@A) Conference sponsored by the American Institute of Aeronautics and Astronautics, Seattle, Washington, April 6-9, 2009
210  1$aCleveland, Ohio :$cNational Aeronautics and Space Administration, Glenn Research Center,$d[2010]
215   $a1 online resource (19 pages)
225 1 $aNASA TM- ;$v2010-216077
300   $aTitle from title screen (viewed on June 9, 2010).
300   $a"January 2010."
320   $aIncludes bibliographical references (page 19).
410  0$aNASA technical memorandum ;$v2010-216077.
606   $aKalman filters$2nasat
606   $aGas turbine engines$2nasat
606   $aPerformance prediction$2nasat
606   $aSteady state$2nasat
606   $aTuning$2nasat
615  7$aKalman filters.
615  7$aGas turbine engines.
615  7$aPerformance prediction.
615  7$aSteady state.
615  7$aTuning.
700   $aSimon$b Donald L$01389758
701   $aGarg$b Sanjay$01386527
712 02$aNASA Glenn Research Center.
712 12$aInfotech@Aerospace Conference$f(2010 :$eSeattle, Wash.)
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910697037503321
996   $aA systematic approach for model-based aircraft engine performance estimation$93489088
997   $aUNINA