GLOBAL EXPONENTIAL OBSERVERS FOR TWO CLASSES OF NONLINEAR SYSTEMS

Size: px
Start display at page:

Download "GLOBAL EXPONENTIAL OBSERVERS FOR TWO CLASSES OF NONLINEAR SYSTEMS"

Transcription

1 GLOBL EXONENTIL OBEE FO TO CLE OF NONLINE YTEM Iasso aralls * ad Cosas ravars ** * arm o Evromal Egrg Tal vrs o Cr 7 Caa Gr mal aral@vg..gr ** arm o Cmal Egrg vrs o aras 65 aras Gr mal ravars@mg.aras.gr sra Ts ar dvlos s odos or s o gloal oal osrvrs or wo lasss o olar ssms lass o ssms w a gloall asmoall sal oma s ad lass o ssms a volv o a o s. I rs lass drvd oos-m osrvr also lads o osro o a ros gloal samld-daa oal osrvr dr addoal odos. Two llsrav amls o alaos o gral rsls ar rsd o s a ssm w mooo olars ad or s mosa ssm. words osrvr dsg olar ssms oal osrvrs.. Irodo O o ggs allgs o mamaal orol or as rolm o osrg sa osrvrs or olar ssms. Ts rolm as arad a lo o ao lrar as dads; as aroad w a var o mods ad rom a var o os o vw s or sa [578678] ad rrs r. I s wor w os o olar orward oml ssms o orm. m wr s a o-m s s a smoo vor ld ad o s gv. wr s a smoo mag. T am s o osr gloal oal osrvrs. valal mods or gloal oal osrvrs ld g-ga osrvrs or gloall Ls ssms [8] as wll as rl-rro osrvrs rmarl or olar ssms w mooo olars [7]. I rasormao-asd osrvrs orgall dvlod loal orm [] ad ssql gloal orm [] ssm s mad o a lar ssm ad dsg o osrvr s rormd rasormd oordas wr oal ovrg s mosd. I s wor w rs s odos or s o oal osrvrs or wo mora lasss o olar ssms w ar o ovrd aov mods Nolar ssms w a asmoall sal oma s Nolar ssms volvg o o ss For o lasss o ssms roosd osro o gloal oal osrvr sars w a adda osrvr w s ssql modd addg a orro rm ordr o sas arora Laov

2 qals. I sold masd a l ormla or osrvrs ar rovdd a as ad ror orol raor a drl al rsls o ar. I o wr w sd rs lass o ssms adda osrvr s a loal osrvr ovr a ra oma s wras orro rm ors rajor o r oma s m. T drvd oos-m osrvr a also lad o osro o a ros gloal samld-daa oal osrvr dr addoal odos. T samld-daa oal osrvr s ros w rs o rraos o samlg sdl ad w rs o masrm rrors s also [9] or samld-daa osrvrs. o sds sod lass o ssms w ror o volvg o a o ror ss o. Hr adda osrvr dos o gara a osrvr rajors l w o s ad s s aomlsd addg a arora orro rm. T dsg o orro rm s rormd ar rasormg ssm rog a arora smoo jv ma a mas o s oo v og oal ovrg s ord orgal oordas. T rsls o o ar mora as or ma lasss o ssms sa volvs a o s or aml ologal ssms sall volv o rs qadra. Howvr r s aor raso a movas rsls o o. I a ag o oordas X a od wr s a smoo jv mag sasg or all or ra Hrw mar ad ra mag mag a sd or dsg o a osrvr or.. dr addoal oss s []. T rsls o o sow a w do o av o assm a.. s oo sad w a rqr a s a o s ad al Torm.. Fall o w rs wo llsrav amls o alao o gral rsls. T rs aml s a ssm w mooo olars ad w al rsls o o o drv a gloal oal osrvr rs dr oos-m masrms ad ssql dr samld masrms. T sod aml s a oraor ollowg mosa modl w osv sa varals volvg o o rs qadra o. lg rsls o o lads o a gloal oal osrvr w osv sa smas. Noao. Trogo s ar w ado ollowg oao [. B C ; Ω w do lass o oos os o w a vals m Ω. B C ; Ω wr s a gr w do lass o os o w oos drvavs o m ordr w a vals Ω. B w do ror o s. For a vor w do s rasos ad s Elda orm. dos m m rasos o mar ad dos dd orm o mar.. m { } s. o wll alld osv d ad > or all. o wll alld radall odd ss { M } M. For a o C ; grad o a. m ar r m or odd or all dod s row vor

3 . sms w a Gloall smoall al Coma Cosdr orward oml ssm... Or ma oss s so garas a r ss a oma s w s rosl gloall asmoall sal adjv ros mas orm o all masral ad loall ssall odd s. H Tr s a radall odd o ssarl osv d o C ; a osv d o C ; ad a osa > s a ollowg qal olds or all w. Idd oss H garas a or vr al odo ad or vr masral ad loall ssall odd solo o. rs oma s { } ar a ras rod.. r ss T C ; s a or all T. Morovr o a oma s { } s osvl vara. Ts a s garad ollowg lmma w s rovd a d. Lmma. Cosdr ssm. dr oss H. T r ss T C ; s a or vr ad or vr masral ad loall ssall odd solo o. w al odo ad orrsodg o sass ma or all ad T. or all Or sod oss garas a w ar a oso o osr a arora loal oal osrvr or ssm... H Tr s a smmr ad osv d mar osas > > ad a smoo mag w or all w s a ollowg qal olds or all w ad. Idd oss H ojo w oss H garas a or vr { } ad or vr masral ad loall ssall odd solo o ssm.. w wll sas a sma o orm M σ. or all or arora osas M σ > rovdd a al smao rror s sl small. Ts s w ssm. s rmd as a loal oal osrvr. T radr sold o a oss H olds aomaall or olar ssms o orm or vr > > ad or vr o-m s... m wr... ar smoo mags. I ordr o al o osr a olar oal osrvr or ssm.. w d a addoal al oss..

4 H Tr s osas a < s a ollowg qal olds or all w a < < ad.5 Hoss H moss osras or volo o rajors o loal osrvr.. Idd qal.5 moss a od o drvav o Laov o C ; alog rajors o loal osrvr. or s rgos o sa sa. ar ow rad o sa ad rov ma rsl o rs so. Torm. Cosdr ssm.. dr oss H-. loall Ls mag ˆ ˆ or all w.6 ϕ ˆ or all w >.7 wr ϕ s dd ϕ ma.8 ad [] s a arrar loall Ls o a sass s or all s ad s or all s a. T r ss M C ; ad σ > s a or vr masral ad loall ssall odd ad or vr solo o.. w ˆ.9 al odo orrsodg o sass σ M or all. mar. a Torm. sows a dr oss H- a orro rm s dd ordr o al o osr a ϕ gloal oal osrvr or ssm... T orro rm oms av rgo > a ad s ma as s o gara vald o dral qal ˆ or all w. T rvos dral qal ojo w Lmma. garas a solo rs a arora oma s m ad s arora oma s loal oal osrvr wors. Iqal. garas a oss H olds rovdd a r s osas a < s a ollowg qal olds or all w a < ad.

5 5 roo o Torm. Frs o a or all w ollowg qal olds ˆ. Idd do.7 mls ˆ ϕ. B dsgsg ass ad > sg do.8 ad og a w old a. olds. N w sals ollowg qal ˆ or all w ad. No a qals.. ad dos ml a qal. olds or as a. Tror w os o as a <. o.7 gvs ˆ ϕ. Iqals.. ad a a ϕ mls a. olds. Morovr qals.. sow a. olds ϕ. I rmas o osdr as < ad > ϕ. I s as do.8 mls > ϕ. Iqal.5 gvs ϕ.5 sg.5. ad a a w oa ϕ Comg.. ad aov qal w old a. olds. L arrar masral ad loall ssall odd ad arrar ad osdr solo o.. w.9 al odo orrsodg o. Lmma. ojo w. ad. mls r ss ; C T s a or vr ad or vr masral ad loall ssall odd solo o.. w.9 w al odo ad orrsodg o sass ma ma or all or all T ad or all T

6 sg. ad asoll oos o w old a σ or all.6 wr T T ma. σ ad > ar osas a sas or all { } M σ ma T T ma ma ma.7 o.7 ojo w.6 ad a a ma ma all mls a. olds. T roo s oml. or advaag o osrvr dsg rovdd Torm. s a a osrvr a mlmd w samld masrms. T ollowg rsl garas dsg o a gloal samld-daa oal osrvr. Torm. Cosdr ssm.. dr oss H- ad sos a ollowg addoal oss olds H ad r ss a vor L oma or mag s dd o. s a L. Morovr r m s L C ; σ r γ > s a or vr masral ad loall ssall odd w ad or vr w M ad or vr loall odd s solo w o.. w ˆ w w [ τ τ w τ τ τ r τ τ w τ w w τ.8 sass σ γ s M s or all.9 s mar.5 a T qas o masrm rrors. I s lar a samld-daa osrvr.8 sass a -o-o sal ror w rs o masrm rror. T w qas o rraos o samlg sdl. Mor sall dsrd qal.9 s garad or vr samlg sdl w damr lss or qal a r >.. or vr s o samlg ms { } τ w τ ad τ r τ.8 s a rd ssm w varal samlg aro s []. s s also [9]. T ovrall ssm.. 6

7 Hoss H olds aomaall or olar ssms o orm. wr... ar smoo mags. I sold od a samld-daa osrvr.8 s smlar o samld-daa osrvrs osrd [9]. Howvr rsls rsd [9] ao sd ordr o rov Torm.. T raso s a qal. [9] dos o old or all ms as rqrd [9]. aalog o qal. [9] olds ar a al ras rod. T ras rod s dd so a sa o orgal ssm ad osrvr sa r a arora oma s. roo o Torm. s roo o Torm. w rs o a or all ollowg qal olds w w ˆ w. Morovr al as roo o Torm. w sow a. olds. os ad oss H ml s o a osa G s a ˆ w ˆ G w or all w w. G or all w ad. Lmma. ojo w. ad. mls r ss T C ; s a or vr w or vr masral ad loall ssall odd ad or vr loall odd s w solo w o.. w.8 al odo w w ad orrsodg o s w sass ma ma or all T ad or all T or all I ollows rom aov smas a ollowg qal olds or all { ma ma } ma. sg.. ad asoll oos o w old a G w s s σ s σ s s or all. wr { τ τ ma T T } m or all σ ad > ar osas a sas. Fall o a or vr ollowg sma olds wr τ { τ τ } w s s rg s s s s τ s ma. No a rom qal τ r ad.5 w oa σ w σ s s rg σ τ s σ s s rg σr s s s τ s σs s s τ s σs s s.5.6 7

8 Iqals. ad.6 ml ollowg qals or all s s s G σ w s s.7 s s s σ s σs s s w s s σ s s rg σr s σs s s σ.8 s Fall w assm a r > s sld so a s s G r σr <.9 Iqals.7.8 ad.9 gv ollowg sma or all s s γ s s s σ γ σ s s σ. G s wr γ G G. { τ τ ma T T } T T r r σ r m ollows a ma. Comg. ad. w old a.9 olds w { } γ M G σ r σ ma T T ma ma ma T roo s oml.. Gloal Eoal Osrvrs or sms o O s Cosdr orward oml ssm X F X X. wr s a o s s a o-m s gv m F s a smoo vor ld ad o s H X. wr H s a smoo mag. assm owldg o a smoo jv mag w ad d or all wr s Jaoa o mag s a ssm.. dr ag o oordas X s rssd.. wr ad ar smoo mags sasg F or all. H or all. wr s jaoa o mag. 8

9 T ollowg oss mls s o a adda gloal oal osrvr or ssm... Tr s a smmr ad osv d mar a osa > ad a smoo mag H w F or all H w H s a ollowg qal olds H X F X X X or all X.5 Idd oss garas a or vr X ad or vr masral ad loall ssall odd solo o ssm.. w wll sas a sma o orm X M X.6 σ or all or arora osas M σ >. Howvr ssm.6 s o ssarl a osrvr s w ao gara a or all. I ordr o sa rolm a dr wa s ov o s ag o oordas or osrvr.6.7 wr s a smoo mag. Now rolm a sad as ollows log ssm.. s orward oml ssm.. w.7 s o ssarl orward oml ssm.. s orward oml rsls [] gara s o a radall odd o ssarl osv d o C ;[ a oos o ad a osa s a or all w.8 T rolm a w osdr s so s rolm o s/dsg o a osrvr w sa w garas gloal oal ovrg orgal X oordas asd o owldg o o ad adda osrvr.6. Or ma rsl garas a dr som addoal assmos s/dsg rolm o gloal oal osrvr s solval. Torm. os a r s osas { q j } j j a > ε a smmr ad osv smd mar... w q C ; ad a oos o H [ s a ollowg qal olds or all w a ad < ε.9 { a } C. os a r s C s m or a < or all C H. 9

10 loall Ls mag H G G λ or all H. wr H λ s dd > λ or all H. ad ] [ s a arrar loall Ls o a sass s or all a s ad s or all a s. T r ss > M s a or vr masral ad loall ssall odd ad or vr X solo X o.. w G. al odo X X orrsodg o sass X M X ε or all. roo Iqal.5 ojo w dos.. ad do mls a ollowg qal olds or all. vala qa ˆ or all w a wr ˆ λ. g λ a ad ] [ s a arrar loall Ls o a sass s or all a s w oa. B dsgsg ass > ad w ma old a ollowg qal olds or all w a.5 lam a ollowg ssm s orward oml λ.6

11 T lam s rovd a d. ssm.6 s orward oml ad sg ag o oordas X w old a solo X o.. ad.6 sarg rom arrar al odo X ad orrsodg o arrar masral ad loall ssall odd ss or all ad sass X or all. vala qa ˆ wr ˆ λ. Cosdr ass a. I s as λ ad ˆ. Tror qal. mls a ˆ. a >. I s as ˆ λ ad w g ˆ λ λ.7 No a λ. I.7 mls ˆ. I < ad λ.7 mls ˆ. Ts ol as a rmas o osdrd s as < ad > λ. I s as w av λ ad >. Iqal.9 gvs ε λ T aov qal ojo w. ad.7 mls ˆ ε.8 ε w old a aov qal olds or all. sg ag o oordas X ad dral qal.8 w old a solo X o.. ad.6 sarg rom arrar al odo X ad orrsodg o arrar masral ad loall ssall odd sass or almos all ε wr X X. T s o a osa > M sasg. s a dr osq o aov dral qal. T roo s oml.

12 . Eamls I rs so w wll al rsls o rvos os o wo s amls. T rs aml s a ssm w mooo olars ad w wll al rsls o Torms. ad.. T sod aml s a mosa modl w osv sa varals ad w al osro o o. Eaml. Cosdr olar laar ssm ] [. sm. s a ssm o orm. w mooo olars. T olars ar o gloall Ls; owvr a oos gloal oal osrvr a dsgd sg modolog roosd [7]. Hr w wll dsg a oos gloal oal osrvr sg Torm. ad w wll sow a w a also dsg a ros gloal oal samld-daa osrvr sg Torm.. wll sow a oss H- old or ssm.. Frs o a oss H olds w. Idd o a qals ad gv s 5 5 wr. T aov qal sows a qal. olds w ad. N w sow a oss H olds. L q w q > > ad L L wr L L q ar osas o sld. g q L L ql L sg qals q q w oa q L L ql L

13 I w rr assm a ad wr > s a osa o sld w oa T slo q L ql L L 8 q 6q L q q 6q L. q q ojo w aov qal mls a. olds w oss H olds w arrar as wll o a.. Tror w av sowd a q sasg q > > ad >. Morovr oss H olds Fall w sow a oss H olds. Mor sall w wll sow a r s osas a < s a. olds or all [ ] w a < ad w ad. Iqal. s qval o ollowg qal L L. 8 sg qals ad L L ma L L w old a. olds rovdd a ollowg mor dmadg qal olds or all w a < ad 5 L L ma.. ms old or all w a < ad < w old a. olds aomaall rovdd ollowg qal olds ma L L a os. ml a qal.5 olds rovdd a > a > ad q > ar sld so a 6 q > ad a 5 a 5 q 6 m q.6 6 q q 6q a 5 For aml all qals old or a q mag. Tror w ar a oso o d

14 L ˆ L or all [ ] w.7 ϕ L ˆ or all [ ] w >.8 ϕ L wr ϕ [ ] s dd ϕ ma g L L.9 ad g [] s a arrar loall Ls o a sass g s or all s ad g s or all s. Torm. garas s o r > s a ssm ˆ w ˆ w w w τ τ τ τ r τ w τ [ τ τ. s a ros gloal samld-daa oal osrvr. Eaml. Cosdr mosa modl [5] X X X X. w o X ad s [ [ wr > ar osas ad [ ma ] s a loall Ls odd o w ad > or all >. sall ssm sas X ad rrs omass orao ad ssra orao rsvl o osv qas ad s a osvl vara o s a oas sall magl rajors o ssm. T rm X rrss grow ra o mroorgasms ad s a masral qa oraors w a gasos rod l aaro dgsrs wr ogas rodo ra s rooroal o mroal grow ra [6]. T ollowg adda osrvr. sass oss w sas rqrm I >. Howvr s lar a adda osrvr. dos o or all al odos ad all ms. Hr w wll al rsls o o sg smoo jv mag dd

15 5. wll osr a gloal oal osrvr or ssm. dr assmo a r ss * > s a or all ] [ *... w wll assm a s o-drasg o rval ] [ *. Idd smoo jv mag dd. allows s o drm vor lds so a all qaos.-.7 old w ad [ [. radall odd o osv d o ;[ C ma dd.5 ] ma w g or all ma ma.6 ] [ ma s a loall Ls odd o w ad > or all > r ss a osa > γ s a γ or all >. Tror.6 mls a ollowg dral qal olds or all ma ma γ sg qals γ γ ojo w aov dral qal w old a.8 olds w ma ma ma γ ad arrar osa. Fall w vala qa or all ad > sg qals ad aov qal w g or all ad > ma.7.8

16 ga sg a a r ss a osa γ > s a γ or all > ad qal γ γ w oa rom.7 ad.8 or all ad > ma γ m.9 γ ma wr > sass * l ad s o sld. Iqal.9 mls a < ad.9 olds w arrar ε or all ad > w. I ollows rom.9 a.9 olds rovdd a r ss osa ε s a ollowg qal olds or all w < < ε. sg a a s o-drasg o rval [ ] w old a. olds or all w < < rovdd a ollowg qal olds * ε. o o mls a r ss sl larg > s a ε w drl mls qal.. Tror w old a.9 olds w arrar a. T gloal oal osrvr wll gv qaos λ. wr λ s dd. ad [] s a arrar loall Ls o a sass s or all s a ad s or all s a. 5. Coldg mars Ts wor dvlod s odos or s o gloal oal osrvrs or wo lasss o olar ssms. T rs s lass o ssms w a gloall asmoall sal oma s. T sod s lass o ssms a volv o a o ror ss o. I o ass osro sars w a adda osrvr w s ssql modd addg a orro rm ordr o sas arora Laov qals. I rs lass o ssms adda osrvr s a loal osrvr ovr a ra oma s wras orro rm ors rajor o r oma s m. I sod lass o ssms adda osrvr dos o gara a osrvr rajors l w o s s s aomlsd rog a arora orro rm. T dsg o orro rm s rormd ar rasormg ssm rog a arora smoo jv ma a mas o s oo. T drvd oos-m osrvr a lad o osro o a ros gloal samld-daa oal osrvr. T das dvlod o adl sod lass o ssms old d oal s o o rasormao-asd osrvrs rlag rqrm o a domorsm o oo allowg mag o vrs ma o a o ss o. 6

17 rs [] ra M. Nolar Osrvrs Crl Crro sg ad osss alss omaa [] dr. ad L. ral O Es o a aas-ravars/lrgr Osrvr IM Joral o Corol ad Omao [] gl. ad E.. oag Forward Comlss odd Osrval ad r Laov Cararaos sms ad Corol Lrs [] sol. ad L. ral Gloal Coml Osrval ad O-o-a al ml Es o a Gloall Covrg Osrvr Mamas o Corol gals ad sms [5] Bosos. ad J. Tsas Codos o Es o wg Osrvrs or Nolar Tm- arg sms arxv.v. [6] oa oma Corol o Borosss l-ite Lodo 8. [7] Fa X. ad M. ra Osrvr sg or sms w Mlvaral Mooo Iqals sms ad Corol Lrs [8] Gar J.. ad I. a rms Osrvao Tor ad laos Camrdg vrs rss. [9] aralls I. ad C. ravars From Coos-Tm sg o amld-aa sg o Osrvrs IEEE Trasaos o oma Corol [] aralls I. ad.-. Jag al ad alao o Nolar sms. Lodo rgr-rlag. [] aas N. ad C. ravars Nolar Osrvr sg sg Laov s lar Torm sms ad Corol Lrs [] rrr M. ad. oa Evalao o Corol rags or aro gso rosss Iraoal Joral o dav Corol ad gal rossg [] osoa. Commad osro d osrvars or ls ssèms o léars ras à doés éalloés résa ss vrsé ars-d L-CN ELEC 9. [] osoa. T. md-l ad F. Lama-Lagarrg Osrvrs or lasss o olar word ssms IEEE Iraoal Ml-Cor o sms gals ad vs jra Tsa 9 [5] m H. ad. alma T Tor o Cmosa. ams o Mroal Como Camrdg ds Mamaal Bolog Camrdg vrs rss Camrdg 995. [6] Tsas J. Osrvr sg or Nolar sms sms ad Corol Lrs [7] Tsas J. Frr sls o Osrvr sg rolm sms ad Corol Lrs d roo o Lmma. T a a oma s { } 7 s osvl vara or vr masral ad loall ssall odd s a dr osq o dral qal.. N w osdr solo orrsodg o arrar. o. w arrar al odo.. > ad Tr ss ] s a solo s dd o ad ao dd <. ma { [ } [ ma ma. wll sow a. os a. Ts mls a > or all. Iqal. mls a or almos all w [ ma mls or all. C ; s radall odd ollows rom [ ma qal a solo s odd o. Ts sadard or o ordar dral qaos mls a. L > ma δ dd m{ } ma [ ma [ ma δ. Idd o a osv o δ > s a dr osq o o o ad omass o s { }. ral qal. ojo w ad > mls a δ or almos all [. Cosql w oa < or all w s a orado. δ

18 { [ } ma w d. Co o mls a > ad. Morovr osv vara o oma s { } mls a solo ss or all ad sass or all. sg a argm smlar o o sd or as w ar a oso o sals a or all [ ad wr δ { } δ m. Fall d T or all ad { } T δ m. T aov aalss garas a or all wr δ or all T ad a ma or all. Co o o T s a dr osq o o o ad a a lvl ss o ar oma ss. T roo s oml. roo o lam a ssm.6 s orward oml Frs o a or vr al odo ad vr omo o solo o ssm.6 s dd or all. Ts ollows rom a a.. s orward oml. B vr o do λ ad a a s a radall odd o w gara s o a oos o H [ s a or all w a. Iqal. ojo w.5 sows a r ss a oos o ˆ H [ s a ˆ or all. T dral qal. sows a solo o ssm.6 sass ollowg qal or almos all or w solo ss β. wr ad β ˆ. T dral qal. sows a s ds β or all or w solo ss. Morovr qal s ds β sows a rmas odd o odd rvals o m. sg a a s a radall odd o ad a sadard orado argm w old a solo o ssm.6 s dd or all. T roo s oml. 8

ELECTROMAGNETISM, NUCLEAR STRUCTURES & GRAVITATION

ELECTROMAGNETISM, NUCLEAR STRUCTURES & GRAVITATION . l & a s s Vo Flds o as l axwll a l sla () l Fld () l olasao () a Flx s () a Fld () a do () ad è s ( ). F wo Sala Flds s b dd l a s ( ) ad oool a s ( ) a oal o 4 qaos 3 aabls - w o Lal osas - oz abo Lal-Sd

More information

American International Journal of Research in Science, Technology, Engineering & Mathematics

American International Journal of Research in Science, Technology, Engineering & Mathematics Ara raoal oral of ar S oloy r & aa Avalabl ol a //wwwar SSN Pr 38-349 SSN Ol 38-358 SSN D-O 38-369 AS a rfr r-rvw llary a o a joral bl by raoal Aoao of Sf ovao a ar AS SA A Aoao fy S r a Al ar oy rao ra

More information

Existence and Uniqueness of a Solution of Differential Equations with Constant Periodic Operator Coefficients

Existence and Uniqueness of a Solution of Differential Equations with Constant Periodic Operator Coefficients rca Iraoal Joral o Coorary arc Vol 3 No 4; rl 3 xc ad Uq o a Solo o Dral qao w Coa Prodc raor Coc bab Moa Saly Fac ad drav Dar l- Balqa' ld Uvry BU Jorda brac I ar w abl a or a rov xc ad q o olo o qao

More information

Reliability Mathematics Analysis on Traction Substation Operation

Reliability Mathematics Analysis on Traction Substation Operation WSES NSCIONS o HEICS Hoh S lal aha al o rao Sao Orao HONSHEN SU Shool o oao a Elral Er azho Jaoo Ur azho 77..CHIN h@6.o ra: - I lr ralwa rao owr l h oraoal qal a rlal o h a rao raorr loo hhr o o o oaral

More information

FOR MORE PAPERS LOGON TO

FOR MORE PAPERS LOGON TO IT430 - E-Commerce Quesion No: 1 ( Marks: 1 )- Please choose one MAC sand for M d a A ss Conro a M d a A ss Consor M r of As an Co n on of s Quesion No: 2 ( Marks: 1 )- Please choose one C oos orr HTML

More information

On the Existence and uniqueness for solution of system Fractional Differential Equations

On the Existence and uniqueness for solution of system Fractional Differential Equations OSR Jourl o Mhms OSR-JM SSN: 78-578. Volum 4 ssu 3 Nov. - D. PP -5 www.osrjourls.org O h Es d uquss or soluo o ssm rol Drl Equos Mh Ad Al-Wh Dprm o Appld S Uvrs o holog Bghdd- rq Asr: hs ppr w d horm o

More information

Multi-fluid magnetohydrodynamics in the solar atmosphere

Multi-fluid magnetohydrodynamics in the solar atmosphere Mul-flud magohydrodyams h solar amoshr Tmuraz Zaqarashvl თეიმურაზ ზაქარაშვილი Sa Rsarh Isu of Ausra Aadmy of Ss Graz Ausra ISSI-orksho Parally ozd lasmas asrohyss 6 Jauary- Fbruary 04 ISSI-orksho Parally

More information

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = =

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = = L's rvs codol rol whr h v M s rssd rs o h rdo vrl. L { M } rrr v such h { M } Assu. { } { A M} { A { } } M < { } { } A u { } { } { A} { A} ( A) ( A) { A} A A { A } hs llows us o cosdr h cs wh M { } [ (

More information

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao

More information

CONSTACYCLIC CODES OF LENGTH OVER A FINITE FIELD

CONSTACYCLIC CODES OF LENGTH OVER A FINITE FIELD Jorl o Algbr Nbr Tory: Ac Alco Vol 5 Nbr 6 Pg 4-64 Albl ://ccc.co. DOI: ://.o.org/.864/_753 ONSTAYLI ODES OF LENGTH OVER A FINITE FIELD AITA SAHNI POONA TRAA SEHGAL r or Ac Sy c Pb Ury gr 64 I -l: 5@gl.co

More information

Two-Dimensional Quantum Harmonic Oscillator

Two-Dimensional Quantum Harmonic Oscillator D Qa Haroc Oscllaor Two-Dsoal Qa Haroc Oscllaor 6 Qa Mchacs Prof. Y. F. Ch D Qa Haroc Oscllaor D Qa Haroc Oscllaor ch5 Schrödgr cosrcd h cohr sa of h D H.O. o dscrb a classcal arcl wh a wav ack whos cr

More information

Priority Search Trees - Part I

Priority Search Trees - Part I .S. 252 Pro. Rorto Taassa oputatoal otry S., 1992 1993 Ltur 9 at: ar 8, 1993 Sr: a Q ol aro Prorty Sar Trs - Part 1 trouto t last ltur, w loo at trval trs. or trval pot losur prols, ty us lar spa a optal

More information

Ch. 22: Classical Theory of Harmonic Crystal

Ch. 22: Classical Theory of Harmonic Crystal C. : Clssl Toy o mo Cysl gl o ml moo o o os l s ld o ls o pl ollowg:. Eqlbm Pops p o ls d Islos Eqlbm sy d Cos Egs Tml Epso d lg. Tspo Pops T pd o lo Tm Fl o Wdm-Fz Lw pody Tml Cody o Islos Tsmsso o od.

More information

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction F Dtto Roto Lr Alr F Roto C Y I Ursty O solto: tto o l trs s s ys os ot. Dlt to t to ltpl ws. F Roto Aotr ppro: ort y rry s tor o so E.. 56 56 > pot 6556- stol sp A st o s t ps to ollto o pots ts sp. F

More information

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system 8. Quug sysms Cos 8. Quug sysms Rfrshr: Sml lraffc modl Quug dscl M/M/ srvr wag lacs Alcao o ack lvl modllg of daa raffc M/M/ srvrs wag lacs lc8. S-38.45 Iroduco o Tlraffc Thory Srg 5 8. Quug sysms 8.

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

Introduction to Finite Element Method

Introduction to Finite Element Method p. o C d Eo E. Iodo o E Mod s H L p. o C d Eo E o o s Ass L. o. H L p://s.s.. p. o C d Eo E. Cos. Iodo. Appoo o os & o Cs. Eqos O so. Mdso os-es 5. szo 6. wo so Es os 7. os ps o Es 8. Io 9. Co C Isop E.

More information

On the Hubbard-Stratonovich Transformation for Interacting Bosons

On the Hubbard-Stratonovich Transformation for Interacting Bosons O h ubbrd-sroovh Trsformo for Irg osos Mr R Zrbur ff Fbrury 8 8 ubbrd-sroovh for frmos: rmdr osos r dffr! Rdom mrs: hyrbol S rsformo md rgorous osus for rg bosos /8 Wyl grou symmry L : G GL V b rrso of

More information

Almost unbiased exponential estimator for the finite population mean

Almost unbiased exponential estimator for the finite population mean Almos ubasd poal smaor for f populao ma Rajs Sg, Pakaj aua, ad rmala Saa, Scool of Sascs, DAVV, Idor (M.P., Ida (rsgsa@aoo.com Flor Smaradac ar of Dparm of Mamacs, Uvrs of Mco, Gallup, USA (smarad@um.du

More information

Bayesian Reliability Modeling Using Monte Carlo Integration

Bayesian Reliability Modeling Using Monte Carlo Integration Joural o Modr Appld asal Mods Volu 4 Issu Arl 8 5--5 Baysa laly Modl Us Mo Carlo Irao V A.. Caara Uvrsy o ou Florda vaara@. Crs P. Tsokos Uvrsy o ou Florda prop@as.us.du Follow s ad addoal works a: p://daloos.way.du/as

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology I. J. Pur Al. S. Thol.. 4-6 Iraoal Joural o Pur ad Ald S ad Tholog ISSN 9-67 Avalabl ol a www.joaaa. Rarh Par Blaral Lala-Mll Igral Traorm ad Alao S.M. Kharar * R.M. P ad J. N. Saluk 3 Darm o Egrg Mahma

More information

(heat loss divided by total enthalpy flux) is of the order of 8-16 times

(heat loss divided by total enthalpy flux) is of the order of 8-16 times 16.51, Rok Prolson Prof. Manl Marnz-Sanhz r 8: Convv Ha ransfr: Ohr Effs Ovrall Ha oss and Prforman Effs of Ha oss (1) Ovrall Ha oss h loal ha loss r n ara s q = ρ ( ) ngrad ha loss s a S, and sng m =

More information

ON A RISK MODEL WITH A CONSTANT DIVIDEND AND DEBIT INTEREST

ON A RISK MODEL WITH A CONSTANT DIVIDEND AND DEBIT INTEREST Joral of Pr ad Appld ahas: Advas ad Applaos ol Nr Pags 87-4 ON A RSK ODEL WTH A CONSTANT DDEND AND DEBT NTEREST YUZHEN WEN Shool of ahaal Ss Qf Noral Uvrs Qf Shadog 765 P. R. Cha -al: wh@6.o Asra hs papr

More information

Vertical Sound Waves

Vertical Sound Waves Vral Sond Wavs On an drv h formla for hs avs by onsdrn drly h vral omonn of momnm qaon hrmodynam qaon and h onny qaon from 5 and hn follon h rrbaon mhod and assmn h snsodal solons. Effvly h frs ro and

More information

J = 1 J = 1 0 J J =1 J = Bout. Bin (1) Ey = 4E0 cos(kz (2) (2) (3) (4) (5) (3) cos(kz (1) ωt +pπ/2) (2) (6) (4) (3) iωt (3) (5) ωt = π E(1) E = [E e

J = 1 J = 1 0 J J =1 J = Bout. Bin (1) Ey = 4E0 cos(kz (2) (2) (3) (4) (5) (3) cos(kz (1) ωt +pπ/2) (2) (6) (4) (3) iωt (3) (5) ωt = π E(1) E = [E e ) ) Cov&o for rg h of olr&o for gog o&v r&o: - Look wv rog&g owr ou (look r&o). - F r wh o&o of fil vor. - I h CCWLHCP CWRHCP - u &l & hv oo g, h lr- fil vor r ou rgh- h orkrw for RHCP! 3) For h followg

More information

Quantum Properties of Idealized GW Detector

Quantum Properties of Idealized GW Detector Qm Prors of Idlzd GW Dor Sg Pyo Km Ks N l Uvrsy Osk Uvrsy J 3 Th 4 h Kor-J Worksho o KAGRA Ol Idlzd Dor for Grvol Wvs Qm Thory for Dsso Wgr Fo of Tm-Dd Osllor Dmd Osllor Drv by Erl Fors Colso Idlzd Dor

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 St Ssts o Ordar Drtal Equatos Novbr 7 St Ssts o Ordar Drtal Equatos Larr Cartto Mcacal Er 5A Sar Er Aalss Novbr 7 Outl Mr Rsults Rvw last class Stablt o urcal solutos Stp sz varato or rror cotrol Multstp

More information

On the Solution of Nonlinear Partial Differential Equation of Fractional Order

On the Solution of Nonlinear Partial Differential Equation of Fractional Order aacal a oaoal os Scc a r O Solo o olar Paral Dral qao o racoal Orr AAbo l-kook & S A aa 3 aacs Dar acly o cao Alara rsy GYPablla_777@yaooco aacs Dar oll o Sccs a Ars ass rsy SADI AAIA aa_ko@oalco 3 aacs

More information

Boyce/DiPrima/Meade 11 th ed, Ch 4.1: Higher Order Linear ODEs: General Theory

Boyce/DiPrima/Meade 11 th ed, Ch 4.1: Higher Order Linear ODEs: General Theory Bo/DiPima/Mad h d Ch.: High Od Lia ODEs: Gal Tho Elma Diffial Eqaios ad Boda Val Poblms h diio b William E. Bo Rihad C. DiPima ad Dog Mad 7 b Joh Wil & Sos I. A h od ODE has h gal fom d d P P P d d W assm

More information

Reliability analysis of time - dependent stress - strength system when the number of cycles follows binomial distribution

Reliability analysis of time - dependent stress - strength system when the number of cycles follows binomial distribution raoal Joural of Sascs ad Ssms SSN 97-675 Volum, Numbr 7,. 575-58 sarch da Publcaos h://www.rublcao.com labl aalss of m - dd srss - srgh ssm wh h umbr of ccls follows bomal dsrbuo T.Sumah Umamahswar, N.Swah,

More information

, k fftw ' et i 7. " W I T H M A. L I O E T O W A R 3 D JSrOKTE X l S T E O H A R I T Y F O R A L L. FIRE AT^ 10N1A, foerohlng * M».

, k fftw ' et i 7.  W I T H M A. L I O E T O W A R 3 D JSrOKTE X l S T E O H A R I T Y F O R A L L. FIRE AT^ 10N1A, foerohlng * M». VOZ O } 0U OY? V O O O O R 3 D SO X S O R Y F O R 59 VO O OUY URY 2 494 O 3 S? SOS OU 0 S z S $500 $450 $350 S U R Y Sz Y 50 300 @ 200 O 200 @ $60 0 G 200 @ $50 S RGS OYS SSS D DRS SOS YU O R D G Y F!

More information

Chapter 5. Long Waves

Chapter 5. Long Waves ape 5. Lo Waes Wae e s o compaed ae dep: < < L π Fom ea ae eo o s s ; amos ozoa moo z p s ; dosac pesse Dep-aeaed coseao o mass

More information

Part I- Wave Reflection and Transmission at Normal Incident. Part II- Wave Reflection and Transmission at Oblique Incident

Part I- Wave Reflection and Transmission at Normal Incident. Part II- Wave Reflection and Transmission at Oblique Incident Apl 6, 3 Uboudd Mda Gudd Mda Chap 7 Chap 8 3 mls 3 o 3 M F bad Lgh wavs md by h su Pa I- Wav Rlo ad Tasmsso a Nomal Id Pa II- Wav Rlo ad Tasmsso a Oblqu Id Pa III- Gal Rlao Bw ad Wavguds ad Cavy Rsoao

More information

Gauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year

Gauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year Gau Thors Elmary Parcl Physcs Sro Iraco Fomoloy o Bo cadmc yar - Gau Ivarac Gau Ivarac Whr do Laraas or Hamloas com from? How do w kow ha a cra raco should dscrb a acual hyscal sysm? Why s h lcromac raco

More information

Overview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983).

Overview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983). Ovrvw B r rh r: R-k r -3-4 r 00 Ig L Gør Amor Dm rogrmmg Nwork fow Srg mhg Srg g Comuo gomr Irouo o NP-om Rom gorhm B r rh r -3-4 r Aow,, or 3 k r o Prf Evr h from roo o f h m gh mr h E w E R E R rgr h

More information

Chapter 1 Fundamentals in Elasticity

Chapter 1 Fundamentals in Elasticity Fs s ν . Po Dfo ν Ps s - Do o - M os - o oos : o o w Uows o: - ss - - Ds W ows s o qos o so s os. w ows o fo s o oos s os of o os. W w o s s ss: - ss - - Ds - Ross o ows s s q s-s os s-sss os .. Do o ..

More information

Analytic and Numeric Solution of Nonlinear Partial Differential Equations of Fractional Order

Analytic and Numeric Solution of Nonlinear Partial Differential Equations of Fractional Order Aalyc a rc Solo o olar Paral Dral qaos o racoal Orr A ADO KOJOK & S A AAD Absrac h sc a qss solo o h achy robl ar scss a ro a aach sac o lck ho a Pcar ho o h rors c a solo o ossss oror so rors cocr h sably

More information

THE ROYAL STATISTICAL SOCIETY 2016 EXAMINATIONS SOLUTIONS GRADUATE DIPLOMA MODULE 1

THE ROYAL STATISTICAL SOCIETY 2016 EXAMINATIONS SOLUTIONS GRADUATE DIPLOMA MODULE 1 TH ROAL TATITICAL OCIT 6 AINATION OLTION GRADAT DILOA ODL T oci i providig olio o ai cadida prparig or aiaio i 7. T olio ar idd a larig aid ad old o b a "odl awr". r o olio old alwa b awar a i a ca r ar

More information

Approximate Integration. Left and Right Endpoint Rules. Midpoint Rule = 2. Riemann sum (approximation to the integral) Left endpoint approximation

Approximate Integration. Left and Right Endpoint Rules. Midpoint Rule = 2. Riemann sum (approximation to the integral) Left endpoint approximation M lculus II Tcqus o Igros: Approm Igro -- pr 8.7 Approm Igro M lculus II Tcqus o Igros: Approm Igro -- pr 8.7 7 L d Rg Edpo Ruls Rm sum ppromo o grl L dpo ppromo Rg dpo ppromo clculus ppls d * L d R d

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

counting statistics in thermal transport in nanojunctions

counting statistics in thermal transport in nanojunctions rs bhvor d fll cog sscs hrml rspor ojcos J-Shg Wg Dp PhysNUS Ol of h lk rodco Mhod of oqlbrm r s fcos Applcos hrml crrs D ch d obs rs problm Fll cog sscs MS workshop Forr s lw for h codco J [ ] f f d Forr

More information

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES TRANSFORMATION OF FUNCTION OF A RANDOM VARIABLE UNIVARIATE TRANSFORMATIONS TRANSFORMATION OF RANDOM VARIABLES If s a rv wth cdf F th Y=g s also a rv. If w wrt

More information

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee.

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee. B Pror NTERV FL/VAL ~RA1::1 1 21,, 1989 i n or Socil,, fir ll, Pror Fr rcru Sy Ar you lir SDC? Y, om um SM: corr n 'd m vry ummr yr. Now, y n y, f pr my ry for ummr my 1 yr Un So vr ummr cour d rr o l

More information

Chapter 1 Fundamentals in Elasticity

Chapter 1 Fundamentals in Elasticity Fs s ν . Ioo ssfo of ss Ms 분체역학 G Ms 역학 Ms 열역학 o Ms 유체역학 F Ms o Ms 고체역학 o Ms 구조해석 ss Dfo of Ms o o w oo of os o of fos s s w o s s. Of fs o o of oo fos os o o o. s s o s of s os s o s o o of fos o. G fos

More information

Planar convex hulls (I)

Planar convex hulls (I) Covx Hu Covxty Gv st P o ots 2D, tr ovx u s t sst ovx oyo tt ots ots o P A oyo P s ovx or y, P, t st s try P. Pr ovx us (I) Coutto Gotry [s 3250] Lur To Bowo Co ovx o-ovx 1 2 3 Covx Hu Covx Hu Covx Hu

More information

CHAPTER 7. X and 2 = X

CHAPTER 7. X and 2 = X CHATR 7 Sco 7-7-. d r usd smors o. Th vrcs r d ; comr h S vrc hs cs / / S S Θ Θ Sc oh smors r usd mo o h vrcs would coclud h s h r smor wh h smllr vrc. 7-. [ ] Θ 7 7 7 7 7 7 [ ] Θ ] [ 7 6 Boh d r usd sms

More information

NEW FLOODWAY (CLOMR) TE TE PIN: GREENS OF ROCK HILL, LLC DB: 12209, PG: ' S67 46'18"E APPROX. FLOODWAY NEW BASE FLOOD (CLOMR)

NEW FLOODWAY (CLOMR) TE TE PIN: GREENS OF ROCK HILL, LLC DB: 12209, PG: ' S67 46'18E APPROX. FLOODWAY NEW BASE FLOOD (CLOMR) W LOOWY (LOMR) RVRWLK PKWY ROK HLL, S PPROX. LOOWY W BS LOO (LOMR) lient nformation 4 SS- RM:4 V : PV Pipe V OU: PV Pipe JB SS- RM: V OU: PV Pipe RU R " PV Pipe @. LO SPS OL SSBL GRL ORMO: S OS: M BS LOO

More information

Almost Unbiased Exponential Estimator for the Finite Population Mean

Almost Unbiased Exponential Estimator for the Finite Population Mean Rajs Sg, Pakaj aua, rmala Saa Scool of Sascs, DAVV, Idor (M.P., Ida Flor Smaradac Uvrs of Mco, USA Almos Ubasd Epoal Esmaor for F Populao Ma Publsd : Rajs Sg, Pakaj aua, rmala Saa, Flor Smaradac (Edors

More information

Introduction to Laplace Transforms October 25, 2017

Introduction to Laplace Transforms October 25, 2017 Iroduco o Lplc Trform Ocobr 5, 7 Iroduco o Lplc Trform Lrr ro Mchcl Egrg 5 Smr Egrg l Ocobr 5, 7 Oul Rvw l cl Wh Lplc rform fo of Lplc rform Gg rform b gro Fdg rform d vr rform from bl d horm pplco o dffrl

More information

Fractal diffusion retrospective problems

Fractal diffusion retrospective problems Iraoa ora o App Mahac croc a Copr Avac Tchoo a Scc ISSN: 47-8847-6799 wwwaccor/iamc Ora Rarch Papr Fraca o rropcv prob O Yaro Rcv 6 h Ocobr 3 Accp 4 h aar 4 Abrac: I h arc w h rropcv vr prob Th rropcv

More information

A Class of Harmonic Meromorphic Functions of Complex Order

A Class of Harmonic Meromorphic Functions of Complex Order Borg Irol Jourl o D Mg Vol 2 No 2 Ju 22 22 A Clss o rmoc Mromorpc Fucos o Complx Ordr R Elrs KG Surm d TV Sudrs Asrc--- T sml work o Clu d Sl-Smll [3] o rmoc mppgs gv rs o suds o suclsss o complx-vlud

More information

Lecture 12: Introduction to nonlinear optics II.

Lecture 12: Introduction to nonlinear optics II. Lcur : Iroduco o olar opcs II r Kužl ropagao of srog opc sgals propr olar ffcs Scod ordr ffcs! Thr-wav mxg has machg codo! Scod harmoc grao! Sum frqucy grao! aramrc grao Thrd ordr ffcs! Four-wav mxg! Opcal

More information

Oscillations of Hyperbolic Systems with Functional Arguments *

Oscillations of Hyperbolic Systems with Functional Arguments * Avll ://vmd/gs/9/s Vol Iss Dcmr 6 95 Prvosly Vol No Alcons nd Ald mcs AA: An Inrnonl Jornl Asrc Oscllons of Hyrolc Sysms w Fnconl Argmns * Y So Fcly of Engnrng nzw Unvrsy Isw 9-9 Jn E-ml: so@nzw-c Noro

More information

Chapter 1 Fundamentals in Elasticity

Chapter 1 Fundamentals in Elasticity Fs s . Ioo ssfo of ss Ms 분체역학 G Ms 역학 Ms 열역학 o Ms 유체역학 F Ms o Ms 고체역학 o Ms 구조해석 ss Dfo of Ms o B o w oo of os o of fos s s w o s s. Of fs o o of oo fos os o o o. s s o s of s os s o s o o of fos o. G fos

More information

EE 232 Lightwave Devices. Photodiodes

EE 232 Lightwave Devices. Photodiodes EE 3 Lgwav Dvcs Lcur 8: oocoucors a p-- ooos Rag: Cuag, Cap. 4 Isrucor: Mg C. Wu Uvrsy of Calfora, Brkly Elcrcal Egrg a Compur Sccs Dp. EE3 Lcur 8-8. Uvrsy of Calfora oocoucors ω + - x Ara w L Euval Crcu

More information

IMPUTATION USING REGRESSION ESTIMATORS FOR ESTIMATING POPULATION MEAN IN TWO-PHASE SAMPLING

IMPUTATION USING REGRESSION ESTIMATORS FOR ESTIMATING POPULATION MEAN IN TWO-PHASE SAMPLING Joural of Rlal ad asal uds; I (Pr: 097-80, (Ol:9- ol., Issu (0: - IPUAIO UIG RGRIO IAOR FOR IAIG POPUAIO A I WO-PHA APIG ardra gh hakur, Kalpaa adav ad harad Pahak r for ahmaal s (, Baashal Uvrs, Rajasha,

More information

An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair

An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair Mor ppl Novmbr 8 N-Compo r Rparabl m h Rparma Dog Ohr ork a ror Rpar Jag Yag E-mal: jag_ag7@6om Xau Mg a uo hg ollag arb Normal Uvr Yaq ua Taoao ag uppor b h Fouao or h aural o b prov o Cha 5 uppor b h

More information

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues BocDPm 9 h d Ch 7.6: Compl Egvlus Elm Dffl Equos d Boud Vlu Poblms 9 h do b Wllm E. Boc d Rchd C. DPm 9 b Joh Wl & Sos Ic. W cosd g homogous ssm of fs od l quos wh cos l coffcs d hus h ssm c b w s ' A

More information

Root behavior in fall and spring planted roses...

Root behavior in fall and spring planted roses... Rerospecive Theses and Disseraions Iowa Sae Universiy Capsones, Theses and Disseraions 1-1-1949 Roo behavior in fall and spring planed roses... Griffih J. Buck Iowa Sae College Follow his and addiional

More information

Beechwood Music Department Staff

Beechwood Music Department Staff Beechwood Music Department Staff MRS SARAH KERSHAW - HEAD OF MUSIC S a ra h K e rs h a w t r a i n e d a t t h e R oy a l We ls h C o l le g e of M u s i c a n d D ra m a w h e re s h e ob t a i n e d

More information

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals MECE 330 MECE 330 Masurms & Isrumao Sac ad Damc Characrscs of Sgals Dr. Isaac Chouapall Dparm of Mchacal Egrg Uvrs of Txas Pa Amrca MECE 330 Sgal Cocps A sgal s h phscal formao abou a masurd varabl bg

More information

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings.

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings. T H S PA G E D E CLA SSFED AW E O 2958 RS u blc Recod Key fo maon Ma n AR MATEREL COMM ND D cumen Type Call N u b e 03 V 7 Rcvd Rel 98 / 0 ndexe D 38 Eneed Dae RS l umbe 0 0 4 2 3 5 6 C D QC d Dac A cesson

More information

Bayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP

Bayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP By Cly o c o Lo Rc Rg By M Coco L Cl & Pcoc LLP GIRO coc 4 Ac Th pp c how o v cly wgh w po- pc-v o c o lo c. Th po co o Poo-Po ol ch wh po G o. Kywo c o lo c g By cly Poo Po G po Acowlg cl I wol l o h

More information

How delay equations arise in Engineering? Gábor Stépán Department of Applied Mechanics Budapest University of Technology and Economics

How delay equations arise in Engineering? Gábor Stépán Department of Applied Mechanics Budapest University of Technology and Economics How y quos rs Egrg? Gábor Sépá Dprm of App Ms Bups Ursy of Toogy Eooms Cos Aswr: Dy quos rs Egrg by o of bos by formo sysm of oro - Lr sby bfuros summry - M oo bros - Smmyg ws of rus moorys - Bg um robo

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

A Review of Dynamic Models Used in Simulation of Gear Transmissions

A Review of Dynamic Models Used in Simulation of Gear Transmissions ANALELE UNIVERSITĂłII ETIMIE MURGU REŞIłA ANUL XXI NR. ISSN 5-797 Zol-Ios Ko Io-ol Mulu A Rvw o ls Us Sulo o G Tsssos Th vsgo o lv s lu gg g olg l us o sov sg u o pps g svl s oug o h ps. Th pupos o h ols

More information

Unbalanced Panel Data Models

Unbalanced Panel Data Models Ubalacd Pal Data odls Chaptr 9 from Baltag: Ecoomtrc Aalyss of Pal Data 5 by Adrás alascs 4448 troducto balacd or complt pals: a pal data st whr data/obsrvatos ar avalabl for all crosssctoal uts th tr

More information

A Simple Representation of the Weighted Non-Central Chi-Square Distribution

A Simple Representation of the Weighted Non-Central Chi-Square Distribution SSN: 9-875 raoa Joura o ovav Rarch Scc grg a Tchoogy (A S 97: 7 Cr rgaao) Vo u 9 Sbr A S Rrao o h Wgh No-Cra Ch-Squar Drbuo Dr ay A hry Dr Sahar A brah Dr Ya Y Aba Proor D o Mahaca Sac u o Saca Su a Rarch

More information

Gavilan JCCD Trustee Areas Plan Adopted October 13, 2015

Gavilan JCCD Trustee Areas Plan Adopted October 13, 2015 S Jos Gvil JCCD Trust Ar Pl Aopt Octobr, 0 p Lrs Pl Aopt Oct, 0 Cit/Csus Dsigt Plc ighw US 0 Cit Arom ollistr igmr S Jos Trs Pios cr Ps 4 ut S Bito ut 0 0 ils Arom ollistr igmr Trs Pios 7 S Bito ut Lpoff

More information

'5E _ -- -=:... --!... L og...

'5E _ -- -=:... --!... L og... F U T U R E O F E M B E D D I N G A N D F A N - O U T T E C H N O L O G I E S R a o T u m m a l a, P h. D ; V e n k y S u n d a r a m, P h. D ; P u l u g u r t h a M. R a j, P h. D ; V a n e s s a S m

More information

The Adaptive Control System of A MEMS Gyroscope with Time-varying Rotation Rate

The Adaptive Control System of A MEMS Gyroscope with Time-varying Rotation Rate 5 mrca Corol Cofrc J 8-, 5 Porlad, OR, US Fr64 T da Corol Ssm of MEMS Grosco w Tm-arg Roao Ra Ll Dog, Sd Mmbr, IEEE ad Robr P Llad, Mmbr, IEEE bsrac: Ts ar rss a w ada corol ssm o corol bo axs of a braoal

More information

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l

More information

Convergence of Quintic Spline Interpolation

Convergence of Quintic Spline Interpolation Inrnaonal Journal o ompur Applcaons 97 8887 Volum 7 No., Aprl onvrgnc o Qunc Spln Inrpolaon Y.P. Dub Dparmn O Mamacs, L.N..T. Jabalpur 8 Anl Sukla Dparmn O Mamacs Gan Ganga ollg O Tcnog, Jabalpur 8 ASTRAT

More information

, R we have. x x. ) 1 x. R and is a positive bounded. det. International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:06 11

, R we have. x x. ) 1 x. R and is a positive bounded. det. International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:06 11 raioal Joral of asic & ppli Scics JS-JENS Vol: No:6 So Dirichl ors a Pso Diffrial Opraors wih Coiioall Epoial Cov cio aa. M. Kail Dpar of Mahaics; acl of Scic; Ki laziz Uivrsi Jah Sai raia Eail: fkail@ka..sa

More information

Overview. Review Elliptic and Parabolic. Review General and Hyperbolic. Review Multidimensional II. Review Multidimensional

Overview. Review Elliptic and Parabolic. Review General and Hyperbolic. Review Multidimensional II. Review Multidimensional Mlil idd variabls March 9 Mlidisioal Parial Dirial Eaios arr aro Mchaical Egirig 5B iar i Egirig Aalsis March 9 Ovrviw Rviw las class haracrisics ad classiicaio o arial dirial aios Probls i or ha wo idd

More information

Lecture #11. A Note of Caution

Lecture #11. A Note of Caution ctur #11 OUTE uctos rvrs brakdow dal dod aalyss» currt flow (qualtatv)» morty carrr dstrbutos Radg: Chatr 6 Srg 003 EE130 ctur 11, Sld 1 ot of Cauto Tycally, juctos C dvcs ar formd by coutr-dog. Th quatos

More information

82A Engineering Mathematics

82A Engineering Mathematics Class Nos 5: Sod Ordr Diffrial Eqaio No Homoos 8A Eiri Mahmais Sod Ordr Liar Diffrial Eqaios Homoos & No Homoos v q Homoos No-homoos q ar iv oios fios o h o irval I Sod Ordr Liar Diffrial Eqaios Homoos

More information

Equation For non-self Energizing Gasket

Equation For non-self Energizing Gasket Jun 0 0:05: - ASMEScDiv_WNFlangDsign.sm Dsign of Wld Nck Flang as pr ASME Scion Division ar.6 Dsign ol oads STE : Dsign ondiion Dsign rssur 0. Ma Dsign Tmpraur T 80 d STE : ask Facors 'm' and Minimum Dsign

More information

-Z ONGRE::IONAL ACTION ON FY 1987 SUPPLEMENTAL 1/1

-Z ONGRE::IONAL ACTION ON FY 1987 SUPPLEMENTAL 1/1 -Z-433 6 --OGRE::OA ATO O FY 987 SUPPEMETA / APPR)PRATO RfQUEST PAY AD PROGRAM(U) DE ARTMET OF DEES AS O' D 9J8,:A:SF ED DEFS! WA-H ODM U 7 / A 25 MRGOPf RESOUTO TEST HART / / AD-A 83 96 (~Go w - %A uj

More information

Quantum Harmonic Oscillator

Quantum Harmonic Oscillator Quu roc Oscllor Quu roc Oscllor 6 Quu Mccs Prof. Y. F. C Quu roc Oscllor Quu roc Oscllor D S..O.:lr rsorg forc F k, k s forc cos & prbolc pol. V k A prcl oscllg roc pol roc pol s u po of sbly sys 6 Quu

More information

Council Forms Bloc For Crnrus Mediation

Council Forms Bloc For Crnrus Mediation G RY Of ; O Of 5 ; B k 7 f - L F 7 96 55 Q * x k k O F B F R R-- Bk j f K k f «* v k f F B - k f O k f J "Oz x f ff - q k R () ff kk f k k O f 5 f - f " v v ' z f k " v " v v z 95 k " Kfv k 963 ff ff f

More information

Ash Wednesday. First Introit thing. * Dómi- nos. di- di- nos, tú- ré- spi- Ps. ne. Dó- mi- Sál- vum. intra-vé-runt. Gló- ri-

Ash Wednesday. First Introit thing. * Dómi- nos. di- di- nos, tú- ré- spi- Ps. ne. Dó- mi- Sál- vum. intra-vé-runt. Gló- ri- sh Wdsdy 7 gn mult- tú- st Frst Intrt thng X-áud m. ns ní- m-sr-cór- Ps. -qu Ptr - m- Sál- vum m * usqu 1 d fc á-rum sp- m-sr-t- ó- num Gló- r- Fí- l- Sp-rí- : quó-n- m ntr-vé-runt á- n-mm c * m- quó-n-

More information

Special Curves of 4D Galilean Space

Special Curves of 4D Galilean Space Irol Jourl of Mhml Egrg d S ISSN : 77-698 Volum Issu Mrh hp://www.jms.om/ hps://ss.googl.om/s/jmsjourl/ Spl Curvs of D ll Sp Mhm Bkş Mhmu Ergü Alpr Osm Öğrmş Fır Uvrsy Fuly of S Dprm of Mhms 9 Elzığ Türky

More information

Dr. Junchao Xia Center of Biophysics and Computational Biology. Fall /21/2016 1/23

Dr. Junchao Xia Center of Biophysics and Computational Biology. Fall /21/2016 1/23 BIO53 Bosascs Lcur 04: Cral Lm Thorm ad Thr Dsrbuos Drvd from h Normal Dsrbuo Dr. Juchao a Cr of Bophyscs ad Compuaoal Bology Fall 06 906 3 Iroduco I hs lcur w wll alk abou ma cocps as lsd blow, pcd valu

More information

2 tel

2   tel Us. Timeless, sophisticated wall decor that is classic yet modern. Our style has no limitations; from traditional to contemporar y, with global design inspiration. The attention to detail and hand- craf

More information

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps

More information

How to construct international inputoutput

How to construct international inputoutput How to construct international inputoutput tables (with the smallest effort) Satoshi Inomata Institute of Developing Economies JETRO OVERVIEW (1) Basic picture of an international input-output table (IIOT)

More information

Executive Committee and Officers ( )

Executive Committee and Officers ( ) Gifted and Talented International V o l u m e 2 4, N u m b e r 2, D e c e m b e r, 2 0 0 9. G i f t e d a n d T a l e n t e d I n t e r n a t i o n a2 l 4 ( 2), D e c e m b e r, 2 0 0 9. 1 T h e W o r

More information

11/8/2002 CS 258 HW 2

11/8/2002 CS 258 HW 2 /8/ CS 58 HW. G o a a qc of aa h < fo a I o goa o co a C cc c F ch ha F fo a I A If cc - c a co h aoa coo o ho o choo h o qc? I o g o -coa o o-coa? W ca choo h o qc o h a a h aa a. Tha f o o a h o h a:.

More information

Assessing Student Work MATH RUBRIC. Understanding Reasoning Accuracy Communication

Assessing Student Work MATH RUBRIC. Understanding Reasoning Accuracy Communication Assssg Sud Wk MATH RUBRIC E x 4 P a 3 A 2 N v 1 Udsadg Rasg Auay Cmmua Uss wful ad hugh Th dus a sags ladg dly gazd hughu ad ffv slus. asly fllwd by hs. Exls, aalyzs, ad All fas ad alulas jusfs all lams

More information

Petru P. Blaga-Reducing of variance by a combined scheme based on Bernstein polynomials

Petru P. Blaga-Reducing of variance by a combined scheme based on Bernstein polynomials Ptru P Blaa-Rdu o vara by a obd sh basd o Brst olyoals REUCG OF VARACE BY A COMBE SCHEME BASE O BERSTE POYOMAS by Ptru P Blaa Abstrat A obd sh o th otrol varats ad whtd uor sal thods or rdu o vara s vstatd

More information

APPENDIX F WATER USE SUMMARY

APPENDIX F WATER USE SUMMARY APPENDX F WATER USE SUMMARY From Past Projects Town of Norman Wells Water Storage Facltes Exstng Storage Requrements and Tank Volume Requred Fre Flow 492.5 m 3 See Feb 27/9 letter MACA to Norman Wells

More information

- Prefixes 'mono', 'uni', 'bi' and 'du' - Why are there no asprins in the jungle? Because the parrots ate them all.

- Prefixes 'mono', 'uni', 'bi' and 'du' - Why are there no asprins in the jungle? Because the parrots ate them all. - Prfs '', '', 'b' a '' - Na: Wrsar 27 Dat: W ar tr asrs t? Bas t arrts at t a. At t btt f t a s a st f wrs. Ts wrs ar t. T wrs av b a rta (ra arss), vrta (ra w) r aa (fr rr t rr). W f a wr, raw a at r

More information

Chapter 2. Review of Hydrodynamics and Vector Analysis

Chapter 2. Review of Hydrodynamics and Vector Analysis her. Ree o Hdrodmcs d Vecor Alss. Tlor seres L L L L ' ' L L " " " M L L! " ' L " ' I s o he c e romed he Tlor seres. O he oher hd ' " L . osero o mss -dreco: L L IN ] OUT [mss l [mss l] mss ccmled h me

More information

tcvrn Hl1 J M Hamilton P Eng Chief Geologist Kimberley Northing m Northing m I FEB 24 1QP Northing m Gold Commiuioner

tcvrn Hl1 J M Hamilton P Eng Chief Geologist Kimberley Northing m Northing m I FEB 24 1QP Northing m Gold Commiuioner SVA M OMO TD KOOT GROP ASSSSMT RPORT KMBRY B Th fwn rpr dsrbs h rss f drn Dand Dr H K 8 4 a 8 r h D D H K 8 5 a 9 5 r h D D H K 8 5A a 67 38 r h D D H K 8 6 a 8 69 r h and D D H K 8 7 a 77 72 r h n h ana

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

NUMERICAL SIMULATION OF NOZZLE FLOW WITH CHEMICAL EQUILIBRIUM

NUMERICAL SIMULATION OF NOZZLE FLOW WITH CHEMICAL EQUILIBRIUM VOL. 8 NO. 5 MAY ISSN 89-668 APN Jral f grg ad Ald Ss 6- Asa sar Pblsg Nwr APN. All rgs rsrd. www.arrals.m NMICAL SIMLATION O NOZZL LOW WIT CMICAL ILIBIM Mamd A. Al Kad ad ar M. Ows Arsa grg Darm al f

More information

Lecture 1: Empirical economic relations

Lecture 1: Empirical economic relations Ecoomcs 53 Lctur : Emprcal coomc rlatos What s coomtrcs? Ecoomtrcs s masurmt of coomc rlatos. W d to kow What s a coomc rlato? How do w masur such a rlato? Dfto: A coomc rlato s a rlato btw coomc varabls.

More information

Convergence tests for the cluster DFT calculations

Convergence tests for the cluster DFT calculations Covgc ss o h clus DF clculos. Covgc wh spc o bss s. s clculos o bss s covgc hv b po usg h PBE ucol o 7 os gg h-b. A s o h Guss bss ss wh csg s usss hs b us clug h -G -G** - ++G(p). A l sc o. Å h c bw h

More information

Applications of semi-markov processes in reliability

Applications of semi-markov processes in reliability rbk Alco o m-mrko roc rlbl - TA # 3-4 7 Dcmbr - Scl I rbk rczk Nl Ur d old Alco o m-mrko roc rlbl Kword m-mrko roc rlbl rdom lr r cold db m wh rr Abrc Th bc do d horm rom h m-mrko roc hor r dcd h r Th

More information