Advanced Control Theory

Size: px
Start display at page:

Download "Advanced Control Theory"

Transcription

1 Ava Corol Thory Rviw of Corol Sym

2 Irouio o orol Chibum L -Soulh Ava Corol Thory

3 Corol Sym Corol ym: A iroio of omo formig a ym ofiguraio ha will rovi a ir ym ro Targ Tmraur Corollr Tmraur Sor Har Roo Rlay/SCR Chibum L -Soulh Ava Corol Thory

4 Examl of Corol Auomobil rivig Chibum L -Soulh Ava Corol Thory

5 Ty of orollr Tyial orollr Emb Corollr : Sially ig orollr for ifi ym MPU, MCU, DSP, FPA Co for vlom uful for ma rouio PC Corollr Eay vlom, oly, ay a PLC Programmabl Logi Corollr Wily u i gral auomaio ym, qu orol U Lar iagram, Moular omoiio Chibum L -Soulh Ava Corol Thory

6 Corol Sym Trmiology Sym A hyial of omo ha ak a igal, a rou a igal Sigal A fuio rrig om variabl ha oai om iformaio abou h bhavior of a ym. igal A Sym igal B Chibum L -Soulh Ava Corol Thory

7 Corol Sym Trmiology Sym Pla: Th hyial obj o b oroll. Trmiology om from hmial ro la lik oil rfiri or owr la. Sor: Th vi ha allow you o maur variabl for la moiorig a for a variy of ohr uro I mhaial ym, i maur rur, for,, oiio,. Cf Auaor: Th vi ha au h ro o rovi h ouu. Th vi ha rovi h moiv owr o h ro Chibum L -Soulh Ava Corol Thory 7

8 Corol Sym Trmiology Sym Corollr: Th vi or oraio ha giv omma o h la. Th omma ar uually ba o h urr rforma of h la omar o h ir rforma of h la. Th orollr may or may o ilu h auaor, h vi ha for h orollr omma o h la. Corollr Pla Sor Chibum L -Soulh Ava Corol Thory 8

9 Corol Sym Trmiology Sigal Rfr: Wha you lik h maur ouu of your oroll la o b..g. ig for your rui orol. Fbak Maur ouu: Variabl ha ar omig ou of your la ha ar big omar o your rfr..g. maurm of your ar from whl or Chibum L -Soulh Ava Corol Thory

10 Corol Sym Trmiology Sigal Fbak Error: Diffr bw your rfr a your fbak igal..g. km/h iffr bw rfr a fbak. Pla Iu: Th igal ha i a from h orollr o h la o aff om aio..g. Throl variaio. Pla Ouu: all h igal omig ou of h la. No: o all ouu ar u i fbak Chibum L -Soulh Ava Corol Thory

11 Corol Sym Trmiology Sym a Sigal Pla, Corollr, a Sor all ym. uually hav om yami or iffrial quaio riio. rafr fuio rraio for h ym. Sigal arry iformaio bw h lm. rfr rror iu ouu Corollr Pla fbak Sor Chibum L -Soulh Ava Corol Thory

12 Corol Sym Trmiology Diurba Diurba: A uwa igal ha i o aibl o h orollr a o avrly aff h ym ouu Sym or igal??? iurba Corollr Pla Sor Chibum L -Soulh Ava Corol Thory

13 Corol Sym Trmiology Corol ym iagram wih iurba a oi Corol ym iagram wih ir a our loo Chibum L -Soulh Ava Corol Thory

14 Clo v. O loo orol Clo loo orol Th iffr of rfr a fbak ar u a a ma of orol. Clo-loo wih fbak O loo orol Th ouu ha o ff o orol aio uually imlr wih fwr omo Examl woul b imr;.g. oar. O-loo wihou fbak Chibum L -Soulh Ava Corol Thory

15 Clo v. O loo orol O-loo xaml Chibum L -Soulh Ava Corol Thory

16 Clo v. O loo orol Clo-loo xaml Chibum L -Soulh Ava Corol Thory

17 Clo v. O loo orol Comario Co Sabiliy Prforma O-loo ym o or iml a l xiv a abl la ao go uabl Diurba or molig mimah a au rror ralibraio ar Clo-loo ym a abl la a go uabl, bu a uabl la a go abl mor robu o iurba a uraiy Thy uually hav br rforma Chibum L -Soulh Ava Corol Thory

18 Clo v. O loo orol O loo Clo loo + - wih mol uraiy + - % rror.% rror Chibum L -Soulh Ava Corol Thory

19 Corol ig rour. Suy h la a h orol objiv.. Mol h la if ary, imlify h mol. 3. Di h variabl o b oroll oroll ouu, h maurmor a maiula variabl auaor 4. Sl h orol ofiguraio a h y of orollr. 5. Di o rforma ifiaio 6. Dig a orollr. 7. Aalyz h rulig oroll ym 8. Simula h rulig oroll ym 9. Choo harwar a ofwar a imlm h orollr. Sofwar lab. T a valia h orol ym Harwar lab Chibum L -Soulh Ava Corol Thory

20 Lala raform Chibum L -Soulh Ava Corol Thory

21 Lala Traform Why Lala raform? Powrful for olvig liar ODE wih iiial valu Eay o al a Dira la fuio Comforabl for ioiu or omlx rioi fuio Lala Traform Chibum L -Soulh S-omai Prob. algbrai q. Origial Prob. iffrial q. AE Solvr Eay S-omai T-omai DE Solvr Diffiul Soluio o S-omai Prob. Soluio o origial Prob. Ivr Lala Traform Ava Corol Thory

22 Dfiiio Lala raform of a fuio f F f f Igral raform Ivr Lala raform of F F f πj j j F Chibum L -Soulh Ava Corol Thory

23 Ava Corol Thory Chibum L -Soulh Lala raform Th Lala raform i a liar oraio. Oby h riil of uroiio. ] [ ] [ x L a x a L x a a x x a a x x a L a x

24 Prori of Lala raform Shifig -omai Shifig -omai Diffriaio Igraio Fial valu horm L[ f ] F a L[ f T ] f L[ ] F f f f L[ ] L[ ] f F L[ f ] f lim F Iiial valu horm f lim F a T F Chibum L -Soulh Ava Corol Thory

25 Lala Traform uag i orol ym rimary u for Lala Traform. Coma rraio of: a Sigal iurba Corollr Pla b Sym Sor Chibum L -Soulh Ava Corol Thory

26 Ava Corol Thory Chibum L -Soulh Sigal S Ram a u a a a u a F

27 Ava Corol Thory Chibum L -Soulh Sigal Siuoi Cf i j j j Eulr formula i ] [i j j j j L F j j i f o f ] [o j j L F

28 Ava Corol Thory Chibum L -Soulh Sigal Imul fuio,, f } { lim lim lim lim lim { lim } { lim lim ] [ L F

29 Lala raform Sigal Chibum L -Soulh Ava Corol Thory

30 Sym Sym ar abra rraio of yamial homa. orr Coir a fr ro woul b oirig ju h ym. x ax ym F igal affig ym x ax ; x Chibum L -Soulh Ava Corol Thory

31 Sigal a Sym How igal aff ym a how ym gra igal Covoluio Covoluio Commuaiv Law: Diribuiv Law: Aoiaiv Law: f f Uuual Prori of Covoluio: Covoluio Thorm f g f g f g g f f g g f g f g f g v f g v f f f g f g Chibum L -Soulh Ava Corol Thory

32 Sigal a Sym How o igal f aff ym g? iu f ouu ovoluio g f F igal ym igal ym Chibum L -Soulh Ava Corol Thory

33 Covoluio orr xaml agai x ax ym F igal affig ym X F a ym igal ro yami of ym igal affig ym I h im omai x a f Covoluio Chibum L -Soulh Ava Corol Thory

34 Sigal a Sym Ex. Solv y '' y, y, y ' LHS: Y y y' Y TF: y, y', RHS: f F Ouu: y L F IC ro f Ram iu ih ouu y, y', Sym wih IC Chibum L -Soulh Ava Corol Thory

35 Sigal a Sym Viual xlaaio Examl igal, F ym Examl Chibum L -Soulh Ava Corol Thory

36 Molig of Corol ym Chibum L -Soulh Ava Corol Thory

37 Mahmaial Mol Mol ar ky lm i h ig a aalyi of orol ym qualiaiv mahmaial mol??? u y W mu mak a omromi b/w h imliiy of h mol v. h auray of h rul of aalyi Chibum L -Soulh Ava Corol Thory

38 Liar v. oliar ym Liar ym: h riil of uroiio hol Liariy i mahmai L V a W b vor a ovr h am fil K. A fuio f: V W i ai o b a liar ma if for ay vor x a y i V a ay alar α i K, h followig oiio ar aifi: Liariy i ym aiiviy homogiy A gral ym a b rib by oraor H, ha ma a iu x a a fuio of o a ouu y a y of blak box riio. Liar ym aify h rori of uroiio a homogiy. Chibum L -Soulh Ava Corol Thory

39 Liar Tim Ivaria Sym Liar Tim Ivaria = Liar & im ivaria A im-ivaria TIV ym i o who ouu o o xliily o im. If h iu igal x rou a ouu y, h ay im hif iu, x+, rul i a im-hif ouu y+ Tim ivaria ma ha h offii i h iffrial quaio ar oa a o hag wih r o im. W a aly imul ro & Lala raform i LTI ym Chibum L -Soulh Ava Corol Thory

40 Tim-Varyig Mol A im-varyig ym i a ym ha i o im ivaria i ouu xliily uo im Eg. a araf orol ym. Th ma of ful oumio hag u o ful oumio Dyami ym Liar Noliar Chibum L -Soulh Liar Tim Ivaria Our fou Liar Tim Varyig Ava Corol Thory

41 Trafr Fuio Aumig zro iiial oiio, ak h Lala Traform of boh i m Y by ky F m b k Y F ouu Y F m b k Trafr Fuio iu iu ouu Chibum L -Soulh Ava Corol Thory

42 Trafr Fuio Trafr Fuio: h raio of h Lala raform of h iu a ouu of a liar im-ivaria ym wih zro iiial oiio a zro-oi quilibrium. Raioal fuio i h omlx variabl L x : iu, y : ouu a y a y b m m a x b y m a x y m b x b x > m Chibum L -Soulh Ava Corol Thory

43 Ava Corol Thory Chibum L -Soulh Trafr Fuio -h orr ym i h high owr i h omiaor i. No: limi o im-ivaria, iffrial quaio i of h iu magiu. homogiy o iformaio o hyially ruur. MKS a RLC IC zro ] [ ] [ TF: a a a a b b b b X Y iu L ouu L m m m m

44 Ava Corol Thory Chibum L -Soulh Sym Pol a Zro Roo of N= : h ym zro z, z,, z m Roo of D= : h ym ol,,, No Sym Pol a zro: ral or ihr omlx ojuga air m m m m m m z z z z K D N a a a a b b b b umraor omiaor

45 Fbak Sym Chibum L -Soulh Ava Corol Thory

46 Fbak Sym Comar o o loo ym, fbak orol ha h followig avaag: Dra iiviy of h ym o variaio i h aramr of h ro Imrov rjio of h iurba Imrov maurm oi auaio Imrov ruio of h a-a rror of h ym Eay orol a ajum of h rai ro of h ym Chibum L -Soulh Ava Corol Thory

47 Fbak Sym Clo-loo ym ubj o a iurba a a maurm oi Aum LTI ym U V Y m Moly H Chibum L -Soulh Ava Corol Thory

48 Ava Corol Thory Chibum L -Soulh Sym Trafr Fuio Dfi Trakig rror: If w oir iu igal araly a u riil of uroiio, h ouu i giv by Y R E N H H D H R H Y

49 Ava Corol Thory Chibum L -Soulh Sym Trafr Fuio Aumig H=, iral igal ar giv by Ouu Maur ouu Corol iu N D R Y N D R Y m N D R U

50 Ava Corol Thory Chibum L -Soulh Sym Trafr Fuio ag of 4 Why iiviy rafr fuio? / / S T T : Comlimary iiviy rafr fuio : Siiviy rafr fuio S T h raio of h hag i h ym TF o h hag of a la TF

51 Ava Corol Thory Chibum L -Soulh Prforma Sifiaio oo orol rakig rror mall oo rfr rakig oo iurba rjio oo oi auaio N D R E T S S S R E S D E T N E

52 Ava Corol Thory Chibum L -Soulh Prforma Sifiaio Ahivig goo rfr rakig, iurba rjio, oi auaio imulaouly i o oibl Algbrai limiaio Choi bw oo rfr rakig a oi auaio Soluio? Sara h frquy omo i rfr, iurba, a oi T S

53 Tim Domai Aalyi Chibum L -Soulh Ava Corol Thory

54 Tim Domai Aalyi Afr h mahmaial mol of h ym i obai, aalyi of ym rforma i. Iu r Sym Ouu y Iu igal o a orol ym i ukow bu wha if o u kow iu igal A orrlaio b/w h ro hararii of a ym o a yial iu igal a h aabiliy of h ym o o wih aual iu igal Chibum L -Soulh Ava Corol Thory

55 Tim Domai Aalyi Iu Sym Ouu Tim ro y y y r Trai ro: go from IC o fial a Say a ro: h ym ouu bhav a aroah ifiiy Chibum L -Soulh Ava Corol Thory

56 Orr Sym Saar form Ty y r T Y R Y R T TF of orr ym Y Y Chibum L -Soulh Ava Corol Thory

57 Ava Corol Thory Chibum L -Soulh Orr Sym S ro Ui ro w/ zro iiial oiio T T T T Y R U r, / T y

58 Orr Sym S ro Chararii faur of a orr ym: A =T, y y T i. h ro y i 63.% of i oal hag A =, h lo of h ro y T / T T y T : im oa Chibum L -Soulh Ava Corol Thory

59 Ava Corol Thory Chibum L -Soulh Orr Sym Ram ro Ui ram ro w/ zro iiial oiio T T T T Y, / T T T y R U r

60 Orr Sym Ram ro Th rror bw h rfr & h ouu. r y y T T /T T /T = T lim T y Smallr T mallr Chibum L -Soulh Ava Corol Thory

61 Ava Corol Thory Chibum L -Soulh Orr Sym Imul ro Ui imul ro T Y, / T T y R r y y

62 Orr Sym Imul ro Ty y w/ y Comar Tim ro o a imul rfr igal i iial o a iiial oiio ro wih zro rfr. Ty y w/ y T TY Y Y T TY TY T T Y Y Y T T Y Chibum L -Soulh Ava Corol Thory

63 Ava Corol Thory Chibum L -Soulh Orr Sym Clo-loo J K J B J K K B J K R Y Y = Saar form of orr ym JK B J K,

64 Orr Sym Solv h followig iffrial quaio Ca. x x x, x, x Ca. x x x, x, x Chibum L -Soulh Ava Corol Thory

65 Orr Sym Dyami bhavior of orr ym a b rib i rm of amig raio a aural frquy Y R Chararii quaio omiaor of TF= Pol roo of hararii quaio j, Chibum L -Soulh Ava Corol Thory

66 Orr Sym Pol loaio If, If, If, If,,,,, j j Chibum L -Soulh Ava Corol Thory

67 Ava Corol Thory Chibum L -Soulh Orr Sym-S ro For uram a, Y a whr i i o y lim y

68 Ava Corol Thory Chibum L -Soulh Orr Sym-S ro For o am a, Y y o lim y y

69 Ava Corol Thory Chibum L -Soulh Orr Sym-S ro For riially am a, Y y lim y

70 Ava Corol Thory Chibum L -Soulh Orr Sym-S ro For ovram a, Y y lim y,,

71 Orr Sym-S ro Chibum L -Soulh Ava Corol Thory

72 Orr Sym-Imul ro Imul ro or Iiial oiio ro Y For y i For y lim y for Chibum L -Soulh Ava Corol Thory

73 Ava Corol Thory Chibum L -Soulh Highr Orr Sym Ui ro a a a a b b b b R Y m m m m or ro or ro r q b a a a a a a b b b b Y r k k k k k k k k j k q j j j m m m m r k k k k k k k q j j b a a y k j k j j i o

74 Highr Orr Sym Chibum L -Soulh Ava Corol Thory

75 Examl Domia ol Ex. Y R Y R Chibum L -Soulh Ava Corol Thory

76 Trai-Ro ifiaio or. y. Trai Ro Chararii o a ui iu Dlay im, : im rquir for rah 5% Ri im, r Pak im, : im rquir for ri from % o 9% or from % o % : im rquir for rah ak valu Maximum ovrhoo, M : Slig im, : im rquir for rah a ay % or 5% of fial valu y y y Chibum L -Soulh Ava Corol Thory

77 Ava Corol Thory Chibum L -Soulh Trai-Ro ifiaio or. y. Ri im: r y a i o i o r r r r r r y r y i o

78 Ava Corol Thory Chibum L -Soulh Trai-Ro ifiaio or. y. a a For a r r???

79 Ava Corol Thory Chibum L -Soulh Trai-Ro ifiaio or. y. From ym ol R Y, j a r agl a

80 Ava Corol Thory Chibum L -Soulh y Trai-Ro ifiaio or. y. Pak Tim,,3,, i i i o o i i o o i y y i o

81 Ava Corol Thory Chibum L -Soulh y y i o Trai-Ro ifiaio or. y. Maximum Ovrhoo M % %OvrhooPO i o y y y y y M

82 Trai-Ro ifiaio or. y. Slig Tim y y o i Aroximaio om from vlo fuio 4 for % ririo 5 for 5% ririo Chibum L -Soulh Ava Corol Thory

83 Ava Corol Thory Chibum L -Soulh Trai-Ro ifiaio or. y. y a whr i i o y

84 Ava Corol Thory Chibum L -Soulh Paramr Slio xaml Y Y J K KJ K K b K K K b J K R Y h h,

85 Ava Corol Thory Chibum L -Soulh Paramr Slio xaml.86 5% ririo 3,.48 % ririo 4.65 a.78 m,.5 N, r h h K B KJ K J K J K KJ K K b M

86 Ava Corol Thory Chibum L -Soulh Say-Sa Error i Fbak Sym Uiy fbak ym lim lim lim R E R Y R E R Y yumbr : N z z z z K l l N m m

87 Ava Corol Thory Chibum L -Soulh Ui iu Say-Sa Error i Fbak Sym or, For lim lim, For rror oa oiio : lim lim lim lim l m K N K z z K K N K K E

88 Ava Corol Thory Chibum L -Soulh Ui ram iu Say-Sa Error i Fbak Sym or lim, For lim, For or lim lim, For vloiy rror oa : lim lim lim lim lim l N m v v l m v l m v v v z z K K N K z z K K N z z K K N K K E

89 Say-Sa Error i Fbak Sym y y Ty ym ro o a ram iu Chibum L -Soulh Ava Corol Thory

90 Ava Corol Thory Chibum L -Soulh Ui arabolialraio iu Say-Sa Error i Fbak Sym or lim 3, For lim, For or lim lim, For alraio rror oa : lim lim lim lim lim 3 l N m a a l m a l N m a a a z z K K N K z z K K N z z K K N K K E

91 Say-Sa Error i Fbak Sym y y Ty ym ro o a araboli iu Chibum L -Soulh Ava Corol Thory

92 Say-Sa Error i Fbak Sym Chibum L -Soulh Ava Corol Thory

Control Systems. Transient and Steady State Response.

Control Systems. Transient and Steady State Response. Corol Sym Trai a Say Sa Ro chibum@oulch.ac.kr Ouli Tim Domai Aalyi orr ym Ui ro Ui ram ro Ui imul ro Chibum L -Soulch Corol Sym Tim Domai Aalyi Afr h mahmaical mol of h ym i obai, aalyi of ym rformac i.

More information

It is quickly verified that the dynamic response of this system is entirely governed by τ or equivalently the pole s = 1.

It is quickly verified that the dynamic response of this system is entirely governed by τ or equivalently the pole s = 1. Tim Domai Prforma I orr o aalyz h im omai rforma of ym, w will xami h hararii of h ouu of h ym wh a ariular iu i ali Th iu w will hoo i a ui iu, ha i u ( < Th Lala raform of hi iu i U ( Thi iu i l bau

More information

BMM3553 Mechanical Vibrations

BMM3553 Mechanical Vibrations BMM3553 Mhaial Vibraio Chapr 3: Damp Vibraio of Sigl Dgr of From Sym (Par ) by Ch Ku Ey Nizwa Bi Ch Ku Hui Fauly of Mhaial Egirig mail: y@ump.u.my Chapr Dripio Ep Ouom Su will b abl o: Drmi h aural frquy

More information

Infinite Continued Fraction (CF) representations. of the exponential integral function, Bessel functions and Lommel polynomials

Infinite Continued Fraction (CF) representations. of the exponential integral function, Bessel functions and Lommel polynomials Ifii Coiu Fraio CF rraio of h oial igral fuio l fuio a Lol olyoial Coiu Fraio CF rraio a orhogoal olyoial I hi io w rall h rlaio bw ifi rurry rlaio of olyoial orroig orhogoaliy a aroria ifii oiu fraio

More information

Boyce/DiPrima 9 th ed, Ch 7.9: Nonhomogeneous Linear Systems

Boyce/DiPrima 9 th ed, Ch 7.9: Nonhomogeneous Linear Systems BoDiPrima 9 h d Ch 7.9: Nohomogou Liar Sm Elmar Diffrial Equaio ad Boudar Valu Prolm 9 h diio William E. Bo ad Rihard C. DiPrima 9 Joh Wil & So I. Th gral hor of a ohomogou m of quaio g g aralll ha of

More information

Note 6 Frequency Response

Note 6 Frequency Response No 6 Frqucy Rpo Dparm of Mchaical Egirig, Uivriy Of Sakachwa, 57 Campu Driv, Sakaoo, S S7N 59, Caada Dparm of Mchaical Egirig, Uivriy Of Sakachwa, 57 Campu Driv, Sakaoo, S S7N 59, Caada. alyical Exprio

More information

ECEN620: Network Theory Broadband Circuit Design Fall 2014

ECEN620: Network Theory Broadband Circuit Design Fall 2014 ECE60: work Thory Broadbad Circui Dig Fall 04 Lcur 6: PLL Trai Bhavior Sam Palrmo Aalog & Mixd-Sigal Cr Txa A&M Uivriy Aoucm, Agda, & Rfrc HW i du oday by 5PM PLL Trackig Rpo Pha Dcor Modl PLL Hold Rag

More information

3.2. Derivation of Laplace Transforms of Simple Functions

3.2. Derivation of Laplace Transforms of Simple Functions 3. aplac Tarform 3. PE TRNSFORM wid rag of girig ym ar modld mahmaically by uig diffrial quaio. I gral, h diffrial quaio of h ordr ym i wri: d y( a d d d y( dy( a a y( f( (3. d Which i alo ow a a liar

More information

Response of LTI Systems to Complex Exponentials

Response of LTI Systems to Complex Exponentials 3 Fourir sris coiuous-im Rspos of LI Sysms o Complx Expoials Ouli Cosidr a LI sysm wih h ui impuls rspos Suppos h ipu sigal is a complx xpoial s x s is a complx umbr, xz zis a complx umbr h or h h w will

More information

15. Numerical Methods

15. Numerical Methods S K Modal' 5. Numrical Mhod. Th quaio + 4 4 i o b olvd uig h Nwo-Rapho mhod. If i ak a h iiial approimaio of h oluio, h h approimaio uig hi mhod will b [EC: GATE-7].(a (a (b 4 Nwo-Rapho iraio chm i f(

More information

1973 AP Calculus BC: Section I

1973 AP Calculus BC: Section I 97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f

More information

MARTIN COUNTY, FLORIDA

MARTIN COUNTY, FLORIDA RA 5 OA. RFFY A A RA RVOAL R F 8+8 O 5+ 5+ 5+ ORI 55 OA. RFFY A A RA RVOAL R 8 F 5+ O 8+8 ROFIL ORIZ: = VR: = 5 ROFIL 5 5 5 5 5+ 5+ 5+ 5+ + 5+ 8+ + + + 8+ 8+ 8+ 8+ + 5+ 8+ 5+ - --A 8-K @.5 -K @.5 -K @.5

More information

Continous system: differential equations

Continous system: differential equations /6/008 Coious sysm: diffrial quaios Drmiisic modls drivaivs isad of (+)-( r( compar ( + ) R( + r ( (0) ( R ( 0 ) ( Dcid wha hav a ffc o h sysm Drmi whhr h paramrs ar posiiv or gaiv, i.. giv growh or rducio

More information

Chapter4 Time Domain Analysis of Control System

Chapter4 Time Domain Analysis of Control System Chpr4 im Domi Alyi of Corol Sym Rouh biliy cririo Sdy rror ri rpo of h fir-ordr ym ri rpo of h cod-ordr ym im domi prformc pcificio h rliohip bw h prformc pcificio d ym prmr ri rpo of highr-ordr ym Dfiiio

More information

Trigonometric Formula

Trigonometric Formula MhScop g of 9 FORMULAE SHEET If h lik blow r o-fucioig ihr Sv hi fil o your hrd driv (o h rm lf of h br bov hi pg for viwig off li or ju coll dow h pg. [] Trigoomry formul. [] Tbl of uful rigoomric vlu.

More information

EE Control Systems LECTURE 11

EE Control Systems LECTURE 11 Up: Moy, Ocor 5, 7 EE 434 - Corol Sy LECTUE Copyrigh FL Lwi 999 All righ rrv POLE PLACEMET A STEA-STATE EO Uig fc, o c ov h clo-loop pol o h h y prforc iprov O c lo lc uil copor o oi goo y- rcig y uyig

More information

Advanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S.

Advanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S. Rfrc: (i) (ii) (iii) Advcd Egirig Mhmic, K.A. Sroud, Dxr J. Booh Egirig Mhmic, H.K. D Highr Egirig Mhmic, Dr. B.S. Grwl Th mhod of m Thi coi of h followig xm wih h giv coribuio o h ol. () Mid-rm xm : 3%

More information

Chapter 3 Linear Equations of Higher Order (Page # 144)

Chapter 3 Linear Equations of Higher Order (Page # 144) Ma Modr Dirial Equaios Lcur wk 4 Jul 4-8 Dr Firozzama Darm o Mahmaics ad Saisics Arizoa Sa Uivrsi This wk s lcur will covr har ad har 4 Scios 4 har Liar Equaios o Highr Ordr Pag # 44 Scio Iroducio: Scod

More information

Practice papers A and B, produced by Edexcel in 2009, with mark schemes. Practice Paper A. 5 cosh x 2 sinh x = 11,

Practice papers A and B, produced by Edexcel in 2009, with mark schemes. Practice Paper A. 5 cosh x 2 sinh x = 11, Prai paprs A ad B, produd by Edl i 9, wih mark shms Prai Papr A. Fid h valus of for whih 5 osh sih =, givig your aswrs as aural logarihms. (Toal 6 marks) k. A = k, whr k is a ral osa. 9 (a) Fid valus of

More information

( A) ( B) ( C) ( D) ( E)

( A) ( B) ( C) ( D) ( E) d Smsr Fial Exam Worksh x 5x.( NC)If f ( ) d + 7, h 4 f ( ) d is 9x + x 5 6 ( B) ( C) 0 7 ( E) divrg +. (NC) Th ifii sris ak has h parial sum S ( ) for. k Wha is h sum of h sris a? ( B) 0 ( C) ( E) divrgs

More information

Chapter 6. PID Control

Chapter 6. PID Control Char 6 PID Conrol PID Conrol Mo ommon onrollr in h CPI. Cam ino u in 930 wih h inroduion of numai onrollr. Exrmly flxibl and owrful onrol algorihm whn alid rorly. Gnral Fdbak Conrol Loo D G d Y E C U +

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

Mathematical Preliminaries for Transforms, Subbands, and Wavelets

Mathematical Preliminaries for Transforms, Subbands, and Wavelets Mahmaical Prlimiaris for rasforms, Subbads, ad Wavls C.M. Liu Prcpual Sigal Procssig Lab Collg of Compur Scic Naioal Chiao-ug Uivrsiy hp://www.csi.cu.du.w/~cmliu/courss/comprssio/ Offic: EC538 (03)5731877

More information

Linear Systems Analysis in the Time Domain

Linear Systems Analysis in the Time Domain Liar Sysms Aalysis i h Tim Domai Firs Ordr Sysms di vl = L, vr = Ri, d di L + Ri = () d R x= i, x& = x+ ( ) L L X() s I() s = = = U() s E() s Ls+ R R L s + R u () = () =, i() = L i () = R R Firs Ordr Sysms

More information

Fourier Series: main points

Fourier Series: main points BIOEN 3 Lcur 6 Fourir rasforms Novmbr 9, Fourir Sris: mai pois Ifii sum of sis, cosis, or boh + a a cos( + b si( All frqucis ar igr mulipls of a fudamal frqucy, o F.S. ca rprs ay priodic fucio ha w ca

More information

MAT3700. Tutorial Letter 201/2/2016. Mathematics III (Engineering) Semester 2. Department of Mathematical sciences MAT3700/201/2/2016

MAT3700. Tutorial Letter 201/2/2016. Mathematics III (Engineering) Semester 2. Department of Mathematical sciences MAT3700/201/2/2016 MAT3700/0//06 Tuorial Lr 0//06 Mahmaics III (Egirig) MAT3700 Smsr Dparm of Mahmaical scics This uorial lr coais soluios ad aswrs o assigms. BARCODE CONTENTS Pag SOLUTIONS ASSIGNMENT... 3 SOLUTIONS ASSIGNMENT...

More information

From Fourier Series towards Fourier Transform

From Fourier Series towards Fourier Transform From Fourir Sris owards Fourir rasform D D d D, d wh lim Dparm of Elcrical ad Compur Eiri D, d wh lim L s Cosidr a fucio G d W ca xprss D i rms of Gw D G Dparm of Elcrical ad Compur Eiri D G G 3 Dparm

More information

Why Laplace transforms?

Why Laplace transforms? MAE4 Linar ircui Why Lalac ranform? Firordr R cc v v v KVL S R inananou for ach Subiu lmn rlaion v S Ordinary diffrnial quaion in rm of caacior volag Lalac ranform Solv Invr LT V u, v Ri, i A R V A _ v

More information

Controllability and Observability of Matrix Differential Algebraic Equations

Controllability and Observability of Matrix Differential Algebraic Equations NERNAONAL JOURNAL OF CRCUS, SYSEMS AND SGNAL PROCESSNG Corollabiliy ad Obsrvabiliy of Marix Diffrial Algbrai Equaios Ya Wu Absra Corollabiliy ad obsrvabiliy of a lass of marix Diffrial Algbrai Equaio (DAEs)

More information

Numerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions

Numerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions IOSR Joural of Applid Chmisr IOSR-JAC -ISSN: 78-576.Volum 9 Issu 8 Vr. I Aug. 6 PP 4-8 www.iosrjourals.org Numrical Simulaio for h - Ha Equaio wih rivaiv Boudar Codiios Ima. I. Gorial parm of Mahmaics

More information

Chapter 7 Stead St y- ate Errors

Chapter 7 Stead St y- ate Errors Char 7 Say-Sa rror Inroucon Conrol ym analy an gn cfcaon a. rann ron b. Sably c. Say-a rror fnon of ay-a rror : u c a whr u : nu, c: ouu Val only for abl ym chck ym ably fr! nu for ay-a a nu analy U o

More information

Laplace Transforms recap for ccts

Laplace Transforms recap for ccts Lalac Tranform rca for cc Wha h big ida?. Loo a iniial condiion ron of cc du o caacior volag and inducor currn a im Mh or nodal analyi wih -domain imdanc rianc or admianc conducanc Soluion of ODE drivn

More information

Poisson Arrival Process

Poisson Arrival Process Poisso Arrival Procss Arrivals occur i) i a mmylss mar ii) [ o arrival durig Δ ] = λδ + ( Δ ) P o [ o arrival durig Δ ] = λδ + ( Δ ) P o P j arrivals durig Δ = o Δ f j = 2,3, o Δ whr lim =. Δ Δ C C 2 C

More information

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS Diol Bgyoko (0) I.INTRODUCTION LINEAR d ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS I. Dfiiio All suh diffril quios s i h sdrd or oil form: y + y + y Q( x) dy d y wih y d y d dx dx whr,, d

More information

ECE351: Signals and Systems I. Thinh Nguyen

ECE351: Signals and Systems I. Thinh Nguyen ECE35: Sigals ad Sysms I Thih Nguy FudamalsofSigalsadSysms x Fudamals of Sigals ad Sysms co. Fudamals of Sigals ad Sysms co. x x] Classificaio of sigals Classificaio of sigals co. x] x x] =xt s =x

More information

Fading Theory. Stochastic Signal Processing. Contents. Mobile Communication Channel

Fading Theory. Stochastic Signal Processing. Contents. Mobile Communication Channel Fadig Thory I may iruma i i oo omliad o dri all rlio diraio ad arig ro ha drmi h dir Muli-ah Como. ahr i i o rral o dri h roailiy ha a hal aramr aai a rai valu. rmiii v. Sohai rmiii a : y ma. Sohai a :

More information

Notes 03 largely plagiarized by %khc

Notes 03 largely plagiarized by %khc 1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our

More information

Valley Forge Middle School Fencing Project Facilities Committee Meeting February 2016

Valley Forge Middle School Fencing Project Facilities Committee Meeting February 2016 Valley Forge iddle chool Fencing roject Facilities ommittee eeting February 2016 ummer of 2014 Installation of Fencing at all five istrict lementary chools October 2014 Facilities ommittee and

More information

DYNAMICS and CONTROL

DYNAMICS and CONTROL DYNAMICS an CONTROL Mol IV(I) IV(II) Conrol Sysms Dsign Conrol sysm aramrs Prsn by Pro Albros Profssor of Sysms Enginring an Conrol - UPV Mols: Examls of sysms an signals Mols of sysms an signals Conroll

More information

Poisson Arrival Process

Poisson Arrival Process 1 Poisso Arrival Procss Arrivals occur i) i a mmorylss mar ii) [ o arrival durig Δ ] = λδ + ( Δ ) P o [ o arrival durig Δ ] = 1 λδ + ( Δ ) P o P j arrivals durig Δ = o Δ for j = 2,3, ( ) o Δ whr lim =

More information

EEE 304 Test 1 NAME: solutions

EEE 304 Test 1 NAME: solutions EEE 4 NAME: olio Probl : For h oio i ih rafr fio. Fi h rgio of ovrg of orrpoig o:.. a abl... a aal.. Cop h i p rpo x, aig ha i i aal. / / / / } { } {R, }; {R, } {. } {R : }, R { :. L L L L Y L Y x L Caali

More information

AE57/AC51/AT57 SIGNALS AND SYSTEMS DECEMBER 2012

AE57/AC51/AT57 SIGNALS AND SYSTEMS DECEMBER 2012 AE7/AC/A7 SIGNALS AND SYSEMS DECEMBER Q. Drmi powr d rgy of h followig igl j i ii =A co iii = Solio: i E P I I l jw l I d jw d d Powr i fii, i i powr igl ii =A cow E P I co w d / co l I I l d wd d Powr

More information

INTERNAL MEMORANDUM No. 117 THE SEDIMENT DIGESTER. Gary Parker February, 2004

INTERNAL MEMORANDUM No. 117 THE SEDIMENT DIGESTER. Gary Parker February, 2004 T. ANTONY FALL LAORATORY UNIVERITY OF MINNEOTA INTERNAL MEMORANDUM No. 7 TE EDIMENT DIGETER Gary Parkr Fruary, 4 TE EDIMENT DIGETER INTRODUCTION Th marial low wa wri i Novmr,. I rr a am o quaify ro orv

More information

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27 Faily Jo Pag Th Exil Bg io hy u c prof b jo ou Shar ab ou job ab ar h o ay u Yo ra u ar u r a i A h ) ar par ( grp hav h y y b jo i crib blo Tll ri ir r a r gro up Allo big u r a i Rvi h b of ha u ha a

More information

EEE 304 Test 1 NAME:

EEE 304 Test 1 NAME: EEE 0 NME: For h oio i ih rafr fio 0.. Fi h rgio of ovrg of orrpoig o:.. a abl... a aal.. Cop h i p rpo x aig ha i i abl..: { 0. R }. : { 0. R } : 0. { aal / / 0. aal 0. aal { 0. R } {0 R } Probl : For

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

Part B: Transform Methods. Professor E. Ambikairajah UNSW, Australia

Part B: Transform Methods. Professor E. Ambikairajah UNSW, Australia Par B: rasform Mhods Profssor E. Ambikairaah UNSW, Ausralia Chapr : Fourir Rprsaio of Sigal. Fourir Sris. Fourir rasform.3 Ivrs Fourir rasform.4 Propris.4. Frqucy Shif.4. im Shif.4.3 Scalig.4.4 Diffriaio

More information

NON-LINEAR PARAMETER ESTIMATION USING VOLTERRA SERIES WITH MULTI-TONE EXCITATION

NON-LINEAR PARAMETER ESTIMATION USING VOLTERRA SERIES WITH MULTI-TONE EXCITATION NON-LINER PRMETER ESTIMTION USING VOLTERR SERIES WIT MULTI-TONE ECITTION imsh Char Dparm of Mchaical Egirig Visvsvaraya Rgioal Collg of Egirig Nagpur INDI-00 Naliash Vyas Dparm of Mchaical Egirig Iia Isiu

More information

Chapter 12 Introduction To The Laplace Transform

Chapter 12 Introduction To The Laplace Transform Chapr Inroducion To Th aplac Tranorm Diniion o h aplac Tranorm - Th Sp & Impul uncion aplac Tranorm o pciic uncion 5 Opraional Tranorm Applying h aplac Tranorm 7 Invr Tranorm o Raional uncion 8 Pol and

More information

Stability. Outline Stability Sab Stability of Digital Systems. Stability for Continuous-time Systems. system is its stability:

Stability. Outline Stability Sab Stability of Digital Systems. Stability for Continuous-time Systems. system is its stability: Oulie Sabiliy Sab Sabiliy of Digial Syem Ieral Sabiliy Exeral Sabiliy Example Roo Locu v ime Repoe Fir Orer Seco Orer Sabiliy e Jury e Rouh Crierio Example Sabiliy A very impora propery of a yamic yem

More information

x, x, e are not periodic. Properties of periodic function: 1. For any integer n,

x, x, e are not periodic. Properties of periodic function: 1. For any integer n, Chpr Fourir Sri, Igrl, d Tror. Fourir Sri A uio i lld priodi i hr i o poiiv ur p uh h p, p i lld priod o R i,, r priodi uio.,, r o priodi. Propri o priodi uio:. For y igr, p. I d g hv priod p, h h g lo

More information

MODERN CONTROL SYSTEMS

MODERN CONTROL SYSTEMS MODERN CONTROL SYSTEMS Lecure 9, Sae Space Repreeaio Emam Fahy Deparme of Elecrical ad Corol Egieerig email: emfmz@aa.edu hp://www.aa.edu/cv.php?dip_ui=346&er=6855 Trafer Fucio Limiaio TF = O/P I/P ZIC

More information

Frequency Response & Digital Filters

Frequency Response & Digital Filters Frquy Rspos & Digital Filtrs S Wogsa Dpt. of Cotrol Systms ad Istrumtatio Egirig, KUTT Today s goals Frquy rspos aalysis of digital filtrs LTI Digital Filtrs Digital filtr rprstatios ad struturs Idal filtrs

More information

) and furthermore all X. The definition of the term stationary requires that the distribution fulfills the condition:

) and furthermore all X. The definition of the term stationary requires that the distribution fulfills the condition: Assigm Thomas Aam, Spha Brumm, Haik Lor May 6 h, 3 8 h smsr, 357, 7544, 757 oblm For R b X a raom variabl havig ormal isribuio wih ma µ a variac σ (his is wri as ~ (,) X. by: R a. Is X ) a urhrmor all

More information

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018 DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS Aoc. Prof. Dr. Burak Kllci Spring 08 OUTLINE Th Laplac Tranform Rgion of convrgnc for Laplac ranform Invr Laplac ranform Gomric valuaion

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 31 Signal & Syem Prof. Mark Fowler Noe Se #27 C-T Syem: Laplace Tranform Power Tool for yem analyi Reading Aignmen: Secion 6.1 6.3 of Kamen and Heck 1/18 Coure Flow Diagram The arrow here how concepual

More information

Linear System Theory

Linear System Theory Naioal Tsig Hua Uiversiy Dearme of Power Mechaical Egieerig Mid-Term Eamiaio 3 November 11.5 Hours Liear Sysem Theory (Secio B o Secio E) [11PME 51] This aer coais eigh quesios You may aswer he quesios

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

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

OPTIMUM ORDER QUANTITY FOR DETERIORATING ITEMS IN LARGEST LIFETIME WITH PERMISSIBLE DELAY PERIOD S. C. SHARMA & VIVEK VIJAY

OPTIMUM ORDER QUANTITY FOR DETERIORATING ITEMS IN LARGEST LIFETIME WITH PERMISSIBLE DELAY PERIOD S. C. SHARMA & VIVEK VIJAY Iraioal Joural of Mahaics a opur Applicaios Rsarch (IJMAR) ISSN(P): 9-6955; ISSN(E): 9-86 Vol. 6, Issu, Aug 6, - @JPR Pv. L. OPIMUM ORDER QUANIY FOR DEERIORAING IEMS IN LARGES LIFEIME WIH PERMISSIBLE DELAY

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

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

SHINGLETON FOREST AREA Stand Level Information Compartment: 44 Entry Year: 2009

SHINGLETON FOREST AREA Stand Level Information Compartment: 44 Entry Year: 2009 iz y U oy- kg g vg. To. i Ix Mg * "Compm Pk Gloy of Tm" oum lik o wb i fo fuh ipio o fiiio. Coiio ilv. Cii M? Mho Cu Tm. Pio v Pioiy Culul N 1 5 3 13 60 7 50 42 blk pu-wmp ol gowh N 20-29 y (poil o ul)

More information

Lecture 25 Outline: LTI Systems: Causality, Stability, Feedback

Lecture 25 Outline: LTI Systems: Causality, Stability, Feedback Lecure 5 Oulie: LTI Sye: Caualiy, Sabiliy, Feebac oucee: Reaig: 6: Lalace Trafor. 37-49.5, 53-63.5, 73; 7: 7: Feebac. -4.5, 8-7. W 8 oe, ue oay. Free -ay eeio W 9 will be oe oay, ue e Friay (o lae W) Fial

More information

TIME RESPONSE Introduction

TIME RESPONSE Introduction TIME RESPONSE Iroducio Time repoe of a corol yem i a udy o how he oupu variable chage whe a ypical e ipu igal i give o he yem. The commoly e ipu igal are hoe of ep fucio, impule fucio, ramp fucio ad iuoidal

More information

2. Transfer function. Kanazawa University Microelectronics Research Lab. Akio Kitagawa

2. Transfer function. Kanazawa University Microelectronics Research Lab. Akio Kitagawa . ransfr funion Kanazawa Univrsiy Mirolronis Rsarh Lab. Akio Kiagawa . Wavforms in mix-signal iruis Configuraion of mix-signal sysm x Digial o Analog Analog o Digial Anialiasing Digial moohing Filr Prossor

More information

A Review of Complex Arithmetic

A Review of Complex Arithmetic /0/005 Rviw of omplx Arithmti.do /9 A Rviw of omplx Arithmti A omplx valu has both a ral ad imagiary ompot: { } ad Im{ } a R b so that w a xprss this omplx valu as: whr. a + b Just as a ral valu a b xprssd

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

The Development of Suitable and Well-founded Numerical Methods to Solve Systems of Integro- Differential Equations,

The Development of Suitable and Well-founded Numerical Methods to Solve Systems of Integro- Differential Equations, Shiraz Uivrsiy of Tchology From h SlcdWorks of Habibolla Laifizadh Th Dvlopm of Suiabl ad Wll-foudd Numrical Mhods o Solv Sysms of Igro- Diffrial Equaios, Habibolla Laifizadh, Shiraz Uivrsiy of Tchology

More information

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is [STRAIGHT OBJECTIVE TYPE] l Q. Th vlu of h dfii igrl, cos d is + (si ) (si ) (si ) Q. Th vlu of h dfii igrl si d whr [, ] cos cos Q. Vlu of h dfii igrl ( si Q. L f () = d ( ) cos 7 ( ) )d d g b h ivrs

More information

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9 OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at

More information

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control MEM 355 Prformanc Enhancmn of Dynamical Sysms A Firs Conrol Problm - Cruis Conrol Harry G. Kwany Darmn of Mchanical Enginring & Mchanics Drxl Univrsiy Cruis Conrol ( ) mv = F mg sinθ cv v +.2v= u 9.8θ

More information

Jonathan Turner Exam 2-12/4/03

Jonathan Turner Exam 2-12/4/03 CS 41 Algorim an Program Prolm Exam Soluion S Soluion Jonaan Turnr Exam -1/4/0 10/8/0 1. (10 poin) T igur low ow an implmnaion o ynami r aa ruur wi vral virual r. Sow orrponing o aual r (owing vrx o).

More information

Final Exam : Solutions

Final Exam : Solutions Comp : Algorihm and Daa Srucur Final Exam : Soluion. Rcuriv Algorihm. (a) To bgin ind h mdian o {x, x,... x n }. Sinc vry numbr xcp on in h inrval [0, n] appar xacly onc in h li, w hav ha h mdian mu b

More information

2. The Laplace Transform

2. The Laplace Transform Th aac Tranorm Inroucion Th aac ranorm i a unamna an vry uu oo or uying many nginring robm To in h aac ranorm w conir a comx variab σ, whr σ i h ra ar an i h imaginary ar or ix vau o σ an w viw a a oin

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

a dt a dt a dt dt If 1, then the poles in the transfer function are complex conjugates. Let s look at f t H t f s / s. So, for a 2 nd order system:

a dt a dt a dt dt If 1, then the poles in the transfer function are complex conjugates. Let s look at f t H t f s / s. So, for a 2 nd order system: Undrdamd Sysms Undrdamd Sysms nd Ordr Sysms Ouu modld wih a nd ordr ODE: d y dy a a1 a0 y b f If a 0 0, hn: whr: a d y a1 dy b d y dy y f y f a a a 0 0 0 is h naural riod of oscillaion. is h daming facor.

More information

Fourier Techniques Chapters 2 & 3, Part I

Fourier Techniques Chapters 2 & 3, Part I Fourir chiqus Chaprs & 3, Par I Dr. Yu Q. Shi Dp o Elcrical & Compur Egirig Nw Jrsy Isiu o chology Email: shi@i.du usd or h cours: , 4 h Ediio, Lahi ad Dog, Oord

More information

Exercises for lectures 23 Discrete systems

Exercises for lectures 23 Discrete systems Exrciss for lcturs 3 Discrt systms Michal Šbk Automatické říí 06 30-4-7 Stat-Spac a Iput-Output scriptios Automatické říí - Kybrtika a robotika Mols a trasfrs i CSTbx >> F=[ ; 3 4]; G=[ ;]; H=[ ]; J=0;

More information

GRAPHS IN SCIENCE. drawn correctly, the. other is not. Which. Best Fit Line # one is which?

GRAPHS IN SCIENCE. drawn correctly, the. other is not. Which. Best Fit Line # one is which? 5 9 Bt Ft L # 8 7 6 5 GRAPH IN CIENCE O of th thg ot oft a rto of a xrt a grah of o k. A grah a vual rrtato of ural ata ollt fro a xrt. o of th ty of grah you ll f ar bar a grah. Th o u ot oft a l grah,

More information

Variational Equation or Continuous Dependence on Initial Condition or Trajectory Sensitivity & Floquet Theory & Poincaré Map

Variational Equation or Continuous Dependence on Initial Condition or Trajectory Sensitivity & Floquet Theory & Poincaré Map Vaiaioal Equaio o Coiuous Dpc o Iiial Coiio o Tajco Ssiivi & Floqu Tho & Poicaé Map. Gal ia o ajco ssiivi.... Homogous Lia Tim Ivaia Ssm...3 3. No - Homogous Lia Tim Ivaia Ssm...3 Eampl (LTI:.... Homogous

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

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +

More information

Fourier transform. Continuous-time Fourier transform (CTFT) ω ω

Fourier transform. Continuous-time Fourier transform (CTFT) ω ω Fourier rasform Coiuous-ime Fourier rasform (CTFT P. Deoe ( he Fourier rasform of he sigal x(. Deermie he followig values, wihou compuig (. a (0 b ( d c ( si d ( d d e iverse Fourier rasform for Re { (

More information

K3 p K2 p Kp 0 p 2 p 3 p

K3 p K2 p Kp 0 p 2 p 3 p Mah 80-00 Mo Ar 0 Chaer 9 Fourier Series ad alicaios o differeial equaios (ad arial differeial equaios) 9.-9. Fourier series defiiio ad covergece. The idea of Fourier series is relaed o he liear algebra

More information

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems Inrucor Soluion for Aignmn Chapr : Tim Domain Anali of LTIC Sm Problm i a 8 x x wih x u,, an Zro-inpu rpon of h m: Th characriic quaion of h LTIC m i i 8, which ha roo a ± j Th zro-inpu rpon i givn b zi

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

Modeling of the CML FD noise-to-jitter conversion as an LPTV process

Modeling of the CML FD noise-to-jitter conversion as an LPTV process Modlig of h CML FD ois-o-ir covrsio as a LPV procss Marko Alksic. Rvisio hisory Vrsio Da Comms. //4 Firs vrsio mrgd wo docums. Cyclosaioary Nois ad Applicaio o CML Frqucy Dividr Jir/Phas Nois Aalysis fil

More information

Poisson process Markov process

Poisson process Markov process E2200 Quuing hory and lraffic 2nd lcur oion proc Markov proc Vikoria Fodor KTH Laboraory for Communicaion nwork, School of Elcrical Enginring 1 Cour oulin Sochaic proc bhind quuing hory L2-L3 oion proc

More information

Phonics Bingo Ladders

Phonics Bingo Ladders Poi Bio Lddr Poi Bio Lddr Soli Ti Rour Soli I. r r riio o oooy did rroduil or lroo u. No or r o uliio y rrodud i wol or i r, or ord i rrivl y, or rid i y wy or y y, lroi, il, oooyi, rordi, or orwi, wiou

More information

Review Topics from Chapter 3&4. Fourier Series Fourier Transform Linear Time Invariant (LTI) Systems Energy-Type Signals Power-Type Signals

Review Topics from Chapter 3&4. Fourier Series Fourier Transform Linear Time Invariant (LTI) Systems Energy-Type Signals Power-Type Signals Rviw opics from Chapr 3&4 Fourir Sris Fourir rasform Liar im Ivaria (LI) Sysms Ergy-yp Sigals Powr-yp Sigals Fourir Sris Rprsaio for Priodic Sigals Dfiiio: L h sigal () b a priodic sigal wih priod. ()

More information

Improved estimation of population variance using information on auxiliary attribute in simple random sampling. Rajesh Singh and Sachin Malik

Improved estimation of population variance using information on auxiliary attribute in simple random sampling. Rajesh Singh and Sachin Malik Imrovd imaio of oulaio variac uig iformaio o auxiliar ariu i iml radom amlig Rajh igh ad achi alik Darm of aiic, Baara Hidu Uivri Varaai-5, Idia (righa@gmail.com, achikurava999@gmail.com) Arac igh ad Kumar

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

Modeling and Evaluation of Linear Oscillating Actuators

Modeling and Evaluation of Linear Oscillating Actuators hp://d.doi.org/./ji...7 Joural of raioal Cofr o lrial Mahi ad Sy vol., o., pp. 7~, 7 Modlig ad valuaio of Liar Oillaig uaor X. Ch* ad Z. Q. Zhu* bra Th opraio of liar oillaig y i opliad, ivolvig y oliarii

More information

c. What is the average rate of change of f on the interval [, ]? Answer: d. What is a local minimum value of f? Answer: 5 e. On what interval(s) is f

c. What is the average rate of change of f on the interval [, ]? Answer: d. What is a local minimum value of f? Answer: 5 e. On what interval(s) is f Essential Skills Chapter f ( x + h) f ( x ). Simplifying the difference quotient Section. h f ( x + h) f ( x ) Example: For f ( x) = 4x 4 x, find and simplify completely. h Answer: 4 8x 4 h. Finding the

More information

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15]

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15] S.Y. B.Sc. (IT) : Sm. III Applid Mahmaics Tim : ½ Hrs.] Prlim Qusion Papr Soluion [Marks : 75 Q. Amp h following (an THREE) 3 6 Q.(a) Rduc h mari o normal form and find is rank whr A 3 3 5 3 3 3 6 Ans.:

More information

Web-appendix 1: macro to calculate the range of ( ρ, for which R is positive definite

Web-appendix 1: macro to calculate the range of ( ρ, for which R is positive definite Wb-basd Supplmary Marials for Sampl siz cosidraios for GEE aalyss of hr-lvl clusr radomizd rials by Sv Trsra, Big Lu, oh S. Prissr, Tho va Achrbrg, ad Gorg F. Borm Wb-appdix : macro o calcula h rag of

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

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