CONTROL SYSTEMS. Chapter 3 : Time Response Analysis. [GATE EE 1991 IIT-Madras : 2 Mark]

Size: px
Start display at page:

Download "CONTROL SYSTEMS. Chapter 3 : Time Response Analysis. [GATE EE 1991 IIT-Madras : 2 Mark]"

Transcription

1 CONTROL SYSTEMS Chper 3 : Time Repoe lyi GTE Objecive & Numericl Type Soluio Queio 4 [GTE EC 99 IIT-Mdr : Mrk] uiy feedbck corol yem h he ope loop rfer fucio. 4( ) G () ( ) If he ipu o he yem i ui rmp, he edy e error will be () (B).5 (C) (D). () Sol. 4 Give : G, d r () u () Queio 6 Tkig Lplce rform of r(), we ge R () Sedy e error i give by, R() e lim E( ) lim GH ( ) ( ) e lim lim 4( ) 4( ) ( ) ( ) Hece, he correc opio i (). lerively, Velociy error coefficie i give by, 4( ) v lim G() H () lim ( ) Sedy e error for rmp ipu i give by, e v For ype - yem edy e error due o rmp ipu will be zero. [GTE EE 99 IIT-Mdr : Mrk] fir order yem d i repoe o ui ep ipu re how i figure below, he yem prmeer d re repecively c (). r () c (). () 5, (B), 5 (C), (D), (ec)

2 . () Sol. C () For fir order yem loop rfer fucio i d i repoe o ui ep ipu re how R () i figure below. c () c e / () ( ) For he give rfer fucio c () C () R () d i repoe. (ec). From he figure, ime co i. ec. O comprig wih bove drd equio, we ge, 5. Uig fil vlue heorem edy e oupu c be wrie, c lim c( ) lim C( ) From figure, c c. Hece, he correc opio i (). Queio 7 [GTE EC 99 IIT-Delhi : 8 Mrk] Block digrm model of poiio corol yem i how i figure. (ec) lim R( ) lim R () mplifier r () c () Moor (.5) Y() () I bece of derivive feedbck ( ), deermie dmpig rio of he yem for mplifier gi 5. lo fid he edy e error o ui rmp ipu. (b) Fid uible vlue of he prmeer d o h dmpig rio of he yem i icreed o.7 wihou ffecig he edy-e error obied i pr ().

3 Sol. Give : The give block digrm of poiiol corol yem i how i figure below. R () mplifier Moor (.5) Y() () Give : 5 G () d H() (.5) ( ) Cloed-loop rfer fucio for egive feedbck i give by, G () ( ).. (i) GH ( ) ( ) ( ) Trfer fucio for ecod-order yem wih ui ep ipu i give by, C ()..(ii) R () where, dmpig rio, url gulr frequecy O comprig equio(i) d (ii), we ge rd/ec. d Sedy e error i give by, R() e lim E( ) lim GH ( ) ( ) e lim lim.. ( ) ( ) (b) The ope loop rfer fucio c be wrie, OLTF [ ( )] The cloed loop rfer fucio c be wrie, Y () CLTF R () ( ) Trfer fucio for ecod-order yem wih ui ep ipu i give by, C () R () where, dmpig rio, url gulr frequecy..(i).. (ii) 3

4 Velociy error coefficie i give by, lim G( ) H( ).. (iii) (iv) From equio (iii) d equio (iv), we ge 5 d 4.. Queio 8 [GTE IN 99 IIT-Delhi : Mrk] For wh vlue of doe he yem how i figure hve zero edy e error [i.e., lim E( ) ] for ep ipu? v v lim [ ( )] Sedy e error i give by, e v.. O comprig equio (i) d (ii), we ge.7 E() 5. Sol. 4 () = (B) = (C) 4 (D) No vlue of () The give yem i how i figure. E() 5 DC gi of feedbck H() i H H H lim ( ) lim

5 Cloed-loop rfer fucio i give by, G () M() 5 GH ( ) ( ) ( ) ( 5 )( 4) ( )( 4) ( )( 4) M() 3 ( 5 )( 4)( ) ( )( 4) M() 3 9 ( ) (4) Sedy e error i give by, e lim E() lim R() M() H ( )( 4) e lim 4 R( ) 3 9 ( ) (4) For ui ep ipu R () ( )( 4) e lim ( ) (4) Hece, he correc opio i (). Queio 9 [GTE IN 993 IIT-Bomby : Mrk]. Sol. ui ep i pplied o fir order yem wihou ime dely. The repoe h vlue of.64 ui mi d ui edy e. The rfer fucio of he yem i () (B) (C) (D) () The fir order yem ep repoe i give by, c () ke, k e k mi,.64 k e mi 6ec. Fir order rfer fucio i give by, k G () 6. 5

6 Queio [GTE IN 994 IIT-hrgpur : Mrk] 8 uiy feedbck cloed loop ecod order yem h rfer fucio d i excied by.69 ep ipu of ui. The edy e error of he oupu i () (B). (C). (D).. (B) Sol Give :.6 G( ) T ().69 9 G( ).6..(i) Cloed-loop rfer fucio for egive feedbck i give by, G () G ( )..(ii) O comprig equio (i) d (ii), we ge 9 G ().6 Sedy e error i give by, R() e lim E( ) lim G ( ) 9.6 Hece, he correc opio i (B). Queio 4 [GTE EC 997 IIT-Mdr : 5 Mrk] The figure how he block digrm repreeio of corol yem. The yem i block h impule repoe h() e u(). The yem i block B h impule repoe hb () e u(). The block k i mplifier by fcor k. For he overll yem he ipu i x() d oupu y (). x () B y () k Y() () Fid he rfer fucio whe k. X( ) (b) Fid he impule repoe whe k. (c) Fid he vlue of k for which he yem become uble. Sol. Give : Impule repoe h() e u() Tkig Lplce rform, we ge H() Impule repoe hb () e u() Tkig Lplce rform, we ge HB() 6

7 () k, G() H() HB() Cloed-loop rfer fucio for egive feedbck i give by, Y() G() X () G() H() ( )( ). 3 3 ( )( ) (b) k Y () B H () X() ( )( ) d B H() Tkig ivere Lplce rform, we ge Impule repoe h () ( e e ) u (). (c) Vlue of k for uble yem k 3k Chrceriic equio 3k Rouh Tbulio : + k 3 + k Queio 33. For ibiliy k k yem i uble.. [GTE EC 999 IIT-Bomby : Mrk] If he cloed-loop rfer fucio of uiy egive feedbck yem i give by T... he he edy e error for ui rmp ipu i () (B) (C) (D) zero (D) T d r() = u()... Sol. Give : (i) 7

8 Cloed-loop rfer fucio for egive feedbck i give by, G () GH ( ) ( ) O comprig equio (i) d (ii), we ge G ()... Tkig Lplce rform of r(), we ge R () The edy e error due o ui rmp ipu i give by, e v Velociy error coefficie i give by, ( ) v lim G( ) H( )... So, h e Hece, he correc opio i (D). Queio 36 v The block digrm of feedbck yem i how i he figure. Ipu G ( 3)... (ii) [GTE EC IIT-hrgpur : 5 Mrk] Oupu G V (). Sep repoe T Sol. () Fid he cloed loop rfer fucio. (b) Fid he miimum vlue of G for which he ep repoe of he yem would exhibi overhoo, how i figure. (c) For G equl o wice he miimum vlue, fid he ime period T idiced i he figure. () The give block digrm of feedbck yem i how below. Ipu G ( 3) Oupu G 8

9 Queio 46 Cloed-loop rfer fucio for egive feedbck i give by, G G () ( 3) G ( ) G ( 3) G G T () ( 3) G 3G (b) Give : Mximum pek overhoo i give by, MPO e. Dmpig rio i.6 For he give repoe rfer fucio i G..(i) 3G Trfer fucio for ecod-order yem i give by, C ()..(ii) R () where, dmpig rio, url gulr frequecy O comprig equio (i) d equio (ii), we ge 3 d G 3 G 3 G.6 G 6.5. (c) G' G G' Dmped frequecy of ocillio i give by, d 3.53 (.44) 3.97 T T.96 ec.. C () 4 ecod-order yem h he rfer fucio R () 4 4 he repoe c () of he yem i repreeed by ().5 Sep Repoe (B). [GTE EC 3 IIT-Mdr : Mrk]. wih r () he ui-ep fucio, Sep Repoe mpliude.5 mpliude Time (ec) Time (ec) 9

10 (C). Sep Repoe (D). Sep Repoe mpliude Time (ec). (B) Sol. Give : C () 4 R () 44 Trfer fucio for ecod-order yem i give by, C () R () where, dmpig rio, url gulr frequecy..(i)..(ii) 4 rd/ec 4 Sice, yem i criiclly dmped. The fil vlue c be clculed uig fil vlue heorem, 4 R( ) c lim c lim 44 For % olerce bd elig ime i give by, 4 4 T ec Thi me h he repoe c () will be ele o i fil vlue fer ec. Hece, he correc opio i (B). Queio 6 [GTE IN 4 IIT-Delhi : Mrk] ceri yem exhibied overhoo of 6% whe ubjeced o ipu of u ( ), where u ( ) i ep ipu. The dmpig rio d decy rio repecively re ()(.8,.8) (B) (.5,.56) (C) (.,.66) (D)(.,.89). (B) Sol. Give : MPO = 6 % [By deful pek overhoo] Percege MPO i give by, % MPO e 6 e l(.6) mpliude.5 5 Time (ec)

11 Dmpig rio ( ).5 Cocep of decy rio : c () c mx pek overhoo d pek overhoo p Decy rio d pek overhoo pek overhoo The d pek overhoo i give by, The decy rio i give by, 3 d %MPO( ) e Decy rio (.5) e e (.5) e e Hece, he correc opio i (B). Queio 67 [GTE EE 7 IIT-pur : Mrk] Coider he feedbck yem how below which i ubjeced o ui ep ipu. The yem i ble d followig prmeer 4,, 5 rd/ec d.7. The edy e vlue of Z i p i i Z p. () (B).5 (C). (D) () Sol. Give : R ()

12 The give feedbck yem i how below. R () E() i Z p C () G() The equivle repreeio c be drw how i figure below. R() E () p i G() C () Cloed-loop rfer fucio for egive uiy feedbck i give by, C () G'() T () R () G'() i p G() C () R () i p G( ) From he figure, he error igl c be wrie, i p G() E() R() C() R () i p G( ) E () i p G( ) From he figure, () i i Z E() ( p i) G( ) i Z( ) ( p i) i Z() ( p i) Sedy e vlue c be clculed, z lim z( ) lim Z( ) i i Hece, he correc opio i ().

13 Queio 83 wo-loop poiio corol yem i how below. R () Moor ( ) [GTE EE IIT-Mdr : Mrk] Y() k Tcho-geeror. Sol. The gi k of he Tcho-geeror ifluece mily by () pek overhoo. (B) url frequecy of ocillio. (C) phe hif of he cloed loop rfer fucio very low frequecy (D) phe hif of he cloed loop rfer fucio very high frequecy () Give : wo-loop poiio corol yem i how below. R () Moor ( ).. Y() k Tcho-geeror O olvig he ier loop, we ge ( ) k ( k) ( ) Now, he overll rfer fucio c be wrie, Y() R() ( k) Trfer fucio for ecod-order yem wih ui ep ipu i give by, C () R () where, dmpig rio, url gulr frequecy O comprig equio (i) d equio (ii), we ge ω d ξω k k So ξ Mximum pek overhoo i give by,..(i)..(ii)..(iii) MPO e MPO, Pek overhoo deped o dmpig fcor ξ d ξ i proporiol o gi from equio (iii). So, gi k of he Tcho-geeror ifluece mily by pek overhoo. Hece, he correc opio i (). 3

14 Queio 85 [GTE EC/EE/IN 3 IIT-Bomby : Mrk] () The ope-loop rfer fucio of dc moor i give. Whe coeced i feedbck V () how below, he pproxime vlue of h will reduce he ime co of he cloed loop yem by oe hudred ime compred o h of he ope-loop yem i V () R () + () () (B) 5 (C) (D). (C) Sol. () Give : cloed loop ope loop where repree ime co d V () V () R () + () C () () For fir order yem loop rfer fucio i comprig wih ope loop R () V () Cloed-loop rfer fucio for egive uiy feedbck i give by, G () G ( ) Here G () () R () ( ) Dividig umeror d deomior by () R () C For fir order yem loop rfer fucio i (). O comprig wih () we ge R () R() cloed loop We hve cloed loop ope loop Hece, he correc opio i (C). 4

15 Queio 88 [GTE EC 4 (Se-) IIT-hrgpur : Mrk] For he followig feedbck yemg (). The % elig ime of he ep repoe i ( )( ) required o be le h ecod. r C () G () y. Which oe of he followig compeor C () chieve hi? () 3 5 (C) Sol. Give :.3 (B) 5 G () ( )( ) (C) ( 4) (D) Cloed-loop rfer fucio for egive uiy feedbck i give by, G () ( )( ) T () G ( ) ( )( ) ( )( ) 33 Trfer fucio for ecod-order yem i give by, C () R () (i)..(ii) where, dmpig rio, url gulr frequecy O comprig equio (i) d (ii), we ge 3.5 For % olerce bd elig ime i give by, ec.5 Thu, i order o mke elig ime le h ec. Proporiol derivive (PD) coroller hould be ued. From opio (C) where C() = ( + 4). New rfer fucio T'( ) c be wrie, ( 4) CG () () ( )( ) T'( ) CG ( ) ( ) ( 4) ( )( ) ( 4) ( 4) T'( ) 38 5 O comprig equio (i) d (iii), we ge 5.5..(iii) 5

16 For % olerce bd elig ime i give by, 4 4.6ec <.5 Hece, he correc opio i (C). Queio 94 [GTE EC 5 (Se-3) IIT-pur : Mrk] The poiio corol of DC ervo-moor i give i he figure. The vlue of he prmeer re N-m/, R, T L.H, J 5kg-m, B N-m/(rd/ec) d V/(rd/ec). The edy-e poiio repoe (i rdi) due o ui impule diurbce orque Td i. Td () b V () T R L J B () b..5 Sol. Give : T N-m/, R, L.H, J 5kg-m, B N-m/(rd/ec), Td () V/(rd/ec) b V () T R L J B () b For ui impule Td () X() J B T D () b T ( J B ) ( R L ) X() TD () ( JB)( R L) bt TD () () ( JB)( R L) bt () ( JB)( R L) bt Sedy e repoe c be clculed uig fil vlue heorem. pplyig fil vlue heorem, () lim ( ) lim ( JB )( R L ) bt ().5 BR bt Hece, he correc wer i.5. T () D 6

17 Queio 97 I he feedbck yem how below G (). ( ) [GTE EC 6 (Se-) IISc-Bglore : Mrk] The ep repoe of he cloed -loop yem hould hve miimum elig ime d hve o overhoo. r G () y The required vlue of gi o chieve hi i.. Sol. Give : G (), G'( ) G( ) The ecod order cloed loop rfer fucio wih egive uiy feedbck i give by, Y() G'() R() G'() Miimum elig ime d o overhoo From equio (i), d. (i) IES Objecive Soluio Queio 4 [IES EE 99] Dmpig fcor d u-dmped url frequecy for he poiio corol yem i give by () J, J repecively (B), repecively fj J. Sol. f (C), J J J repecively (D), f 7 J repecively (C) Chrceriic equio of poiio corol yem i give by, f J J.(i) Sdrd form of ecod order chrceriic equio i give by,.(ii)

18 O comprig equio (i) d (ii), we ge f J J f J J rd/ec J f J Hece, he correc opio i (C). Queio 4 [IES EE 995] Coider yem how i he give figure. If he yem i diribued o h c(), he c () for ui ep ipu will be () (B) (C) (D). (C) Sol. Give : C () U () C () U () C () Tkig ivere Lplce rform, we ge c () L c () c() Hece, he correc opio i (C). Queio 4 [IES EC 3]. The ui impule repoe of yem hvig rfer fucio () (D) Sol. Give : (B) C () d R () R () C () Ui Impule Repoe 8 (C) i how bove. The vlue of i: (D)

19 Tkig ivere Lplce rform, we ge c () e Time co Time co i he ime which c ( ) e.37 So, Hece, he correc opio i (D). Queio 56 [IES EE 5] Which oe of he followig i he edy e error of corol yem wih ep error, rmp error d prbolic error co p, v d repecively for he ipu ( )3 u( )? () (B) (C) (D) p p p p. (D) Sol. Give : r () 3( ) u () Tkig Lplce rform, we ge 3 6 R () 3 Sedy e error i give by, R() e lim lim G ( ) G ( ) e e 3 6 lim lim G G 3 6 lim G ( ) lim G ( ) ( ) ( ) 3 6 e p Hece, he correc opio i (D). Queio 76 [IES EE 7] For uiy feedbck corol yem wih forwrd ph rfer fucio G (), wh i error 5 rfer fucio We () ued for deermiio of error coefficie? 5 ( 5) () (B) (C) (D) (C) Sol. Give : G (), H () 5 9

20 W R () () e C () 5 We () R() G() We () R () 5 We () 5 R() 5 Hece, he correc opio i (C). Queio 8 [IES EE 8] I he ime domi lyi of feedbck corol yem which oe pir of he followig i o correcly mched? () Uder dmped : Miimize he effec of olieriie (B) Domi pole : Trie die ou more rpidly (C) Fr wy pole o he lef hlf of ple : Trie die ou more rpidly (D) pole er o he lef of domi complex pole d er zero : Mgiude of rie i mll. (B) Sol. Domi Pole : The pole h re cloe o he imgiry xi i he lef-hlf -ple give rie o rie repoe h will decy relively lowly, where he pole h re fr wy from he xi (relive o he domi pole) correpod o f-decyig ime repoe. Hece, he correc opio i (B). Queio 93 [IES EE 9] I fluid flow yem wo fluid re mixed i pproprie proporio. The cocerio he mixig poi i y() d i i reproduced wihou chge, T d ecod ler he moiorig poi b(). Wh i he rfer fucio bewee b() d y()? (Where S i dice bewee moiorig poi d mixig poi) Td () e T d (B) e T d (C) e d (D) e T. (C) Sol. Give : y () b ( T d ) Tkig Lplce rform, we ge d Y () e T B () Y () T d e B () Hece, he correc opio i (C). Queio [IES EC, ] Whe wo ideicl fir order yem hve bee ccded o-iercively he ui ep repoe o he yem will be () Over-dmped (B) Uder-dmped (C) U-dmped (D) Criiclly-dmped. (D) Sol. Ccdig of wo fir order yem wih o-iercively

21 R R mplifier wih gi = Vi C C V Vi () RC RC V () V () Vi () ( RC) The pole-zero digrm of bove rfer fucio j Hece, he correc opio i (D). Queio [IES EC ] erio () : ecod order yem ubjeced o ui impule ocille i url frequecy. Reo (R) : Impule ipu coi frequecie from o. Code : () Boh d R re idividully rue d R i he correc explio of. (B) Boh d R re idividully rue bu R i o he correc explio of. (C) i rue bu R i fle. (D) i fle bu R i rue.. (D) Sol. For, ecod order yem ubjeced o ui impule ocille i url frequecy bu i i o lwy rue. U-dmped pole /RC Two repeed pole. So, yem i criicl dmped ( = ). c () Mrgil ble Imgiry j The impule repoe coi ll he frequecy compoe hvig frequecy repoe L() Hece, he correc opio i (D). f

22 Queio 36 [IES EE 3] forcig fucio fucio i ( ) u( ) i pplied o lier yem. The Lplce rform of he forcig () 3 e (B) e (C) e e (D). (D) Sol. Give : f() ( ) u( ) ( ) u( ) f () ( ) u( ) u( ) Tkig Lplce rform, we ge e e F () e 3 3 e 3 Hece, he correc opio i (D). Queio 39 [IES EE 4] The domi pole of ervo-yem re loced ( j). The dmpig rio of he yem i () (B).8 (C).77 (D).6. (C) Sol. Give : Pole re loced j.(i) Pole of ecod-order rfer fucio i give by, O comprig equio (i) d (ii), we ge j.(ii) ( ) 4 4. (iii) d 4.(iv) From equio (iii) d (iv), we ge Hece, he correc opio i (C). Queio 43 [IES EE 4] uiy feedbck ecod order corol yem i chrcerized by he ope loop rfer fucio G (), H () J ( B). J = mome of ieri, B = dmpig co d = yem gi The rie repoe pecificio which i o ffeced by yem gi vriio i () Pek overhoo (B) Rie ime (C) Selig ime (D) Time o pek overhoo (C)

23 Sol. Give : G () d H( ) J ( B) Chrceriic equio i give by, GH ( ) ( ) J B B J J.(i) Chrceriic equio for drd ecod-order yem i give by,.(ii) O comprig equio (i) d (ii), we ge J d B J Pek overhoo i give by, M p e Sice deped o gi o pek overhoo ffeced by. Rie ime i give by, r d B J Sie d deped o gi o rie ime ffeced by, elig ime i give by, 4 4 8J B B J Selig ime i idepede of gi o will o be ffeced by. Hece, he correc opio i (C). 3

CONTROL SYSTEMS. Chapter 3 : Time Response Analysis

CONTROL SYSTEMS. Chapter 3 : Time Response Analysis CONTROL SYSTEMS Chper 3 : Time Repoe Alyi GATE Objecive & Numericl Type Soluio Queio 4 [Prcice Book] [GATE EC 99 IIT-Mdr : Mrk] A uiy feedbck corol yem h he ope loop rfer fucio. 4( ) G () ( ) If he ipu

More information

Chapter #5 EEE Control Systems

Chapter #5 EEE Control Systems Sprig EEE Chpter #5 EEE Cotrol Sytem Deig Bed o Root Locu Chpter / Sprig EEE Deig Bed Root Locu Led Cotrol (equivlet to PD cotrol) Ued whe the tedy tte propertie of the ytem re ok but there i poor performce,

More information

NERC Standard The bulk power system will achieve an adequate level of reliability when it is planned and operated such that:

NERC Standard The bulk power system will achieve an adequate level of reliability when it is planned and operated such that: roducio o ower Syem Sbiliy Mohmed A. El-Shrkwi Deprme o Elecricl Egieerig Uiveriy o Whigo Sele, WA 9895 hp://smreergylb.com Emil: elhrkwi@ee.whigo.edu NERC Sdrd The bulk power yem will chieve deque level

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

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as. Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o

More information

Chapter #2 EEE Subsea Control and Communication Systems

Chapter #2 EEE Subsea Control and Communication Systems EEE 87 Chpter # EEE 87 Sube Cotrol d Commuictio Sytem Trfer fuctio Pole loctio d -ple Time domi chrcteritic Extr pole d zero Chpter /8 EEE 87 Trfer fuctio Lplce Trform Ued oly o LTI ytem Differetil expreio

More information

Reinforcement Learning

Reinforcement Learning Reiforceme Corol lerig Corol polices h choose opiml cios Q lerig Covergece Chper 13 Reiforceme 1 Corol Cosider lerig o choose cios, e.g., Robo lerig o dock o bery chrger o choose cios o opimize fcory oupu

More information

Network Theory (Solutions for Volume 1 Class Room Practice Questions)

Network Theory (Solutions for Volume 1 Class Room Practice Questions) Nework Theory (Soluio for olume l oom Prcice Queio). A: (c) We kow h; dq() i() = d dq() = i().d. Bic ocep 5 ec q = i ()d = Are uder i() upo 5 ec q = q q q = 5 ( ) ( ) q = 5c. A: () 8 i(), Amp 5 5 6 7 A

More information

Chapter #3 EEE Subsea Control and Communication Systems

Chapter #3 EEE Subsea Control and Communication Systems EEE 87 Chter #3 EEE 87 Sube Cotrol d Commuictio Sytem Cloed loo ytem Stedy tte error PID cotrol Other cotroller Chter 3 /3 EEE 87 Itroductio The geerl form for CL ytem: C R ', where ' c ' H or Oe Loo (OL)

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

Week 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead)

Week 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead) Week 8 Lecure 3: Problems 49, 5 Fourier lysis Coursewre pp 6-7 (do look Frech very cofusig look i he Coursewre ised) Fourier lysis ivolves ddig wves d heir hrmoics, so i would hve urlly followed fer he

More information

ELEC 372 LECTURE NOTES, WEEK 6 Dr. Amir G. Aghdam Concordia University

ELEC 372 LECTURE NOTES, WEEK 6 Dr. Amir G. Aghdam Concordia University ELEC 37 LECTURE NOTES, WEE 6 Dr mir G ghdm Cocordi Uiverity Prt of thee ote re dpted from the mteril i the followig referece: Moder Cotrol Sytem by Richrd C Dorf d Robert H Bihop, Pretice Hll Feedbck Cotrol

More information

F.Y. Diploma : Sem. II [CE/CR/CS] Applied Mathematics

F.Y. Diploma : Sem. II [CE/CR/CS] Applied Mathematics F.Y. Diplom : Sem. II [CE/CR/CS] Applied Mhemics Prelim Quesio Pper Soluio Q. Aemp y FIVE of he followig : [0] Q. () Defie Eve d odd fucios. [] As.: A fucio f() is sid o e eve fucio if f() f() A fucio

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

BINOMIAL THEOREM OBJECTIVE PROBLEMS in the expansion of ( 3 +kx ) are equal. Then k =

BINOMIAL THEOREM OBJECTIVE PROBLEMS in the expansion of ( 3 +kx ) are equal. Then k = wwwskshieduciocom BINOMIAL HEOREM OBJEIVE PROBLEMS he coefficies of, i e esio of k e equl he k /7 If e coefficie of, d ems i e i AP, e e vlue of is he coefficies i e,, 7 ems i e esio of e i AP he 7 7 em

More information

S.E. Sem. III [EXTC] Applied Mathematics - III

S.E. Sem. III [EXTC] Applied Mathematics - III S.E. Sem. III [EXTC] Applied Mhemic - III Time : 3 Hr.] Prelim Pper Soluio [Mrk : 8 Q.() Fid Lplce rform of e 3 co. [5] A.: L{co }, L{ co } d ( ) d () L{ co } y F.S.T. 3 ( 3) Le co 3 Q.() Prove h : f (

More information

State-Space Model. In general, the dynamic equations of a lumped-parameter continuous system may be represented by

State-Space Model. In general, the dynamic equations of a lumped-parameter continuous system may be represented by Sae-Space Model I geeral, he dyaic equaio of a luped-paraeer coiuou ye ay be repreeed by x & f x, u, y g x, u, ae equaio oupu equaio where f ad g are oliear vecor-valued fucio Uig a liearized echique,

More information

S Radio transmission and network access Exercise 1-2

S Radio transmission and network access Exercise 1-2 S-7.330 Rdio rnsmission nd nework ccess Exercise 1 - P1 In four-symbol digil sysem wih eqully probble symbols he pulses in he figure re used in rnsmission over AWGN-chnnel. s () s () s () s () 1 3 4 )

More information

HOMEWORK 6 - INTEGRATION. READING: Read the following parts from the Calculus Biographies that I have given (online supplement of our textbook):

HOMEWORK 6 - INTEGRATION. READING: Read the following parts from the Calculus Biographies that I have given (online supplement of our textbook): MAT 3 CALCULUS I 5.. Dokuz Eylül Uiversiy Fculy of Sciece Deprme of Mhemics Isrucors: Egi Mermu d Cell Cem Srıoğlu HOMEWORK 6 - INTEGRATION web: hp://kisi.deu.edu.r/egi.mermu/ Tebook: Uiversiy Clculus,

More information

SLOW INCREASING FUNCTIONS AND THEIR APPLICATIONS TO SOME PROBLEMS IN NUMBER THEORY

SLOW INCREASING FUNCTIONS AND THEIR APPLICATIONS TO SOME PROBLEMS IN NUMBER THEORY VOL. 8, NO. 7, JULY 03 ISSN 89-6608 ARPN Jourl of Egieerig d Applied Sciece 006-03 Ai Reerch Publihig Nework (ARPN). All righ reerved. www.rpjourl.com SLOW INCREASING FUNCTIONS AND THEIR APPLICATIONS TO

More information

Existence Of Solutions For Nonlinear Fractional Differential Equation With Integral Boundary Conditions

Existence Of Solutions For Nonlinear Fractional Differential Equation With Integral Boundary Conditions Reserch Ivey: Ieriol Jourl Of Egieerig Ad Sciece Vol., Issue (April 3), Pp 8- Iss(e): 78-47, Iss(p):39-6483, Www.Reserchivey.Com Exisece Of Soluios For Nolier Frciol Differeil Equio Wih Iegrl Boudry Codiios,

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

Physics 2A HW #3 Solutions

Physics 2A HW #3 Solutions Chper 3 Focus on Conceps: 3, 4, 6, 9 Problems: 9, 9, 3, 41, 66, 7, 75, 77 Phsics A HW #3 Soluions Focus On Conceps 3-3 (c) The ccelerion due o grvi is he sme for boh blls, despie he fc h he hve differen

More information

Chap8 - Freq 1. Frequency Response

Chap8 - Freq 1. Frequency Response Chp8 - Freq Frequecy Repoe Chp8 - Freq Aged Prelimirie Firt order ytem Frequecy repoe Low-p filter Secod order ytem Clicl olutio Frequecy repoe Higher order ytem Chp8 - Freq 3 Frequecy repoe Stedy-tte

More information

LAPLACE TRANSFORMS. 1. Basic transforms

LAPLACE TRANSFORMS. 1. Basic transforms LAPLACE TRANSFORMS. Bic rnform In hi coure, Lplce Trnform will be inroduced nd heir properie exmined; ble of common rnform will be buil up; nd rnform will be ued o olve ome dierenil equion by rnforming

More information

Note 7 Root-Locus Techniques

Note 7 Root-Locus Techniques Lecture Note of Cotrol Syte I - ME 43/Alyi d Sythei of Lier Cotrol Syte - ME862 Note 7 Root-Locu Techique Deprtet of Mechicl Egieerig, Uiverity Of Sktchew, 57 Cpu Drive, Sktoo, S S7N 5A9, Cd Lecture Note

More information

Decompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files)

Decompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files) . Iroduco Probblsc oe-moh forecs gudce s mde b 50 esemble members mproved b Model Oupu scs (MO). scl equo s mde b usg hdcs d d observo d. We selec some prmeers for modfg forecs o use mulple regresso formul.

More information

Review for the Midterm Exam.

Review for the Midterm Exam. Review for he iderm Exm Rememer! Gross re e re Vriles suh s,, /, p / p, r, d R re gross res 2 You should kow he disiio ewee he fesile se d he udge se, d kow how o derive hem The Fesile Se Wihou goverme

More information

CONTROL SYSTEMS. Chapter 7 : Bode Plot. 40dB/dec 1.0. db/dec so resultant slope will be 20 db/dec and this is due to the factor s

CONTROL SYSTEMS. Chapter 7 : Bode Plot. 40dB/dec 1.0. db/dec so resultant slope will be 20 db/dec and this is due to the factor s CONTROL SYSTEMS Chapter 7 : Bode Plot GATE Objective & Numerical Type Solutio Quetio 6 [Practice Book] [GATE EE 999 IIT-Bombay : 5 Mark] The aymptotic Bode plot of the miimum phae ope-loop trafer fuctio

More information

graph of unit step function t

graph of unit step function t .5 Piecewie coninuou forcing funcion...e.g. urning he forcing on nd off. The following Lplce rnform meril i ueful in yem where we urn forcing funcion on nd off, nd when we hve righ hnd ide "forcing funcion"

More information

[ 20 ] 1. Inequality exists only between two real numbers (not complex numbers). 2. If a be any real number then one and only one of there hold.

[ 20 ] 1. Inequality exists only between two real numbers (not complex numbers). 2. If a be any real number then one and only one of there hold. [ 0 ]. Iequlity eists oly betwee two rel umbers (ot comple umbers).. If be y rel umber the oe d oly oe of there hold.. If, b 0 the b 0, b 0.. (i) b if b 0 (ii) (iii) (iv) b if b b if either b or b b if

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

NOTES ON BERNOULLI NUMBERS AND EULER S SUMMATION FORMULA. B r = [m = 0] r

NOTES ON BERNOULLI NUMBERS AND EULER S SUMMATION FORMULA. B r = [m = 0] r NOTES ON BERNOULLI NUMBERS AND EULER S SUMMATION FORMULA MARK WILDON. Beroulli umbers.. Defiiio. We defie he Beroulli umbers B m for m by m ( m + ( B r [m ] r r Beroulli umbers re med fer Joh Beroulli

More information

LOCUS 1. Definite Integration CONCEPT NOTES. 01. Basic Properties. 02. More Properties. 03. Integration as Limit of a Sum

LOCUS 1. Definite Integration CONCEPT NOTES. 01. Basic Properties. 02. More Properties. 03. Integration as Limit of a Sum LOCUS Defiie egrio CONCEPT NOTES. Bsic Properies. More Properies. egrio s Limi of Sum LOCUS Defiie egrio As eplied i he chper iled egrio Bsics, he fudmel heorem of clculus ells us h o evlue he re uder

More information

ONE RANDOM VARIABLE F ( ) [ ] x P X x x x 3

ONE RANDOM VARIABLE F ( ) [ ] x P X x x x 3 The Cumulive Disribuio Fucio (cd) ONE RANDOM VARIABLE cd is deied s he probbiliy o he eve { x}: F ( ) [ ] x P x x - Applies o discree s well s coiuous RV. Exmple: hree osses o coi x 8 3 x 8 8 F 3 3 7 x

More information

Theoretical Physics Prof. Ruiz, UNC Asheville, doctorphys on YouTube Chapter Q Notes. Laplace Transforms. Q1. The Laplace Transform.

Theoretical Physics Prof. Ruiz, UNC Asheville, doctorphys on YouTube Chapter Q Notes. Laplace Transforms. Q1. The Laplace Transform. Theoreical Phyic Prof. Ruiz, UNC Aheville, docorphy o YouTue Chaper Q Noe. Laplace Traform Q1. The Laplace Traform. Pierre-Simo Laplace (1749-187) Courey School of Mhemic ad Siic Uiveriy of S. Adrew, Scolad

More information

Chapter 2: Evaluative Feedback

Chapter 2: Evaluative Feedback Chper 2: Evluive Feedbck Evluing cions vs. insrucing by giving correc cions Pure evluive feedbck depends olly on he cion ken. Pure insrucive feedbck depends no ll on he cion ken. Supervised lerning is

More information

Suggested Solutions to Assignment 1 (REQUIRED)

Suggested Solutions to Assignment 1 (REQUIRED) EC 45 dvaced Macroecoomic Irucor: Sharif F ha Deparme of Ecoomic Wilfrid Laurier Uiveri Wier 28 Suggeed Soluio o igme (REQUIRED Toal Mar: 5 Par True/ Fale/ Ucerai Queio [2 mar] Explai wh he followig aeme

More information

Experiment 6: Fourier Series

Experiment 6: Fourier Series Fourier Series Experime 6: Fourier Series Theory A Fourier series is ifiie sum of hrmoic fucios (sies d cosies) wih every erm i he series hvig frequecy which is iegrl muliple of some pricipl frequecy d

More information

u(t) Figure 1. Open loop control system

u(t) Figure 1. Open loop control system Open loop conrol v cloed loop feedbac conrol The nex wo figure preen he rucure of open loop and feedbac conrol yem Figure how an open loop conrol yem whoe funcion i o caue he oupu y o follow he reference

More information

1. Six acceleration vectors are shown for the car whose velocity vector is directed forward. For each acceleration vector describe in words the

1. Six acceleration vectors are shown for the car whose velocity vector is directed forward. For each acceleration vector describe in words the Si ccelerio ecors re show for he cr whose eloci ecor is direced forwrd For ech ccelerio ecor describe i words he iseous moio of he cr A ri eers cured horizol secio of rck speed of 00 km/h d slows dow wih

More information

TEST-12 TOPIC : SHM and WAVES

TEST-12 TOPIC : SHM and WAVES Q. Four sprig coec wih ss s show i figure. Fid frequecy of S.H.. TEST- TOPIC : SH d WVES 4 7 (D) These wo coeced i series. So = = Now ll re i prllel so eq = 4 so freq. = 4 4 7 Q. sll ss execue S.H.. bou

More information

Integration and Differentiation

Integration and Differentiation ome Clculus bckgroud ou should be fmilir wih, or review, for Mh 404 I will be, for he mos pr, ssumed ou hve our figerips he bsics of (mulivrible) fucios, clculus, d elemer differeil equios If here hs bee

More information

One of the common descriptions of curvilinear motion uses path variables, which are measurements made along the tangent t and normal n to the path of

One of the common descriptions of curvilinear motion uses path variables, which are measurements made along the tangent t and normal n to the path of Oe of he commo descipios of cuilie moio uses ph ibles, which e mesuemes mde log he ge d oml o he ph of he picles. d e wo ohogol xes cosideed sepely fo eey is of moio. These coodies poide ul descipio fo

More information

t = s D Overview of Tests Two-Sample t-test: Independent Samples Independent Samples t-test Difference between Means in a Two-sample Experiment

t = s D Overview of Tests Two-Sample t-test: Independent Samples Independent Samples t-test Difference between Means in a Two-sample Experiment Overview of Te Two-Sample -Te: Idepede Sample Chaper 4 z-te Oe Sample -Te Relaed Sample -Te Idepede Sample -Te Compare oe ample o a populaio Compare wo ample Differece bewee Mea i a Two-ample Experime

More information

Suggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c)

Suggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c) per I. Le α 7 d β 7. The α d β re he roos o he equio, such h α α, β β, --- α β d αβ. For, α β For, α β α β αβ 66 The seme is rue or,. ssume Cosider, α β d α β y deiiio α α α α β or some posiive ieer.

More information

Transient Solution of the M/M/C 1 Queue with Additional C 2 Servers for Longer Queues and Balking

Transient Solution of the M/M/C 1 Queue with Additional C 2 Servers for Longer Queues and Balking Jourl of Mhemics d Sisics 4 (): 2-25, 28 ISSN 549-3644 28 Sciece ublicios Trsie Soluio of he M/M/C Queue wih Addiiol C 2 Servers for Loger Queues d Blkig R. O. Al-Seedy, A. A. El-Sherbiy,,2 S. A. EL-Shehwy

More information

t to be equivalent in the sense of measurement if for all functions gt () with compact support, they integrate in the same way, i.e.

t to be equivalent in the sense of measurement if for all functions gt () with compact support, they integrate in the same way, i.e. Cocoure 8 Lecure #5 I oy lecure we begi o re he iuio of lier h orer ODE wih icoiuou /or oiffereible ipu The meho we ll evelop (Lplce Trform) will be pplicble o oher ype of ipu, bu i epecilly relev whe

More information

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i) Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he

More information

Sampling Example. ( ) δ ( f 1) (1/2)cos(12πt), T 0 = 1

Sampling Example. ( ) δ ( f 1) (1/2)cos(12πt), T 0 = 1 Samplig Example Le x = cos( 4π)cos( π). The fudameal frequecy of cos 4π fudameal frequecy of cos π is Hz. The ( f ) = ( / ) δ ( f 7) + δ ( f + 7) / δ ( f ) + δ ( f + ). ( f ) = ( / 4) δ ( f 8) + δ ( f

More information

Corrupt the signal waveform Degrade the performance of communication systems

Corrupt the signal waveform Degrade the performance of communication systems Nie Nie : rd luui pwer i ye Crrup he igl wver Degrde he perre uii ye ure Nie: rd wderig ree eler i reir herl ie, rd lw hrge i eidur jui h ie, e. ddiive ie Zer-e Whie Gui-diribued Nie, pwer perl deiy /

More information

ECE 636: Systems identification

ECE 636: Systems identification ECE 636: Sysems ideificio Lecures 7 8 Predicio error mehods Se spce models Coiuous ime lier se spce spce model: x ( = Ax( + Bu( + w( y( = Cx( + υ( A:, B: m, C: Discree ime lier se spce model: x( + = A(

More information

Design of Controller for Robot Position Control

Design of Controller for Robot Position Control eign of Conroller for Robo oiion Conrol Two imporan goal of conrol: 1. Reference inpu racking: The oupu mu follow he reference inpu rajecory a quickly a poible. Se-poin racking: Tracking when he reference

More information

Laplace Examples, Inverse, Rational Form

Laplace Examples, Inverse, Rational Form Lecure 3 Ouline: Lplce Exple, Invere, Rionl For Announceen: Rein: 6: Lplce Trnfor pp. 3-33, 55.5-56.5, 7 HW 8 poe, ue nex We. Free -y exenion OcenOne Roo Tour will e fer cl y 7 (:3-:) Lunch provie ferwr.

More information

Supplement: Gauss-Jordan Reduction

Supplement: Gauss-Jordan Reduction Suppleme: Guss-Jord Reducio. Coefficie mri d ugmeed mri: The coefficie mri derived from sysem of lier equios m m m m is m m m A O d he ugmeed mri derived from he ove sysem of lier equios is [ ] m m m m

More information

Problems and Solutions for Section 3.2 (3.15 through 3.25)

Problems and Solutions for Section 3.2 (3.15 through 3.25) 3-7 Problems ad Soluios for Secio 3 35 hrough 35 35 Calculae he respose of a overdamped sigle-degree-of-freedom sysem o a arbirary o-periodic exciaio Soluio: From Equaio 3: x = # F! h "! d! For a overdamped

More information

ROUTH-HURWITZ CRITERION

ROUTH-HURWITZ CRITERION Automti Cotrol Sytem, Deprtmet of Mehtroi Egieerig, Germ Jordi Uiverity Routh-Hurwitz Criterio ite.google.om/ite/ziydmoud 7 ROUTH-HURWITZ CRITERION The Routh-Hurwitz riterio i lytil proedure for determiig

More information

Review - Week 10. There are two types of errors one can make when performing significance tests:

Review - Week 10. There are two types of errors one can make when performing significance tests: Review - Week Read: Chaper -3 Review: There are wo ype of error oe ca make whe performig igificace e: Type I error The ull hypohei i rue, bu we miakely rejec i (Fale poiive) Type II error The ull hypohei

More information

ELECTRONICS & COMMUNICATIONS DEP. 3rd YEAR, 2010/2011 CONTROL ENGINEERING. SHEET 2 Bode Plot

ELECTRONICS & COMMUNICATIONS DEP. 3rd YEAR, 2010/2011 CONTROL ENGINEERING. SHEET 2 Bode Plot CAIRO UNIVERITY FACULTY OF ENGINEERING ELECTRONIC & COMMUNICATION DEP. 3rd YEAR, 00/0 CONTROL ENGINEERING HEET Bode Plot [] Drw the symptotic Bode plots for ech of the followig trsfer fuctios: ) ( 0.5

More information

Chapter 5: The pn Junction

Chapter 5: The pn Junction Cher 5: The ucio Noequilibrium ecess crriers i semicoducors Crrier geerio d recombiio Mhemicl lysis of ecess crriers Ambiolr rsor The jucio Bsic srucure of he jucio Zero lied bis Reverse lied bis No-uiformly

More information

Economics 8723 Macroeconomic Theory Problem Set 3 Sketch of Solutions Professor Sanjay Chugh Spring 2017

Economics 8723 Macroeconomic Theory Problem Set 3 Sketch of Solutions Professor Sanjay Chugh Spring 2017 Deparme of Ecoomic The Ohio Sae Uiveriy Ecoomic 8723 Macroecoomic Theory Problem Se 3 Skech of Soluio Profeor Sajay Chugh Sprig 27 Taylor Saggered Nomial Price-Seig Model There are wo group of moopoliically-compeiive

More information

xp (X = x) = P (X = 1) = θ. Hence, the method of moments estimator of θ is

xp (X = x) = P (X = 1) = θ. Hence, the method of moments estimator of θ is Exercise 7 / page 356 Noe ha X i are ii from Beroulli(θ where 0 θ a Meho of momes: Sice here is oly oe parameer o be esimae we ee oly oe equaio where we equae he rs sample mome wih he rs populaio mome,

More information

Department of Mathematical and Statistical Sciences University of Alberta

Department of Mathematical and Statistical Sciences University of Alberta MATH 4 (R) Wier 008 Iermediae Calculus I Soluios o Problem Se # Due: Friday Jauary 8, 008 Deparme of Mahemaical ad Saisical Scieces Uiversiy of Albera Quesio. [Sec.., #] Fid a formula for he geeral erm

More information

Section P.1 Notes Page 1 Section P.1 Precalculus and Trigonometry Review

Section P.1 Notes Page 1 Section P.1 Precalculus and Trigonometry Review Secion P Noe Pge Secion P Preclculu nd Trigonomer Review ALGEBRA AND PRECALCULUS Eponen Lw: Emple: 8 Emple: Emple: Emple: b b Emple: 9 EXAMPLE: Simplif: nd wrie wi poiive eponen Fir I will flip e frcion

More information

Minimum Phase Response in Digitally Controlled Boost and Flyback Converters

Minimum Phase Response in Digitally Controlled Boost and Flyback Converters Miimum Phe Repoe i Digilly Corolle Boo Flyck Coverer Vhi Youefzeh, Mriko Shirzi Drg Mkimovic Coloro Power Elecroic Ceer ECE Deprme, Uiveriy of Coloro, Bouler, CO 80309-045 {Vhi.Youefzeh, Mriko.Shirzi,

More information

Solutions to selected problems from the midterm exam Math 222 Winter 2015

Solutions to selected problems from the midterm exam Math 222 Winter 2015 Soluios o seleced problems from he miderm eam Mah Wier 5. Derive he Maclauri series for he followig fucios. (cf. Pracice Problem 4 log( + (a L( d. Soluio: We have he Maclauri series log( + + 3 3 4 4 +...,

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

Electrical Engineering Department Network Lab.

Electrical Engineering Department Network Lab. Par:- Elecrical Egieerig Deparme Nework Lab. Deermiaio of differe parameers of -por eworks ad verificaio of heir ierrelaio ships. Objecive: - To deermie Y, ad ABD parameers of sigle ad cascaded wo Por

More information

Motion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration.

Motion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration. Moion Accelerion Pr : Consn Accelerion Accelerion Accelerion Accelerion is he re of chnge of velociy. = v - vo = Δv Δ ccelerion = = v - vo chnge of velociy elpsed ime Accelerion is vecor, lhough in one-dimensionl

More information

ELEC 372 LECTURE NOTES, WEEK 4 Dr. Amir G. Aghdam Concordia University

ELEC 372 LECTURE NOTES, WEEK 4 Dr. Amir G. Aghdam Concordia University ELEC 37 LECTURE NOTES, WEE 4 Dr Amir G Aghdam Cocordia Uiverity Part of thee ote are adapted from the material i the followig referece: Moder Cotrol Sytem by Richard C Dorf ad Robert H Bihop, Pretice Hall

More information

Repeated Root and Common Root

Repeated Root and Common Root Repeted Root d Commo Root 1 (Method 1) Let α, β, γ e the roots of p(x) x + x + 0 (1) The α + β + γ 0, αβ + βγ + γα, αβγ - () (α - β) (α + β) - αβ (α + β) [ (βγ + γα)] + [(α + β) + γ (α + β)] +γ (α + β)

More information

EE757 Numerical Techniques in Electromagnetics Lecture 9

EE757 Numerical Techniques in Electromagnetics Lecture 9 EE757 uericl Techiques i Elecroeics Lecure 9 EE757 06 Dr. Mohed Bkr Diereil Equios Vs. Ierl Equios Ierl equios ke severl ors e.. b K d b K d Mos diereil equios c be epressed s ierl equios e.. b F d d /

More information

Sample Final Exam (finals03) Covering Chapters 1-9 of Fundamentals of Signals & Systems

Sample Final Exam (finals03) Covering Chapters 1-9 of Fundamentals of Signals & Systems Sample Final Exam Covering Chaper 9 (final04) Sample Final Exam (final03) Covering Chaper 9 of Fundamenal of Signal & Syem Problem (0 mar) Conider he caual opamp circui iniially a re depiced below. I LI

More information

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable

More information

CONTROL SYSTEMS. Chapter 10 : State Space Response

CONTROL SYSTEMS. Chapter 10 : State Space Response CONTROL SYSTEMS Chaper : Sae Space Repone GATE Objecive & Numerical Type Soluion Queion 5 [GATE EE 99 IIT-Bombay : Mark] Conider a econd order yem whoe ae pace repreenaion i of he form A Bu. If () (),

More information

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4) 7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic

More information

The Eigen Function of Linear Systems

The Eigen Function of Linear Systems 1/25/211 The Eige Fucio of Liear Sysems.doc 1/7 The Eige Fucio of Liear Sysems Recall ha ha we ca express (expad) a ime-limied sigal wih a weighed summaio of basis fucios: v ( ) a ψ ( ) = where v ( ) =

More information

All the Laplace Transform you will encounter has the following form: Rational function X(s)

All the Laplace Transform you will encounter has the following form: Rational function X(s) EE G Note: Chpter Itructor: Cheug Pge - - Iverio of Rtiol Fuctio All the Lplce Trform you will ecouter h the followig form: m m m m e τ 0...... Rtiol fuctio Dely Why? Rtiol fuctio come out turlly from

More information

Chapter 10: The Z-Transform Adapted from: Lecture notes from MIT, Binghamton University Dr. Hamid R. Rabiee Fall 2013

Chapter 10: The Z-Transform Adapted from: Lecture notes from MIT, Binghamton University Dr. Hamid R. Rabiee Fall 2013 Sigls & Systems Chpter 0: The Z-Trsform Adpted from: Lecture otes from MIT, Bighmto Uiversity Dr. Hmid R. Rbiee Fll 03 Lecture 5 Chpter 0 Lecture 6 Chpter 0 Outlie Itroductio to the -Trsform Properties

More information

PI3B V, 16-Bit to 32-Bit FET Mux/DeMux NanoSwitch. Features. Description. Pin Configuration. Block Diagram.

PI3B V, 16-Bit to 32-Bit FET Mux/DeMux NanoSwitch. Features. Description. Pin Configuration. Block Diagram. 33V, 6-Bi o 32-Bi FET Mux/DeMux NaoSwich Feaures -ohm Swich Coecio Bewee Two Pors Near-Zero Propagaio Delay Fas Swichig Speed: 4s (max) Ulra -Low Quiesce Power (02mA yp) Ideal for oebook applicaios Idusrial

More information

( a n ) converges or diverges.

( a n ) converges or diverges. Chpter Ifiite Series Pge of Sectio E Rtio Test Chpter : Ifiite Series By the ed of this sectio you will be ble to uderstd the proof of the rtio test test series for covergece by pplyig the rtio test pprecite

More information

Manipulations involving the signal amplitude (dependent variable).

Manipulations involving the signal amplitude (dependent variable). Oulie Maipulaio of discree ime sigals: Maipulaios ivolvig he idepede variable : Shifed i ime Operaios. Foldig, reflecio or ime reversal. Time Scalig. Maipulaios ivolvig he sigal ampliude (depede variable).

More information

e t dt e t dt = lim e t dt T (1 e T ) = 1

e t dt e t dt = lim e t dt T (1 e T ) = 1 Improper Inegrls There re wo ypes of improper inegrls - hose wih infinie limis of inegrion, nd hose wih inegrnds h pproch some poin wihin he limis of inegrion. Firs we will consider inegrls wih infinie

More information

Time-domain Aeroelastic Analysis of Bridge using a Truncated Fourier Series of the Aerodynamic Transfer Function

Time-domain Aeroelastic Analysis of Bridge using a Truncated Fourier Series of the Aerodynamic Transfer Function Te 8 Ci-Jp-ore eriol Worksop o Wid Egieerig My, 3 Time-domi Aeroelsic Alysis of ridge usig Truced Fourier Series of e Aerodymic Trsfer Fucio Jiwook Prk, Seoul iol iversiy, ore ilje Jug, iversiy of ore

More information

Duration Notes 1. To motivate this measure, observe that the duration may also be expressed as. a a T a

Duration Notes 1. To motivate this measure, observe that the duration may also be expressed as. a a T a Duio Noes Mculy defied he duio of sse i 938. 2 Le he sem of pymes cosiuig he sse be,,..., d le /( + ) deoe he discou fco. he Mculy's defiiio of he duio of he sse is 3 2 D + 2 2 +... + 2 + + + + 2... o

More information

1.3 Continuous Functions and Riemann Sums

1.3 Continuous Functions and Riemann Sums mth riem sums, prt 0 Cotiuous Fuctios d Riem Sums I Exmple we sw tht lim Lower() = lim Upper() for the fuctio!! f (x) = + x o [0, ] This is o ccidet It is exmple of the followig theorem THEOREM Let f be

More information

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE Mohia & Samaa, Vol. 1, No. II, December, 016, pp 34-49. ORIGINAL RESEARCH ARTICLE OPEN ACCESS FIED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE 1 Mohia S. *, Samaa T. K. 1 Deparme of Mahemaics, Sudhir Memorial

More information

Approach Method to Evaluate the Total Harmonic Distortion for a System Has Multiple Nonlinear Loads

Approach Method to Evaluate the Total Harmonic Distortion for a System Has Multiple Nonlinear Loads eriol Jourl of Egieerig Reserc SSN:39-689(olie,347-53(pri Volume No.4, ssue No., pp : 68-64 Nov. 5 Approc eod o Evlue e ol rmoic Disorio for Sysem s uliple Nolier Lods. A. omed Elecricl Power d cies Deprme,

More information

CHAPTER 2 Quadratic diophantine equations with two unknowns

CHAPTER 2 Quadratic diophantine equations with two unknowns CHAPTER - QUADRATIC DIOPHANTINE EQUATIONS WITH TWO UNKNOWNS 3 CHAPTER Quadraic diophaie equaio wih wo ukow Thi chaper coi of hree ecio. I ecio (A), o rivial iegral oluio of he biar quadraic diophaie equaio

More information

Calculus BC 2015 Scoring Guidelines

Calculus BC 2015 Scoring Guidelines AP Calculus BC 5 Scorig Guidelies 5 The College Board. College Board, Advaced Placeme Program, AP, AP Ceral, ad he acor logo are regisered rademarks of he College Board. AP Ceral is he official olie home

More information

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws. Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..

More information

Frequency-domain Characteristics of Discrete-time LTI Systems

Frequency-domain Characteristics of Discrete-time LTI Systems requecy-domi Chrcteristics of Discrete-time LTI Systems Prof. Siripog Potisuk LTI System descriptio Previous bsis fuctio: uit smple or DT impulse The iput sequece is represeted s lier combitio of shifted

More information

Free Flapping Vibration of Rotating Inclined Euler Beams

Free Flapping Vibration of Rotating Inclined Euler Beams World cdemy of Sciece, Egieerig d Techology 56 009 Free Flppig Vibrio of Roig Iclied Euler Bems Chih-ig Hug, We-Yi i, d Kuo-Mo Hsio bsrc mehod bsed o he power series soluio is proposed o solve he url frequecy

More information

ON BILATERAL GENERATING FUNCTIONS INVOLVING MODIFIED JACOBI POLYNOMIALS

ON BILATERAL GENERATING FUNCTIONS INVOLVING MODIFIED JACOBI POLYNOMIALS Jourl of Sciece d Ars Yer 4 No 227-6 24 ORIINAL AER ON BILATERAL ENERATIN FUNCTIONS INVOLVIN MODIFIED JACOBI OLYNOMIALS CHANDRA SEKHAR BERA Muscri received: 424; Acceed er: 3524; ublished olie: 3624 Absrc

More information

An arithmetic interpretation of generalized Li s criterion

An arithmetic interpretation of generalized Li s criterion A riheic ierpreio o geerlized Li crierio Sergey K. Sekkii Lboroire de Phyique de l Mière Vive IPSB Ecole Polyechique Fédérle de Lue BSP H 5 Lue Swizerld E-il : Serguei.Sekki@epl.ch Recely we hve eblihed

More information

EEE 303: Signals and Linear Systems

EEE 303: Signals and Linear Systems 33: Sigls d Lir Sysms Orhogoliy bw wo sigls L us pproim fucio f () by fucio () ovr irvl : f ( ) = c( ); h rror i pproimio is, () = f() c () h rgy of rror sigl ovr h irvl [, ] is, { }{ } = f () c () d =

More information

UNIT 6 Signals and Systems

UNIT 6 Signals and Systems UNIT 6 ONE MARK MCQ 6. dy dy The differeial equaio y x( ) d d + describes a sysem wih a ipu x () ad a oupu y. () The sysem, which is iiially relaxed, is excied by a ui sep ipu. The oupu y^h ca be represeed

More information

Section 8 Convolution and Deconvolution

Section 8 Convolution and Deconvolution APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:

More information

Derivation of the Metal-Semiconductor Junction Current

Derivation of the Metal-Semiconductor Junction Current .4.4. Derivio of e Mel-Seiouor uio Curre.4.4.1.Derivio of e iffuio urre We r fro e epreio for e ol urre e iegre i over e wi of e epleio regio: q( µ + D (.4.11 wi be rewrie b uig -/ uliplig bo ie of e equio

More information

Class 36. Thin-film interference. Thin Film Interference. Thin Film Interference. Thin-film interference

Class 36. Thin-film interference. Thin Film Interference. Thin Film Interference. Thin-film interference Thi Film Ierferece Thi- ierferece Ierferece ewee ligh waves is he reaso ha hi s, such as soap ules, show colorful paers. Phoo credi: Mila Zikova, via Wikipedia Thi- ierferece This is kow as hi- ierferece

More information