4 Application to the TA-40 Manipulator Introduction Description of the Manipulator

Size: px
Start display at page:

Download "4 Application to the TA-40 Manipulator Introduction Description of the Manipulator"

Transcription

1 Applitio to the TA-0 Mipultor.. Itrodutio Util ow ol the theoretil priiple ued i thi thei hve ee overed. Thi hpter over how thi theor i pplied to the TA-0 mipultor. The TA-0 i rooti mipultor ued PETROBRAS i uderwter itervetio. It i tthed to ROV (Remote Opertig Vehile) tht will te it to it worig eviromet t gret depth off-hore. The mipultor i urretl otrolled tele-opertio d it doe ot offer the repetilit or olute preiio required to perform more refied utomted t. Firt, rief deriptio of the mipultor will e give, d the more thorough deriptio of ever li d joit tht otitute the mipultor. The omil meuremet of the TA-0 will e implemeted i the Devit- Hrteerg ottio to etimte the iemti of the mipultor... Deriptio of the Mipultor The TA-0 i hdruli mipultor ple of liftig 0g t the mimum reh of 90mm. It h rottiol joit, reultig i degree of freedom. At the ed-effetor gripper i tthed. It h ee reted to operte i hotile eviromet d it i ple of worig t e depth of 000 meter. At preet it i operted mter-lve ofigurtio, where the mter i repreeted miiture mipultor, how i Figure.

2 9 Figure TA0 d the miiture root ued mter With the ireed preiio d repetilit ttied lirtio, the trjetorie of the root e developed offlie i virtul eviromet, reduig the time d ot of the proe... Kiemti of the TA-0 A iemti model of the mipultor i eer to perform the lirtio of the mipultor truture. The theoretil prt i dedued i Chpter. Figure how the mipultor d the 7 frme (oordite tem), oe t eh joit d oe t the ed effetor. The followig etio how how the Devit-Hrteerg prmeter of the TA-0 re otied.

3 Figure TA-0 d oordite tem [] 9

4 9... Joit d The eter of joit (O 0 ) i ituted t the mipultor e. The i 0 repreet the rottio i of joit. The i 0 i the ommo orml etwee the frme eter O 0 of joit d O of joit. The fied dite etwee the eter O 0 d O log the ommo orml i mm d it i repreeted i the DH-ottio. Looig i the diretio of 0, the i i rotted 90º reltive to the 0 i. Thi gle i repreeted α 90º. The dite etwee the frme eter i diretio 0 i ero, d it i repreeted d Joit d The dite etwee the frme eter, O d O, log the ommo orml i 7mm givig 7. The rottio e, d, re prllel, givig α 0º. The dite etwee O d O log i ero, givig d Joit d The dite etwee the frme eter i 88 mm givig 88. The poitio of O i outide the truture of the mipultor. The i i rotted 90º roud the i, givig α 90º. The dite etwee the repetive frme eter log i ero, givig d Joit d The frme eter O of joit i loted 77mm log the i from O, givig d 77. Sie the frme eter poitio log the ommo orml i ero, 0. The i i rotted -90º reltive to, givig α -90º.

5 9... Joit d The frme eter, O d O, re ituted t the me poitio, givig d 0, 0. The i i rotted 90º reltive to the i, givig α 90º.... Joit O i ituted 0mm log the i. Thi give d 0 d 0. Sie there i o joit loted t O, the oriettio of frme e hoe ritrril log d re prllel whe θ 0. The i i hoe o tht it oiide with the i. There i o rottio log the ommo orml givig α 0º...7. Devit-Hrteerg Prmeter Tle oti ll the Devit-Hrteerg prmeter. From thee the prmeter trformtio mtrie, Ai, e give to lulte the iemti of the mipultor uig Eq. () d (8). Li i i [mm] d i [mm] α i [ o ] θ i 0 90 θ θ θ θ θ θ Tle Devit-Hrteerg prmeter

6 9.. Clirtio of the TA-0 Thi hpter epli how the theor i hpter. i pplied to the TA-0 mipultor. I order to etimte the geerlied error, ll the redudt error hve to e elimited. Thi i doe trferrig the vlue of the redudt error uig Eq. () for i:. The redudt error ε,(i) d ε r,(i) ould the e elimited for i0:. The error ε,() ot e elimited ie it otriutio to the ed-effetor poitio i ot ped o to other joit. The error ε p, ε,, d ε r, e elimited ie the re rottiol error d do ot effet the ed-effetor poitio. Thi elimite error i totl. Further, there eit other reltio etwee the redudt error give i Eq.(7). Rerrgig thi equtio give: ε ε ε d ε *,() εp,() εp,() d *,(),(),() (7) Thi me tht ε,, d ε, e elimited from the model, levig ol error to etimte. The redued idetifitio joi (G e ) h ol elemet. The mtri GG i the ivertile. Sutitutig J t with G e i Eq.() T e give olutio to the equtio. e Elimitig ε, d oitig it with the trltiol error me tht the oriettio error of the ed-effetor ot e etimted idepedetl. Neither the oriettio of li. However, the etimted oriettio of li will hve fied i to the true oriettio for ll ofigurtio of the joit. Thi me tht mer o li will e le to detet the poe differee etwee two view.

7 9.. Ivere Kiemti The ivere iemti i thi hpter w deduted i []. It i preeted i thi thei due to the importe for utomtio purpoe. It i impoile to develop geerl method to etimte the ivere iemti for mipultor. Therefore the tep developed i thi hpter ot e pplied diretl to other mipultor. Uig the peifi propertie of the TA-0 me it poile to fid olutio. The joit,,, d re ll ituted withi ple i D pe. Their repetive frme (oordite tem) re O, O, O, O d O. A grphi iterprettio of thi ple i give i Figure. Equtio (8) give the poitio d oriettio of the ed-effetor i e oordite. T ( ) θ A A A A A A (8) 0 0 Equtio (8) e elorted to give the oordite of frme, P, reltive to frme : ( ) ( ) 0 0 P P A T A A A A A (9) Equtio () give the reltive poitio d oriettio of frme reltive to frme. The frme d hve the me poitio, meig tht the gle of joit doe ot ffet the poitio of frme. B iterprettio of Figure the followig equtio re otied: d R d A A A A P (70) 0 0 ( A ) P ( A) ( ) ( ) ( ) ( ) 0 0 R (7)

8 97 ( ) ( ) ( ) ( ) ' ' ' 0 d d P P (7) From the third lie i Eq.(7) the gle of the firt joit i otied: θ π t (7) Uig the firt two lie of Eq.(7) give: ' ' d d (7) The movemet etwee frme d frme e iterpreted mipultor with degree of freedom, ie the dite () etwee O d O i ott. Figure - A D iterprettio of the frme O, O d O. Frme O oiide with frme O []. From Eq.(7) d the D iterprettio of the geometr i Figure the followig equtio re otied: φ θ ϖ ϖ θ ϖ θ ' ).i(.. ' ) o(.. d d d (7)

9 98 Solvig the equtio for θ d θ give: ' θ t o φ ' (7) θ o t d ' (77) Hvig the gle of the firt three joit d the deired poitio of the ed-effetor, it i poile to etimte the required gle of joit d. The movemet of joit doe ot hge the poitio of the ed-effetor, ol the oriettio. The movemet etwee frme d the ed-effetor i give Eq.(78). d P AAA R d d d 0 '' 0 0 '' P ( A ) T ( A AA ) '' (78) (79) 0 ( ) R A T (80) 0 ( ) ( - ) ( - )( )- - P - ( )( - )( )( )- '' d (8) '' d '' d d All the vlue i Eq.(8) re ott ie the gle of joit to hve lred ee foud. From Eq. (8) the gle of the joit d re otied:

10 99 θ π '' '' t (8) ( ) '' t '' d θ (8) Whe the gle of the firt five joit re otied, the poitio of the ed effetor i lred determied. Joit i ol hge the poitio of the edeffetor. Therefore the gle of the ith joit i otied from the deired oriettio of the ed effetor: p p p A (8) ( ) [ ] ( ) ( ) [ ] ( ) ( ) (8) To implif the equtio, the followig vrile re itrodued: ( ) [ ] ( ) ( ) [ ] ( ) ( ) From the gle of the joit to : (8) Solvig Eq.(8) give: t θ π (87) The ivere iemti equtio oti m trigoometri term whih etil m poile olutio for deired poitio of the ed-effetor.

11 00 Equtio (7) h two olutio. Due to phil limittio, the gle of joit eed to e etwee -0º 90º. Equtio (7) d (77) tht refer to gle θ d θ repetivel hve two poile olutio eh. Kowig tht joit ol tti poitive gle elimite thi miguit, llowig ol olutio tht give poitive gle for thee joit. Equtio (8), whih give the gle of joit, etil igulrit whe the gle of joit i ero. I thi e the joit d re redudt. Joit the h to e fied i ritrr poitio. Joit i the djuted to give the deired oriettio of the ed-effetor.

12 0.. Oriettio Error of the Mipultor Aordig to the model of geerlied error, the et trltio d oriettio of the mipultor ed-effetor iludig error i give Eq.(0). Whe the mipultor truture h ee lirted, the ed effetor poitio e etimted. However, the oriettio of the ed-effetor ot e etimted urtel ie the rotr error ε, h ee elimited d trferred to the trltiol error ε,. Alo, the trltiol error ε, h ee elimited d trferred to the rotr error ε p,. Thi give the right poitio, ut the trltio error of the ed effetor i ot poile to etimte uig the redued et of error. If the mer i pled o li of the mipultor, it i the rottio error of li tht eed to e oidered. The homogeeou mtri tht derie the oriettio d poitio of the li reltive to it e futio of the gle of the joit θ[θ θ θ θ θ θ ] d the geerlied error ε i give : T ( θε, ) E A E A E A E A E A (88) Thi equtio give the tul poitio d oriettio of li give full et of geerlied error. After the lirtio of the root, ol the idepedet uet, ε i ville. Thi me tht the elimited error of ε hve to e utituted ero i the geerlied error mtrie. The devitio etwee the true d etimted oriettio d poitio the e give : 0 X 0 0 0, 0 R Y T T ( θε, ) T ( θε, ) 0 Z (89) The ture of the devitio e viulied i imultio. B firt defiig full error vetor d the etimtig the redued et of error, the effet e imulted.

13 0 o θ 0 i θ o i θ 0 θ R 0 0 i θ o θ 0 0 o θ i θ i θ 0 o θ i o θ 0 θ R R R R R R R R R The fil epreio for the reltive rottio mtri will e: (90) R o θ o θ i θ i θ i θ R i θ o θ R i θ o θ i o i θ θ θ R o θ i i i o θ θ θ θ R o θ o θ R i θ o θ i o o θ θ θ R i θ o θ R i θ R o θ o θ From Eq.(9) the reltive rottio gle e determied. (9) R θ t (9) R (,) (9) θ i R R θ t R (9) To get ide of the mgitude of the oriettio error of li there imultio w performed. The tul geerlied poitio error were hoe rdoml i the itervl /- mm d the rottiol error i the itervl /- /- π/80 rdi. 00 meuremet of the ed-effetor were imulted d the redued error vetor, ε, w etimted.

14 0 Error ε Atul ε Etimted ε ε,0 -, , ,7 0 - ε.0-7, , ,7 0 - ε.0, ε.0-7, , ,7 0 - ε r.0-7, ε p.0 -, , , ε. -, , , ε.,09 0 0, 0 0, 0 0 ε. -, ε. -, , , ε r. -, ε p.,0 0 -,0 0 -,0 0 - ε., , , ε., , , ε. -, ε. -, , , ε r. -, ε p.,70 0 -,70 0 -, ε.,09 0 0,09 0 0, ε., , , ε. -, ε., , , ε r. -, ε p., , , ε. -, , ,7 0 0 ε., , , ε., ε.,78 0 -,98 0 -, ε r., ε p. 9,00 0-9,00 0-9, ε. -, , , ε., ε., ε., ε r. -, ε p. -, ε , ε , ε. 0, , ε ε r ε p Tle Error from imultio Tle how the error tht were ued i the imultio. The differee etwee the tul ε d the etimted ε w le th 0 - for ll elemet of ε.

15 0 The tul mipultor w ot ued i thi eperimet, o the reult ol demotrte the ur of the mipultor give tht the orepetitive error of the mipultor re egletle. The mgitude of the rottio error, R w the etimted for 00 differet ofigurtio of the joit. The ofigurtio of the i joit were hoe rdoml withi the poile movemet for eh joit. The rottio d poitio error for li d the ed-effetor re the plotted. Figure how the poitio error of the ed-effetor for the differet ofigurtio. The grph how tht the poitio error i egligile for uh ig mipultor. Figure - Poitio error of ed-effetor fter lirtio

16 0 Figure 7 how the rottio error of the ed-effetor fter lirtio. It i oviou tht the rottio error of the ed-effetor i too ig to e ued e for the mer. Figure 7 - Rottio error t the ed effetor fter lirtio

17 0 Figure 8 how the poitio error of li. The poitio error i lmot ott. Thi me tht mer tht i tthed li will hve fied devitio from it etimted poitio. Thi devitio e foud through lirtio. Figure 8 - Poitio error of li fter lirtio

18 07 Figure 9 how the rottio error of li. Alo the rottio error i ott. The rottio error roud the i i lrge ompred to the other rottio error. From tle, it e ee tht the error ε. i dl etimted. Aordig to Eq.(7) thi error i oeted with the rottio error roud the i of joit, ε.. Sie the otriutio o the ed-effetor poitio from thee two error ot e ditiguihed, the rottio error roud the i i lrge whe, ε, i lrge. Figure 9 - Rottio error of li fter lirtio After etimtig ll error prmeter, the iemti model of the mipultor e ued to lirte the root e uig the viio tehique previoul deried. Eperimetl reult re preeted et.

Addendum. Addendum. Vector Review. Department of Computer Science and Engineering 1-1

Addendum. Addendum. Vector Review. Department of Computer Science and Engineering 1-1 Addedum Addedum Vetor Review Deprtmet of Computer Siee d Egieerig - Coordite Systems Right hded oordite system Addedum y z Deprtmet of Computer Siee d Egieerig - -3 Deprtmet of Computer Siee d Egieerig

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

On Fourth and Fifth Order Explicit Almost Runge Kutta Methods

On Fourth and Fifth Order Explicit Almost Runge Kutta Methods Itertiol Jourl of Sietifi d Iovtive Mthemtil Reerh (IJSIMR) Volume, Iue, Jur 6, PP 88-96 ISSN 7-7X (Prit) & ISSN 7- (Olie) www.rjourl.org O Fourth d Fifth Order Expliit Almot Ruge Kutt Method Adulrhm Ndu

More information

First assignment of MP-206

First assignment of MP-206 irt igmet of MP- er to quetio - 7- Norml tre log { : MP Priipl tree: I MP II MP III MP Priipl iretio: { I { II { III Iitill uppoe tht i tre tte eribe i the referee tem ' i the me tre tte but eribe i other

More information

Tranformations. Some slides adapted from Octavia Camps

Tranformations. Some slides adapted from Octavia Camps Trformtio Some lide dpted from Octvi Cmp A m 3 3 m m 3m m Mtrice 5K C c m ij A ij m b ij B A d B mut hve the me dimeio m 3 Mtrice p m m p B A C H @K?J H @K?J m k kj ik ij b c A d B mut hve A d B mut hve

More information

Riemann Integral Oct 31, such that

Riemann Integral Oct 31, such that Riem Itegrl Ot 31, 2007 Itegrtio of Step Futios A prtitio P of [, ] is olletio {x k } k=0 suh tht = x 0 < x 1 < < x 1 < x =. More suitly, prtitio is fiite suset of [, ] otiig d. It is helpful to thik of

More information

Area, Volume, Rotations, Newton s Method

Area, Volume, Rotations, Newton s Method Are, Volume, Rottio, Newto Method Are etwee curve d the i A ( ) d Are etwee curve d the y i A ( y) yd yc Are etwee curve A ( ) g( ) d where ( ) i the "top" d g( ) i the "ottom" yd Are etwee curve A ( y)

More information

CHAPTER 7 SYMMETRICAL COMPONENTS AND REPRESENTATION OF FAULTED NETWORKS

CHAPTER 7 SYMMETRICAL COMPONENTS AND REPRESENTATION OF FAULTED NETWORKS HAPTER 7 SMMETRAL OMPOETS AD REPRESETATO OF FAULTED ETWORKS A uled three-phe yte e reolved ito three led yte i the iuoidl tedy tte. Thi ethod of reolvig uled yte ito three led phor yte h ee propoed y.

More information

EXPONENTS AND LOGARITHMS

EXPONENTS AND LOGARITHMS 978--07-6- Mthemtis Stdrd Level for IB Diplom Eerpt EXPONENTS AND LOGARITHMS WHAT YOU NEED TO KNOW The rules of epoets: m = m+ m = m ( m ) = m m m = = () = The reltioship etwee epoets d rithms: = g where

More information

Spherical refracting surface. Here, the outgoing rays are on the opposite side of the surface from the Incoming rays.

Spherical refracting surface. Here, the outgoing rays are on the opposite side of the surface from the Incoming rays. Sphericl refrctig urfce Here, the outgoig ry re o the oppoite ide of the urfce from the Icomig ry. The oject i t P. Icomig ry PB d PV form imge t P. All prxil ry from P which trike the phericl urfce will

More information

( ) 2 3 ( ) I. Order of operations II. Scientific Notation. Simplify. Write answers in scientific notation. III.

( ) 2 3 ( ) I. Order of operations II. Scientific Notation. Simplify. Write answers in scientific notation. III. Assessmet Ceter Elemetry Alger Study Guide for the ACCUPLACER (CPT) The followig smple questios re similr to the formt d otet of questios o the Aupler Elemetry Alger test. Reviewig these smples will give

More information

Accuplacer Elementary Algebra Study Guide

Accuplacer Elementary Algebra Study Guide Testig Ceter Studet Suess Ceter Aupler Elemetry Alger Study Guide The followig smple questios re similr to the formt d otet of questios o the Aupler Elemetry Alger test. Reviewig these smples will give

More information

Project 3: Using Identities to Rewrite Expressions

Project 3: Using Identities to Rewrite Expressions MAT 5 Projet 3: Usig Idetities to Rewrite Expressios Wldis I lger, equtios tht desrie properties or ptters re ofte lled idetities. Idetities desrie expressio e repled with equl or equivlet expressio tht

More information

AP Calculus AB AP Review

AP Calculus AB AP Review AP Clulus AB Chpters. Re limit vlues from grphsleft-h Limits Right H Limits Uerst tht f() vlues eist ut tht the limit t oes ot hve to.. Be le to ietify lel isotiuities from grphs. Do t forget out the 3-step

More information

AUTOMATIC CONTROL SYSTEMS

AUTOMATIC CONTROL SYSTEMS 9 HE UO ONROL SYSES OSVE SLE RELZONS OF ONNUOUS-E LNER SYSES deuz Kzore trt: he rolem for exitee d determitio of the et of oitive ymtotilly tle reliztio of roer trfer futio of lier otiuou-time ytem i formulted

More information

Solutions to RSPL/1. log 3. When x = 1, t = 0 and when x = 3, t = log 3 = sin(log 3) 4. Given planes are 2x + y + 2z 8 = 0, i.e.

Solutions to RSPL/1. log 3. When x = 1, t = 0 and when x = 3, t = log 3 = sin(log 3) 4. Given planes are 2x + y + 2z 8 = 0, i.e. olutios to RPL/. < F < F< Applig C C + C, we get F < 5 F < F< F, $. f() *, < f( h) f( ) h Lf () lim lim lim h h " h h " h h " f( + h) f( ) h Rf () lim lim lim h h " h h " h h " Lf () Rf (). Hee, differetile

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

Lecture 4 Recursive Algorithm Analysis. Merge Sort Solving Recurrences The Master Theorem

Lecture 4 Recursive Algorithm Analysis. Merge Sort Solving Recurrences The Master Theorem Lecture 4 Recursive Algorithm Alysis Merge Sort Solvig Recurreces The Mster Theorem Merge Sort MergeSortA, left, right) { if left < right) { mid = floorleft + right) / 2); MergeSortA, left, mid); MergeSortA,

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

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

Thomas Whitham Sixth Form

Thomas Whitham Sixth Form Thoms Whithm ith Form Pure Mthemtis Uit lger Trigoometr Geometr lulus lger equees The ifiite sequee of umers U U U... U... is si to e () overget if U L fiite limit s () iverget to if U s Emple The sequee...

More information

CH 20 SOLVING FORMULAS

CH 20 SOLVING FORMULAS CH 20 SOLVING FORMULAS 179 Itrodutio S olvig equtios suh s 2 + 7 20 is oviousl the orerstoe of lger. But i siee, usiess, d omputers it is lso eessr to solve equtios tht might hve vriet of letters i them.

More information

Introduction to Matrix Algebra

Introduction to Matrix Algebra Itrodutio to Mtri Alger George H Olso, Ph D Dotorl Progrm i Edutiol Ledership Applhi Stte Uiversit Septemer Wht is mtri? Dimesios d order of mtri A p q dimesioed mtri is p (rows) q (olums) rr of umers,

More information

CH 19 SOLVING FORMULAS

CH 19 SOLVING FORMULAS 1 CH 19 SOLVING FORMULAS INTRODUCTION S olvig equtios suh s 2 + 7 20 is oviousl the orerstoe of lger. But i siee, usiess, d omputers it is lso eessr to solve equtios tht might hve vriet of letters i them.

More information

Chapter 2. LOGARITHMS

Chapter 2. LOGARITHMS Chpter. LOGARITHMS Dte: - 009 A. INTRODUCTION At the lst hpter, you hve studied bout Idies d Surds. Now you re omig to Logrithms. Logrithm is ivers of idies form. So Logrithms, Idies, d Surds hve strog

More information

Limit of a function:

Limit of a function: - Limit of fuctio: We sy tht f ( ) eists d is equl with (rel) umer L if f( ) gets s close s we wt to L if is close eough to (This defiitio c e geerlized for L y syig tht f( ) ecomes s lrge (or s lrge egtive

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

Numerical Solutions of Fredholm Integral Equations Using Bernstein Polynomials

Numerical Solutions of Fredholm Integral Equations Using Bernstein Polynomials Numericl Solutios of Fredholm Itegrl Equtios Usig erstei Polyomils A. Shiri, M. S. Islm Istitute of Nturl Scieces, Uited Itertiol Uiversity, Dhk-, gldesh Deprtmet of Mthemtics, Uiversity of Dhk, Dhk-,

More information

a f(x)dx is divergent.

a f(x)dx is divergent. Mth 250 Exm 2 review. Thursdy Mrh 5. Brig TI 30 lultor but NO NOTES. Emphsis o setios 5.5, 6., 6.2, 6.3, 3.7, 6.6, 8., 8.2, 8.3, prt of 8.4; HW- 2; Q-. Kow for trig futios tht 0.707 2/2 d 0.866 3/2. From

More information

SPH3UW Unit 7.5 Snell s Law Page 1 of Total Internal Reflection occurs when the incoming refraction angle is

SPH3UW Unit 7.5 Snell s Law Page 1 of Total Internal Reflection occurs when the incoming refraction angle is SPH3UW Uit 7.5 Sell s Lw Pge 1 of 7 Notes Physis Tool ox Refrtio is the hge i diretio of wve due to hge i its speed. This is most ommoly see whe wve psses from oe medium to other. Idex of refrtio lso lled

More information

Section 11.5 Notes Page Partial Fraction Decomposition. . You will get: +. Therefore we come to the following: x x

Section 11.5 Notes Page Partial Fraction Decomposition. . You will get: +. Therefore we come to the following: x x Setio Notes Pge Prtil Frtio Deompositio Suppose we were sked to write the followig s sigle frtio: We would eed to get ommo deomitors: You will get: Distributig o top will give you: 8 This simplifies to:

More information

Waves in dielectric media. Waveguiding: χ (r ) Wave equation in linear non-dispersive homogenous and isotropic media

Waves in dielectric media. Waveguiding: χ (r ) Wave equation in linear non-dispersive homogenous and isotropic media Wves i dieletri medi d wveguides Setio 5. I this leture, we will osider the properties of wves whose propgtio is govered by both the diffrtio d ofiemet proesses. The wveguides re result of the ble betwee

More information

MATH 104: INTRODUCTORY ANALYSIS SPRING 2009/10 PROBLEM SET 8 SOLUTIONS. and x i = a + i. i + n(n + 1)(2n + 1) + 2a. (b a)3 6n 2

MATH 104: INTRODUCTORY ANALYSIS SPRING 2009/10 PROBLEM SET 8 SOLUTIONS. and x i = a + i. i + n(n + 1)(2n + 1) + 2a. (b a)3 6n 2 MATH 104: INTRODUCTORY ANALYSIS SPRING 2009/10 PROBLEM SET 8 SOLUTIONS 6.9: Let f(x) { x 2 if x Q [, b], 0 if x (R \ Q) [, b], where > 0. Prove tht b. Solutio. Let P { x 0 < x 1 < < x b} be regulr prtitio

More information

An Investigation of Continued Fractions

An Investigation of Continued Fractions Ivetigtio o Cotiued rtio Kriti Ptto Ohio Norther Uiverity d Ohio 8 Emil: k-ptto@ou.edu dvior: Dr. dr hroeder -hroeder@ou.edu d Dr. Rihrd Dquil rdquil@mukigum.edu btrt: The tudy o otiued rtio h produed

More information

Name: A2RCC Midterm Review Unit 1: Functions and Relations Know your parent functions!

Name: A2RCC Midterm Review Unit 1: Functions and Relations Know your parent functions! Nme: ARCC Midterm Review Uit 1: Fuctios d Reltios Kow your pret fuctios! 1. The ccompyig grph shows the mout of rdio-ctivity over time. Defiitio of fuctio. Defiitio of 1-1. Which digrm represets oe-to-oe

More information

AIEEE CBSE ENG A function f from the set of natural numbers to integers defined by

AIEEE CBSE ENG A function f from the set of natural numbers to integers defined by AIEEE CBSE ENG. A futio f from the set of turl umers to itegers defied y, whe is odd f (), whe is eve is (A) oe oe ut ot oto (B) oto ut ot oe oe (C) oe oe d oto oth (D) either oe oe or oto. Let z d z e

More information

A New Three-Frequency, Geometry-Free, Technique for Ambiguity Resolution

A New Three-Frequency, Geometry-Free, Technique for Ambiguity Resolution A New Three-Frequey, Geometry-Free, Tehique or Amiguity Reolutio Rold R. Hth, NvCom Tehology, I. BIOGRAPHY Rold R. Hth w oe o the ouder o NvCom Tehology, Joh Deere Compy, d i urretly the Diretor o Nvigtio

More information

General properties of definite integrals

General properties of definite integrals Roerto s Notes o Itegrl Clculus Chpter 4: Defiite itegrls d the FTC Sectio Geerl properties of defiite itegrls Wht you eed to kow lredy: Wht defiite Riem itegrl is. Wht you c ler here: Some key properties

More information

Dynamics of Structures

Dynamics of Structures UNION Dymis of Strutures Prt Zbigiew Wójii Je Grosel Projet o-fied by Europe Uio withi Europe Soil Fud UNION Mtries Defiitio of mtri mtri is set of umbers or lgebri epressios rrged i retgulr form with

More information

National Quali cations AHEXEMPLAR PAPER ONLY

National Quali cations AHEXEMPLAR PAPER ONLY Ntiol Quli ctios AHEXEMPLAR PAPER ONLY EP/AH/0 Mthemtics Dte Not pplicble Durtio hours Totl mrks 00 Attempt ALL questios. You my use clcultor. Full credit will be give oly to solutios which coti pproprite

More information

Section 7.3, Systems of Linear Algebraic Equations; Linear Independence, Eigenvalues, Eigenvectors (the variable vector of the system) and

Section 7.3, Systems of Linear Algebraic Equations; Linear Independence, Eigenvalues, Eigenvectors (the variable vector of the system) and Sec. 7., Boyce & DiPrim, p. Sectio 7., Systems of Lier Algeric Equtios; Lier Idepedece, Eigevlues, Eigevectors I. Systems of Lier Algeric Equtios.. We c represet the system...... usig mtrices d vectors

More information

STRUNET CONCRETE DESIGN AIDS

STRUNET CONCRETE DESIGN AIDS Itrodutio to Corete Colum Deig Flow Chrt he Colum Deig Setio i Struet oti two mi prt: Chrt to develop tregth itertio digrm for give etio, d red -mde Colum Itertio Digrm, for quik deig of give olum. Corete

More information

PhysicsAndMathsTutor.com

PhysicsAndMathsTutor.com PhysicsAdMthsTutor.com PhysicsAdMthsTutor.com Jue 009 4. Give tht y rsih ( ), > 0, () fid d y d, givig your swer s simplified frctio. () Leve lk () Hece, or otherwise, fid 4 d, 4 [ ( )] givig your swer

More information

ECE 102 Engineering Computation

ECE 102 Engineering Computation ECE Egieerig Computtio Phillip Wog Mth Review Vetor Bsis Mtri Bsis System of Lier Equtios Summtio Symol is the symol for summtio. Emple: N k N... 9 k k k k k the, If e e e f e f k Vetor Bsis A vetor is

More information

Data Compression Techniques (Spring 2012) Model Solutions for Exercise 4

Data Compression Techniques (Spring 2012) Model Solutions for Exercise 4 58487 Dt Compressio Tehiques (Sprig 0) Moel Solutios for Exerise 4 If you hve y fee or orretios, plese ott jro.lo t s.helsii.fi.. Prolem: Let T = Σ = {,,, }. Eoe T usig ptive Huffm oig. Solutio: R 4 U

More information

ON n-fold FILTERS IN BL-ALGEBRAS

ON n-fold FILTERS IN BL-ALGEBRAS Jourl of Alger Numer Theor: Adves d Applitios Volume 2 Numer 29 Pges 27-42 ON -FOLD FILTERS IN BL-ALGEBRAS M. SHIRVANI-GHADIKOLAI A. MOUSSAVI A. KORDI 2 d A. AHMADI 2 Deprtmet of Mthemtis Trit Modres Uiversit

More information

8.1 Arc Length. What is the length of a curve? How can we approximate it? We could do it following the pattern we ve used before

8.1 Arc Length. What is the length of a curve? How can we approximate it? We could do it following the pattern we ve used before 8.1 Arc Legth Wht is the legth of curve? How c we pproximte it? We could do it followig the ptter we ve used efore Use sequece of icresigly short segmets to pproximte the curve: As the segmets get smller

More information

BITSAT MATHEMATICS PAPER. If log 0.0( ) log 0.( ) the elogs to the itervl (, ] () (, ] [,+ ). The poit of itersectio of the lie joiig the poits i j k d i+ j+ k with the ple through the poits i+ j k, i

More information

Mathematical Notation Math Calculus & Analytic Geometry I

Mathematical Notation Math Calculus & Analytic Geometry I Mthemticl Nottio Mth - Clculus & Alytic Geometry I Use Wor or WorPerect to recrete the ollowig ocumets. Ech rticle is worth poits shoul e emile to the istructor t jmes@richl.eu. Type your me t the top

More information

Ch. 12 Linear Bayesian Estimators

Ch. 12 Linear Bayesian Estimators h. Lier Byesi stimtors Itrodutio I hpter we sw: the MMS estimtor tkes simple form whe d re joitly Gussi it is lier d used oly the st d d order momets (mes d ovries). Without the Gussi ssumptio, the Geerl

More information

In an algebraic expression of the form (1), like terms are terms with the same power of the variables (in this case

In an algebraic expression of the form (1), like terms are terms with the same power of the variables (in this case Chpter : Algebr: A. Bckgroud lgebr: A. Like ters: I lgebric expressio of the for: () x b y c z x y o z d x... p x.. we cosider x, y, z to be vribles d, b, c, d,,, o,.. to be costts. I lgebric expressio

More information

the midpoint of the ith subinterval, and n is even for

the midpoint of the ith subinterval, and n is even for Mth4 Project I (TI 89) Nme: Riem Sums d Defiite Itegrls The re uder the grph of positive fuctio is give y the defiite itegrl of the fuctio. The defiite itegrl c e pproimted y the followig sums: Left Riem

More information

Fig. 1. I a. V ag I c. I n. V cg. Z n Z Y. I b. V bg

Fig. 1. I a. V ag I c. I n. V cg. Z n Z Y. I b. V bg ymmetricl Compoets equece impedces Although the followig focuses o lods, the results pply eqully well to lies, or lies d lods. Red these otes together with sectios.6 d.9 of text. Cosider the -coected lced

More information

The Reimann Integral is a formal limit definition of a definite integral

The Reimann Integral is a formal limit definition of a definite integral MATH 136 The Reim Itegrl The Reim Itegrl is forml limit defiitio of defiite itegrl cotiuous fuctio f. The costructio is s follows: f ( x) dx for Reim Itegrl: Prtitio [, ] ito suitervls ech hvig the equl

More information

Numerical Methods. Lecture 5. Numerical integration. dr hab. inż. Katarzyna Zakrzewska, prof. AGH. Numerical Methods lecture 5 1

Numerical Methods. Lecture 5. Numerical integration. dr hab. inż. Katarzyna Zakrzewska, prof. AGH. Numerical Methods lecture 5 1 Numeril Methods Leture 5. Numeril itegrtio dr h. iż. Ktrzy Zkrzewsk, pro. AGH Numeril Methods leture 5 Outlie Trpezoidl rule Multi-segmet trpezoidl rule Rihrdso etrpoltio Romerg's method Simpso's rule

More information

Approximate Integration

Approximate Integration Study Sheet (7.7) Approimte Itegrtio I this sectio, we will ler: How to fid pproimte vlues of defiite itegrls. There re two situtios i which it is impossile to fid the ect vlue of defiite itegrl. Situtio:

More information

Orthogonality, orthogonalization, least squares

Orthogonality, orthogonalization, least squares ier Alger for Wireless Commuictios ecture: 3 Orthogolit, orthogoliztio, lest squres Ier products d Cosies he gle etee o-zero vectors d is cosθθ he l of Cosies: + cosθ If the gle etee to vectors is π/ (90º),

More information

S(x)along the bar (shear force diagram) by cutting the bar at x and imposing force_y equilibrium.

S(x)along the bar (shear force diagram) by cutting the bar at x and imposing force_y equilibrium. mmetric leder Bems i Bedig Lodig Coditios o ech ectio () pplied -Forces & z-omets The resultts t sectio re: the bedig momet () d z re sectio smmetr es the sher force () [ for sleder bems stresses d deformtio

More information

1/16/2013. Overview. 05-Three Phase Analysis Text: Three Phase. Three-Phase Voltages. Benefits of Three-Phase Systems.

1/16/2013. Overview. 05-Three Phase Analysis Text: Three Phase. Three-Phase Voltages. Benefits of Three-Phase Systems. oltge () 1/16/21 Overview 5Three Phse Alysis Text: 2.4 2.7 ECEGR 451 Power Systems ThreePhse Soures Delt d Y Coetios ThreePhse Lods ThreePhse Power ThreePhse Alysis PerPhse Alysis Dr. Louie 2 ThreePhse

More information

CS 331 Design and Analysis of Algorithms. -- Divide and Conquer. Dr. Daisy Tang

CS 331 Design and Analysis of Algorithms. -- Divide and Conquer. Dr. Daisy Tang CS 33 Desig d Alysis of Algorithms -- Divide d Coquer Dr. Disy Tg Divide-Ad-Coquer Geerl ide: Divide problem ito subproblems of the sme id; solve subproblems usig the sme pproh, d ombie prtil solutios,

More information

Mathematical modeling of dynamic systems: Chapter 3: Mathematical modeling of dynamic systems. Linearization of nonlinear systems:

Mathematical modeling of dynamic systems: Chapter 3: Mathematical modeling of dynamic systems. Linearization of nonlinear systems: hpter : themticl modelig of dymic ytem Itructor: S. Frhdi themticl modelig of dymic ytem: Simplicity veru ccurcy: it i poible to improve the ccurcy of mthemticl model by icreig it compleity. Lier ytem:

More information

G8-11 Congruence Rules

G8-11 Congruence Rules G8-11 ogruee Rules If two polgos re ogruet, ou ple the oe o top of the other so tht the th etl. The verties tht th re lled orrespodig verties. The gles tht th re lled orrespodig gles. The sides tht th

More information

GRAPHING LINEAR EQUATIONS. Linear Equations. x l ( 3,1 ) _x-axis. Origin ( 0, 0 ) Slope = change in y change in x. Equation for l 1.

GRAPHING LINEAR EQUATIONS. Linear Equations. x l ( 3,1 ) _x-axis. Origin ( 0, 0 ) Slope = change in y change in x. Equation for l 1. GRAPHING LINEAR EQUATIONS Qudrt II Qudrt I ORDERED PAIR: The first umer i the ordered pir is the -coordite d the secod umer i the ordered pir is the y-coordite. (, ) Origi ( 0, 0 ) _-is Lier Equtios Qudrt

More information

Surds, Indices, and Logarithms Radical

Surds, Indices, and Logarithms Radical MAT 6 Surds, Idices, d Logrithms Rdicl Defiitio of the Rdicl For ll rel, y > 0, d ll itegers > 0, y if d oly if y where is the ide is the rdicl is the rdicd. Surds A umber which c be epressed s frctio

More information

UNIT #5 SEQUENCES AND SERIES COMMON CORE ALGEBRA II

UNIT #5 SEQUENCES AND SERIES COMMON CORE ALGEBRA II Awer Key Nme: Dte: UNIT # SEQUENCES AND SERIES COMMON CORE ALGEBRA II Prt I Quetio. For equece defied by f? () () 08 6 6 f d f f, which of the followig i the vlue of f f f f f f 0 6 6 08 (). I the viul

More information

G x, x E x E x E x E x. a a a a. is some matrix element. For a general single photon state. ), applying the operators.

G x, x E x E x E x E x. a a a a. is some matrix element. For a general single photon state. ), applying the operators. Topic i Qutu Optic d Qutu Ifortio TA: Yuli Mxieko Uiverity of Illioi t Urb-hpig lt updted Februry 6 Proble Set # Quetio With G x, x E x E x E x E x G pqr p q r where G pqr i oe trix eleet For geerl igle

More information

Vector Integration. Line integral: Let F ( x y,

Vector Integration. Line integral: Let F ( x y, Vetor Integrtion Thi hpter tret integrtion in vetor field. It i the mthemti tht engineer nd phiit ue to deribe fluid flow, deign underwter trnmiion ble, eplin the flow of het in tr, nd put tellite in orbit.

More information

VTU NOTES QUESTION PAPERS NEWS RESULTS FORUMS Vector Integration

VTU NOTES QUESTION PAPERS NEWS RESULTS FORUMS Vector Integration www.boopr.om VTU NOTES QUESTION PAPERS NEWS RESULTS FORUMS Vetor Integrtion Thi hpter tret integrtion in vetor field. It i the mthemti tht engineer nd phiit ue to deribe fluid flow, deign underwter trnmiion

More information

Add Maths Formulae List: Form 4 (Update 18/9/08)

Add Maths Formulae List: Form 4 (Update 18/9/08) Add Mths Formule List: Form 4 (Updte 8/9/08) 0 Fuctios Asolute Vlue Fuctio f ( ) f( ), if f( ) 0 f( ), if f( ) < 0 Iverse Fuctio If y f( ), the Rememer: Oject the vlue of Imge the vlue of y or f() f()

More information

Definition Integral. over[ ab, ] the sum of the form. 2. Definite Integral

Definition Integral. over[ ab, ] the sum of the form. 2. Definite Integral Defiite Itegrl Defiitio Itegrl. Riem Sum Let f e futio efie over the lose itervl with = < < < = e ritrr prtitio i suitervl. We lle the Riem Sum of the futio f over[, ] the sum of the form ( ξ ) S = f Δ

More information

MATH 104: INTRODUCTORY ANALYSIS SPRING 2008/09 PROBLEM SET 10 SOLUTIONS. f m. and. f m = 0. and x i = a + i. a + i. a + n 2. n(n + 1) = a(b a) +

MATH 104: INTRODUCTORY ANALYSIS SPRING 2008/09 PROBLEM SET 10 SOLUTIONS. f m. and. f m = 0. and x i = a + i. a + i. a + n 2. n(n + 1) = a(b a) + MATH 04: INTRODUCTORY ANALYSIS SPRING 008/09 PROBLEM SET 0 SOLUTIONS Throughout this problem set, B[, b] will deote the set of ll rel-vlued futios bouded o [, b], C[, b] the set of ll rel-vlued futios

More information

State space systems analysis

State space systems analysis State pace ytem aalyi Repreetatio of a ytem i tate-pace (tate-pace model of a ytem To itroduce the tate pace formalim let u tart with a eample i which the ytem i dicuio i a imple electrical circuit with

More information

Discrete Mathematics I Tutorial 12

Discrete Mathematics I Tutorial 12 Discrete Mthemtics I Tutoril Refer to Chpter 4., 4., 4.4. For ech of these sequeces fid recurrece reltio stisfied by this sequece. (The swers re ot uique becuse there re ifiitely my differet recurrece

More information

Section 6.3: Geometric Sequences

Section 6.3: Geometric Sequences 40 Chpter 6 Sectio 6.: Geometric Sequeces My jobs offer ul cost-of-livig icrese to keep slries cosistet with ifltio. Suppose, for exmple, recet college grdute fids positio s sles mger erig ul slry of $6,000.

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

4. UNBALANCED 3 FAULTS

4. UNBALANCED 3 FAULTS 4. UNBALANCED AULTS So fr: we hve tudied lned fult ut unlned fult re more ommon. Need: to nlye unlned ytem. Could: nlye three-wire ytem V n V n V n Mot ommon fult type = ingle-phe to ground i.e. write

More information

Discrete Mathematics and Probability Theory Spring 2016 Rao and Walrand Lecture 17

Discrete Mathematics and Probability Theory Spring 2016 Rao and Walrand Lecture 17 CS 70 Discrete Mthemtics d Proility Theory Sprig 206 Ro d Wlrd Lecture 7 Vrice We hve see i the previous ote tht if we toss coi times with is p, the the expected umer of heds is p. Wht this mes is tht

More information

Phys-272 Lecture 25. Geometric Optics Lenses

Phys-272 Lecture 25. Geometric Optics Lenses Phy-7 Lecture 5 Geometric Optic Lee h h Rerctio o Sphericl Surce θ β φ φ α θ + + ; θ θ θ θ i i ( )φ β α + δ φ δ β δ α + R h h h t ; t ; t R h h h φ β α ; ; R + Rerctio o Sphericl Surce R + Mgiictio θ θ

More information

Introduction to Modern Control Theory

Introduction to Modern Control Theory Itroductio to Moder Cotrol Theory MM : Itroductio to Stte-Spce Method MM : Cotrol Deig for Full Stte Feedck MM 3: Etitor Deig MM 4: Itroductio of the Referece Iput MM 5: Itegrl Cotrol d Rout Trckig //4

More information

Thomas J. Osler Mathematics Department Rowan University Glassboro NJ Introduction

Thomas J. Osler Mathematics Department Rowan University Glassboro NJ Introduction Ot 0 006 Euler s little summtio formul d speil vlues of te zet futio Toms J Osler temtis Deprtmet Row Uiversity Glssboro J 0608 Osler@rowedu Itrodutio I tis ote we preset elemetry metod of determiig vlues

More information

ME 410 MECHANICAL ENGINEERING SYSTEMS LABORATORY REGRESSION ANALYSIS

ME 410 MECHANICAL ENGINEERING SYSTEMS LABORATORY REGRESSION ANALYSIS ME 40 MECHANICAL ENGINEERING REGRESSION ANALYSIS Regreio problem deal with the relatiohip betwee the frequec ditributio of oe (depedet) variable ad aother (idepedet) variable() which i (are) held fied

More information

Module B3 3.1 Sinusoidal steady-state analysis (single-phase), a review 3.2 Three-phase analysis. Kirtley

Module B3 3.1 Sinusoidal steady-state analysis (single-phase), a review 3.2 Three-phase analysis. Kirtley Module B.1 Siusoidl stedy-stte lysis (sigle-phse), review.2 Three-phse lysis Kirtley Chpter 2: AC Voltge, Curret d Power 2.1 Soures d Power 2.2 Resistors, Idutors, d Cpitors Chpter 4: Polyphse systems

More information

Content: Essential Calculus, Early Transcendentals, James Stewart, 2007 Chapter 1: Functions and Limits., in a set B.

Content: Essential Calculus, Early Transcendentals, James Stewart, 2007 Chapter 1: Functions and Limits., in a set B. Review Sheet: Chpter Cotet: Essetil Clculus, Erly Trscedetls, Jmes Stewrt, 007 Chpter : Fuctios d Limits Cocepts, Defiitios, Lws, Theorems: A fuctio, f, is rule tht ssigs to ech elemet i set A ectly oe

More information

Chap.4 Ray Theory. The Ray theory equations. Plane wave of homogeneous medium

Chap.4 Ray Theory. The Ray theory equations. Plane wave of homogeneous medium The Ra theor equatio Plae wave of homogeeou medium Chap.4 Ra Theor A plae wave ha the dititive propert that it tregth ad diretio of propagatio do ot var a it propagate through a homogeeou medium p vae

More information

Electromechanical model of manipulator robot

Electromechanical model of manipulator robot 8 th Itertiol Smoium Toicl Problem i the Field of Electricl d Power Egieerig Päru, Etoi, Jur -, Electromechicl model of miultor robot Trrki S.., Krilikt E.., rtem rkov., Ivovo Stte Power Uiverit rtem.vrkov@gmil.com

More information

Week 13 Notes: 1) Riemann Sum. Aim: Compute Area Under a Graph. Suppose we want to find out the area of a graph, like the one on the right:

Week 13 Notes: 1) Riemann Sum. Aim: Compute Area Under a Graph. Suppose we want to find out the area of a graph, like the one on the right: Week 1 Notes: 1) Riem Sum Aim: Compute Are Uder Grph Suppose we wt to fid out the re of grph, like the oe o the right: We wt to kow the re of the red re. Here re some wys to pproximte the re: We cut the

More information

u t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall

u t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall Oct. Heat Equatio M aximum priciple I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace

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

Crushed Notes on MATH132: Calculus

Crushed Notes on MATH132: Calculus Mth 13, Fll 011 Siyg Yg s Outlie Crushed Notes o MATH13: Clculus The otes elow re crushed d my ot e ect This is oly my ow cocise overview of the clss mterils The otes I put elow should ot e used to justify

More information

=> PARALLEL INTERCONNECTION. Basic Properties LTI Systems. The Commutative Property. Convolution. The Commutative Property. The Distributive Property

=> PARALLEL INTERCONNECTION. Basic Properties LTI Systems. The Commutative Property. Convolution. The Commutative Property. The Distributive Property Lier Time-Ivrit Bsic Properties LTI The Commuttive Property The Distributive Property The Associtive Property Ti -6.4 / Chpter Covolutio y ] x ] ] x ]* ] x ] ] y] y ( t ) + x( τ ) h( t τ ) dτ x( t) * h(

More information

A Complete Solution to The Problem of Differentiation and Integration of Real Orders for the Gaussian Hypergeometric Function

A Complete Solution to The Problem of Differentiation and Integration of Real Orders for the Gaussian Hypergeometric Function Jourl of Mtheti d Syte Siee 5 (5) 59-55 doi:.765/59-59/5.. D DAVID PUBLISING A Colete Solutio to The Proble of Differetitio d Itegrtio of Rel Order for the Gui Mhei M. Beghorbl Motrel QC Cd. Reeived: Aril

More information

y udv uv y v du 7.1 INTEGRATION BY PARTS

y udv uv y v du 7.1 INTEGRATION BY PARTS 7. INTEGRATION BY PARTS Ever differetitio rule hs correspodig itegrtio rule. For istce, the Substitutio Rule for itegrtio correspods to the Chi Rule for differetitio. The rule tht correspods to the Product

More information

UNIT V: Z-TRANSFORMS AND DIFFERENCE EQUATIONS. Dr. V. Valliammal Department of Applied Mathematics Sri Venkateswara College of Engineering

UNIT V: Z-TRANSFORMS AND DIFFERENCE EQUATIONS. Dr. V. Valliammal Department of Applied Mathematics Sri Venkateswara College of Engineering UNIT V: -TRANSFORMS AND DIFFERENCE EQUATIONS D. V. Vllimml Deptmet of Applied Mthemtics Si Vektesw College of Egieeig TOPICS:. -Tsfoms Elemet popeties.. Ivese -Tsfom usig ptil fctios d esidues. Covolutio

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

MASSACHUSETTS INSTITUTE of TECHNOLOGY Department of Mechanical Engineering 2.71/ OPTICS - - Spring Term, 2014

MASSACHUSETTS INSTITUTE of TECHNOLOGY Department of Mechanical Engineering 2.71/ OPTICS - - Spring Term, 2014 .7/.70 Optic, Spri 04, Solutio for Quiz MASSACHUSETTS INSTITUTE of TECHNOLOGY Deprtmet of Mechicl Eieeri.7/.70 OPTICS - - Spri Term, 04 Solutio for Quiz Iued Wed. 03//04 Problem. The ive opticl ytem i

More information

Section 2.2. Matrix Multiplication

Section 2.2. Matrix Multiplication Mtri Alger Mtri Multiplitio Setio.. Mtri Multiplitio Mtri multiplitio is little more omplite th mtri itio or slr multiplitio. If A is the prout A of A is the ompute s follow: m mtri, the is k mtri, 9 m

More information

FREE Download Study Package from website: &

FREE Download Study Package from website:  & FREE Dolod Study Pkge from esite:.tekolsses.om &.MthsBySuhg.om Get Solutio of These Pkges & Ler y Video Tutorils o.mthsbysuhg.om SHORT REVISION. Defiitio : Retgulr rry of m umers. Ulike determits it hs

More information

INFINITE SERIES. ,... having infinite number of terms is called infinite sequence and its indicated sum, i.e., a 1

INFINITE SERIES. ,... having infinite number of terms is called infinite sequence and its indicated sum, i.e., a 1 Appedix A.. Itroductio As discussed i the Chpter 9 o Sequeces d Series, sequece,,...,,... hvig ifiite umber of terms is clled ifiite sequece d its idicted sum, i.e., + + +... + +... is clled ifite series

More information

Introduction of Fourier Series to First Year Undergraduate Engineering Students

Introduction of Fourier Series to First Year Undergraduate Engineering Students Itertiol Jourl of Adved Reserh i Computer Egieerig & Tehology (IJARCET) Volume 3 Issue 4, April 4 Itrodutio of Fourier Series to First Yer Udergrdute Egieerig Studets Pwr Tejkumr Dtttry, Hiremth Suresh

More information

Pre-Calculus - Chapter 3 Sections Notes

Pre-Calculus - Chapter 3 Sections Notes Pre-Clculus - Chpter 3 Sectios 3.1-3.4- Notes Properties o Epoets (Review) 1. ( )( ) = + 2. ( ) =, (c) = 3. 0 = 1 4. - = 1/( ) 5. 6. c Epoetil Fuctios (Sectio 3.1) Deiitio o Epoetil Fuctios The uctio deied

More information