Chapter 2: Rigid Body Motions and Homogeneous Transforms
|
|
- Steven Murphy
- 6 years ago
- Views:
Transcription
1 Chater : igi Bo Motion an Homogeneou Tranform (original lie b Stee from Harar) ereenting oition Definition: oorinate frame Aetn n of orthonormal bai etor anning n For eamle When rereenting a oint we nee to eif a oorinate frame With reet to o : With reet to o : i j 5 6 an are inariant geometri entitie But the rereentation i eenant uon hoie of oorinate frame
2 D rotation ereenting one oorinate frame in term of another otation ereenting one oorinate frame in term of another Where the unit etor are efine a: [ ] o in in o o in Thi i a rotation matri in o otation matrie a rojetion Projeting the ae of from o onto the ae of frame o Alternate aroah Projeting the ae of from o onto the ae of frame o π π o o o o
3 3 Proertie of rotation matrie Inere rotation: Or another interretation ue o/een roertie: Proertie of rotation matrie Inere of a rotation matri: ( ) ( ) T in o in o o o o o π π The eterminant of a rotation matri i alwa ± if we onl ue right-hane onention ( ) ( ) o in et o in
4 4 Proertie of rotation matrie Summar: Column (row) of are mutuall orthogonal Column (row) of are mutuall orthogonal Eah olumn (row) of i a unit etor The et of all n n matrie that hae thee roertie are alle the Seial Orthogonal grou of orer n et( ) T ( ) SO n ( ) SO n 3D rotation General 3D rotation: ( ) 3 SO Seial ae Bai rotation matrie o in o in in o o in in o o in in o
5 Proertie of rotation matrie (ont ) SO(3) i a grou uner multiliation. Cloure: if SO ( 3 ) SO ( 3 ). Ientit: I SO( 3) 3. Inere: T 4. Aoiatiit: ( ) 3 ( 3 ) Allow u to ombine rotation: a abb In general member of SO(3) o not ommute otational tranformation Now aume i a fie oint on the rigi objet with fie oorinate frame o The oint an be rereente in the frame o ( ) again b the rojetion onto the bae frame u w ( u w ) ( u w ) ( ) u w u w u w u w 5
6 otating an Objet otating a etor Another interretation of a rotation matri: otating a etor about an ai in a fie frame E: rotate about b π/ 6
7 otation matri ummar Three interretation for the role of rotation matri: ereenting the oorinate of a oint in two ifferent frame. ereenting the oorinate of a oint in two ifferent frame. Orientation of a tranforme oorinate frame with reet to a fie frame 3. otating etor in the ame oorinate frame 7
8 Similarit tranform All oorinate frame are efine b a et of bai etor Thee an n E: the unit etor i j In linear algebra a n n matri A i a maing from n to n A where i the image of uner the tranformation A Thin of a a linear ombination of unit etor (bai etor) for eamle the unit etor: e [... T ]... e [... ] T n If we want to rereent etor with reet to a ifferent bai e.g.: f f n the tranformation A an be rereente b: A T AT Where the olumn of T are the etor f f n A i alle the imilarit tranformation. Similarit tranform otation matrie are alo a hange of bai If A i a linear tranformation in o an B i a linear tranformation in o then the are relate a follow: E: the frame o an o are relate a follow: B ( ) A 8
9 w/ reet to the urrent frame E: three frame o o o Comoition of rotation Thi efine the omoition law for ueie rotation about the urrent referene frame: ot-multiliation Comoition of rotation E: rereent rotation about the urrent -ai b followe b about the urrent -ai o in in o in o in o o o in o in o in o in in in o What about the reere orer? 9
10 Comoition of rotation w/ reet to a fie referene frame (o ) Let the rotation between two frame o an o be efine b Let the rotation between two frame o an o be efine b Let be a eire rotation w/ reet to the fie frame o Uing the efinition of a imilarit tranform we hae: [( ) ] Thi efine the omoition law for ueie rotation about a fie referene frame: re-multiliation Comoition of rotation E: we want a rotation matri that i a omoition of about ( ) an then about ( ) the eon rotation nee to be rojete ba to the initial fie frame ( ) Now the ombination of the two rotation i: [ ]
11 Comoition of rotation Summar: Coneutie rotation w/ reet to the urrent referene frame: Pot-multiling b ueie rotation matrie w/ reet to a fie referene frame (o ) Pre-multiling b ueie rotation matrie We an alo hae hbri omoition of rotation with reet to the urrent an a fie frame uing thee ame rule Parameteriing rotation There are three arameter that nee to be eifie to reate arbitrar rigi bo rotation We will eribe three uh arameteriation:. Euler angle. oll Pith Yaw angle 3. Ai/Angle
12 Parameteriing rotation Euler angle otation b about the -ai followe b about the urrent -ai then b t th t i about the urrent -ai ZYZ Parameteriing rotation oll Pith Yaw angle Three oneutie rotation about the fie rinial ae: Three oneutie rotation about the fie rinial ae: Yaw ( ) ith ( ) roll ( ) XYZ
13 3 Parameteriing rotation Ai/Angle rereentation An rotation matri in SO(3) an be rereente a a ingle rotation about a An rotation matri in SO(3) an be rereente a a ingle rotation about a uitable ai through a et angle For eamle aume that we hae a unit etor: Gien we want to erie : Intermeiate te: rojet the -ai onto : Where the rotation i gien b: Parameteriing rotation Ai/Angle rereentation Thi i gien b: Thi i gien b: Inere roblem: Gien arbitrar fin an
14 4 igi motion igi motion i a ombination of rotation an tranlation g Define b a rotation matri () an a ilaement etor () the grou of all rigi motion () i nown a the Seial Euliean grou SE(3) Conier three frame o o an o an orreoning rotation matrie an ( ) 3 3 SO ( ) ( ) 3 SO 3 SE n Let be the etor from the origin o to o from o to o For a oint attahe to o we an rereent thi etor in frame o an o : ( ) Homogeneou tranform We an rereent rigi motion (rotation an tranlation) a matri g ( ) multiliation Define: Now the oint an be rereente in frame o : Where the P an P are: H H P H P H Where the P an P are: P P
15 Eamle Fin the homogeneou tranformation matri (T) for the following oeration: otation about OX ai Tranlation of a along OX ai Tranlation of along OZ ai otation of about OZ ai Anwer : T T T T T I a 4 4 Homogeneou Tranformation Comoite Homogeneou Tranformation Matri A A i A i? Tranformation matri for ajaent oorinate frame A A A Chain rout of ueie oorinate tranformation matrie 5
16 b Eamle 8 For the figure hown below fin the 44 homogeneou tranformation i matrie A i an A i for i n a n a e F A 3 3 n a a e a 4 4 Can ou fin the anwer b oberation bae on the geometri interretation of homogeneou tranformation matri? Homogeneou tranform The matri multiliation H i nown a a homogeneou tranform an we note that H SE( 3) Inere tranform: T T H 6
17 7 Homogeneou tranform Bai tranform: Three ure tranlation three ure rotation b a b a Tran Tran ot ot Tran γ γ γ γ γ ot
Inverting: Representing rotations and translations between coordinate frames of reference. z B. x B x. y B. v = [ x y z ] v = R v B A. y B.
Kinematics Kinematics: Given the joint angles, comute the han osition = Λ( q) Inverse kinematics: Given the han osition, comute the joint angles to attain that osition q = Λ 1 ( ) s usual, inverse roblems
More informationRigid Body Transforms-3D. J.C. Dill transforms3d 27Jan99
ESC 489 3D ransforms 1 igid Bod ransforms-3d J.C. Dill transforms3d 27Jan99 hese notes on (2D and) 3D rigid bod transform are currentl in hand-done notes which are being converted to this file from that
More informationEGN 3353C Fluid Mechanics
eture 5 Bukingham PI Theorem Reall dynami imilarity beteen a model and a rototye require that all dimenionle variable mut math. Ho do e determine the '? Ue the method of reeating variable 6 te Ste : Parameter
More informationEinstein's Energy Formula Must Be Revised
Eintein' Energy Formula Mut Be Reied Le Van Cuong uong_le_an@yahoo.om Information from a iene journal how that the dilation of time in Eintein peial relatie theory wa proen by the experiment of ientit
More informationAnalysis of Feedback Control Systems
Colorado Shool of Mine CHEN403 Feedbak Control Sytem Analyi of Feedbak Control Sytem ntrodution to Feedbak Control Sytem 1 Cloed oo Reone 3 Breaking Aart the Problem to Calulate the Overall Tranfer Funtion
More informationThe numbers inside a matrix are called the elements or entries of the matrix.
Chapter Review of Matries. Definitions A matrix is a retangular array of numers of the form a a a 3 a n a a a 3 a n a 3 a 3 a 33 a 3n..... a m a m a m3 a mn We usually use apital letters (for example,
More informationConstrained Single Period Stochastic Uniform Inventory Model With Continuous Distributions of Demand and Varying Holding Cost
Journal of Matemati and Statiti (1): 334-338, 6 ISSN 1549-3644 6 Siene Publiation Contrained Single Period Stoati Uniform Inventory Model Wit Continuou Ditribution of Demand and Varying Holding Cot 1 Hala,
More informationPlanar Transformations and Displacements
Chater Planar Transformations and Dislacements Kinematics is concerned with the roerties of the motion of oints. These oints are on objects in the environment or on a robot maniulator. Two features that
More informationChapter 3- Answers to selected exercises
Chater 3- Anwer to elected exercie. he chemical otential of a imle uid of a ingle comonent i gien by the exreion o ( ) + k B ln o ( ) ; where i the temerature, i the reure, k B i the Boltzmann contant,
More informationToday. CS-184: Computer Graphics. Introduction. Some Examples. 2D Transformations
Toda CS-184: Comuter Grahics Lecture #3: 2D Transformations Prof. James O Brien Universit of California, Berkele V2005F-03-1.0 2D Transformations Primitive Oerations Scale, Rotate, Shear, Fli, Translate
More informationName: Solutions Exam 2
Intruction. Anwer each of the quetion on your own paper. Put your name on each page of your paper. Be ure to how your work o that partial credit can be adequately aeed. Credit will not be given for anwer
More informationτ = 10 seconds . In a non-relativistic N 1 = N The muon survival is given by the law of radioactive decay N(t)=N exp /.
Muons on the moon Time ilation using ot prouts Time ilation using Lorentz boosts Cheking the etor formula Relatiisti aition of eloities Why you an t eee the spee of light by suessie boosts Doppler shifts
More informationLinear and Angular Velocities 2/4. Instructor: Jacob Rosen Advanced Robotic - MAE 263D - Department of Mechanical & Aerospace Engineering - UCLA
Linear and ngular elocities 2/4 Instructor: Jacob osen dvanced obotic - ME 263D - Department of Mechanical & erospace Engineering - UL Jacobian Matri - alculation Methods Differentiation the Forward Kinematics
More informationCHAPTER 4 COMPARISON OF PUSH-OUT TEST RESULTS WITH EXISTING STRENGTH PREDICTION METHODS
CHAPTER 4 COMPARISON OF PUSH-OUT TEST RESULTS WITH EXISTING STRENGTH PREDICTION METHODS 4.1 General Several tud trength rediction method have been develoed ince the 1970. Three o thee method are art o
More informationColorado School of Mines. Computer Vision. Professor William Hoff Dept of Electrical Engineering &Computer Science.
Proeor William Ho Dept o Electrical Engineering &Computer Science http://inide.mine.edu/~who/ Uncertaint Uncertaint Let a that we have computed a reult (uch a poe o an object), rom image data How do we
More informationName: Solutions Exam 3
Intruction. Anwer each of the quetion on your own paper. Put your name on each page of your paper. Be ure to how your work o that partial credit can be adequately aeed. Credit will not be given for anwer
More informationHistory of the Atomic Model. The Modern Model of the Atom. History of the Atomic Model. History of the Atomic Model. Bohr s Quantum Numbers
The Moern Moel of the Atom Democritu (4 B.C.) Believe that matter wa comoe of inviible article of matter he calle atom. Antoine Lavoiier (7 ) Law of Conervation of Ma Matter i not create or etroye. Joeh
More informationChapter 3 : Transfer Functions Block Diagrams Signal Flow Graphs
Chapter 3 : Tranfer Function Block Diagram Signal Flow Graph 3.. Tranfer Function 3.. Block Diagram of Control Sytem 3.3. Signal Flow Graph 3.4. Maon Gain Formula 3.5. Example 3.6. Block Diagram to Signal
More informationMidterm 3 Review Solutions by CC
Midterm Review Solution by CC Problem Set u (but do not evaluate) the iterated integral to rereent each of the following. (a) The volume of the olid encloed by the arabaloid z x + y and the lane z, x :
More informationV V The circumflex (^) tells us this is a unit vector
Vector 1 Vector have Direction and Magnitude Mike ailey mjb@c.oregontate.edu Magnitude: V V V V x y z vector.pptx Vector Can lo e Defined a the oitional Difference etween Two oint 3 Unit Vector have a
More informationTwo conventions for coordinate systems. Left-Hand vs Right-Hand. x z. Which is which?
walters@buffalo.edu CSE 480/580 Lecture 2 Slide 3-D Transformations 3-D space Two conventions for coordinate sstems Left-Hand vs Right-Hand (Thumb is the ais, inde is the ais) Which is which? Most graphics
More informationChapter 2 Homework Solution P2.2-1, 2, 5 P2.4-1, 3, 5, 6, 7 P2.5-1, 3, 5 P2.6-2, 5 P2.7-1, 4 P2.8-1 P2.9-1
Chapter Homework Solution P.-1,, 5 P.4-1, 3, 5, 6, 7 P.5-1, 3, 5 P.6-, 5 P.7-1, 4 P.8-1 P.9-1 P.-1 An element ha oltage and current i a hown in Figure P.-1a. Value of the current i and correponding oltage
More informationSome Useful Results for Spherical and General Displacements
E 5 Fall 997 V. Kumar Some Useful Results for Spherial an General Displaements. Spherial Displaements.. Eulers heorem We have seen that a spherial isplaement or a pure rotation is esribe by a 3 3 rotation
More informationPretest (Optional) Use as an additional pacing tool to guide instruction. August 21
Trimester 1 Pretest (Otional) Use as an additional acing tool to guide instruction. August 21 Beyond the Basic Facts In Trimester 1, Grade 8 focus on multilication. Daily Unit 1: Rational vs. Irrational
More informationEXERCISES FOR SECTION 6.3
y 6. Secon-Orer Equation 499.58 4 t EXERCISES FOR SECTION 6.. We ue integration by part twice to compute Lin ωt Firt, letting u in ωt an v e t t,weget Lin ωt in ωt e t e t lim b in ωt e t t. in ωt ω e
More informationFigure 1 Siemens PSSE Web Site
Stability Analyi of Dynamic Sytem. In the lat few lecture we have een how mall ignal Lalace domain model may be contructed of the dynamic erformance of ower ytem. The tability of uch ytem i a matter of
More informationIntegrated Inventory Model With Fuzzy Order Quantity And Fuzzy Shortage Quantity
Proceeing of the nternational MultiConference of ngineer Comuter Scientit 9 Vol MCS 9 Mah 8-9 Hong Kong ntegrate nventory Moel With Fuy Orer Quantity An Fuy Shortage Quantity Mona Ahmai Ra Fari Khohalhan
More informationMultidisciplinary System Design Optimization (MSDO)
Multiiscilinary System Design Otimization (MSDO) Graient Calculation an Sensitivity Analysis Lecture 9 Olivier e Weck Karen Willco Massachusetts Institute of Technology - Prof. e Weck an Prof. Willco Toay
More information3. THE SOLUTION OF TRANSFORMATION PARAMETERS
Deartment of Geosatial Siene. HE SOLUION OF RANSFORMAION PARAMEERS Coordinate transformations, as used in ratie, are models desribing the assumed mathematial relationshis between oints in two retangular
More informationAdministration, Department of Statistics and Econometrics, Sofia, 1113, bul. Tzarigradsko shose 125, bl.3, Bulgaria,
Adanced Studie in Contemorary Mathematic, (006), No, 47-54 DISTRIBUTIONS OF JOINT SAMPLE CORRELATION COEFFICIENTS OF INDEPEENDENT NORMALLY DISTRIBUTED RANDOM VARIABLES Eelina I Velea, Tzetan G Ignato Roue
More information1 HOMOGENEOUS TRANSFORMATIONS
HOMOGENEOUS TRANSFORMATIONS Purpose: The purpose of this chapter is to introduce ou to the Homogeneous Transformation. This simple 4 4 transformation is used in the geometr engines of CAD sstems and in
More informationThermochemistry and Calorimetry
WHY? ACTIVITY 06-1 Thermohemitry and Calorimetry Chemial reation releae or tore energy, uually in the form of thermal energy. Thermal energy i the kineti energy of motion of the atom and moleule ompriing
More informationLECTURE 8: ELECTRON-POSITRON ANNIHILATION
LETURE 8: ELETRON-POSITRON NNIHILTION Ste I/II: The Feynman Diagram and rule e + 2 q 3 µ - (2 ) 4 d 4 q ū(3) ig e v(2) ig e µ v(4) u() ig µ q 2 (2 ) 4 4 (q 3 4 ) (2 ) 4 4 ( + 2 q) 4 e - µ + [ū(3) µ v(4)]
More informationÜbung zu Globale Geophysik I 05 Answers
Übung zu Globale Geohyik I 05 Anwer Übung zu Globale Geohyik I: Wedneday, 6:00 8:00, Thereientr. 4, Room C49 Lecturer: Heather McCreadie Comanion cla to Globale Geohyik I: Monday, :00 4:00, Thereientr.
More informationLecture 1b. Differential operators and orthogonal coordinates. Partial derivatives. Divergence and divergence theorem. Gradient. A y. + A y y dy. 1b.
b. Partial erivatives Lecture b Differential operators an orthogonal coorinates Recall from our calculus courses that the erivative of a function can be efine as f ()=lim 0 or using the central ifference
More informationAn Application of Fuzzy Soft Set in Multicriteria Decision Making Problem
Interntion Journ of Comuter Aition (0975 8887) Voume 8 No, Jnury 0 An Aition of Fuzzy Soft Set in Mutiriteri Deiion Mking Probem P K D Dertment of Mthemti NERIST Nirjui, Arunh Preh R Borgohin Dertment
More informationPosition. If the particle is at point (x, y, z) on the curved path s shown in Fig a,then its location is defined by the position vector
34 C HAPTER 1 KINEMATICS OF A PARTICLE 1 1.5 Curvilinear Motion: Rectangular Component Occaionall the motion of a particle can bet be decribed along a path that can be epreed in term of it,, coordinate.
More informationME 375 EXAM #1 Tuesday February 21, 2006
ME 375 EXAM #1 Tueday February 1, 006 Diviion Adam 11:30 / Savran :30 (circle one) Name Intruction (1) Thi i a cloed book examination, but you are allowed one 8.5x11 crib heet. () You have one hour to
More informationNet Force on a Body Completely in a Fluid. Natural Convection Heat Transfer. Net Buoyancy Force and Temperature
Natral Conection eat ranfer Net Force on a Bo Comletel in a Fli he net force alie to a bo comletel bmere in a fli i Bo F W F net bo bo boanc V bo fli fli V V bo bo W F boanc Fli q he bo can be a blk of
More informationLecture #5: Introduction to Continuum Mechanics Three-dimensional Rate-independent Plasticity. by Dirk Mohr
Lecture #5: 5-0735: Dynamic behavior of material and tructure Introduction to Continuum Mechanic Three-dimenional Rate-indeendent Platicity by Dirk Mohr ETH Zurich, Deartment of Mechanical and Proce Engineering,
More informationGeometric Transformations. Ceng 477 Introduction to Computer Graphics Fall 2007 Computer Engineering METU
Geometric ranormation Ceng 477 Introdction to Compter Graphic Fall 7 Compter Engineering MEU D Geometric ranormation Baic Geometric ranormation Geometric tranormation are ed to tranorm the object and the
More informationSoftware Verification
BS-5950-90 Examle-001 STEEL DESIGNES MANUAL SIXTH EDITION - DESIGN OF SIMPLY SUPPOTED COMPOSITE BEAM EXAMPLE DESCIPTION Deign a omoite floor ith beam at 3-m enter anning 12 m. The omoite lab i 130 mm dee.
More informationNONLINEAR MODEL: CELL FORMATION
ational Institute of Tehnology Caliut Deartment of Mehanial Engineering OLIEAR MODEL: CELL FORMATIO System Requirements and Symbols 0-Integer Programming Formulation α i - umber of interell transfers due
More informationIf Y is normally Distributed, then and 2 Y Y 10. σ σ
ull Hypothei Significance Teting V. APS 50 Lecture ote. B. Dudek. ot for General Ditribution. Cla Member Uage Only. Chi-Square and F-Ditribution, and Diperion Tet Recall from Chapter 4 material on: ( )
More informationTo determine the biasing conditions needed to obtain a specific gain each stage must be considered.
PHYSIS 56 Experiment 9: ommon Emitter Amplifier A. Introdution A ommon-emitter oltage amplifier will be tudied in thi experiment. You will inetigate the fator that ontrol the midfrequeny gain and the low-and
More informationCh. 3: Inverse Kinematics Ch. 4: Velocity Kinematics. The Interventional Centre
Ch. : Invee Kinemati Ch. : Velity Kinemati The Inteventinal Cente eap: kinemati eupling Apppiate f ytem that have an am a wit Suh that the wit jint ae ae aligne at a pint F uh ytem, we an plit the invee
More informationCh. 6 Single Variable Control ES159/259
Ch. 6 Single Variable Control Single variable control How o we eterine the otor/actuator inut o a to coan the en effector in a eire otion? In general, the inut voltage/current oe not create intantaneou
More information3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes
Fin these erivatives of these functions: y.7 Implicit Differentiation -- A Brief Introuction -- Stuent Notes tan y sin tan = sin y e = e = Write the inverses of these functions: y tan y sin How woul we
More informationName: Solutions Exam 2
Name: Solution Exam Intruction. Anwer each of the quetion on your own paper. Put your name on each page of your paper. Be ure to how your work o that partial credit can be adequately aeed. Credit will
More informationAli Karimpour Associate Professor Ferdowsi University of Mashhad
LINEAR CONTROL SYSTEMS Ali Karimour Aoiate Profeor Ferdowi Univerity of Mahhad Leture 0 Leture 0 Frequeny domain hart Toi to be overed inlude: Relative tability meaure for minimum hae ytem. ain margin.
More informationGraphics Rendering Pipeline
Graphic Rendering ipeline Model Modeling Tranformation M Viewing Tranformation Model 2 M 2 3DWorld Scene V 3D View Scene Model n M n 2D Image Raterization 2D Scene rojection Scaling S. ], [ ], [ ;, (,
More informationCondensed Matter Physics 2016 Lectures 29/11, 2/1: Superconductivity. References: Ashcroft & Mermin, 34 Taylor & Heinonen, 6.5, , 7.
Condened Matter Phyi 6 Leture 9/ /: Suerondutivity. Attrative eletron-eletron interation. 3 year of uerondutivity 3. BCS theory 4. Ginzburg-Landau theory 5. Meooi uerondutivity 6. Joehon effet Referene:
More informationGeometry review, part I
Geometr reie, part I Geometr reie I Vectors and points points and ectors Geometric s. coordinate-based (algebraic) approach operations on ectors and points Lines implicit and parametric equations intersections,
More informationFree rotation of a rigid body 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012
Free rotation of a rigi boy 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012 1 Introuction In this section, we escribe the motion of a rigi boy that is free to rotate
More informationInternal Model Control
Internal Model Control Part o a et o leture note on Introdution to Robut Control by Ming T. Tham 2002 The Internal Model Prinile The Internal Model Control hiloohy relie on the Internal Model Prinile,
More informationPretest (Optional) Use as an additional pacing tool to guide instruction. August 21
Trimester 1 Pretest (Otional) Use as an additional acing tool to guide instruction. August 21 Beyond the Basic Facts In Trimester 1, Grade 7 focus on multilication. Daily Unit 1: The Number System Part
More information2D Geometric Transformations. (Chapter 5 in FVD)
2D Geometric Transformations (Chapter 5 in FVD) 2D geometric transformation Translation Scaling Rotation Shear Matri notation Compositions Homogeneous coordinates 2 2D Geometric Transformations Question:
More information... Particle acceleration whithout emittance or beta function
Introduction to Tranvere Beam Otic Bernhard Holzer II. ε &... don't worry: it' till the "ideal world" Hitorical note:... Particle acceleration whithout emittance or beta function 4 N ntz e i N θ * 4 8
More informationME 375 FINAL EXAM SOLUTIONS Friday December 17, 2004
ME 375 FINAL EXAM SOLUTIONS Friday December 7, 004 Diviion Adam 0:30 / Yao :30 (circle one) Name Intruction () Thi i a cloed book eamination, but you are allowed three 8.5 crib heet. () You have two hour
More informationFREQUENCY RESPONSE MASKING BASED DESIGN OF TWO-CHANNEL FIR FILTERBANKS WITH RATIONAL SAMPLING FACTORS
R. Bregović, Y. C. im an T. Saramäi, Freuency reone maing bae eign of two-channel FIR filterban with rational amling factor, Proc. 5 th Int. orho on Sectral Metho an Multirate Signal Proceing, Riga, atvia,
More information7. Two Random Variables
7. Two Random Variables In man eeriments the observations are eressible not as a single quantit but as a amil o quantities. or eamle to record the height and weight o each erson in a communit or the number
More informationCARLETON UNIVERSITY Final EXAMINATION Wed, April 26, 2006, 14:00
RLTO UIVRSITY Final ITIO We, pril 26, 26, 4: ame: umber: Signature: URTIO: 3 HOURS o. of Stuent: 29 epartment ame & oure umber: lectronic L 267, an oure Intructor() T.G.Ray an J. Knight UTHORIZ OR TUR
More informationChapter 5 Query Operations
hapter Qery Operation Releane Feedba Two general approahe: reate new qerie with er feedba reate new qerie atomatially Re-ompte doment weight with new information Expand or modify the qery to more arately
More informationSummary of the Class before Exam1
uar o the lass beore Ea Builing a FEA Moel Ingreients o a FEA sotware pacage teps in builing a FEA oel Moeling consierations D pring/truss Eleents ingle D spring/truss eleent Global stiness atri; properties
More informationChapter 5 Part 2. AC Bridges. Comparison Bridges. Capacitance. Measurements. Dr. Wael Salah
Chater 5 Part 2 AC Bridge Comarion Bridge Caacitance Meaurement 5.5 AC - BIDGES AC - Bridge enable u to erform recie meaurement for the following : eactance (caacitance and inductance) meaurement. Determining
More informationMCE/EEC 647/747: Robot Dynamics and Control. Lecture 2: Rigid Motions and Homogeneous Transformations
MCE/EEC 647/747: Robot Dynamics and Control Lecture 2: Rigid Motions and Homogeneous Transformations Reading: SHV Chapter 2 Mechanical Engineering Hanz Richter, PhD MCE503 p.1/22 Representing Points, Vectors
More informationPractice Problems - Week #7 Laplace - Step Functions, DE Solutions Solutions
For Quetion -6, rewrite the piecewie function uing tep function, ketch their graph, and find F () = Lf(t). 0 0 < t < 2. f(t) = (t 2 4) 2 < t In tep-function form, f(t) = u 2 (t 2 4) The graph i the olid
More informationMathematics 309 Conic sections and their applicationsn. Chapter 2. Quadric figures. ai,j x i x j + b i x i + c =0. 1. Coordinate changes
Mathematics 309 Conic sections and their applicationsn Chapter 2. Quadric figures In this chapter want to outline quickl how to decide what figure associated in 2D and 3D to quadratic equations look like.
More informationTAP 518-7: Fields in nature and in particle accelerators
TAP - : Field in nature and in particle accelerator Intruction and inforation Write your anwer in the pace proided The following data will be needed when anwering thee quetion: electronic charge 9 C a
More informationTable of Common Derivatives By David Abraham
Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec
More information1 - a 1 - b 1 - c a) 1 b) 2 c) -1 d) The projection of OP on a unit vector OQ equals thrice the area of parallelogram OPRQ.
Regter Number MODEL EXAMINATION PART III - MATHEMATICS [ENGLISH VERSION] Time : Hrs. Ma. Marks : 00 SECTION - A 0 = 0 Note :- (i) All questions are ompulsory. (ii) Eah question arries one mark. (iii) Choose
More informationAffine transformations
Reading Required: Affine transformations Brian Curless CSE 557 Fall 2009 Shirle, Sec. 2.4, 2.7 Shirle, Ch. 5.-5.3 Shirle, Ch. 6 Further reading: Fole, et al, Chapter 5.-5.5. David F. Rogers and J. Alan
More informationSTATICS. Equivalent Systems of Forces. Vector Mechanics for Engineers: Statics VECTOR MECHANICS FOR ENGINEERS: Contents & Objectives.
3 Rigid CHATER VECTOR ECHANICS FOR ENGINEERS: STATICS Ferdinand. Beer E. Russell Johnston, Jr. Lecture Notes: J. Walt Oler Teas Tech Universit Bodies: Equivalent Sstems of Forces Contents & Objectives
More informationLearning Multiplicative Interactions
CSC2535 2011 Lecture 6a Learning Multiplicative Interaction Geoffrey Hinton Two different meaning of multiplicative If we take two denity model and multiply together their probability ditribution at each
More information5.2.6 COMPARISON OF QUALITY CONTROL AND VERIFICATION TESTS
5..6 COMPARISON OF QUALITY CONTROL AND VERIFICATION TESTS Thi proedure i arried out to ompare two different et of multiple tet reult for finding the ame parameter. Typial example would be omparing ontrator
More informationEquations of lines in
Roberto s Notes on Linear Algebra Chapter 6: Lines, planes an other straight objects Section 1 Equations of lines in What ou nee to know alrea: The ot prouct. The corresponence between equations an graphs.
More informationNotes on the Fourier Transform
BE/EECS 56 6 FT Note Note on the Fourier Tranform Definition. The Fourier Tranform FT relate a function to it frequenc omain equivalent. The FT of a function i efine b the Fourier integral: G F{ } e iπ
More informationWhere Standard Physics Runs into Infinite Challenges, Atomism Predicts Exact Limits
Where Standard Phyi Run into Infinite Challenge, Atomim Predit Exat Limit Epen Gaarder Haug Norwegian Univerity of Life Siene Deember, 07 Abtrat Where tandard phyi run into infinite hallenge, atomim predit
More informationÇankaya University ECE Department ECE 376 (MT)
Çankaya Univerity ECE Department ECE 376 (M) Student Name : Date : 13.4.15 Student Number : Open Source Exam Quetion 1. (7 Point) he time waveform of the ignal et, and t t are given in Fig. 1.1. a. Identify
More informationA. Incorrect! The letter t does not appear in the expression of the given integral
AP Physics C - Problem Drill 1: The Funamental Theorem of Calculus Question No. 1 of 1 Instruction: (1) Rea the problem statement an answer choices carefully () Work the problems on paper as neee (3) Question
More informationCS 354R: Computer Game Technology
CS 354R: Computer Game Technolog Transformations Fall 207 Universit of Teas at Austin CS 354R Game Technolog S. Abraham Transformations What are the? Wh should we care? Universit of Teas at Austin CS 354R
More informationRapidly convergent representations for 2D and 3D Green s functions for a linear periodic array of dipole sources
Raily convergent rereentation for D an Green function for a linear erioic array of iole ource Derek Van Oren an Vitaliy Lomakin Deartment of Electrical an Comuter Engineering, Univerity of California,
More informationGraphics Example: Type Setting
D Transformations Graphics Eample: Tpe Setting Modern Computerized Tpesetting Each letter is defined in its own coordinate sstem And positioned on the page coordinate sstem It is ver simple, m she thought,
More informationModule: 8 Lecture: 1
Moule: 8 Lecture: 1 Energy iipate by amping Uually amping i preent in all ocillatory ytem. It effect i to remove energy from the ytem. Energy in a vibrating ytem i either iipate into heat oun or raiate
More informationAdelic Modular Forms
Aelic Moular Form October 3, 20 Motivation Hecke theory i concerne with a family of finite-imenional vector pace S k (N, χ), inexe by weight, level, an character. The Hecke operator on uch pace alreay
More informationFundamental Laws of Motion for Particles, Material Volumes, and Control Volumes
Funamental Laws of Motion for Particles, Material Volumes, an Control Volumes Ain A. Sonin Department of Mechanical Engineering Massachusetts Institute of Technology Cambrige, MA 02139, USA August 2001
More informationERTH403/HYD503, NM Tech Fall 2006
ERTH43/HYD53, NM Tech Fall 6 Variation from normal rawown hyrograph Unconfine aquifer figure from Krueman an e Rier (99) Variation from normal rawown hyrograph Unconfine aquifer Early time: when pumping
More informationELEC3114 Control Systems 1
ELEC34 Control Systems Linear Systems - Moelling - Some Issues Session 2, 2007 Introuction Linear systems may be represente in a number of ifferent ways. Figure shows the relationship between various representations.
More information(x,y) 4. Calculus I: Differentiation
4. Calculus I: Differentiation 4. The eriatie of a function Suppose we are gien a cure with a point lying on it. If the cure is smooth at then we can fin a unique tangent to the cure at : If the tangent
More informationChapter 4 Interconnection of LTI Systems
Chapter 4 Interconnection of LTI Sytem 4. INTRODUCTION Block diagram and ignal flow graph are commonly ued to decribe a large feedback control ytem. Each block in the ytem i repreented by a tranfer function,
More informationII. First variation of functionals
II. First variation of functionals The erivative of a function being zero is a necessary conition for the etremum of that function in orinary calculus. Let us now tackle the question of the equivalent
More informationCHAPTER 5. The Operational Amplifier 1
EECE22 NETWORK ANALYSIS I Dr. Charle J. Kim Cla Note 9: Oerational Amlifier (OP Am) CHAPTER. The Oerational Amlifier A. INTRODUCTION. The oerational amlifier or o am for hort, i a eratile circuit building
More informationCMSC 425: Lecture 4 Geometry and Geometric Programming
CMSC 425: Lecture 4 Geometry and Geometric Programming Geometry for Game Programming and Grahics: For the next few lectures, we will discuss some of the basic elements of geometry. There are many areas
More informationGraphs Recall from last time: A graph is a set of objects, or vertices, together with a (multi)set of edges that connect pairs of vertices.
Graphs Reall from last time: A graph is a set of ojets, or erties, together ith a (mlti)set of eges that onnet pairs of erties. Eample: e 2 e 3 e 4 e 5 e 1 Here, the erties are V t,,,,, an the eges are
More informationHeat Transfer Modeling using ANSYS FLUENT
Lecture 7 Heat raner in Porou Media 14.5 Releae Heat raner Modeling uing ANSYS FLUEN 2013 ANSYS, Inc. March 28, 2013 1 Releae 14.5 Agenda Introduction Porou Media Characterization he Rereentative Elementary
More informationMAE140 Linear Circuits Fall 2012 Final, December 13th
MAE40 Linear Circuit Fall 202 Final, December 3th Intruction. Thi exam i open book. You may ue whatever written material you chooe, including your cla note and textbook. You may ue a hand calculator with
More informationLecture 3: Development of the Truss Equations.
3.1 Derivation of the Stiffness Matrix for a Bar in Local Coorinates. In 3.1 we will perform Steps 1-4 of Logan s FEM. Derive the truss element equations. 1. Set the element type. 2. Select a isplacement
More information2.0 ANALYTICAL MODELS OF THERMAL EXCHANGES IN THE PYRANOMETER
2.0 ANAYTICA MODE OF THERMA EXCHANGE IN THE PYRANOMETER In Chapter 1, it wa etablihe that a better unertaning of the thermal exchange within the intrument i neceary to efine the quantitie proucing an offet.
More informationLecture 6. Material from Various Sources, Mainly Nise Chapters 5.8 and 12. Similarity Transformations and Introduction to State-Space Control
ETR Advaced Cotrol Lectre 6 aterial from Vario Sorce, ail Nie Chater.8 ad ETR ADVANCED CONTROL SEESTER, Similarit Traformatio ad Itrodctio to State-Sace Cotrol G. Hovlad Z. Dog State-Sace Deig v Freqec
More informationExperimental Simulation of Digital IIR Filter Design Technique Based on Butterworth and Impulse Invariance Concepts
Exerimental Simulation of Digital IIR Filter Deign Tehnique Bae on Butterworth an Imule Invariane Conet Vorao Patanaviit Aumtion Univerity of Thailan Bangkok, Thailan e-mail: Patanaviit@yahoo.om Abtrat
More information