Computing with diode model

Size: px
Start display at page:

Download "Computing with diode model"

Transcription

1 ECE 570 Session 5 C 752E Comuer Aided Engineering for negraed Circuis Comuing wih diode model Objecie: nroduce conces in numerical circui analsis Ouline: 1. Model of an examle circui wih a diode 2. Ouline of ical numerical roblems in circui simulaion 3. Discree ariable echniques 4. Secral echniques 10

2 1. Model of an examle circui wih a diode We shall examine a simle diode configuraion (a simlisic model of halfwa recifier) on he lef and is equialen circui on he righ. r E G E r i D Q D he resisor r in he equialen circui reresens he inernal resisance, r G, of he source and he diode resisance r s. For simlici we assume ha Q D reresen he diode juncion charge sorage. he equaion for he diode olage wrien using he equialen circui is nv d c E = s e 1 d r 11

3 c dq d where D PN juncion diode model. = is he incremenal juncion caaciance defined in he secion describing he 12

4 2. Ouline of ical numerical rocedures in simulaion of a circui. DC analsis Sead sae soluion of circui equaions wih all deriaies equaed o zero. n he circui his means ha caaciors are oen and inducors shored. n he examle circui he DC analsis is defined b he nonlinear algebraic equaion nv e 0 = s e 1 his equaion is soled ia linear aroximaion and ieraions (NR). r ransien analsis Ofen used, er inoled, exensie in CPU ime. Discree ariable echniques Variables are comued in discree imes. Secral echniques Series exansion of circui ariables 13

5 3. Discree ariable echniques (ime marching mehods) Basic mehods (mus be imlici): Procedures 1.ime discreizaion. single se [Backward Euler (BE), raezoidal (R)] mulise [Gear s]. he circui ariables are comued in he discree imes [ 0, 1, 2,..., M ]. Examle of circui equaion in discree ariables (diode circui discreized using BE) c( ) k 1 = e 1 r k 1 nv E k 1 k k 1 k 1 s k 1 k k = 0,1,2,3,... M 14

6 where k is he numerical aroximaion o ( k ). he iniial condiion (saring oin),, is usuall defined hrough DC analsis. he equaion is imlici because he o unknown, k 1, has o be comued from he nonlinear equaion. he difference, k 1 k, is he numerical inegraion se size Linearizaion. o simlif he noaion we shall designae = k 1, and hus consider he roblem of finding a soluion for one se onl ( k 1 ). Wih his noaion he circui equaion becomes k nv E k 1 c = s e 1 k 1. k r he nonlinear elemens are linearized using alor exansion around a emorar oeraing oin, (saring oin), and resuling linear nework is soled o deermine he imroed alue, 1. 15

7 should be oined here ha in he linearizaion rocedure we consider onl firs wo erms of he exansion so a single soluion of he resuling equaions ma no be adequae and ieraions are usuall required Linearizaion of VCCS in he diode model. o illusrae he rocedure we al he linearizaion o he curren source (VCCS) of he examle diode circui. he resuling relaion in he ieraie form wih he ieraion coun,, is or else i = nv e 1 s nv e D = s 1 nv = i nv e 1 s nv e s nv e D s k nv D nv D G 1. 16

8 his righ hand side of his relaion is used o relace he VCCS equaion and shows ha he linearizaion can be inerreed as a relacemen of he original nonlinear VCCS b an indeenden, consan curren source,, defined b D = nv e 1 s nv e and conneced in arallel wih he conducance, D s k nv G = D D G, which is also a consan s nv of he alue deermined b he known olage,, (known as a saring oin or as a resul of reious ieraion). he circui inerreaion of VCCS linearizaion is illusraed on he nex age. e nv 17

9 he linearized circui reresenaion of VCCS D D i D linear equialen 1 G D Dl 3.3. Linearizaion of caacior relaions in he diode model. o discuss he caacior linearizaion rocedure is conenien o rewrie he discreized circui equaion in he form nv E k 1 g g k = s e 1 r 18

10 g ( ) where = k 1 c k reresens he nonlinear conducance. he linearizaion of caacior is erformed relacing he nonlinear relaion g b dg g( 1) = g( ) ( 1 ). d Aling his exansion o he lef side of he discreized circui equaion and reaining consan and linear erms onl we obain nv E k 1 c Gc 1 = s e 1 where he equialen curren source, relaions: = c, and conducance, r Gc, are defined b he following 19

11 and dg = g ( ) ( ) d c k k = dg Gc = g d = k. 20

12 hese linearizaion rocedures can be inerreed in erms of an equialen circui linear c D 1 Gc equialen c which is comosed of conducance, c source alues are udaed a each ieraion. G, and curren source, c. he conducance and curren 21

13 3.4. he linearized equialen circui of he examle circui wih a juncion diode. Using he linearized VCCS and caacior circuis we can finall consruc he equialen linear circui for he inroduced here examle of nonlinear nework wih a diode. Such a nework is used in he circui ieraie soluion rocedure and is ofen called comanion nework. r Ek 1 1 GD Dl Gc c should be emhasized here ha all elemens of equialen circui (comanion nework) are consan he circui model is in he form of linear algebraic equaions. Howeer, he coefficiens are udaed from ieraion o ieraion. 22

14 4. Secral echniques Linearizaion in he case of secral echniques is based on NewonKanoroich aroach and resuls in a linear circui wih ime aring coefficiens. he equialen linear nework has ime aring elemens which is er disinc from he resul of linearizaion used in conjuncion wih ime marching mehods where all elemens are fixed. he circui model is in he form of linear differenial equaions wih ime aring coefficiens. his major disincion sems from he fac ha he linearizaion is erformed no around a fixed = ) eoling in ime. oeraing oin ( ), bu around a rajecor, ( 4.1. Linearizaion of caacior relaions. he linearizaion of lef side of he circui equaion (inoling he linearizaion of caacior) nv c d = E s e 1 d r 23

15 requires an addiional exlanaion. should be noed ha and such ha he lef side is inerreed as a funcion of wo ariables d z d = are reaed indeendenl ϕ, z. A linear exansion of a funcion wih wo argumens around, (, z ), can be obained as follows ϕ ϕ ϕ = (, z ) ϕ (, z ) z z z he funcion, ϕ (, z), in he case of ineres has a er simle form argumens is z z c z, which showing all d d c = c d = d = c z z. 24

16 Exanding his funcion according o he discussed rule and arranging he erms we obain he following linear aroximaion d c d d ( ) dc d ( ) dc d ( ) c ( ) ( ) ( ) d d d d d ( ) ( ) We shall inroduce he ime aring conducance G c ( ) G c = dc d ( ) d d ( ) c. and he ime aring curren source 25

17 where = dc c = d ( ) d d ( ). or else showing he indeenden ariable exlicil =. 26

18 Using he inroduced noaion for he gien funcions we can wrie he linearized relaion in a comac form d d c c Gc c d d which in he circui inerreaion means ha he equialen circui for he nonlinear caacior is a arallel connecion of ime aring caaciance, conducance, and curren source: linear c G ( ) equialen circui (ime aring elemens) c c ( ) c ( ) 27

19 4.2. Linearizaion of V characerisic. he linearizaion of he righ side of he circui equaion is sraighforward and ields d c Gc c = d nv s nv s nv E = s e 1 e e nv nv r. D D G 28

20 nroducing he ime deenden curren source defined b he formula = nv e 1 s nv e D s nv and ime deenden conducance defined as ( ) s nv GD e nv we can wrie he linearized circui equaion in he following comac form = 29

21 d c Gc c = d E ( ) = D GD r which forms a linear differenial equaion wih ime aring coefficiens. 30

22 4.3. Linearized equialen circui of diode nework. he linearized dnamic circui for simulaion of diode nework using secral echniques is shown in he schemaics below. he circui is dnamic as i conains he caacior, c ( ) circui a waeform, comonens.. o sole he, needs o be sulied o deermine all ime deenden circui r E D ( ) G D ( ) G ( ) c c c ( ) 31

Lecture 2: Telegrapher Equations For Transmission Lines. Power Flow.

Lecture 2: Telegrapher Equations For Transmission Lines. Power Flow. Whies, EE 481/581 Lecure 2 Page 1 of 13 Lecure 2: Telegraher Equaions For Transmission Lines. Power Flow. Microsri is one mehod for making elecrical connecions in a microwae circui. I is consruced wih

More information

8. Basic RL and RC Circuits

8. Basic RL and RC Circuits 8. Basic L and C Circuis This chaper deals wih he soluions of he responses of L and C circuis The analysis of C and L circuis leads o a linear differenial equaion This chaper covers he following opics

More information

CHAPTER 6: FIRST-ORDER CIRCUITS

CHAPTER 6: FIRST-ORDER CIRCUITS EEE5: CI CUI T THEOY CHAPTE 6: FIST-ODE CICUITS 6. Inroducion This chaper considers L and C circuis. Applying he Kirshoff s law o C and L circuis produces differenial equaions. The differenial equaions

More information

CHAPTER 12 DIRECT CURRENT CIRCUITS

CHAPTER 12 DIRECT CURRENT CIRCUITS CHAPTER 12 DIRECT CURRENT CIUITS DIRECT CURRENT CIUITS 257 12.1 RESISTORS IN SERIES AND IN PARALLEL When wo resisors are conneced ogeher as shown in Figure 12.1 we said ha hey are conneced in series. As

More information

Lecture 13 RC/RL Circuits, Time Dependent Op Amp Circuits

Lecture 13 RC/RL Circuits, Time Dependent Op Amp Circuits Lecure 13 RC/RL Circuis, Time Dependen Op Amp Circuis RL Circuis The seps involved in solving simple circuis conaining dc sources, resisances, and one energy-sorage elemen (inducance or capaciance) are:

More information

Solution of Integro-Differential Equations by Using ELzaki Transform

Solution of Integro-Differential Equations by Using ELzaki Transform Global Journal of Mahemaical Sciences: Theory and Pracical. Volume, Number (), pp. - Inernaional Research Publicaion House hp://www.irphouse.com Soluion of Inegro-Differenial Equaions by Using ELzaki Transform

More information

INDEX. Transient analysis 1 Initial Conditions 1

INDEX. Transient analysis 1 Initial Conditions 1 INDEX Secion Page Transien analysis 1 Iniial Condiions 1 Please inform me of your opinion of he relaive emphasis of he review maerial by simply making commens on his page and sending i o me a: Frank Mera

More information

Chapter 2. First Order Scalar Equations

Chapter 2. First Order Scalar Equations Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.

More information

R.#W.#Erickson# Department#of#Electrical,#Computer,#and#Energy#Engineering# University#of#Colorado,#Boulder#

R.#W.#Erickson# Department#of#Electrical,#Computer,#and#Energy#Engineering# University#of#Colorado,#Boulder# .#W.#Erickson# Deparmen#of#Elecrical,#Compuer,#and#Energy#Engineering# Universiy#of#Colorado,#Boulder# Chaper 2 Principles of Seady-Sae Converer Analysis 2.1. Inroducion 2.2. Inducor vol-second balance,

More information

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals

More information

Chapter 2: Principles of steady-state converter analysis

Chapter 2: Principles of steady-state converter analysis Chaper 2 Principles of Seady-Sae Converer Analysis 2.1. Inroducion 2.2. Inducor vol-second balance, capacior charge balance, and he small ripple approximaion 2.3. Boos converer example 2.4. Cuk converer

More information

Chapter 7 Response of First-order RL and RC Circuits

Chapter 7 Response of First-order RL and RC Circuits Chaper 7 Response of Firs-order RL and RC Circuis 7.- The Naural Response of RL and RC Circuis 7.3 The Sep Response of RL and RC Circuis 7.4 A General Soluion for Sep and Naural Responses 7.5 Sequenial

More information

Differential Geometry: Numerical Integration and Surface Flow

Differential Geometry: Numerical Integration and Surface Flow Differenial Geomery: Numerical Inegraion and Surface Flow [Implici Fairing of Irregular Meshes using Diffusion and Curaure Flow. Desbrun e al., 1999] Energy Minimizaion Recall: We hae been considering

More information

ECE 2100 Circuit Analysis

ECE 2100 Circuit Analysis ECE 1 Circui Analysis Lesson 35 Chaper 8: Second Order Circuis Daniel M. Liynski, Ph.D. ECE 1 Circui Analysis Lesson 3-34 Chaper 7: Firs Order Circuis (Naural response RC & RL circuis, Singulariy funcions,

More information

First Order RC and RL Transient Circuits

First Order RC and RL Transient Circuits Firs Order R and RL Transien ircuis Objecives To inroduce he ransiens phenomena. To analyze sep and naural responses of firs order R circuis. To analyze sep and naural responses of firs order RL circuis.

More information

Section 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients

Section 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients Secion 3.5 Nonhomogeneous Equaions; Mehod of Undeermined Coefficiens Key Terms/Ideas: Linear Differenial operaor Nonlinear operaor Second order homogeneous DE Second order nonhomogeneous DE Soluion o homogeneous

More information

Electrical Circuits. 1. Circuit Laws. Tools Used in Lab 13 Series Circuits Damped Vibrations: Energy Van der Pol Circuit

Electrical Circuits. 1. Circuit Laws. Tools Used in Lab 13 Series Circuits Damped Vibrations: Energy Van der Pol Circuit V() R L C 513 Elecrical Circuis Tools Used in Lab 13 Series Circuis Damped Vibraions: Energy Van der Pol Circui A series circui wih an inducor, resisor, and capacior can be represened by Lq + Rq + 1, a

More information

fakultät für informatik informatik 12 technische universität dortmund Petri Nets Peter Marwedel TU Dortmund, Informatik /10/10

fakultät für informatik informatik 12 technische universität dortmund Petri Nets Peter Marwedel TU Dortmund, Informatik /10/10 2 Peri Nes Peer Marwedel TU Dormund, Informaik 2 2008/0/0 Grahics: Alexandra Nole, Gesine Marwedel, 2003 Generalizaion of daa flow: Comuaional grahs Examle: Peri nes Inroduced in 962 by Carl Adam Peri

More information

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004 ODEs II, Lecure : Homogeneous Linear Sysems - I Mike Raugh March 8, 4 Inroducion. In he firs lecure we discussed a sysem of linear ODEs for modeling he excreion of lead from he human body, saw how o ransform

More information

EEEB113 CIRCUIT ANALYSIS I

EEEB113 CIRCUIT ANALYSIS I 9/14/29 1 EEEB113 CICUIT ANALYSIS I Chaper 7 Firs-Order Circuis Maerials from Fundamenals of Elecric Circuis 4e, Alexander Sadiku, McGraw-Hill Companies, Inc. 2 Firs-Order Circuis -Chaper 7 7.2 The Source-Free

More information

Chapter 8 The Complete Response of RL and RC Circuits

Chapter 8 The Complete Response of RL and RC Circuits Chaper 8 The Complee Response of RL and RC Circuis Seoul Naional Universiy Deparmen of Elecrical and Compuer Engineering Wha is Firs Order Circuis? Circuis ha conain only one inducor or only one capacior

More information

EECE251. Circuit Analysis I. Set 4: Capacitors, Inductors, and First-Order Linear Circuits

EECE251. Circuit Analysis I. Set 4: Capacitors, Inductors, and First-Order Linear Circuits EEE25 ircui Analysis I Se 4: apaciors, Inducors, and Firs-Order inear ircuis Shahriar Mirabbasi Deparmen of Elecrical and ompuer Engineering Universiy of Briish olumbia shahriar@ece.ubc.ca Overview Passive

More information

fakultät für informatik informatik 12 technische universität dortmund Petri Nets Peter Marwedel TU Dortmund, Informatik /11/09

fakultät für informatik informatik 12 technische universität dortmund Petri Nets Peter Marwedel TU Dortmund, Informatik /11/09 2 Peri Nes Peer Marwedel TU Dormund, Informaik 2 2009//09 Grahics: Alexandra Nole, Gesine Marwedel, 2003 Models of comuaion considered in his course Communicaion/ local comuaions Undefined comonens Communicaing

More information

2.4 Cuk converter example

2.4 Cuk converter example 2.4 Cuk converer example C 1 Cuk converer, wih ideal swich i 1 i v 1 2 1 2 C 2 v 2 Cuk converer: pracical realizaion using MOSFET and diode C 1 i 1 i v 1 2 Q 1 D 1 C 2 v 2 28 Analysis sraegy This converer

More information

Basic Circuit Elements Professor J R Lucas November 2001

Basic Circuit Elements Professor J R Lucas November 2001 Basic Circui Elemens - J ucas An elecrical circui is an inerconnecion of circui elemens. These circui elemens can be caegorised ino wo ypes, namely acive and passive elemens. Some Definiions/explanaions

More information

Homework-8(1) P8.3-1, 3, 8, 10, 17, 21, 24, 28,29 P8.4-1, 2, 5

Homework-8(1) P8.3-1, 3, 8, 10, 17, 21, 24, 28,29 P8.4-1, 2, 5 Homework-8() P8.3-, 3, 8, 0, 7, 2, 24, 28,29 P8.4-, 2, 5 Secion 8.3: The Response of a Firs Order Circui o a Consan Inpu P 8.3- The circui shown in Figure P 8.3- is a seady sae before he swich closes a

More information

10. State Space Methods

10. State Space Methods . Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he

More information

Inductor Energy Storage

Inductor Energy Storage School of Compuer Science and Elecrical Engineering 5/5/ nducor Energy Sorage Boh capaciors and inducors are energy sorage devices They do no dissipae energy like a resisor, bu sore and reurn i o he circui

More information

( ) = Q 0. ( ) R = R dq. ( t) = I t

( ) = Q 0. ( ) R = R dq. ( t) = I t ircuis onceps The addiion of a simple capacior o a circui of resisors allows wo relaed phenomena o occur The observaion ha he ime-dependence of a complex waveform is alered by he circui is referred o as

More information

Comparison between the Discrete and Continuous Time Models

Comparison between the Discrete and Continuous Time Models Comparison beween e Discree and Coninuous Time Models D. Sulsky June 21, 2012 1 Discree o Coninuous Recall e discree ime model Î = AIS Ŝ = S Î. Tese equaions ell us ow e populaion canges from one day o

More information

Problem Set #1. i z. the complex propagation constant. For the characteristic impedance:

Problem Set #1. i z. the complex propagation constant. For the characteristic impedance: Problem Se # Problem : a) Using phasor noaion, calculae he volage and curren waves on a ransmission line by solving he wave equaion Assume ha R, L,, G are all non-zero and independen of frequency From

More information

BOX-JENKINS MODEL NOTATION. The Box-Jenkins ARMA(p,q) model is denoted by the equation. pwhile the moving average (MA) part of the model is θ1at

BOX-JENKINS MODEL NOTATION. The Box-Jenkins ARMA(p,q) model is denoted by the equation. pwhile the moving average (MA) part of the model is θ1at BOX-JENKINS MODEL NOAION he Box-Jenkins ARMA(,q) model is denoed b he equaion + + L+ + a θ a L θ a 0 q q. () he auoregressive (AR) ar of he model is + L+ while he moving average (MA) ar of he model is

More information

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Simulaion-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Week Descripion Reading Maerial 2 Compuer Simulaion of Dynamic Models Finie Difference, coninuous saes, discree ime Simple Mehods Euler Trapezoid

More information

Some Basic Information about M-S-D Systems

Some Basic Information about M-S-D Systems Some Basic Informaion abou M-S-D Sysems 1 Inroducion We wan o give some summary of he facs concerning unforced (homogeneous) and forced (non-homogeneous) models for linear oscillaors governed by second-order,

More information

2.9 Modeling: Electric Circuits

2.9 Modeling: Electric Circuits SE. 2.9 Modeling: Elecric ircuis 93 2.9 Modeling: Elecric ircuis Designing good models is a ask he compuer canno do. Hence seing up models has become an imporan ask in modern applied mahemaics. The bes

More information

Direct Current Circuits. February 19, 2014 Physics for Scientists & Engineers 2, Chapter 26 1

Direct Current Circuits. February 19, 2014 Physics for Scientists & Engineers 2, Chapter 26 1 Direc Curren Circuis February 19, 2014 Physics for Scieniss & Engineers 2, Chaper 26 1 Ammeers and Volmeers! A device used o measure curren is called an ammeer! A device used o measure poenial difference

More information

CH.7. PLANE LINEAR ELASTICITY. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.7. PLANE LINEAR ELASTICITY. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.7. PLANE LINEAR ELASTICITY Coninuum Mechanics Course (MMC) - ETSECCPB - UPC Overview Plane Linear Elasici Theor Plane Sress Simplifing Hpohesis Srain Field Consiuive Equaion Displacemen Field The Linear

More information

LAPLACE TRANSFORM AND TRANSFER FUNCTION

LAPLACE TRANSFORM AND TRANSFER FUNCTION CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION Professor Dae Ryook Yang Spring 2018 Dep. of Chemical and Biological Engineering 5-1 Road Map of he Lecure V Laplace Transform and Transfer funcions

More information

6.2 Transforms of Derivatives and Integrals.

6.2 Transforms of Derivatives and Integrals. SEC. 6.2 Transforms of Derivaives and Inegrals. ODEs 2 3 33 39 23. Change of scale. If l( f ()) F(s) and c is any 33 45 APPLICATION OF s-shifting posiive consan, show ha l( f (c)) F(s>c)>c (Hin: In Probs.

More information

Università degli Studi di Roma Tor Vergata Dipartimento di Ingegneria Elettronica. Analogue Electronics. Paolo Colantonio A.A.

Università degli Studi di Roma Tor Vergata Dipartimento di Ingegneria Elettronica. Analogue Electronics. Paolo Colantonio A.A. Universià degli Sudi di Roma Tor Vergaa Diparimeno di Ingegneria Eleronica Analogue Elecronics Paolo Colanonio A.A. 2015-16 Diode circui analysis The non linearbehaviorofdiodesmakesanalysisdifficul consider

More information

Fault Tolerant Computing CS 530 Reliability Analysis. Yashwant K. Malaiya Colorado State University

Fault Tolerant Computing CS 530 Reliability Analysis. Yashwant K. Malaiya Colorado State University CS 53 eliabiliy Analysis Yashwan K. Malaiya Colorado Sae Universiy February 6, 27 eliabiliy Analysis: Ouline eliabiliy measures: eliabiliy, availabiliy, Transacion eliabiliy, MTTF and (, MTBF Basic Cases

More information

ES 250 Practice Final Exam

ES 250 Practice Final Exam ES 50 Pracice Final Exam. Given ha v 8 V, a Deermine he values of v o : 0 Ω, v o. V 0 Firs, v o 8. V 0 + 0 Nex, 8 40 40 0 40 0 400 400 ib i 0 40 + 40 + 40 40 40 + + ( ) 480 + 5 + 40 + 8 400 400( 0) 000

More information

EE100 Lab 3 Experiment Guide: RC Circuits

EE100 Lab 3 Experiment Guide: RC Circuits I. Inroducion EE100 Lab 3 Experimen Guide: A. apaciors A capacior is a passive elecronic componen ha sores energy in he form of an elecrosaic field. The uni of capaciance is he farad (coulomb/vol). Pracical

More information

Section 2.2 Charge and Current 2.6 b) The current direction is designated as the direction of the movement of positive charges.

Section 2.2 Charge and Current 2.6 b) The current direction is designated as the direction of the movement of positive charges. Chaper Soluions Secion. Inroducion. Curren source. Volage source. esisor.4 Capacior.5 Inducor Secion. Charge and Curren.6 b) The curren direcion is designaed as he direcion of he movemen of posiive charges..7

More information

System of Linear Differential Equations

System of Linear Differential Equations Sysem of Linear Differenial Equaions In "Ordinary Differenial Equaions" we've learned how o solve a differenial equaion for a variable, such as: y'k5$e K2$x =0 solve DE yx = K 5 2 ek2 x C_C1 2$y''C7$y

More information

THE BERNOULLI NUMBERS. t k. = lim. = lim = 1, d t B 1 = lim. 1+e t te t = lim t 0 (e t 1) 2. = lim = 1 2.

THE BERNOULLI NUMBERS. t k. = lim. = lim = 1, d t B 1 = lim. 1+e t te t = lim t 0 (e t 1) 2. = lim = 1 2. THE BERNOULLI NUMBERS The Bernoulli numbers are defined here by he exponenial generaing funcion ( e The firs one is easy o compue: (2 and (3 B 0 lim 0 e lim, 0 e ( d B lim 0 d e +e e lim 0 (e 2 lim 0 2(e

More information

FORECASTS GENERATING FOR ARCH-GARCH PROCESSES USING THE MATLAB PROCEDURES

FORECASTS GENERATING FOR ARCH-GARCH PROCESSES USING THE MATLAB PROCEDURES FORECASS GENERAING FOR ARCH-GARCH PROCESSES USING HE MALAB PROCEDURES Dušan Marček, Insiue of Comuer Science, Faculy of Philosohy and Science, he Silesian Universiy Oava he Faculy of Managemen Science

More information

Chapter 9 Sinusoidal Steady State Analysis

Chapter 9 Sinusoidal Steady State Analysis Chaper 9 Sinusoidal Seady Sae Analysis 9.-9. The Sinusoidal Source and Response 9.3 The Phasor 9.4 pedances of Passive Eleens 9.5-9.9 Circui Analysis Techniques in he Frequency Doain 9.0-9. The Transforer

More information

And the solution to the PDE problem must be of the form Π 1

And the solution to the PDE problem must be of the form Π 1 5. Self-Similar Soluions b Dimensional Analsis Consider he diffusion problem from las secion, wih poinwise release (Ref: Bluman & Cole, 2.3): c = D 2 c x + Q 0δ(x)δ() 2 c(x,0) = 0, c(±,) = 0 Iniial release

More information

Theory of! Partial Differential Equations!

Theory of! Partial Differential Equations! hp://www.nd.edu/~gryggva/cfd-course/! Ouline! Theory o! Parial Dierenial Equaions! Gréar Tryggvason! Spring 011! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

More information

Electrical and current self-induction

Electrical and current self-induction Elecrical and curren self-inducion F. F. Mende hp://fmnauka.narod.ru/works.hml mende_fedor@mail.ru Absrac The aricle considers he self-inducance of reacive elemens. Elecrical self-inducion To he laws of

More information

Chapter 10 INDUCTANCE Recommended Problems:

Chapter 10 INDUCTANCE Recommended Problems: Chaper 0 NDUCTANCE Recommended Problems: 3,5,7,9,5,6,7,8,9,,,3,6,7,9,3,35,47,48,5,5,69, 7,7. Self nducance Consider he circui shown in he Figure. When he swich is closed, he curren, and so he magneic field,

More information

Analytic Model and Bilateral Approximation for Clocked Comparator

Analytic Model and Bilateral Approximation for Clocked Comparator Analyic Model and Bilaeral Approximaion for Clocked Comparaor M. Greians, E. Hermanis, G.Supols Insiue of, Riga, Lavia, e-mail: gais.supols@edi.lv Research is suppored by: 1) ESF projec Nr.1DP/1.1.1.2.0/09/APIA/VIAA/020,

More information

APPLIED ECONOMETRIC TIME SERIES (2nd edition)

APPLIED ECONOMETRIC TIME SERIES (2nd edition) INSTRUCTOR S RESOURCE GUIDE TO ACCOMPANY APPLIED ECONOMETRIC TIME SERIES (2nd ediion) Waler Enders Universiy of Alabama Preared by Pin Chung American Reinsurance Comany and Iowa Sae Universiy Waler Enders

More information

Advanced FDTD Algorithms

Advanced FDTD Algorithms EE 5303 Elecromagneic Analsis Using Finie Difference Time Domain Lecure #5 Advanced FDTD Algorihms Lecure 5 These noes ma conain coprighed maerial obained under fair use rules. Disribuion of hese maerials

More information

Chapter 3 Boundary Value Problem

Chapter 3 Boundary Value Problem Chaper 3 Boundary Value Problem A boundary value problem (BVP) is a problem, ypically an ODE or a PDE, which has values assigned on he physical boundary of he domain in which he problem is specified. Le

More information

RC, RL and RLC circuits

RC, RL and RLC circuits Name Dae Time o Complee h m Parner Course/ Secion / Grade RC, RL and RLC circuis Inroducion In his experimen we will invesigae he behavior of circuis conaining combinaions of resisors, capaciors, and inducors.

More information

Computer-Aided Analysis of Electronic Circuits Course Notes 3

Computer-Aided Analysis of Electronic Circuits Course Notes 3 Gheorghe Asachi Technical Universiy of Iasi Faculy of Elecronics, Telecommunicaions and Informaion Technologies Compuer-Aided Analysis of Elecronic Circuis Course Noes 3 Bachelor: Telecommunicaion Technologies

More information

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow 1 KEY Mah 4 Miderm I Fall 8 secions 1 and Insrucor: Sco Glasgow Please do NOT wrie on his eam. No credi will be given for such work. Raher wrie in a blue book, or on our own paper, preferabl engineering

More information

ECE 2100 Circuit Analysis

ECE 2100 Circuit Analysis ECE 1 Circui Analysis Lesson 37 Chaper 8: Second Order Circuis Discuss Exam Daniel M. Liynski, Ph.D. Exam CH 1-4: On Exam 1; Basis for work CH 5: Operaional Amplifiers CH 6: Capaciors and Inducor CH 7-8:

More information

Theory of! Partial Differential Equations-I!

Theory of! Partial Differential Equations-I! hp://users.wpi.edu/~grear/me61.hml! Ouline! Theory o! Parial Dierenial Equaions-I! Gréar Tryggvason! Spring 010! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

More information

The Arcsine Distribution

The Arcsine Distribution The Arcsine Disribuion Chris H. Rycrof Ocober 6, 006 A common heme of he class has been ha he saisics of single walker are ofen very differen from hose of an ensemble of walkers. On he firs homework, we

More information

2. Nonlinear Conservation Law Equations

2. Nonlinear Conservation Law Equations . Nonlinear Conservaion Law Equaions One of he clear lessons learned over recen years in sudying nonlinear parial differenial equaions is ha i is generally no wise o ry o aack a general class of nonlinear

More information

Sub Module 2.6. Measurement of transient temperature

Sub Module 2.6. Measurement of transient temperature Mechanical Measuremens Prof. S.P.Venkaeshan Sub Module 2.6 Measuremen of ransien emperaure Many processes of engineering relevance involve variaions wih respec o ime. The sysem properies like emperaure,

More information

Math 2214 Sol Test 2B Spring 2015

Math 2214 Sol Test 2B Spring 2015 Mah 14 Sol Tes B Sring 015 roblem 1: An objec weighing ounds sreches a verical sring 8 fee beond i naural lengh before coming o res a equilibrium The objec is ushed u 6 fee from i s equilibrium osiion

More information

(b) (a) (d) (c) (e) Figure 10-N1. (f) Solution:

(b) (a) (d) (c) (e) Figure 10-N1. (f) Solution: Example: The inpu o each of he circuis shown in Figure 10-N1 is he volage source volage. The oupu of each circui is he curren i( ). Deermine he oupu of each of he circuis. (a) (b) (c) (d) (e) Figure 10-N1

More information

V L. DT s D T s t. Figure 1: Buck-boost converter: inductor current i(t) in the continuous conduction mode.

V L. DT s D T s t. Figure 1: Buck-boost converter: inductor current i(t) in the continuous conduction mode. ECE 445 Analysis and Design of Power Elecronic Circuis Problem Se 7 Soluions Problem PS7.1 Erickson, Problem 5.1 Soluion (a) Firs, recall he operaion of he buck-boos converer in he coninuous conducion

More information

Differential Equations

Differential Equations Mah 21 (Fall 29) Differenial Equaions Soluion #3 1. Find he paricular soluion of he following differenial equaion by variaion of parameer (a) y + y = csc (b) 2 y + y y = ln, > Soluion: (a) The corresponding

More information

Unsteady Flow Problems

Unsteady Flow Problems School of Mechanical Aerospace and Civil Engineering Unseady Flow Problems T. J. Craf George Begg Building, C41 TPFE MSc CFD-1 Reading: J. Ferziger, M. Peric, Compuaional Mehods for Fluid Dynamics H.K.

More information

Open loop vs Closed Loop. Example: Open Loop. Example: Feedforward Control. Advanced Control I

Open loop vs Closed Loop. Example: Open Loop. Example: Feedforward Control. Advanced Control I Open loop vs Closed Loop Advanced I Moor Command Movemen Overview Open Loop vs Closed Loop Some examples Useful Open Loop lers Dynamical sysems CPG (biologically inspired ), Force Fields Feedback conrol

More information

EE202 Circuit Theory II , Spring. Dr. Yılmaz KALKAN & Dr. Atilla DÖNÜK

EE202 Circuit Theory II , Spring. Dr. Yılmaz KALKAN & Dr. Atilla DÖNÜK EE202 Circui Theory II 2018 2019, Spring Dr. Yılmaz KALKAN & Dr. Ailla DÖNÜK 1. Basic Conceps (Chaper 1 of Nilsson - 3 Hrs.) Inroducion, Curren and Volage, Power and Energy 2. Basic Laws (Chaper 2&3 of

More information

Predator - Prey Model Trajectories and the nonlinear conservation law

Predator - Prey Model Trajectories and the nonlinear conservation law Predaor - Prey Model Trajecories and he nonlinear conservaion law James K. Peerson Deparmen of Biological Sciences and Deparmen of Mahemaical Sciences Clemson Universiy Ocober 28, 213 Ouline Drawing Trajecories

More information

Solutions for homework 12

Solutions for homework 12 y Soluions for homework Secion Nonlinear sysems: The linearizaion of a nonlinear sysem Consider he sysem y y y y y (i) Skech he nullclines Use a disincive marking for each nullcline so hey can be disinguished

More information

Petri Nets. Peter Marwedel TU Dortmund, Informatik 年 10 月 31 日. technische universität dortmund. fakultät für informatik informatik 12

Petri Nets. Peter Marwedel TU Dortmund, Informatik 年 10 月 31 日. technische universität dortmund. fakultät für informatik informatik 12 Sringer, 2 2 Peri Nes Peer Marwedel TU Dormund, Informaik 2 22 年 月 3 日 These slides use Microsof cli ars. Microsof coyrigh resricions aly. Models of comuaion considered in his course Communicaion/ local

More information

Math Linear Differential Equations

Math Linear Differential Equations Mah 65 - Linear Differenial Equaions A. J. Meir Copyrigh (C) A. J. Meir. All righs reserved. This workshee is for educaional use only. No par of his publicaion may be reproduced or ransmied for profi in

More information

Reading from Young & Freedman: For this topic, read sections 25.4 & 25.5, the introduction to chapter 26 and sections 26.1 to 26.2 & 26.4.

Reading from Young & Freedman: For this topic, read sections 25.4 & 25.5, the introduction to chapter 26 and sections 26.1 to 26.2 & 26.4. PHY1 Elecriciy Topic 7 (Lecures 1 & 11) Elecric Circuis n his opic, we will cover: 1) Elecromoive Force (EMF) ) Series and parallel resisor combinaions 3) Kirchhoff s rules for circuis 4) Time dependence

More information

Petri Nets. Peter Marwedel TU Dortmund, Informatik /05/13 These slides use Microsoft clip arts. Microsoft copyright restrictions apply.

Petri Nets. Peter Marwedel TU Dortmund, Informatik /05/13 These slides use Microsoft clip arts. Microsoft copyright restrictions apply. 2 Peri Nes Peer Marwedel TU Dormund, Informaik 2 Grahics: Alexandra Nole, Gesine Marwedel, 2003 20/05/3 These slides use Microsof cli ars. Microsof coyrigh resricions aly. Models of comuaion considered

More information

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon 3..3 INRODUCION O DYNAMIC OPIMIZAION: DISCREE IME PROBLEMS A. he Hamilonian and Firs-Order Condiions in a Finie ime Horizon Define a new funcion, he Hamilonian funcion, H. H he change in he oal value of

More information

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON DYNAMICAL SYSTEMS AND DIFFERENTIAL EQUATIONS May 4 7, 00, Wilmingon, NC, USA pp 0 Oscillaion of an Euler Cauchy Dynamic Equaion S Huff, G Olumolode,

More information

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes Half-Range Series 2.5 Inroducion In his Secion we address he following problem: Can we find a Fourier series expansion of a funcion defined over a finie inerval? Of course we recognise ha such a funcion

More information

UNIVERSITY OF CALIFORNIA AT BERKELEY

UNIVERSITY OF CALIFORNIA AT BERKELEY Homework #10 Soluions EECS 40, Fall 2006 Prof. Chang-Hasnain Due a 6 pm in 240 Cory on Wednesday, 04/18/07 oal Poins: 100 Pu (1) your name and (2) discussion secion number on your homework. You need o

More information

Math 333 Problem Set #2 Solution 14 February 2003

Math 333 Problem Set #2 Solution 14 February 2003 Mah 333 Problem Se #2 Soluion 14 February 2003 A1. Solve he iniial value problem dy dx = x2 + e 3x ; 2y 4 y(0) = 1. Soluion: This is separable; we wrie 2y 4 dy = x 2 + e x dx and inegrae o ge The iniial

More information

Final Spring 2007

Final Spring 2007 .615 Final Spring 7 Overview The purpose of he final exam is o calculae he MHD β limi in a high-bea oroidal okamak agains he dangerous n = 1 exernal ballooning-kink mode. Effecively, his corresponds o

More information

4.6 One Dimensional Kinematics and Integration

4.6 One Dimensional Kinematics and Integration 4.6 One Dimensional Kinemaics and Inegraion When he acceleraion a( of an objec is a non-consan funcion of ime, we would like o deermine he ime dependence of he posiion funcion x( and he x -componen of

More information

Check in: 1 If m = 2(x + 1) and n = find y when. b y = 2m n 2

Check in: 1 If m = 2(x + 1) and n = find y when. b y = 2m n 2 7 Parameric equaions This chaer will show ou how o skech curves using heir arameric equaions conver arameric equaions o Caresian equaions find oins of inersecion of curves and lines using arameric equaions

More information

ln 2 1 ln y x c y C x

ln 2 1 ln y x c y C x Lecure 14 Appendi B: Some sample problems from Boas Here are some soluions o he sample problems assigned for Chaper 8 8: 6 Soluion: We wan o find he soluion o he following firs order equaion using separaion

More information

University of Cyprus Biomedical Imaging and Applied Optics. Appendix. DC Circuits Capacitors and Inductors AC Circuits Operational Amplifiers

University of Cyprus Biomedical Imaging and Applied Optics. Appendix. DC Circuits Capacitors and Inductors AC Circuits Operational Amplifiers Universiy of Cyprus Biomedical Imaging and Applied Opics Appendix DC Circuis Capaciors and Inducors AC Circuis Operaional Amplifiers Circui Elemens An elecrical circui consiss of circui elemens such as

More information

Lab 10: RC, RL, and RLC Circuits

Lab 10: RC, RL, and RLC Circuits Lab 10: RC, RL, and RLC Circuis In his experimen, we will invesigae he behavior of circuis conaining combinaions of resisors, capaciors, and inducors. We will sudy he way volages and currens change in

More information

MA 366 Review - Test # 1

MA 366 Review - Test # 1 MA 366 Review - Tes # 1 Fall 5 () Resuls from Calculus: differeniaion formulas, implici differeniaion, Chain Rule; inegraion formulas, inegraion b pars, parial fracions, oher inegraion echniques. (1) Order

More information

Study and Evaluation of Performances of the Digital Multimeter

Study and Evaluation of Performances of the Digital Multimeter Sudy and Evaluaion of Performances of he Digial Mulimeer. Inroducion Mulimeers allow measuring he mos common elecrical quaniies: volage, curren, resisance. They evolved from simle ones based on elecromechanical

More information

Introduction to Numerical Analysis. In this lesson you will be taken through a pair of techniques that will be used to solve the equations of.

Introduction to Numerical Analysis. In this lesson you will be taken through a pair of techniques that will be used to solve the equations of. Inroducion o Nuerical Analysis oion In his lesson you will be aen hrough a pair of echniques ha will be used o solve he equaions of and v dx d a F d for siuaions in which F is well nown, and he iniial

More information

EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE

EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE Version April 30, 2004.Submied o CTU Repors. EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE Per Krysl Universiy of California, San Diego La Jolla, California 92093-0085,

More information

Real Analog Chapter 6: Energy Storage Elements

Real Analog Chapter 6: Energy Storage Elements 1300 Henley C. Pullman, WA 99163 509.334.6306 www.sore.digilen.com 6 Inroducion and Chaper Objecives So far, we have considered circuis ha have been governed by algebraic relaions. These circuis have,

More information

V(z, t) t < L v. z = 0 z = vt z = L. I(z, t) z = L

V(z, t) t < L v. z = 0 z = vt z = L. I(z, t) z = L W.C.Chew ECE 35 Lecure Noes 12. Transiens on a Transmission Line. When we do no have a ime harmonic signal on a ransmission line, we have o use ransien analysis o undersand he waves on a ransmission line.

More information

Computer Vision. Motion Extraction

Computer Vision. Motion Extraction Comuer Moion Eracion Comuer Alicaions of moion eracion Change / sho cu deecion Surveillance / raffic monioring Moion caure / gesure analsis HC image sabilisaion Moion comensaion e.g. medical roboics Feaure

More information

Designing Information Devices and Systems I Spring 2019 Lecture Notes Note 17

Designing Information Devices and Systems I Spring 2019 Lecture Notes Note 17 EES 16A Designing Informaion Devices and Sysems I Spring 019 Lecure Noes Noe 17 17.1 apaciive ouchscreen In he las noe, we saw ha a capacior consiss of wo pieces on conducive maerial separaed by a nonconducive

More information

Two Coupled Oscillators / Normal Modes

Two Coupled Oscillators / Normal Modes Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own

More information

( ) a system of differential equations with continuous parametrization ( T = R + These look like, respectively:

( ) a system of differential equations with continuous parametrization ( T = R + These look like, respectively: XIII. DIFFERENCE AND DIFFERENTIAL EQUATIONS Ofen funcions, or a sysem of funcion, are paramerized in erms of some variable, usually denoed as and inerpreed as ime. The variable is wrien as a funcion of

More information

Material Resistance and Friction in Cold Rolling

Material Resistance and Friction in Cold Rolling h World Congresses of Srucural and Mulidiscilinary Oimizaion Rio de Janeiro, 30 May - 03 June 200, Brazil Maerial Resisance and Fricion in Cold Rolling A.K. Tieu, C. You, H.T. Zhu, C. Lu, Z.Y. Jiang and

More information

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3 and d = c b - b c c d = c b - b c c This process is coninued unil he nh row has been compleed. The complee array of coefficiens is riangular. Noe ha in developing he array an enire row may be divided or

More information