CHE302 LECTURE VI DYNAMIC BEHAVIORS OF REPRESENTATIVE PROCESSES. Professor Dae Ryook Yang

Size: px
Start display at page:

Download "CHE302 LECTURE VI DYNAMIC BEHAVIORS OF REPRESENTATIVE PROCESSES. Professor Dae Ryook Yang"

Transcription

1 CHE30 LECTURE VI DYNAMIC BEHAVIORS OF REPRESENTATIVE PROCESSES Professor Dae Ryook Yang Fall 00 Dep. of Chemical and Biological Engineering orea Universiy CHE30 Process Dynamics and Conrol orea Universiy 6-

2 REPRESENTATIVE TYPES OF RESPONSE For sep inpus U(s) Process G(s) Y(s)? Y() Type of Model, G(s) Nonzero iniial slope, no overshoo or nor oscillaion, s order model s order+time delay Underdamped oscillaion, nd or higher order Overdamped oscillaion, nd or higher order Inverse response, negaive (RHP) zeros Unsable, no oscillaion, real RHP poles Unsable, oscillaion, complex RHP poles Susained oscillaion, pure imaginary poles CHE30 Process Dynamics and Conrol orea Universiy 6-

3 dy() d ST ORDER SYSTEM Firs-order linear ODE (assume all deviaion variables) Transfer funcion: Sep response: Wih U() s = A/ s, L = y () + u() ( s+ ) Ys () = U() s A Y s y A e s( s+ ) Ys () = U() s ( s+ ) L / () = () = ( ) / y( ) = A( e ) 0.63A A e A Time consan CHE30 Process Dynamics and Conrol orea Universiy 6-3 y() A 0.63A Gain / ( ) (Seling ime=4 5 ) y = Ae = A (0) / / / 0 (Nonzero iniial slope) = 0

4 Impulse response Wih U() s = A, A L A Y() s = y () = e ( s + ) / y() A Ramp response Wih U( s) = a/ s, a Y s y a e a s ( s+ ) L / ( ) = () = + ( ) y() u() / Sinusoidal response [ ω ] ω ω Wih U() s = L Asin = /( s + ), Y() s Aω L = ( s+ )( s + ω ) A y e ω + / () = ( ω ωcosω + sin ω ) y() φ = an ω A ω + ω + u () CHE30 Process Dynamics and Conrol orea Universiy 6-4

5 Ulimae sinusoidal response ( ) A y e ω + A = ( ω cosω+ sin ω) ω + A = + = ω + / () = lim ( ω ω cosω + sin ω ) Ampliude 0 sin( ω φ) ( φ an ω ) Phase angle The oupu has he same period of oscillaion as he inpu. Bu he ampliude is aenuaed and he phase is shifed. Normalized Ampliude Raio (AR N ) = < ω + Phase angle = an High frequency inpu will be aenuaed more and phase is shifed more. ω CHE30 Process Dynamics and Conrol orea Universiy 6-5

6 BODE PLOT FOR ST ORDER SYSTEM AR plo asympoe AR N ( ω 0) = lim = ω 0 ω + AR N ( ω ) = lim = ω ω + ω Phase plo asympoe φω ( 0) = liman ω = 0 ω 0 o φω ( ) = liman ω = 90 ω o I is also called low-pass filer CHE30 Process Dynamics and Conrol orea Universiy 6-6

7 ST ORDER PROCESSES Coninuous Sirred Tank dca V = qcai qca d CA() s q = = C () s Vs+ q ( V / qs ) + Ai c Ai, q i V h c A, q Wih consan hea capaciy and densiy dt ( Tref ) ρvcp = ρqcp( T0 Tref ) d ρqc ( T T ) T() s q = = T () s Vs+ q ( V / qs ) + 0 p ref T 0, q i V h T, q CHE30 Process Dynamics and Conrol orea Universiy 6-7

8 INTEGRATING SYSTEM dy () d L = u() sy() s = U() s Ys () Transfer Funcion: = U() s s Sep Response Wih U() s = / s, Y() s = L y () = s y() Slope= The oupu is an inegraion of inpu. Impulse response is a sep funcion. Non self-regulaing sysem CHE30 Process Dynamics and Conrol orea Universiy 6-8

9 INTEGRATING PROCESSES Sorage ank wih consan oule flow Oule flow is pumped ou by a consan-speed, consanvolume pump Oule flow is no a funcion of head. q i dh A qi q d = Hs () = Q() s As i H() s = Qs () As V Area = A h q CHE30 Process Dynamics and Conrol orea Universiy 6-9

10 nd order linear ODE Transfer Funcion: Sep response ND ORDER SYSTEM d y () dy() y () u() ( s s ) Ys () U() s d ζ L + + = d + ζ + = Ys () = U s s s () ( + ζ + ) Varies wih he ype of roos of denominaor of he TF. Real par of roos should be negaive for sabiliy: ζ 0 Two disinc real roos ( ζ > ): overdamped (no oscillaion) Double roo ( ): criically damped (no oscillaion) Complex roos ( ζ = 0 ζ < Time consan ): underdamped (oscillaion) CHE30 Process Dynamics and Conrol orea Universiy 6-0 Gain Damping Coefficien

11 Case I ( ζ > ) wih U(s)=/s e e Ys () = = y () = s s s s s s / / L ( + ζ + ) ( + )( + ) ( ) Case II ( ζ = ) L Ys () = = y () = + / e s( s + s+ ) s( s+ ) / ( ) Case III (0 ζ < ) L ζ / ζ ζ () = () = cosα + sin α ( α = ) Ys y e s( s + s+ ) α Naural frequency CHE30 Process Dynamics and Conrol orea Universiy 6-

12 Ulimae sinusoidal response [ ω ] Wih U() s = L Asin, Y() s y Aω L = ( s + s+ )( s + ω ) A () = sin( ω+ φ) ( φ = an ) ( ω ) + ( ζω ) Oher mehod o find ulimae sinusoidal response ζω ω -( α + jω) - jω For ( s+ α + jω), y () has e and i becomes e as ( α > 0). s jω Gs () = G( jω ) = ( s + ζs+ ) ( ω ) + jζω AR= G( jω ) = = ( ω ) + jω ( ω ) + ( ζω ) φ Im( G( jω)) ζω = G( jω) = an = an Re( G( jω)) ω CHE30 Process Dynamics and Conrol orea Universiy 6-

13 BODE PLOT FOR ND ORDER SYSTEM AR plo Phase plo AR ( ω ) = lim = N ω ( ) ( ) ω + ζω ( ω ) ζω ζ φω ( ) = liman = liman = 80 ω ω ω o ω Resonance d( ARN )/ dω = 0 ζ ωmax = for 0< ζ < Resonance The ampliude of oupu oscillaion is bigger han ha of inpu when he resonance occurs. CHE30 Process Dynamics and Conrol orea Universiy 6-3

14 ST ORDER VS. ND ORDER (OVERDAMPED) Iniial slope of sep response { } As A s order: y (0) = lim sys () = lim 0 s s = s + { } As nd order: y (0) = lim sys () = lim = 0 s s s+ ζ s+ Shape of he curve (Convexiy) = < > / s order: y () e 0 (For 0) No inflecion / / A e e nd order: y () = ( ) ( + as ) Inflecion CHE30 Process Dynamics and Conrol orea Universiy 6-4

15 CHARACTERIZATION OF SECOND ORDER SYSTEM nd order Underdamped response Rise ime ( r ) r = ( nπ cos ζ)/ ζ ( n= ) Time o s peak ( p ) p = π / ζ Seling ime ( s ) s / ζ ln(0.05) + exp ζπ ζ ( ζ ) + exp / + exp 3ζπ ζ Overshoo (OS) π π 3π ( ) OS= a/ b = exp πζ / ζ ζ ζ ζ Decay raio (DR): a funcion of damping coefficien only! ( ) DR= c/ a= ( OS ) = exp πζ / ζ Period of oscillaion (P) P = π / ζ CHE30 Process Dynamics and Conrol orea Universiy 6-5

16 ND ORDER PROCESSES Two anks in series If v =v, criically damped. Or, overdamped (no oscillaion) CA() s == C () s (( V / qs ) + )(( V / qs ) + ) Ai c Ai, q i V V c A, q Spring-dashpo (shock absorber) By force balance ( mg+ f()) ky cv= ma my = ky cy + ( mg + f()) m c m y + y + y = f () k 4mk k ζ (can be <: underdamped) CHE30 Process Dynamics and Conrol orea Universiy 6-6

17 Underdamped Processes Many examples can be found in mechanical and elecrical sysem. Among chemical processes, open-loop underdamped process is quie rare. However, when he processes are conrolled, he responses are usually underdamped. Depending on he conroller uning, he shape of response will be decided. Sligh overshoo resuls shor rise ime and ofen more desirable. Excessive overshoo may resuls long-lasing oscillaion. CHE30 Process Dynamics and Conrol orea Universiy 6-7

18 POLES AND ZEROS Gs () m m N() s bs ( m + bm s + + bs + ) = = n n Ds () ( as n + an s + + as + ) Poles (D(s)=0) Where a ransfer funcion canno be defined. Roos of he denominaor of he ransfer funcion Modes of he response Decide he sabiliy Zero (N(s)=0) Where a ransfer funcion becomes zero. Roos of he numeraor of he ransfer funcion Decide weighings for each mode of response Decide he size of overshoo or inverse response They can be real or complex CHE30 Process Dynamics and Conrol orea Universiy 6-8

19 Real pole from s = / Mode: e ( s + ) y() Im / Re If he pole is a he origin, i becomes inegraing pole. If he pole is in RHP, he response increases exponenially. Complex pole from ζ ζ s = ± j = α ± jβ ζ + ζ s = (funcion of only) = ζ s =± an (funcion of ζ only) ζ ζ = cosθ CHE30 Process Dynamics and Conrol orea Universiy 6-9 ( s + ζs+ ) (-< ζ < ) ζ / Im ζ θ ζ / ζ / Re

20 Modes: α± jβ α e = e (cosβ± jsin β) Assume is posiive. ζ / ζ ζ = e (cos ± jsin ) If ζ < 0, he exponenial par will grow as increases: unsable If ζ > 0, he exponenial par will shrink as increases: sable If ζ = 0, he roos are pure imaginary: susained oscillaion Effec of zero Ns () Gs () = = w + + wn ( s+ p ) ( s+ p ) ( s+ p ) ( s+ p ) n n The effecs on weighing facors are no obvious, bu i is clear ha he numeraor (zeros) will change he weighing facors. CHE30 Process Dynamics and Conrol orea Universiy 6-0

21 Lead-lag module N() s ( as+ ) Gs () = = Ds () ( s ) EFFECTS OF ZEROS Depending on he locaion of zero M( as ) a Ys () + M = = + s( s+ ) s s+ (a) a > > 0 The lead dominaes he lag. (b) 0 a + Lag < The lag dominaes he lead. Lead a / y () = M e (c) 0 > a Inverse response CHE30 Process Dynamics and Conrol orea Universiy 6-

22 Overdamped nd order+single zero sysem Gs () Ys () N() s ( as+ ) = = Ds () ( s+ )( s+ ) (a) a The lead dominaes he lags. (b) 0 < a The lags dominae he lead. (c) Inverse response M( as+ ) ( a ) ( a ) M ( + )( + ) + + = = + + s s s s s s a y () = M + e + e / a / > > 0 (assume > ) 0 > a CHE30 Process Dynamics and Conrol orea Universiy 6-

23 Oher inerpreaion y () y () Gs () ( as+ ) = = + ( s+ )( s+ ) ( s+ ) ( s+ ) s = = ( s + ) ( ) ( a + ) ( a) s= / s = = ( s + ) ( ) ( a + ) ( a ) s= / ( s + ) Since >, is slow dynamics and is fas dynamics. a U(s) y () y() ( s + ) > y y () a () a > 0 < 0 < 0 > 0 < y() y () y() > 0 < ε Y (s) Y (s) Y(s) > 0 < 0 > CHE30 Process Dynamics and Conrol orea Universiy 6-3

24 EFFECTS OF POLE LOCATION Faser response Faser response Im(s) More oscill. Less oscill. Shorer period of oscill. Unsable Region Faser response Re(s) Shorer period of oscill. CHE30 Process Dynamics and Conrol orea Universiy 6-4

25 EFFECTS OF ZERO LOCATION Zero a origin: Im(s) Complex LHP zero: valley Inverse response region Dominan Pole Deeper valley Complex RHP zero: 0 Re(s) Real LHP zero: More overdamped More overshoo Real RHP zero: Bigger inverse response CHE30 Process Dynamics and Conrol orea Universiy 6-5

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

Module 4: Time Response of discrete time systems Lecture Note 2

Module 4: Time Response of discrete time systems Lecture Note 2 Module 4: Time Response of discree ime sysems Lecure Noe 2 1 Prooype second order sysem The sudy of a second order sysem is imporan because many higher order sysem can be approimaed by a second order model

More information

Module 3: The Damped Oscillator-II Lecture 3: The Damped Oscillator-II

Module 3: The Damped Oscillator-II Lecture 3: The Damped Oscillator-II Module 3: The Damped Oscillaor-II Lecure 3: The Damped Oscillaor-II 3. Over-damped Oscillaions. This refers o he siuaion where β > ω (3.) The wo roos are and α = β + α 2 = β β 2 ω 2 = (3.2) β 2 ω 2 = 2

More information

Dynamic Effects of Feedback Control!

Dynamic Effects of Feedback Control! Dynamic Effecs of Feedback Conrol! Rober Sengel! Roboics and Inelligen Sysems MAE 345, Princeon Universiy, 2017 Inner, Middle, and Ouer Feedback Conrol Loops Sep Response of Linear, Time- Invarian (LTI)

More information

CHE302 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS. Professor Dae Ryook Yang

CHE302 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS. Professor Dae Ryook Yang CHE302 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS Professor Dae Ryook Yang Fall 200 Dep. of Chemical and Biological Engineering Korea Universiy CHE302 Process Dynamics and Conrol Korea Universiy

More information

CHBE320 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS. Professor Dae Ryook Yang

CHBE320 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS. Professor Dae Ryook Yang CHBE320 LECTURE IV MATHEMATICAL MODELING OF CHEMICAL PROCESS Professor Dae Ryook Yang Spring 208 Dep. of Chemical and Biological Engineering CHBE320 Process Dynamics and Conrol 4- Road Map of he Lecure

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

Wall. x(t) f(t) x(t = 0) = x 0, t=0. which describes the motion of the mass in absence of any external forcing.

Wall. x(t) f(t) x(t = 0) = x 0, t=0. which describes the motion of the mass in absence of any external forcing. MECHANICS APPLICATIONS OF SECOND-ORDER ODES 7 Mechanics applicaions of second-order ODEs Second-order linear ODEs wih consan coefficiens arise in many physical applicaions. One physical sysems whose behaviour

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

Q1) [20 points] answer for the following questions (ON THIS SHEET):

Q1) [20 points] answer for the following questions (ON THIS SHEET): Dr. Anas Al Tarabsheh The Hashemie Universiy Elecrical and Compuer Engineering Deparmen (Makeup Exam) Signals and Sysems Firs Semeser 011/01 Final Exam Dae: 1/06/01 Exam Duraion: hours Noe: means convoluion

More information

Chapter #1 EEE8013 EEE3001. Linear Controller Design and State Space Analysis

Chapter #1 EEE8013 EEE3001. Linear Controller Design and State Space Analysis Chaper EEE83 EEE3 Chaper # EEE83 EEE3 Linear Conroller Design and Sae Space Analysis Ordinary Differenial Equaions.... Inroducion.... Firs Order ODEs... 3. Second Order ODEs... 7 3. General Maerial...

More information

ENGI 9420 Engineering Analysis Assignment 2 Solutions

ENGI 9420 Engineering Analysis Assignment 2 Solutions ENGI 940 Engineering Analysis Assignmen Soluions 0 Fall [Second order ODEs, Laplace ransforms; Secions.0-.09]. Use Laplace ransforms o solve he iniial value problem [0] dy y, y( 0) 4 d + [This was Quesion

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

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is UNIT IMPULSE RESPONSE, UNIT STEP RESPONSE, STABILITY. Uni impulse funcion (Dirac dela funcion, dela funcion) rigorously defined is no sricly a funcion, bu disribuion (or measure), precise reamen requires

More information

Voltage/current relationship Stored Energy. RL / RC circuits Steady State / Transient response Natural / Step response

Voltage/current relationship Stored Energy. RL / RC circuits Steady State / Transient response Natural / Step response Review Capaciors/Inducors Volage/curren relaionship Sored Energy s Order Circuis RL / RC circuis Seady Sae / Transien response Naural / Sep response EE4 Summer 5: Lecure 5 Insrucor: Ocavian Florescu Lecure

More information

(1) (2) Differentiation of (1) and then substitution of (3) leads to. Therefore, we will simply consider the second-order linear system given by (4)

(1) (2) Differentiation of (1) and then substitution of (3) leads to. Therefore, we will simply consider the second-order linear system given by (4) Phase Plane Analysis of Linear Sysems Adaped from Applied Nonlinear Conrol by Sloine and Li The general form of a linear second-order sysem is a c b d From and b bc d a Differeniaion of and hen subsiuion

More information

Signal and System (Chapter 3. Continuous-Time Systems)

Signal and System (Chapter 3. Continuous-Time Systems) Signal and Sysem (Chaper 3. Coninuous-Time Sysems) Prof. Kwang-Chun Ho kwangho@hansung.ac.kr Tel: 0-760-453 Fax:0-760-4435 1 Dep. Elecronics and Informaion Eng. 1 Nodes, Branches, Loops A nework wih b

More information

For example, the comb filter generated from. ( ) has a transfer function. e ) has L notches at ω = (2k+1)π/L and L peaks at ω = 2π k/l,

For example, the comb filter generated from. ( ) has a transfer function. e ) has L notches at ω = (2k+1)π/L and L peaks at ω = 2π k/l, Comb Filers The simple filers discussed so far are characeried eiher by a single passband and/or a single sopband There are applicaions where filers wih muliple passbands and sopbands are required The

More information

Chapter #1 EEE8013 EEE3001. Linear Controller Design and State Space Analysis

Chapter #1 EEE8013 EEE3001. Linear Controller Design and State Space Analysis Chaper EEE83 EEE3 Chaper # EEE83 EEE3 Linear Conroller Design and Sae Space Analysis Ordinary Differenial Equaions.... Inroducion.... Firs Order ODEs... 3. Second Order ODEs... 7 3. General Maerial...

More information

DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING EXAMINATIONS 2008

DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING EXAMINATIONS 2008 [E5] IMPERIAL COLLEGE LONDON DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING EXAMINATIONS 008 EEE/ISE PART II MEng BEng and ACGI SIGNALS AND LINEAR SYSTEMS Time allowed: :00 hours There are FOUR quesions

More information

6.003 Homework #9 Solutions

6.003 Homework #9 Solutions 6.003 Homework #9 Soluions Problems. Fourier varieies a. Deermine he Fourier series coefficiens of he following signal, which is periodic in 0. x () 0 3 0 a 0 5 a k a k 0 πk j3 e 0 e j πk 0 jπk πk e 0

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

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

EE 224 Signals and Systems I Complex numbers sinusodal signals Complex exponentials e jωt phasor addition

EE 224 Signals and Systems I Complex numbers sinusodal signals Complex exponentials e jωt phasor addition EE 224 Signals and Sysems I Complex numbers sinusodal signals Complex exponenials e jω phasor addiion 1/28 Complex Numbers Recangular Polar y z r z θ x Good for addiion/subracion Good for muliplicaion/division

More information

Solutions of Sample Problems for Third In-Class Exam Math 246, Spring 2011, Professor David Levermore

Solutions of Sample Problems for Third In-Class Exam Math 246, Spring 2011, Professor David Levermore Soluions of Sample Problems for Third In-Class Exam Mah 6, Spring, Professor David Levermore Compue he Laplace ransform of f e from is definiion Soluion The definiion of he Laplace ransform gives L[f]s

More information

Let ( α, β be the eigenvector associated with the eigenvalue λ i

Let ( α, β be the eigenvector associated with the eigenvalue λ i ENGI 940 4.05 - Sabiliy Analysis (Linear) Page 4.5 Le ( α, be he eigenvecor associaed wih he eigenvalue λ i of he coefficien i i) marix A Le c, c be arbirary consans. a b c d Case of real, disinc, negaive

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering Dynamics and Control II Fall 2007

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering Dynamics and Control II Fall 2007 MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering.4 Dynamics and Control II Fall 7 Problem Set #9 Solution Posted: Sunday, Dec., 7. The.4 Tower system. The system parameters are

More information

AC Circuits AC Circuit with only R AC circuit with only L AC circuit with only C AC circuit with LRC phasors Resonance Transformers

AC Circuits AC Circuit with only R AC circuit with only L AC circuit with only C AC circuit with LRC phasors Resonance Transformers A ircuis A ircui wih only A circui wih only A circui wih only A circui wih phasors esonance Transformers Phys 435: hap 31, Pg 1 A ircuis New Topic Phys : hap. 6, Pg Physics Moivaion as ime we discovered

More information

EECE.3620 Signal and System I

EECE.3620 Signal and System I EECE.360 Signal and Sysem I Hengyong Yu, PhD Associae Professor Deparmen of Elecrical and Compuer Engineering Universiy of Massachuses owell EECE.360 Signal and Sysem I Ch.9.4. Geomeric Evaluaion of he

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

6.003 Homework #8 Solutions

6.003 Homework #8 Solutions 6.003 Homework #8 Soluions Problems. Fourier Series Deermine he Fourier series coefficiens a k for x () shown below. x ()= x ( + 0) 0 a 0 = 0 a k = e /0 sin(/0) for k 0 a k = π x()e k d = 0 0 π e 0 k d

More information

6.003 Homework #9 Solutions

6.003 Homework #9 Solutions 6.00 Homework #9 Soluions Problems. Fourier varieies a. Deermine he Fourier series coefficiens of he following signal, which is periodic in 0. x () 0 0 a 0 5 a k sin πk 5 sin πk 5 πk for k 0 a k 0 πk j

More information

System Processes input signal (excitation) and produces output signal (response)

System Processes input signal (excitation) and produces output signal (response) Signal A funcion of ime Sysem Processes inpu signal (exciaion) and produces oupu signal (response) Exciaion Inpu Sysem Oupu Response 1. Types of signals 2. Going from analog o digial world 3. An example

More information

Laplace Transform and its Relation to Fourier Transform

Laplace Transform and its Relation to Fourier Transform Chaper 6 Laplace Transform and is Relaion o Fourier Transform (A Brief Summary) Gis of he Maer 2 Domains of Represenaion Represenaion of signals and sysems Time Domain Coninuous Discree Time Time () [n]

More information

Continuous Time. Time-Domain System Analysis. Impulse Response. Impulse Response. Impulse Response. Impulse Response. ( t) + b 0.

Continuous Time. Time-Domain System Analysis. Impulse Response. Impulse Response. Impulse Response. Impulse Response. ( t) + b 0. Time-Domain Sysem Analysis Coninuous Time. J. Robers - All Righs Reserved. Edied by Dr. Rober Akl 1. J. Robers - All Righs Reserved. Edied by Dr. Rober Akl 2 Le a sysem be described by a 2 y ( ) + a 1

More information

Sliding Mode Controller for Unstable Systems

Sliding Mode Controller for Unstable Systems S. SIVARAMAKRISHNAN e al., Sliding Mode Conroller for Unsable Sysems, Chem. Biochem. Eng. Q. 22 (1) 41 47 (28) 41 Sliding Mode Conroller for Unsable Sysems S. Sivaramakrishnan, A. K. Tangirala, and M.

More information

Transient Response of a Second-Order System

Transient Response of a Second-Order System Transient Response of a Second-Order System ECEN 830 Spring 01 1. Introduction In connection with this experiment, you are selecting the gains in your feedback loop to obtain a well-behaved closed-loop

More information

Chapter 1 Fundamental Concepts

Chapter 1 Fundamental Concepts Chaper 1 Fundamenal Conceps 1 Signals A signal is a paern of variaion of a physical quaniy, ofen as a funcion of ime (bu also space, disance, posiion, ec). These quaniies are usually he independen variables

More information

The Laplace Transform

The Laplace Transform The Laplace Transform Previous basis funcions: 1, x, cosx, sinx, exp(jw). New basis funcion for he LT => complex exponenial funcions LT provides a broader characerisics of CT signals and CT LTI sysems

More information

1 st order ODE Initial Condition

1 st order ODE Initial Condition Mah-33 Chapers 1-1 s Order ODE Sepember 1, 17 1 1 s order ODE Iniial Condiion f, sandard form LINEAR NON-LINEAR,, p g differenial form M x dx N x d differenial form is equivalen o a pair of differenial

More information

t + t sin t t cos t sin t. t cos t sin t dt t 2 = exp 2 log t log(t cos t sin t) = Multiplying by this factor and then integrating, we conclude that

t + t sin t t cos t sin t. t cos t sin t dt t 2 = exp 2 log t log(t cos t sin t) = Multiplying by this factor and then integrating, we conclude that ODEs, Homework #4 Soluions. Check ha y ( = is a soluion of he second-order ODE ( cos sin y + y sin y sin = 0 and hen use his fac o find all soluions of he ODE. When y =, we have y = and also y = 0, so

More information

Traveling Waves. Chapter Introduction

Traveling Waves. Chapter Introduction Chaper 4 Traveling Waves 4.1 Inroducion To dae, we have considered oscillaions, i.e., periodic, ofen harmonic, variaions of a physical characerisic of a sysem. The sysem a one ime is indisinguishable from

More information

Math 2214 Solution Test 1A Spring 2016

Math 2214 Solution Test 1A Spring 2016 Mah 14 Soluion Tes 1A Spring 016 sec Problem 1: Wha is he larges -inerval for which ( 4) = has a guaraneed + unique soluion for iniial value (-1) = 3 according o he Exisence Uniqueness Theorem? Soluion

More information

Lectures 29 and 30 BIQUADRATICS AND STATE SPACE OP AMP REALIZATIONS. I. Introduction

Lectures 29 and 30 BIQUADRATICS AND STATE SPACE OP AMP REALIZATIONS. I. Introduction EE-202/445, 3/18/18 9-1 R. A. DeCarlo Lecures 29 and 30 BIQUADRATICS AND STATE SPACE OP AMP REALIZATIONS I. Inroducion 1. The biquadraic ransfer funcion has boh a 2nd order numeraor and a 2nd order denominaor:

More information

Solutions to Assignment 1

Solutions to Assignment 1 MA 2326 Differenial Equaions Insrucor: Peronela Radu Friday, February 8, 203 Soluions o Assignmen. Find he general soluions of he following ODEs: (a) 2 x = an x Soluion: I is a separable equaion as we

More information

dt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3.

dt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3. Mah Rahman Exam Review Soluions () Consider he IVP: ( 4)y 3y + 4y = ; y(3) = 0, y (3) =. (a) Please deermine he longes inerval for which he IVP is guaraneed o have a unique soluion. Soluion: The disconinuiies

More information

6 December 2013 H. T. Hoang - www4.hcmut.edu.vn/~hthoang/ 1

6 December 2013 H. T. Hoang - www4.hcmut.edu.vn/~hthoang/ 1 Lecure Noe Fundamenal of Conrol Syem Inrucor: Aoc. Prof. Dr. Huynh Thai Hoang Deparmen of Auomaic Conrol Faculy of Elecrical & Elecronic Engineering Ho Chi Minh Ciy Univeriy of Technology Email: hhoang@hcmu.edu.vn

More information

Systems Analysis and Control

Systems Analysis and Control Systems Analysis and Control Matthew M. Peet Illinois Institute of Technology Lecture 8: Response Characteristics Overview In this Lecture, you will learn: Characteristics of the Response Stability Real

More information

Laplace Transforms. Examples. Is this equation differential? y 2 2y + 1 = 0, y 2 2y + 1 = 0, (y ) 2 2y + 1 = cos x,

Laplace Transforms. Examples. Is this equation differential? y 2 2y + 1 = 0, y 2 2y + 1 = 0, (y ) 2 2y + 1 = cos x, Laplace Transforms Definiion. An ordinary differenial equaion is an equaion ha conains one or several derivaives of an unknown funcion which we call y and which we wan o deermine from he equaion. The equaion

More information

1 1 + x 2 dx. tan 1 (2) = ] ] x 3. Solution: Recall that the given integral is improper because. x 3. 1 x 3. dx = lim dx.

1 1 + x 2 dx. tan 1 (2) = ] ] x 3. Solution: Recall that the given integral is improper because. x 3. 1 x 3. dx = lim dx. . Use Simpson s rule wih n 4 o esimae an () +. Soluion: Since we are using 4 seps, 4 Thus we have [ ( ) f() + 4f + f() + 4f 3 [ + 4 4 6 5 + + 4 4 3 + ] 5 [ + 6 6 5 + + 6 3 + ]. 5. Our funcion is f() +.

More information

Guest Lectures for Dr. MacFarlane s EE3350 Part Deux

Guest Lectures for Dr. MacFarlane s EE3350 Part Deux Gues Lecures for Dr. MacFarlane s EE3350 Par Deux Michael Plane Mon., 08-30-2010 Wrie name in corner. Poin ou his is a review, so I will go faser. Remind hem o go lisen o online lecure abou geing an A

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

ME 452 Fourier Series and Fourier Transform

ME 452 Fourier Series and Fourier Transform ME 452 Fourier Series and Fourier ransform Fourier series From Joseph Fourier in 87 as a resul of his sudy on he flow of hea. If f() is almos any periodic funcion i can be wrien as an infinie sum of sines

More information

Chapter 4 The Fourier Series and Fourier Transform

Chapter 4 The Fourier Series and Fourier Transform Represenaion of Signals in Terms of Frequency Componens Chaper 4 The Fourier Series and Fourier Transform Consider he CT signal defined by x () = Acos( ω + θ ), = The frequencies `presen in he signal are

More information

Second Order Systems

Second Order Systems Second Order Systems independent energy storage elements => Resonance: inertance & capacitance trade energy, kinetic to potential Example: Automobile Suspension x z vertical motions suspension spring shock

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

CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION. Professor Dae Ryook Yang

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

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

Chapter 2 SDOF Vibration Control 2.1 Transfer Function

Chapter 2 SDOF Vibration Control 2.1 Transfer Function Chapter SDOF Vibration Control.1 Transfer Function mx ɺɺ( t) + cxɺ ( t) + kx( t) = F( t) Defines the transfer function as output over input X ( s) 1 = G( s) = (1.39) F( s) ms + cs + k s is a complex number:

More information

Dynamic Response. Assoc. Prof. Enver Tatlicioglu. Department of Electrical & Electronics Engineering Izmir Institute of Technology.

Dynamic Response. Assoc. Prof. Enver Tatlicioglu. Department of Electrical & Electronics Engineering Izmir Institute of Technology. Dynamic Response Assoc. Prof. Enver Tatlicioglu Department of Electrical & Electronics Engineering Izmir Institute of Technology Chapter 3 Assoc. Prof. Enver Tatlicioglu (EEE@IYTE) EE362 Feedback Control

More information

Math 36. Rumbos Spring Solutions to Assignment #6. 1. Suppose the growth of a population is governed by the differential equation.

Math 36. Rumbos Spring Solutions to Assignment #6. 1. Suppose the growth of a population is governed by the differential equation. Mah 36. Rumbos Spring 1 1 Soluions o Assignmen #6 1. Suppose he growh of a populaion is governed by he differenial equaion where k is a posiive consan. d d = k (a Explain why his model predics ha he populaion

More information

Homework 6 AERE331 Spring 2019 Due 4/24(W) Name Sec. 1 / 2

Homework 6 AERE331 Spring 2019 Due 4/24(W) Name Sec. 1 / 2 Homework 6 AERE33 Spring 9 Due 4/4(W) Name Sec / PROBLEM (5p In PROBLEM 4 of HW4 we used he frequency domain o design a yaw/rudder feedback conrol sysem for a plan wih ransfer funcion 46 Gp () s The conroller

More information

Laplace transfom: t-translation rule , Haynes Miller and Jeremy Orloff

Laplace transfom: t-translation rule , Haynes Miller and Jeremy Orloff Laplace ransfom: -ranslaion rule 8.03, Haynes Miller and Jeremy Orloff Inroducory example Consider he sysem ẋ + 3x = f(, where f is he inpu and x he response. We know is uni impulse response is 0 for

More information

6.302 Feedback Systems Recitation 4: Complex Variables and the s-plane Prof. Joel L. Dawson

6.302 Feedback Systems Recitation 4: Complex Variables and the s-plane Prof. Joel L. Dawson Number 1 quesion: Why deal wih imaginary and complex numbers a all? One answer is ha, as an analyical echnique, hey make our lives easier. Consider passing a cosine hrough an LTI filer wih impulse response

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

Section 3.8, Mechanical and Electrical Vibrations

Section 3.8, Mechanical and Electrical Vibrations Secion 3.8, Mechanical and Elecrical Vibraions Mechanical Unis in he U.S. Cusomary and Meric Sysems Disance Mass Time Force g (Earh) Uni U.S. Cusomary MKS Sysem CGS Sysem fee f slugs seconds sec pounds

More information

Basic Principles of Sinusoidal Oscillators

Basic Principles of Sinusoidal Oscillators Basic Principles of Sinusoidal Oscillaors Linear oscillaor Linear region of circui : linear oscillaion Nonlinear region of circui : ampliudes sabilizaion Barkhausen crierion X S Amplifier A X O X f Frequency-selecive

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

Section 7.4 Modeling Changing Amplitude and Midline

Section 7.4 Modeling Changing Amplitude and Midline 488 Chaper 7 Secion 7.4 Modeling Changing Ampliude and Midline While sinusoidal funcions can model a variey of behaviors, i is ofen necessary o combine sinusoidal funcions wih linear and exponenial curves

More information

( ) ( ) ( ) () () Signals And Systems Exam#1. 1. Given x(t) and y(t) below: x(t) y(t) (A) Give the expression of x(t) in terms of step functions.

( ) ( ) ( ) () () Signals And Systems Exam#1. 1. Given x(t) and y(t) below: x(t) y(t) (A) Give the expression of x(t) in terms of step functions. Signals And Sysems Exam#. Given x() and y() below: x() y() 4 4 (A) Give he expression of x() in erms of sep funcions. (%) x () = q() q( ) + q( 4) (B) Plo x(.5). (%) x() g() = x( ) h() = g(. 5) = x(. 5)

More information

ME 391 Mechanical Engineering Analysis

ME 391 Mechanical Engineering Analysis Fall 04 ME 39 Mechanical Engineering Analsis Eam # Soluions Direcions: Open noes (including course web posings). No books, compuers, or phones. An calculaor is fair game. Problem Deermine he posiion of

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

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

Chapter 2 : Fourier Series. Chapter 3 : Fourier Series

Chapter 2 : Fourier Series. Chapter 3 : Fourier Series Chaper 2 : Fourier Series.0 Inroducion Fourier Series : represenaion of periodic signals as weighed sums of harmonically relaed frequencies. If a signal x() is periodic signal, hen x() can be represened

More information

I. Define the Situation

I. Define the Situation I. efine he Siuaion This exam explores he relaionship beween he applied volage o a permanen magne C moond he linear velociy (speed) of he elecric vehicle (EV) he moor drives. The moor oupu is fed ino a

More information

Delhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubaneswar Kolkata Patna Web: Ph:

Delhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubaneswar Kolkata Patna Web:     Ph: Serial : 0. ND_NW_EE_Signal & Sysems_4068 Delhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubaneswar Kolkaa Pana Web: E-mail: info@madeeasy.in Ph: 0-4546 CLASS TEST 08-9 ELECTRICAL ENGINEERING

More information

IE1206 Embedded Electronics

IE1206 Embedded Electronics E06 Embedded Elecronics Le Le3 Le4 Le Ex Ex P-block Documenaion, Seriecom Pulse sensors,, R, P, serial and parallel K LAB Pulse sensors, Menu program Sar of programing ask Kirchhoffs laws Node analysis

More information

ME 375 EXAM #1 Friday, March 13, 2015 SOLUTION

ME 375 EXAM #1 Friday, March 13, 2015 SOLUTION ME 375 EXAM #1 Friday, March 13, 2015 SOLUTION PROBLEM 1 A system is made up of a homogeneous disk (of mass m and outer radius R), particle A (of mass m) and particle B (of mass m). The disk is pinned

More information

Program: RFEM 5, RSTAB 8, RF-DYNAM Pro, DYNAM Pro. Category: Isotropic Linear Elasticity, Dynamics, Member

Program: RFEM 5, RSTAB 8, RF-DYNAM Pro, DYNAM Pro. Category: Isotropic Linear Elasticity, Dynamics, Member Verificaion Example Program: RFEM 5, RSTAB 8, RF-DYNAM Pro, DYNAM Pro Caegory: Isoropic Linear Elasiciy, Dynamics, Member Verificaion Example: 0104 Canilever Beam wih Periodic Exciaion 0104 Canilever Beam

More information

4. Advanced Stability Theory

4. Advanced Stability Theory Applied Nonlinear Conrol Nguyen an ien - 4 4 Advanced Sabiliy heory he objecive of his chaper is o presen sabiliy analysis for non-auonomous sysems 41 Conceps of Sabiliy for Non-Auonomous Sysems Equilibrium

More information

Course roadmap. Step response for 2nd-order system. Step response for 2nd-order system

Course roadmap. Step response for 2nd-order system. Step response for 2nd-order system ME45: Control Systems Lecture Time response of nd-order systems Prof. Clar Radcliffe and Prof. Jongeun Choi Department of Mechanical Engineering Michigan State University Modeling Laplace transform Transfer

More information

Math 23 Spring Differential Equations. Final Exam Due Date: Tuesday, June 6, 5pm

Math 23 Spring Differential Equations. Final Exam Due Date: Tuesday, June 6, 5pm Mah Spring 6 Differenial Equaions Final Exam Due Dae: Tuesday, June 6, 5pm Your name (please prin): Insrucions: This is an open book, open noes exam. You are free o use a calculaor or compuer o check your

More information

ES.1803 Topic 22 Notes Jeremy Orloff

ES.1803 Topic 22 Notes Jeremy Orloff ES.83 Topic Noes Jeremy Orloff Fourier series inroducion: coninued. Goals. Be able o compue he Fourier coefficiens of even or odd periodic funcion using he simplified formulas.. Be able o wrie and graph

More information

Dead-time Induced Oscillations in Inverter-fed Induction Motor Drives

Dead-time Induced Oscillations in Inverter-fed Induction Motor Drives Dead-ime Induced Oscillaions in Inverer-fed Inducion Moor Drives Anirudh Guha Advisor: Prof G. Narayanan Power Elecronics Group Dep of Elecrical Engineering, Indian Insiue of Science, Bangalore, India

More information

Practice Problems - Week #4 Higher-Order DEs, Applications Solutions

Practice Problems - Week #4 Higher-Order DEs, Applications Solutions Pracice Probles - Wee #4 Higher-Orer DEs, Applicaions Soluions 1. Solve he iniial value proble where y y = 0, y0 = 0, y 0 = 1, an y 0 =. r r = rr 1 = rr 1r + 1, so he general soluion is C 1 + C e x + C

More information

Process Control & Instrumentation (CH 3040)

Process Control & Instrumentation (CH 3040) First-order systems Process Control & Instrumentation (CH 3040) Arun K. Tangirala Department of Chemical Engineering, IIT Madras January - April 010 Lectures: Mon, Tue, Wed, Fri Extra class: Thu A first-order

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

ECE-205 Dynamical Systems

ECE-205 Dynamical Systems ECE-5 Dynamical Sysems Course Noes Spring Bob Throne Copyrigh Rober D. Throne Copyrigh Rober D. Throne . Elecrical Sysems The ypes of dynamical sysems we will be sudying can be modeled in erms of algebraic

More information

Problem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims

Problem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims Problem Se 5 Graduae Macro II, Spring 2017 The Universiy of Nore Dame Professor Sims Insrucions: You may consul wih oher members of he class, bu please make sure o urn in your own work. Where applicable,

More information

III-A. Fourier Series Expansion

III-A. Fourier Series Expansion Summer 28 Signals & Sysems S.F. Hsieh III-A. Fourier Series Expansion Inroducion. Divide and conquer Signals can be decomposed as linear combinaions of: (a) shifed impulses: (sifing propery) Why? x() x()δ(

More information

Stability analysis of nonsmooth limit cycles with applications from power electronics

Stability analysis of nonsmooth limit cycles with applications from power electronics Inernaional Workshop on Resonance Oscillaions & Sabiliy of Nonsmooh Sysems Imperial College June 29 Sabiliy analysis of nonsmooh limi cycles wih applicaions from power elecronics Dr D. Giaouris damian.giaouris@ncl.ac.uk

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

A Bayesian Approach to Spectral Analysis

A Bayesian Approach to Spectral Analysis Chirped Signals A Bayesian Approach o Specral Analysis Chirped signals are oscillaing signals wih ime variable frequencies, usually wih a linear variaion of frequency wih ime. E.g. f() = A cos(ω + α 2

More information

Stability and Bifurcation in a Neural Network Model with Two Delays

Stability and Bifurcation in a Neural Network Model with Two Delays Inernaional Mahemaical Forum, Vol. 6, 11, no. 35, 175-1731 Sabiliy and Bifurcaion in a Neural Nework Model wih Two Delays GuangPing Hu and XiaoLing Li School of Mahemaics and Physics, Nanjing Universiy

More information

Bifurcation Analysis of a Stage-Structured Prey-Predator System with Discrete and Continuous Delays

Bifurcation Analysis of a Stage-Structured Prey-Predator System with Discrete and Continuous Delays Applied Mahemaics 4 59-64 hp://dx.doi.org/.46/am..4744 Published Online July (hp://www.scirp.org/ournal/am) Bifurcaion Analysis of a Sage-Srucured Prey-Predaor Sysem wih Discree and Coninuous Delays Shunyi

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 3 Signals & Sysems Prof. Mark Fowler Noe Se #2 Wha are Coninuous-Time Signals??? Reading Assignmen: Secion. of Kamen and Heck /22 Course Flow Diagram The arrows here show concepual flow beween ideas.

More information

EECS 2602 Winter Laboratory 3 Fourier series, Fourier transform and Bode Plots in MATLAB

EECS 2602 Winter Laboratory 3 Fourier series, Fourier transform and Bode Plots in MATLAB EECS 6 Winer 7 Laboraory 3 Fourier series, Fourier ransform and Bode Plos in MATLAB Inroducion: The objecives of his lab are o use MATLAB:. To plo periodic signals wih Fourier series represenaion. To obain

More information

Chapter 7: Inverse-Response Systems

Chapter 7: Inverse-Response Systems Chaper 7: Invere-Repone Syem Normal Syem Invere-Repone Syem Baic Sar ou in he wrong direcion End up in he original eady-ae gain value Two or more yem wih differen magniude and cale in parallel Main yem

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

Time Domain Transfer Function of the Induction Motor

Time Domain Transfer Function of the Induction Motor Sudies in Engineering and Technology Vol., No. ; Augus 0 ISSN 008 EISSN 006 Published by Redfame Publishing URL: hp://se.redfame.com Time Domain Transfer Funcion of he Inducion Moor N N arsoum Correspondence:

More information