Electromechanical System Dynamics, energy Conversion, and Electromechanical Analogies. Modeling of Dynamic Systems

Size: px
Start display at page:

Download "Electromechanical System Dynamics, energy Conversion, and Electromechanical Analogies. Modeling of Dynamic Systems"

Transcription

1 Elecroecicl Syse Dyics, eergy Coersio, d Elecroecicl Alogies Modelig of Dyic Syses Modelig of dyic syses y e doe i seerl wys: Use e sdrd equio of oio Newo s Lw for ecicl syses Use circuis eores O s lw d Kircoff s lws: KCL d KVL Aoer pproc uilizes e oio of eergy o odel e dyic syse Lgrge odel

2 Meicl Modelig d Syse Dyics Newoi Mecics: Trsliol Moio Te equios of oio of ecicl syses c e foud usig Newo s secod lw of oio F is e ecor su of ll forces pplied o e ody; is e ecor of ccelerio of e ody wi respec o ieril referece fre; d is e ss of e ody To pply Newo s lw, e free-ody digr i e coordie syse used sould e sudied F

3 Force : Fcoulo Trsliol Moio i Elecroecicl Syses Cosiderio of fricio is esseil for udersdig e operio of elecroecicl syses Fricio is ery cople olier peoeo d is ery difficul o odel fricio Te clssicl Coulo fricio is rerdig friciol force for rsliol oio or orque for roiol oio cges is sig wi e reersl of e direcio of oio, d e pliude of e friciol force or orque re cos Viscous fricio is rerdig force or orque is lier fucio of lier or gulr elociy 3

4 Newoi Mecics: Trsliol Moio For oe-diesiol roiol syses, Newo s secod lw of oio is epressed s e followig equio M is e su of ll oes ou e ceer of ss of ody N; J is e oe of ieril ou is ceer of ss kg/ ; d α is e gulr ccelerio of e ody rd/s M jα 4

5 Te Lgrge Equios of Moio Aloug Newo s lws of oio for e fudel foudio for e sudy of ecicl syses, ey c e srigforwrdly used o derie e dyics of elecroecicl oio deices ecuse elecrogeic d circuiry rsies eior us e cosidered Tis es, e circui dyics us e icorpored o fid ugeed odels Tis c e perfored y iegrig orsiol-ecicl dyics d sesor/cuor circuiry equios, wic c e deried usig Kircoff s lws Lgrge cocep llows oe o iegre e dyics of ecicl d elecricl copoes I eploys e sclr cocep rer e ecor cocep used i Newo s lw of oio o lyze uc wider rge of syses F Wi Lgrge dyics, focus is o e eire syse rer idiidul copoes Γ, D, Π re e ol kieic, dissipio, d poeil eergies of e syse q i d Q i re e geerlized coordies d e geerlized pplied forces ipu d d dγ d q i dγ dqi dd d q i dπ dq i Q i 5

6 Elecricl d Mecicl Couerprs Eergy Mecicl Elecricl Kieic Mss / Ieri 05 / 05 jω Iducor 05 Li Poeil Griy: g Sprig: 05 k Cpcior 05 C Dissipie Dper / Fricio 05 B Resisor Ri 6

7 Meicl Model for Siple Pedulu Te kieic eergy of e pedulu o is : Γ Te poeil eergy is : Π g gl cosθ lθ y 0 T, θ l θ g y g cosθ 7

8 Elecricl Coersio Ipu Elecricl Eergy Oupu Mecicl Eergy Couplig Elecrogeic Field Irreersile Eergy Coersio Eergy Losses Eergy Trsfer i Elecroecicl Syses For roiol oio, of curre d gulr displcee, is : T Were W c e elecrogeic orque, ψdi; wereψ is e flu i e i, θ s fucio dw c i, θ dθ 8

9 Elecroecicl Alogies Fro Newo s lw or usig Lgrge equios of oios, e secodorder differeil equios of rsliol-dyics d orsioldyics re foud s j d d d θ d B B d d k s F dθ ksθ T d Trsliol dyics Torsiol dyics 9

10 For series RLC circui, fid e crcerisic equio d defie e lyicl reliosips ewee e crcerisic roos d circuiry preers d i R di d i d L d LC L d R s s 0 L LC Te crcerisic roos re s R L R L LC s R L R L LC 0

11 Resisce, R o Appied olge Curre i i Ri R i R

12 Iducce, L H Appied olge Curre i i i L L di 0 d d L

13 Cpcice, C F Appied olge Curre i i d C d i C d 0 i C 3

14 4 Trsliol Dper, B N-sec F d F B d d B B F F B B F F 0 Lier posiio /sec Lier elociy i Newo force Appied B

15 5 Trsliol Sprig, k N F s s s s d k F d df k d d F k k F F 0 Lier posiio /sec Lier elociy i Newo force Appied

16 6 Roiol Dper, B N--sec/rd F θ d T B d d B B T T B B T T 0 rd Agulr displcee rd/sec Agulr elociy N - Appied orque θ θ ω ω ω θ ω ω B

17 7 Roiol Sprig, k s N--sec/rd F θ s s s d k T d dt k d d T k B T T 0 rd Agulr displcee rd/sec Agulr elociy N - orque Appied ω θ ω θ θ θ ω ω k s

18 Mss Grouded, kg Appied orque T N - Lier elociy /sec Lier posiio F 0 d d F d d d F 8

19 Mss Grouded, kg Appied orque T N - Agulr elociy ω rd/sec Agulr displcee θ rd θ ω T ω J J dω d θ J d d 0 T d F 9

20 Sedy-Se Alysis Se: Te se of dyic syse is e slles se of riles clled se riles so e kowledge of ese riles 0, ogeer wi e kowledge of e ipu for 0, deeries e eior of e syse for y ie 0 Se Vriles: Te se riles of dyic syse re e riles kig up e slles se of riles deerie e se of e dyic syse Se Vecor: If se riles re eeded o descrie e eior of gie syse, e e se riles c e cosidered e copoes of ecor Suc ecor is clled se ecor Se Spce: Te -diesiol spce wose coordies es cosis of e is, is,, is, were,,, re se riles, is clled se spce Se-Spce Equios: I se-spce lysis we re cocered wi ree ypes of riles re ioled i e odelig of dyic syse: ipu riles, oupu riles, d se riles 0

21 Se Vriles of Dyic Syse 0 iiil codiio u Ipu Dyic Syse Se y Oupu Te se riles descrie e fuure respose of syse, gie e prese se, e eciio ipus, d e equios descriig e dyics

22 Elecricl Eple: A RLC Circui i c ξ C / Li / 0 C ; d d d c L i L C u i L c is e ol iiil eergy of e ework USE KCL e jucio 0 u C i C i L C L R

23 3 Te Se Differeil Equio Equio Bu Se Differeil A ẋ Du Oupu Equio C y u u d d u u u u u u Se Vecor D :direc rsissio ri C :Oupu ri; B :ipu ri A :Se ri;

24 4 Te Oupu Equio Equio Bu Se Differeil A ẋ Du Oupu Equio H y y y y y y y y H D :direc rsissio ri H :Oupu ri; B :ipu ri A :Se ri;

25 Eple : Cosider e gie series RLC circui Derie e differeil equios p e circuiry dyics dc C i d di L d dc i d C di d L c Ri Ri c V R i C L 5

26 6 Eple : Usig e se-spce cocep, fid e se-spce odel d lyze e rsie dyics of e series RLC circui Bu A L i L R L C d di d d d d d d d d i Ri L d di i C d d c c c c 0-0 e corol is Tese re e ses ;

27 Coiue wi Vlues Assue R o, L 0 H, d C 05 F, fid e followig coefficies Te iiil codiios re ssued o e c 0 c0 5 V; d I 0 i 0 5 A Le e olge cross e cpcior e e oupu; y c Te oupu equio will e Te epded oupu equio i y 0 A d B y i c [ 0] H ; H [ 0] y 0 i c [ 0] [ ] H Du Te circui respose depeds o e lue of 7

TEST-12 TOPIC : SHM and WAVES

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

More information

Physics 232 Exam I Feb. 14, 2005

Physics 232 Exam I Feb. 14, 2005 Phsics I Fe., 5 oc. ec # Ne..5 g ss is ched o hoizol spig d is eecuig siple hoic oio wih gul eloci o dissec. gie is i ie i is oud o e 8 c o he igh o he equiliiu posiio d oig o he le wih eloci o.5 sec..

More information

Physics 232 Exam I Feb. 13, 2006

Physics 232 Exam I Feb. 13, 2006 Phsics I Fe. 6 oc. ec # Ne..5 g ss is ched o hoizol spig d is eecuig siple hoic oio. The oio hs peiod o.59 secods. iiil ie i is oud o e 8.66 c o he igh o he equiliiu posiio d oig o he le wih eloci o sec.

More information

EE757 Numerical Techniques in Electromagnetics Lecture 9

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

More information

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

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

More information

Boundary Value Problems of Conformable. Fractional Differential Equation with Impulses

Boundary Value Problems of Conformable. Fractional Differential Equation with Impulses Applied Meicl Scieces Vol 2 28 o 8 377-397 HIKARI Ld www-irico ps://doiorg/2988/s28823 Boudry Vlue Probles of Coforble Frciol Differeil Equio wi Ipulses Arisr Tgvree Ci Tipryoo d Apisi Ppogpu Depre of

More information

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π Soluios Maual. (a) (b) (c) (d) (e) (f) (g) liear oliear liear liear oliear oliear liear. The Fourier Series is: F () 5si( ) ad he fudameal frequecy is ω f ----- H z.3 Sice V rms V ad f 6Hz, he Fourier

More information

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

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

More information

By Tom Irvine December 27,

By Tom Irvine December 27, THE STEADY-STATE VIBRATION RESPONSE OF A BAFFED PATE SIMPY-SUPPORTED ON A SIDES SUBJECTED TO RANDOM PRESSURE PANE WAVE EXCITATION AT OBIQUE INCIDENCE Revisi A By T Irvie Deceber 7, 04 Eil: @vibrid.c The

More information

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

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

More information

THE FORCED KORTEWEG DE VRIES EQUATION

THE FORCED KORTEWEG DE VRIES EQUATION THE FORCED ORTEWEG DE VRIES EQUATION 4. INTRODUCTION We flid flow is disred y sll p i c geere srfce wve. Te flow of flid over oscle is clssicl d fdel prole i flid ecics. I is well kow rscriicl flow over

More information

RESPONSE OF A RECTANGULAR PLATE TO BASE EXCITATION Revision E W( )

RESPONSE OF A RECTANGULAR PLATE TO BASE EXCITATION Revision E W( ) RESPONSE OF A RECTANGULAR PLATE TO BASE EXCITATION Revisio E B To Ivie Eil: o@viiod.co Apil, 3 Viles A pliude coefficie E k leg id ple siffess fco elsic odulus ple ickess veue ple ss edig oe,, u, v ode

More information

A new approach to Kudryashov s method for solving some nonlinear physical models

A new approach to Kudryashov s method for solving some nonlinear physical models Ieriol Jourl of Physicl Scieces Vol. 7() pp. 860-866 0 My 0 Avilble olie hp://www.cdeicourls.org/ijps DOI: 0.897/IJPS.07 ISS 99-90 0 Acdeic Jourls Full Legh Reserch Pper A ew pproch o Kudryshov s ehod

More information

Multifunctional Simulation Instrument for Control Systems Based on MATLAB GUI

Multifunctional Simulation Instrument for Control Systems Based on MATLAB GUI Sesors & rsducers, Vol. 2, Specil Issue, My 203, pp. 28-222 Sesors & rsducers 203 y IFSA hp://www.sesorsporl.co Mulifuciol Siulio Isrue for Corol Syses Bsed o MALAB GUI XING XUENING School of Elecricl

More information

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation.

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation. ecure Phys 375 Eergy Desiy / Eergy Flu / oal Eergy i D Overview ad Moivaio: Fro your sudy of waves i iroducory physics you should be aware ha waves ca raspor eergy fro oe place o aoher cosider he geeraio

More information

LEADER & ACHIEVER COURSE PHASE : MLA,MLB,MLC, MLD, MLE,MLF, MLG, MLH, MLI, MLJ, MAZA,MAZB & MAZC TARGET : PRE-MEDICAL 2016

LEADER & ACHIEVER COURSE PHASE : MLA,MLB,MLC, MLD, MLE,MLF, MLG, MLH, MLI, MLJ, MAZA,MAZB & MAZC TARGET : PRE-MEDICAL 2016 CSSRM CNTCT PRGRMME (cdeic Sessio : 05-06) EDER & CIEVER CURSE PSE : M,M,MC, MD, ME,MF, MG, M, MI, MJ, MZ,MZ & MZC Tes Type : MJR TRGET : PRE-MEDIC 06 Tes Per : IPMT TEST DTE : 07-04 - 06 TEST SYUS : SYUS

More information

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

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

More information

Fast Fourier Transform 1) Legendre s Interpolation 2) Vandermonde Matrix 3) Roots of Unity 4) Polynomial Evaluation

Fast Fourier Transform 1) Legendre s Interpolation 2) Vandermonde Matrix 3) Roots of Unity 4) Polynomial Evaluation Algorithm Desig d Alsis Victor Admchi CS 5-45 Sprig 4 Lecture 3 J 7, 4 Cregie Mello Uiversit Outlie Fst Fourier Trsform ) Legedre s Iterpoltio ) Vdermode Mtri 3) Roots of Uit 4) Polomil Evlutio Guss (777

More information

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

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

More information

Local Fractional Kernel Transform in Fractal Space and Its Applications

Local Fractional Kernel Transform in Fractal Space and Its Applications From he SelecedWorks of Xio-J Yg 22 Locl Frciol Kerel Trsform i Frcl Spce d Is Applicios Yg Xioj Aville : hps://works.epress.com/yg_ioj/3/ Advces i Compuiol Mhemics d is Applicios 86 Vol. No. 2 22 Copyrigh

More information

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

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

More information

Chapter 6 - Work and Energy

Chapter 6 - Work and Energy Caper 6 - Work ad Eergy Rosedo Pysics 1-B Eploraory Aciviy Usig your book or e iere aswer e ollowig quesios: How is work doe? Deie work, joule, eergy, poeial ad kieic eergy. How does e work doe o a objec

More information

Fundamentals of Automatics

Fundamentals of Automatics Fudel o Auoic Eerg Techologie Se. V Lecure Pr Se. -07/8 Hoei Ghei Hoei Ghei Dep. o Corol d Eerg Egieerig Fcul o Oce Eg. d Ship Techolog Gdńk Uiveri o Techolog Roo o. A WOiO Phoe.: 58 348 6053 e-il: ghei

More information

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

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

More information

ECE 636: Systems identification

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

More information

Reinforcement Learning

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

More information

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

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

More information

12 th Mathematics Objective Test Solutions

12 th Mathematics Objective Test Solutions Maemaics Objecive Tes Soluios Differeiaio & H.O.D A oes idividual is saisfied wi imself as muc as oer are saisfied wi im. Name: Roll. No. Bac [Moda/Tuesda] Maimum Time: 90 Miues [Eac rig aswer carries

More information

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

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

More information

Free Flapping Vibration of Rotating Inclined Euler Beams

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

More information

Parameter estimation methods for fault detection and isolation

Parameter estimation methods for fault detection and isolation rmeer esimio meods for ful deecio d isolio eres Escoe*, *UC, Uiversi oliècic de Clu Auomic Corol Deprme. Cmpus de errss. errss, Brcelo, Spi eres@eupm.upc.es Louise rvé-mssuès**, **LAAS-CNRS 7 Aveue du

More information

Name: Period: Date: 2.1 Rules of Exponents

Name: Period: Date: 2.1 Rules of Exponents SM NOTES Ne: Period: Dte:.1 Rules of Epoets The followig properties re true for ll rel ubers d b d ll itegers d, provided tht o deoitors re 0 d tht 0 0 is ot cosidered. 1 s epoet: 1 1 1 = e.g.) 7 = 7,

More information

Systematic and Optimal Design of CMOS Two-Stage Opamps with Hybrid Cascode Compensation

Systematic and Optimal Design of CMOS Two-Stage Opamps with Hybrid Cascode Compensation Sysemic d Opiml Desig of MOS Two-Sge Opmps wih Hybrid scode ompesio Mohmmd Yvri, Omid Shoei, d Agel Rodriguez-Vzquez* I Desig borory, EE Deprme, Uiversiy of Tehr, Tehr 14395-515, Ir * Isiue of Microelecroics

More information

Dynamic response under moving concentrated loads of non uniform rayleigh beam resting on pasternak foundation

Dynamic response under moving concentrated loads of non uniform rayleigh beam resting on pasternak foundation Avilble olie www.pelgireserchlibrry.co Pelgi Reserch ibrry Advces i Applied Sciece Reserch :-8 ISSN: 976-86 ODEN SA: AASRF Dyic respose uder ovig cocered lods o o uior ryleigh be resig o pser oudio P.

More information

DIFFERENCE EQUATIONS

DIFFERENCE EQUATIONS DIFFERECE EQUATIOS Lier Cos-Coeffiie Differee Eqios Differee Eqios I disree-ime ssems, esseil feres of ip d op sigls pper ol speifi iss of ime, d he m o e defied ewee disree ime seps or he m e os. These

More information

Appendix A Examples for Labs 1, 2, 3 1. FACTORING POLYNOMIALS

Appendix A Examples for Labs 1, 2, 3 1. FACTORING POLYNOMIALS Appedi A Emples for Ls,,. FACTORING POLYNOMIALS Tere re m stdrd metods of fctorig tt ou ve lered i previous courses. You will uild o tese fctorig metods i our preclculus course to ele ou to fctor epressios

More information

VARIATIONAL ITERATION METHOD (VIM) FOR SOLVING PARTIAL INTEGRO-DIFFERENTIAL EQUATIONS

VARIATIONAL ITERATION METHOD (VIM) FOR SOLVING PARTIAL INTEGRO-DIFFERENTIAL EQUATIONS Jourl of Theoreicl d Applied Iformio Techology h Jue 16. Vol.88. No. 5-16 JATIT & LLS. All righs reserved. ISSN: 199-8645 www.ji.org E-ISSN: 1817-195 VARIATIONAL ITERATION ETHOD VI FOR SOLVING PARTIAL

More information

Numerical Integration - (4.3)

Numerical Integration - (4.3) Numericl Itegrtio - (.). Te Degree of Accurcy of Qudrture Formul: Te degree of ccurcy of qudrture formul Qf is te lrgest positive iteger suc tt x k dx Qx k, k,,,...,. Exmple fxdx 9 f f,,. Fid te degree

More information

MATRIX ALGEBRA, Systems Linear Equations

MATRIX ALGEBRA, Systems Linear Equations MATRIX ALGEBRA, Systes Lier Equtios Now we chge to the LINEAR ALGEBRA perspective o vectors d trices to reforulte systes of lier equtios. If you fid the discussio i ters of geerl d gets lost i geerlity,

More information

Introduction to Modern Control Theory

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

More information

Remarks: (a) The Dirac delta is the function zero on the domain R {0}.

Remarks: (a) The Dirac delta is the function zero on the domain R {0}. Sectio Objective(s): The Dirc s Delt. Mi Properties. Applictios. The Impulse Respose Fuctio. 4.4.. The Dirc Delt. 4.4. Geerlized Sources Defiitio 4.4.. The Dirc delt geerlized fuctio is the limit δ(t)

More information

ON SOME FRACTIONAL PARABOLIC EQUATIONS DRIVEN BY FRACTIONAL GAUSSIAN NOISE

ON SOME FRACTIONAL PARABOLIC EQUATIONS DRIVEN BY FRACTIONAL GAUSSIAN NOISE IJRRAS 6 3) Februry www.rppress.com/volumes/vol6issue3/ijrras_6_3_.pdf ON SOME FRACIONAL ARABOLIC EQUAIONS RIVEN BY FRACIONAL GAUSSIAN NOISE Mhmoud M. El-Bori & hiri El-Sid El-Ndi Fculy of Sciece Alexdri

More information

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula NCTU Deprme o Elecrcl d Compuer Egeerg Seor Course By Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos A. Euler Formul B. Ruge-Ku Formul C. A Emple or Four-Order Ruge-Ku Formul

More information

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

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

More information

The evaluation of P, and T from these formulae indeed requires that the energy E be expressed as a function of the quantities N, V and S.

The evaluation of P, and T from these formulae indeed requires that the energy E be expressed as a function of the quantities N, V and S. d dq, dq d d d, d d d d, e evlutio of, d from tese formule ideed requires tt te eerg be epressed s fuctio of te qutities, d. f (,,) is sould, i priciple, be possible oce is kow s fuctio of, d. f (,, )

More information

Supplement: Gauss-Jordan Reduction

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

More information

The state space model needs 5 parameters, so it is not as convenient to use in this control study.

The state space model needs 5 parameters, so it is not as convenient to use in this control study. Trasfer fuctio for of the odel G θ K ω 2 θ / v θ / v ( s) = = 2 2 vi s + 2ζωs + ω The followig slides detail a derivatio of this aalog eter odel both as state space odel ad trasfer fuctio (TF) as show

More information

E will be denoted by n

E will be denoted by n JASEM ISSN 9-8362 All rigs reserved Full-ex Available Olie a p:// wwwbiolieorgbr/ja J Appl Sci Eviro Mg 25 Vol 9 3) 3-36 Corollabiliy ad Null Corollabiliy of Liear Syses * DAVIES, I; 2 JACKREECE, P Depare

More information

Electrical Engineering Department Network Lab.

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

More information

Fourier Series and Applications

Fourier Series and Applications 9/7/9 Fourier Series d Applictios Fuctios epsio is doe to uderstd the better i powers o etc. My iportt probles ivolvig prtil dieretil equtios c be solved provided give uctio c be epressed s iiite su o

More information

Chapter 10. Simple Harmonic Motion and Elasticity. Goals for Chapter 10

Chapter 10. Simple Harmonic Motion and Elasticity. Goals for Chapter 10 Chper 0 Siple Hronic Moion nd Elsiciy Gols or Chper 0 o ollow periodic oion o sudy o siple hronic oion. o sole equions o siple hronic oion. o use he pendulu s prooypicl syse undergoing siple hronic oion.

More information

Math 153: Lecture Notes For Chapter 1

Math 153: Lecture Notes For Chapter 1 Mth : Lecture Notes For Chpter Sectio.: Rel Nubers Additio d subtrctios : Se Sigs: Add Eples: = - - = - Diff. Sigs: Subtrct d put the sig of the uber with lrger bsolute vlue Eples: - = - = - Multiplictio

More information

On the convergence of the VHPM for the Zakharove-Kuznetsov equations

On the convergence of the VHPM for the Zakharove-Kuznetsov equations IJST ( A (Specil isse-mheics: 5-58 Iri Jorl of Sciece & Techology hp://wwwshirzcir/e O he covergece of he VHPM for he Zhrove-Kzesov eqios M Mifr* M Ghsei d M Seidy Depre of Mheics Fcly of Scieces Mzdr

More information

Forced Oscillation of Nonlinear Impulsive Hyperbolic Partial Differential Equation with Several Delays

Forced Oscillation of Nonlinear Impulsive Hyperbolic Partial Differential Equation with Several Delays Jourl of Applied Mhemics d Physics, 5, 3, 49-55 Published Olie November 5 i SciRes hp://wwwscirporg/ourl/mp hp://dxdoiorg/436/mp5375 Forced Oscillio of Nolier Impulsive Hyperbolic Pril Differeil Equio

More information

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

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

More information

LIMITS AND DERIVATIVES

LIMITS AND DERIVATIVES Capter LIMITS AND DERIVATIVES. Overview.. Limits of a fuctio Let f be a fuctio defied i a domai wic we take to be a iterval, say, I. We sall study te cocept of it of f at a poit a i I. We say f ( ) is

More information

Optimal Estimator for a Sample Set with Response Error. Ed Stanek

Optimal Estimator for a Sample Set with Response Error. Ed Stanek Optial Estiator for a Saple Set wit Respose Error Ed Staek Itroductio We develop a optial estiator siilar to te FP estiator wit respose error tat was cosidered i c08ed63doc Te first 6 pages of tis docuet

More information

4. Runge-Kutta Formula For Differential Equations

4. Runge-Kutta Formula For Differential Equations NCTU Deprme o Elecrcl d Compuer Egeerg 5 Sprg Course by Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos To solve e derel equos umerclly e mos useul ormul s clled Ruge-Ku ormul

More information

Solution: APPM 1360 Final Spring 2013

Solution: APPM 1360 Final Spring 2013 APPM 36 Fial Sprig 3. For this proble let the regio R be the regio eclosed by the curve y l( ) ad the lies, y, ad y. (a) (6 pts) Fid the area of the regio R. (b) (6 pts) Suppose the regio R is revolved

More information

Fractional-Order Control and Simulation of Wind Turbines with Full-Power Converters

Fractional-Order Control and Simulation of Wind Turbines with Full-Power Converters Frciol-Order Corol d Simulio of Wid Turbies wih Full-Power Coverers R. Melício d J. P. S. Clão Dep. of Elecromechicl Egieerig Uiversiy of Beir Ierior Covilh, Porugl ruimelicio@gmil.com; clo@ubi.p V. M.

More information

Outline. simplest HMM (1) simple HMMs? simplest HMM (2) Parameter estimation for discrete hidden Markov models

Outline. simplest HMM (1) simple HMMs? simplest HMM (2) Parameter estimation for discrete hidden Markov models Oulie Parameer esimaio for discree idde Markov models Juko Murakami () ad Tomas Taylor (2). Vicoria Uiversiy of Welligo 2. Arizoa Sae Uiversiy Descripio of simple idde Markov models Maximum likeliood esimae

More information

EE Midterm Test 1 - Solutions

EE Midterm Test 1 - Solutions EE35 - Midterm Test - Solutios Total Poits: 5+ 6 Bous Poits Time: hour. ( poits) Cosider the parallel itercoectio of the two causal systems, System ad System 2, show below. System x[] + y[] System 2 The

More information

Special Functions. Leon M. Hall. Professor of Mathematics University of Missouri-Rolla. Copyright c 1995 by Leon M. Hall. All rights reserved.

Special Functions. Leon M. Hall. Professor of Mathematics University of Missouri-Rolla. Copyright c 1995 by Leon M. Hall. All rights reserved. Specil Fucios Leo M. Hll Professor of Mhemics Uiversiy of Missouri-Roll Copyrigh c 995 y Leo M. Hll. All righs reserved. Chper 5. Orhogol Fucios 5.. Geerig Fucios Cosider fucio f of wo vriles, ( x,), d

More information

LIMITS AND DERIVATIVES NCERT

LIMITS AND DERIVATIVES NCERT . Overview.. Limits of a fuctio Let f be a fuctio defied i a domai wic we take to be a iterval, say, I. We sall study te cocept of it of f at a poit a i I. We say f ( ) is te epected value of f at a give

More information

Robust Dynamic Output Feedback Second-Order Sliding Mode Controller for Uncertain Systems

Robust Dynamic Output Feedback Second-Order Sliding Mode Controller for Uncertain Systems Ieraioal Joural of Corol, Auoaio, ad Syses (3 (5:878-884 DOI.7/s555--7-9 ISSN:598-6446 eissn:5-49 hp://www.spriger.co/555 Robus Dyaic Oupu Feedbac Secod-Order Slidig Mode Coroller for cerai Syses Jeag-Li

More information

ALGEBRA II CHAPTER 7 NOTES. Name

ALGEBRA II CHAPTER 7 NOTES. Name ALGEBRA II CHAPTER 7 NOTES Ne Algebr II 7. th Roots d Rtiol Expoets Tody I evlutig th roots of rel ubers usig both rdicl d rtiol expoet ottio. I successful tody whe I c evlute th roots. It is iportt for

More information

Unit 1 Chapter-3 Partial Fractions, Algebraic Relationships, Surds, Indices, Logarithms

Unit 1 Chapter-3 Partial Fractions, Algebraic Relationships, Surds, Indices, Logarithms Uit Chpter- Prtil Frctios, Algeric Reltioships, Surds, Idices, Logriths. Prtil Frctios: A frctio of the for 7 where the degree of the uertor is less th the degree of the deoitor is referred to s proper

More information

Chemistry 1B, Fall 2016 Topics 21-22

Chemistry 1B, Fall 2016 Topics 21-22 Cheisry B, Fall 6 Topics - STRUCTURE ad DYNAMICS Cheisry B Fall 6 Cheisry B so far: STRUCTURE of aos ad olecules Topics - Cheical Kieics Cheisry B ow: DYNAMICS cheical kieics herodyaics (che C, 6B) ad

More information

Extension of Hardy Inequality on Weighted Sequence Spaces

Extension of Hardy Inequality on Weighted Sequence Spaces Jourl of Scieces Islic Reublic of Ir 20(2): 59-66 (2009) Uiversiy of ehr ISS 06-04 h://sciecesucir Eesio of Hrdy Iequliy o Weighed Sequece Sces R Lshriour d D Foroui 2 Dere of Mheics Fculy of Mheics Uiversiy

More information

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

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

More information

Graphing Review Part 3: Polynomials

Graphing Review Part 3: Polynomials Grphig Review Prt : Polomils Prbols Recll, tht the grph of f ( ) is prbol. It is eve fuctio, hece it is smmetric bout the bout the -is. This mes tht f ( ) f ( ). Its grph is show below. The poit ( 0,0)

More information

ECE 570 Session 7 IC 752-E Computer Aided Engineering for Integrated Circuits. Transient analysis. Discuss time marching methods used in SPICE

ECE 570 Session 7 IC 752-E Computer Aided Engineering for Integrated Circuits. Transient analysis. Discuss time marching methods used in SPICE ECE 570 Sessio 7 IC 75-E Compuer Aided Egieerig for Iegraed Circuis Trasie aalysis Discuss ime marcig meods used i SPICE. Time marcig meods. Explici ad implici iegraio meods 3. Implici meods used i circui

More information

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis Joural of aerials Sciece ad Egieerig B 5 (7-8 (5 - doi: 765/6-6/57-8 D DAVID PUBLISHING Opimizaio of Roaig achies Vibraios Limis by he Sprig - ass Sysem Aalysis BENDJAIA Belacem sila, Algéria Absrac: The

More information

SHOCK AND VIBRATION RESPONSE SPECTRA COURSE Unit 21 Base Excitation Shock: Classical Pulse

SHOCK AND VIBRATION RESPONSE SPECTRA COURSE Unit 21 Base Excitation Shock: Classical Pulse SHOCK AND VIBRAION RESPONSE SPECRA COURSE Ui 1 Base Exciaio Shock: Classical Pulse By om Irvie Email: omirvie@aol.com Iroucio Cosier a srucure subjece o a base exciaio shock pulse. Base exciaio is also

More information

Bifurcations of fractional-order diffusionless Lorenz system

Bifurcations of fractional-order diffusionless Lorenz system Bifurcios of frciol-order diffusioless Lore ssem Keui Su * J. C. Sro Scool of Psics Sciece d Tecolog Cerl Sou Uiversi Cgs 483 Ci Derme of Psics Uiversi of Wiscosi-Mdiso Mdiso WI 5376 USA Asrc Usig e redicor-correcor

More information

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar Ieraioal Joural of Scieific ad Research Publicaios, Volue 2, Issue 7, July 22 ISSN 225-353 EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D S Palikar Depare of Maheaics, Vasarao Naik College, Naded

More information

A Kalman filtering simulation

A Kalman filtering simulation A Klmn filering simulion The performnce of Klmn filering hs been esed on he bsis of wo differen dynmicl models, ssuming eiher moion wih consn elociy or wih consn ccelerion. The former is epeced o beer

More information

Module 4. Signal Representation and Baseband Processing. Version 2 ECE IIT, Kharagpur

Module 4. Signal Representation and Baseband Processing. Version 2 ECE IIT, Kharagpur Module 4 Sigl Represettio d Bsed Processig Versio ECE IIT, Khrgpur Lesso 5 Orthogolity Versio ECE IIT, Khrgpur Ater redig this lesso, you will ler out Bsic cocept o orthogolity d orthoormlity; Strum -

More information

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition LINEARIZING AND APPROXIMATING THE RBC MODEL SEPTEMBER 7, 200 For f( x, y, z ), mulivariable Taylor liear expasio aroud ( x, yz, ) f ( x, y, z) f( x, y, z) + f ( x, y, z)( x x) + f ( x, y, z)( y y) + f

More information

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

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

More information

ECE-314 Fall 2012 Review Questions

ECE-314 Fall 2012 Review Questions ECE-34 Fall 0 Review Quesios. A liear ime-ivaria sysem has he ipu-oupu characerisics show i he firs row of he diagram below. Deermie he oupu for he ipu show o he secod row of he diagram. Jusify your aswer.

More information

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

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

More information

15/03/1439. Lecture 4: Linear Time Invariant (LTI) systems

15/03/1439. Lecture 4: Linear Time Invariant (LTI) systems Lecre 4: Liner Time Invrin LTI sysems 2. Liner sysems, Convolion 3 lecres: Implse response, inp signls s coninm of implses. Convolion, discree-ime nd coninos-ime. LTI sysems nd convolion Specific objecives

More information

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

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

More information

Interpolation. 1. What is interpolation?

Interpolation. 1. What is interpolation? Iterpoltio. Wht is iterpoltio? A uctio is ote give ol t discrete poits such s:.... How does oe id the vlue o t other vlue o? Well cotiuous uctio m e used to represet the + dt vlues with pssig through the

More information

MODERN CONTROL SYSTEMS

MODERN CONTROL SYSTEMS MODERN CONTROL SYSTEMS Lecure 9, Sae Space Repreeaio Emam Fahy Deparme of Elecrical ad Corol Egieerig email: emfmz@aa.edu hp://www.aa.edu/cv.php?dip_ui=346&er=6855 Trafer Fucio Limiaio TF = O/P I/P ZIC

More information

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

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

More information

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences A Uiversity of Califoria at Berkeley College of Egieerig Departmet of Electrical Egieerig ad Computer Scieces U N I V E R S T H E I T Y O F LE T TH E R E B E LI G H T C A L I F O R N 8 6 8 I A EECS : Sigals

More information

RATE LAWS AND STOICHIOMETRY (3) Marcel Lacroix Université de Sherbrooke

RATE LAWS AND STOICHIOMETRY (3) Marcel Lacroix Université de Sherbrooke RE LWS D SOIHIOMERY (3 Marcel Lacroix Uniersité de Sherbrooke RE LWS D SOIHIOMERY: RELIOSHIS EWEE j D HUS R, WE HE SEE H I IS OSSILE O SIZE IDEL REORS I HE RE EQUIO IS KOW S UIO O OERSIO,i.e., r g( M.

More information

Chapter 2. Foundations of quantum mechanics

Chapter 2. Foundations of quantum mechanics I. Basics Caper. Fouaios of uau ecaics Eac observable correspos i uau ecaics o a operaor, wic represes a aeaical operaio. Exaples: ˆ f ˆ f f f Soe ipora operaors i e cooriae represeaio: Cooriae operaor:

More information

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations ECE-S352 Itroductio to Digital Sigal Processig Lecture 3A Direct Solutio of Differece Equatios Discrete Time Systems Described by Differece Equatios Uit impulse (sample) respose h() of a DT system allows

More information

THE GENERATION OF THE CURVED SPUR GEARS TOOTHING

THE GENERATION OF THE CURVED SPUR GEARS TOOTHING 5 INTERNATIONAL MEETING OF THE CARPATHIAN REGION SPECIALISTS IN THE FIELD OF GEARS THE GENERATION OF THE CURVED SPUR GEARS TOOTHING Boja Şefa, Sucală Felicia, Căilă Aurica, Tăaru Ovidiu Uiversiaea Teică

More information

Experiment 6: Fourier Series

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

More information

CONTROL SYSTEMS. Chapter 3 : Time Response Analysis

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

More information

International Journal of Computer Sciences and Engineering. Research Paper Volume-6, Issue-1 E-ISSN:

International Journal of Computer Sciences and Engineering. Research Paper Volume-6, Issue-1 E-ISSN: Ieriol Jourl of Compuer Scieces d Egieerig Ope ccess Reserch Pper Volume-6, Issue- E-ISSN: 47-69 pplicios of he boodh Trsform d he Homoopy Perurbio Mehod o he Nolier Oscillors P.K. Ber *, S.K. Ds, P. Ber

More information

Cape Cod Community College

Cape Cod Community College Cpe Cod Couity College Deprtetl Syllus Prepred y the Deprtet of Mthetics Dte of Deprtetl Approvl: Noveer, 006 Dte pproved y Curriculu d Progrs: Jury 9, 007 Effective: Fll 007 1. Course Nuer: MAT110 Course

More information

THE GENERALIZED WARING PROCESS

THE GENERALIZED WARING PROCESS THE GENERALIZED WARING PROCESS Mioz Zogrfi d Evdoki Xeklki Depre of Sisics Ahes Uiversiy of Ecooics d Busiess 76 Pisio s., 434, Ahes, GREECE The Geerlized Wrig Disribuio is discree disribuio wih wide specru

More information

Spectral Simulation of Turbulence. and Tracking of Small Particles

Spectral Simulation of Turbulence. and Tracking of Small Particles Specra Siuaio of Turbuece ad Trackig of Sa Parices Hoogeeous Turbuece Saisica ie average properies RMS veociy fucuaios dissipaio rae are idepede of posiio. Hoogeeous urbuece ca be odeed wih radoy sirred

More information

Schrödinger Equation Via Laplace-Beltrami Operator

Schrödinger Equation Via Laplace-Beltrami Operator IOSR Jourl of Mthemtics (IOSR-JM) e-issn: 78-578, p-issn: 39-765X. Volume 3, Issue 6 Ver. III (Nov. - Dec. 7), PP 9-95 www.iosrjourls.org Schrödiger Equtio Vi Lplce-Beltrmi Opertor Esi İ Eskitşçioğlu,

More information

6.003: Signals and Systems. Feedback, Poles, and Fundamental Modes

6.003: Signals and Systems. Feedback, Poles, and Fundamental Modes 6.003: Sigals ad Systems Feedback, Poles, ad Fudametal Modes February 9, 2010 Last Time: Multiple Represetatios of DT Systems Verbal descriptios: preserve the ratioale. To reduce the umber of bits eeded

More information