Exclusive Technology Feature. Current-Loop Control In Switching Converters Part 6: Slope Compensation. Slope Compensation. ISSUE: February 2012

Size: px
Start display at page:

Download "Exclusive Technology Feature. Current-Loop Control In Switching Converters Part 6: Slope Compensation. Slope Compensation. ISSUE: February 2012"

Transcription

1 : Fbruary Currn-oop Conro n wchng Convrr Par 6: op Copnaon By nn Fuch, nnovaa aboraor, Cayo, B h a nan of h arc prnd a rfnd od of currn-od conro ha provd a dpr unfcaon of h qua-ac or ow-frquncy currn-oop bhavor wh h apng apc by drvng h dynac quaon for ranfr funcon fro h avrag currn varab rahr han h vay currn Hr n par 6 of h r, h ffc of op copnaon ncudd n h rfnd od pcfcay, w anay h pac of hr dffrn op-copnaon ch on h rfnd od, nong ar and dffrnc n h y wavfor quaon W ao no how h rfnd od wh op copnaon copar o arr od of currn-od conro Fnay, w xan h pcaon of h anay n r of abhng gudn for convrr dgn ha nur oop aby op Copnaon op copnaon a dynac copnaon chnqu by whch h op of h fdbac nducor currn odfd by h addon of a rap o ru n h nd currn n h con, h ncrna oupu varab xprd a, o ncud h op-copnaon funcon, h op-copnad wavfor npu o h PWM crcu a h nd currn,, a hown n h boc dagra op copnaon ch dffr n how addd o and h uaon rqur an addona ung boc, a hown n h ch of h dagra, h uaon occur whn h forward pah wh h rror quany C and h copnaon funcon, ; C h wo ohr pob ocaon for h uaon of ar n h npu pah and n h fdbac pah For h npu pah, h npu, ffcvy bco : A ur n h fdbac pah ubrac fro hn h copnad rror quany,, h nd fdbac currn ubracd fro h npu o for h rror quany: HowPowr A rgh rrvd Pag of 3

2 Bcau addon aocav and couav, and wh no addona procng bwn uaon, h hr an of cobnng h hr quan coprng ar quvan Conquny, w can condr h ffc of o b ha of an addon o h coandd npu, houd hrfor b pob o ubu no h uncopnad cod-oop for and drv h copnad nducor-currn wavfor quaon hough vnuay w wan h ncrna od a hown n h boc dagra, h drvaon bgn wh h oa varab By addng h oa a a copnang wavfor o h oop rror, h cau o b ard, a vau ach cyc drnd by h F boc F conan no ony h coparaor apng funcon f abd PWM bu ao a ung boc prcdng whch oupu h nd wavfor, op copnaon affc h nd wavfor a an addon o h rror quany, C h nd currn C h rung G h uncopnad cod-oop wavfor quaon of and ar affcd by op copnaon n ha now drnd by F Howvr, h op of ran h uncopnad op bcau hy ar drnd by convrr crcu parar, no by F h op and off of aon ar odfd by h forward-pah rananc, G, howvr, an ncrna ranfr funcon and h oa-varab / nonnar and can vary bwn on- and off- of h cyc h copca h drnaon of F n ha u b nard G d arady nar h corrc vau for a nard F addrd n a ar con By ubung for no h uncopnad cod-oop quaon, h copnad quaon for ru; G G G G G G whr G/ G h unfd-od uncopnad cod-oop ranfr funcon of / h copnad hrfor h uncopnad wh h addd rpon o op copnaon,, by h a oop Rurnng o h oa varab and ubung no h uncopnad dcr- wh a addona npu, Whn an xpron for ubud, w f conan ncud and r, whch odfy h coffcn of h nd currn can b xprd or gnray n ady-a by appyng h op quaon; h apng nan a whn h cyc or n oa drnd by F accordng o h conro aw: h gnra for of dcrbng h apng vn of cyc HowPowr A rgh rrvd Pag of 3

3 HowPowr A rgh rrvd Pag 3 of 3 whr h quaon dcrb h nd currn a h apng, h aby of w, of cour, affc oop aby bcau drn oop aby anay hrfor can b an anay of h aby of h conro aw,, drn and can b ovd for whn ubud no Rurnng o h gnra quaon for, h xpron n ha h for of C xcp ha of h prvou cyc For ady-a opraon, h wavfor ab and ubung fro h op quaon for, hn -a ady off V h uua hod of anay drv h oa cod-oop wavfor quaon fro h wavfor gory undr ady-a rpon, and hn dffrna or prurb h o produc h ncrna quaon h approach an hr wh dncon anand bwn and and wh h addona donraon ha h wavfor quaon ar quvan o h uncopnad quaon wh h addon of o, hu ocang op copnaon n h od o F h oa-varab vay-currn wavfor w b drvd for copn and ud o how h ocaaon of o F h oa and ncrna vay-currn wavfor quaon w b hown o b quvan for h gvn op-copnaon ch wh dffr wh h avrag-currn wavfor ar ao drvd op w b hd conan for h anay Fr op-copnaon ch o h oa-varab oop rror C addd a ngav-op copnaon rap of op whr c, and a wchng h op,, ran unchangd by op copnaon and a h nd of h off-, For h up-op gn, h op of ran h unard and h conro-aw quaon A h apng pon, h nducor-currn pa vau ovng for,

4 HowPowr A rgh rrvd Pag 4 of 3 ubung h no, ubung h pa vau no h off- quaon, h rung copnad oa vay nducor currn Coparng h op-copnad o h uncopnad, wha ha changd ar h coffcn whch con of op xpron woud appar ha ha caud o hav changd op bu h woud b a adng nrpraon of h copnad xpron A ha copnaon ha affcd a chang n a xprd n op h convrr crcu parar hav no changd and hy drn op h dcr- coffcn ar rao of op and ar dpndn ony on Conquny, houd b pob o xpr n obrvab crcu op, odfd ony by h nroducon of a h oop npu o how ha h oa can b wrn wh ocaaon of a addd o, ar wh h uncopnad and add o : ubung for, h bco ubung h ohr of h wo uncopnad wavfor quan, hn

5 HowPowr A rgh rrvd Pag 5 of 3 Afr o agbra, h rduc o h a a drvd abov Conquny, h ffc of copnaon n h wavfor quaon can b ocad o h npu rror ur a addd o n h gnra uncopnad wavfor quaon h op xpron can b rpacd by h pr duy-rao xpron for ady-a wavfor conan fro charg baanc Appyng h wavfor quaon of for ady-a rpon, off on h foowng convron forua appy o a a hr ch fa ou of h conran: ubung fro h xpron, h oa op-copnad vay nducor currn n n, h quaon h a a for h uncopnad wavfor Ony whn h coffcn ar xprd n op hr a dffrnc Conquny, h ffc of op copnaon nry conand whn ffc on op copnaon odf h unodfd wavfor by addng o a copnaon rap o ha h nd addon ru n h drd h odfd op of affc how drnd wh h nducor-currn wavfor connu o b dcrbd by h a quaon n ubung no, h oa quaon for a h nd of h cyc h pf o h ha h a for a h gnra bu wh dffrn op xpron f wrn n, howvr, Whn ubud n h gnra wrn n, h ru h a op copnaon chang h op-rao coffcn a dd for, and hy ar h a n a h uncopnad rao h conan r, whch rad o, ran unchangd ang h dffrna of h oa currn, h copnad ncrna vay nducor currn

6 HowPowr A rgh rrvd Pag 6 of 3 h uncopnad ncrna vay currn, affcd ony by an addon o of : h ncrna a funcon of h uncopnad d, d h uncopnad d ud n bcau h d conn wh h uncopnad h ffc of o odfy h uncopnad wavfor quaon by ffc on h uncopnad oop ubung d, d ubung no h uncopnad and pfyng, h a ncrna ru a drvd abov fro h copnad oa-varab xpron for h ncrna can b found by ang h dffrna of h oa ; h can b corroborad wh h ocaaon propry by ubung havng h uncopnad d no hn Cocng r, h ru quvan o h prvou quaon:

7 HowPowr A rgh rrvd Pag 7 of 3 For avrag oa nducor currn, h dcr- or ubung for fro h gnra wavfor quaon n coffcn and rducng, ndr ady-a opraon and wh conan op, h cyc vay currn vau ar V hn V V whr h avrag ovr a cyc A ngav ha h ffc of rducng and caung o b han ha of h uncopnad oop h ncrna of h uncopnad ady-a wavfor By ubung, no d wh conan convrr npu and oupu voag whrby v OFF V off, hn / V v d off OFF ubung d no,

8 HowPowr A rgh rrvd Pag 8 of 3 d Wh addd o, bco ubung for and afr o agbra, h rduc o a cond-ordr dffrnc quaon: cond op-copnaon ch For h cond ch, copnang op,, addd o boh up-op and down-op gn of h oop rror h accophd by ubracng fro h a copnang rap a n h fr ch, h ru hn ubracd fro, o ha C h quvan o h fr ch, hough pa a wh h on- op of pr bcau of addon of h wo ffc canc, rung n h a h wavfor quaon ar drvd fro h wavfor gory A h ap, hn h dnca o h fr ch urng h off-, connu o hav addd o h op, and a, ubung for and pfyng,

9 HowPowr A rgh rrvd Pag 9 of 3 Copard o h fr ch, h wo xpron for ar qua n h fr ch, copard o wh n h cond ch, hy ar cobnd bfor bng copard o ro Y h dynac of h cobnaon of a hr wavfor ha drn h aby of and h vau of, whhr hy ar addd bfor or a h npu of h coparaor h coparaor rpond o h dffrnc bwn npu, and ha conu h copon of h uaon n n h fr ch, hr no ng crcu wavfor a n h cond, hough can b rgardd a xng a h coparaor npu h abracd and no hr coparaor npu wavfor ha rvan o h anay of h fr ch and whch a quvan o h cond ch h coparaor oupu h gn or poary of h coparaor opraon of h PWM boc ar quvan bwn ch ovng for by ubung h a a n h fr ch no h a uncopnad quaon produc h a ru: h avrag nducor currn for h cond copnaon ch h a a h fr; h wavfor quaon ar dnca and h avrag currn u ao b h a ndr ady-a opraon, V and V V hn ang h ady-a avrag currn fro h fr ch and dvopng furhr by ubung V, V h quaon for and u b h a a ho of h fr ch bcau h wavfor and avragng quaon fro whch hy ar drvd ar h a hrd op-copnaon ch h hrd ch found n Rdy and hhan dffr fro h prvou ch n ha h copnang rap non-ro ony durng h on- Whn a cyc,, h nd currn a h ap pon hn and ov for ; h quaon h a a for h fr wo ch a u b; h condon durng on- ar h a h nducor currn w hrfor hav h a wavfor quaon a h prvou ch:

10 HowPowr A rgh rrvd Pag of 3 Bcau h op copnaon dffrn, dffr fro h prvou ch For h off- gn, ubung no h nd currn, vau a h nd of h cyc h bco h nd vay currn; h nd vay currn ha h a for a of h prvou ch bu h op-rao coffcn ar no h a n ady-a, and h op rao ar rad o by h foowng forua: hn n, h ady-a h a a h prvou ch h avrag nducor currn quaon h a a for h prvou ch, hough can arnavy b drvd for h hrd ch fro afr nad h quaon do no ncud hough h ffc of on ar pc n ncrna Avrag nducor Currn Wh op Copnaon h oa and ncrna wavfor quaon for h hr op-copnaon ch condrd ar quvan whhr h coffcn ar xprd a op rao or duy-rao hu h nducor currn quaon ndpndn of op copnaon ch, and ary, h ncrna ndpndn of op-copnaon ch and

11 HowPowr A rgh rrvd Pag of 3 h -ranfor of xprd a a vay-currn-gan ranfr funcon n h -doan, CV and ab whn / < or < ½ h h cod-oop quaon of h apd-oop od of Rdy quvan o ha of h unfd od of an whch ap concdn wh h currn-oop ranfr funcon ffcvy h a a ha ud n h unfd od of an bad on h a wavfor dffrnc quaon and conquny hr a dcrpancy n h od bwn vay-currn apng and avrag-currn drvaon of F h ru n a od ha do no fuy unfy h avrag currn wh h apng ffc of h apd-oop od h rfnd od ap o a a fu unfcaon by drvng F a a conqunc of ung avrag n h wavfor quaon of h currn-oop ranfr funcon h nd currn,, h a for h fr and cond ch and dffr fro h hrd ch ony n how op rao ar rad o xprd n, hy ar quvan: h dffrnc quaon dpndn on and ndpndn of copnaon ch; h cond-ordr quaon n h -doan can b wrn a h cod-oop ranfr funcon,

12 HowPowr A rgh rrvd Pag of 3 ng A/, h rduc o C : C n norad for, h frquny-occurrng and h pa-o-pa PWM currn rap h condon ofn chon for opa dynac rpon whch ru n h abov xpron rducd o n h raur, h pron o gvn ha can xcd 5 n a ab oop bcau of Howvr, h ffc of o rduc h vau of o ha whn h ab nrva Conquny, h drc hod of oop copnaon o dgn h oop o opra whn an accpab rpon rang of by cng urn rao and ohr rvan parar o p whn accpab dynac-rpon bound Howvr, ao ha an ffc on F and hu frquncy rpon, bu h affc connuou-fdbac aby nvovng oop gan and no h aby rad o dcr- ffc n h nx and fna con of h arc, par 7, w w rurn o a coparon of h poran PWM facor, F n h currn oop and how ha h rfnd od copab wh h ajor xng od whn rducd o accooda hr ng aupon Fnay, w cop h nghy proc of odng h currn-oop wh h rgng of wavfor-bad and crcu-bad odng Abou h Auhor nn Fuch ha bn nvovd n powr cronc for 5 yar, dgnng oordrv and powr convrr H ha an nrun bacground fro ronx, whr h dgnd and aurn qupn and dd rarch n ab H ha ay bn dong currn-oop convrr odng and convrr opaon

13 For or on currn-od conro hod, h HowPowr gn Gud, c h Advancd arch opon, go o arch by gn Gud Cagory, and c Conro Mhod n h gn Ara cagory HowPowr A rgh rrvd Pag 3 of 3

Problem 1: Consider the following stationary data generation process for a random variable y t. e t ~ N(0,1) i.i.d.

Problem 1: Consider the following stationary data generation process for a random variable y t. e t ~ N(0,1) i.i.d. A/CN C m Sr Anal Profor Òcar Jordà Wnr conomc.c. Dav POBLM S SOLIONS Par I Analcal Quon Problm : Condr h followng aonar daa gnraon proc for a random varabl - N..d. wh < and N -. a Oban h populaon man varanc

More information

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns Summary: Solvng a Homognous Sysm of Two Lnar Frs Ordr Equaons n Two Unknowns Gvn: A Frs fnd h wo gnvalus, r, and hr rspcv corrspondng gnvcors, k, of h coffcn mar A Dpndng on h gnvalus and gnvcors, h gnral

More information

Some Transcendental Elements in Positive Characteristic

Some Transcendental Elements in Positive Characteristic R ESERCH RTICE Scnca 6 ( : 39-48 So Trancndna En n Pov Characrc Vchan aohaoo Kanna Kongaorn and Pachara Ubor Darn of ahac Kaar Unvry Bango 9 Thaand Rcvd S 999 ccd 7 Nov 999 BSTRCT Fv rancndna n n funcon

More information

Consider a system of 2 simultaneous first order linear equations

Consider a system of 2 simultaneous first order linear equations Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm

More information

NAME: ANSWER KEY DATE: PERIOD. DIRECTIONS: MULTIPLE CHOICE. Choose the letter of the correct answer.

NAME: ANSWER KEY DATE: PERIOD. DIRECTIONS: MULTIPLE CHOICE. Choose the letter of the correct answer. R A T T L E R S S L U G S NAME: ANSWER KEY DATE: PERIOD PREAP PHYSICS REIEW TWO KINEMATICS / GRAPHING FORM A DIRECTIONS: MULTIPLE CHOICE. Chs h r f h rr answr. Us h fgur bw answr qusns 1 and 2. 0 10 20

More information

Neutron electric dipole moment on the lattice

Neutron electric dipole moment on the lattice ron lcrc dol on on h lac go Shnan Unv. of Tkba 3/6/006 ron lcrc dol on fro lac QCD Inrodcon arar Boh h ha of CKM arx and QCD vac ffc conrb o CP volaon P and T volaon arar. CP odd QCD 4 L arg d CKM f f

More information

Advanced Queueing Theory. M/G/1 Queueing Systems

Advanced Queueing Theory. M/G/1 Queueing Systems Advand Quung Thory Ths slds ar rad by Dr. Yh Huang of Gorg Mason Unvrsy. Sudns rgsrd n Dr. Huang's ourss a GMU an ma a sngl mahn-radabl opy and prn a sngl opy of ah sld for hr own rfrn, so long as ah sld

More information

The Variance-Covariance Matrix

The Variance-Covariance Matrix Th Varanc-Covaranc Marx Our bggs a so-ar has bn ng a lnar uncon o a s o daa by mnmzng h las squars drncs rom h o h daa wh mnsarch. Whn analyzng non-lnar daa you hav o us a program l Malab as many yps o

More information

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions Engnrng rcu naly 8h Eon hapr Nn Exrc Soluon. = KΩ, = µf, an uch ha h crcu rpon oramp. a For Sourc-fr paralll crcu: For oramp or b H 9V, V / hoo = H.7.8 ra / 5..7..9 9V 9..9..9 5.75,.5 5.75.5..9 . = nh,

More information

PWM-Scheme and Current ripple of Switching Power Amplifiers

PWM-Scheme and Current ripple of Switching Power Amplifiers axon oor PWM-Sch and Currn rippl of Swiching Powr Aplifir Abrac In hi work currn rippl caud by wiching powr aplifir i analyd for h convnional PWM (pulwidh odulaion) ch and hr-lvl PWM-ch. Siplifid odl for

More information

CIVL 8/ D Boundary Value Problems - Triangular Elements (T6) 1/8

CIVL 8/ D Boundary Value Problems - Triangular Elements (T6) 1/8 CIVL 8/7 -D Boundar Valu Problm - rangular Elmn () /8 SI-ODE RIAGULAR ELEMES () A quadracall nrpolad rangular lmn dfnd b nod, hr a h vrc and hr a h mddl a ach d. h mddl nod, dpndng on locaon, ma dfn a

More information

Frequency Response. Response of an LTI System to Eigenfunction

Frequency Response. Response of an LTI System to Eigenfunction Frquncy Rsons Las m w Rvsd formal dfnons of lnary and m-nvaranc Found an gnfuncon for lnar m-nvaran sysms Found h frquncy rsons of a lnar sysm o gnfuncon nu Found h frquncy rsons for cascad, fdbac, dffrnc

More information

Final Exam : Solutions

Final Exam : Solutions Comp : Algorihm and Daa Srucur Final Exam : Soluion. Rcuriv Algorihm. (a) To bgin ind h mdian o {x, x,... x n }. Sinc vry numbr xcp on in h inrval [0, n] appar xacly onc in h li, w hav ha h mdian mu b

More information

Chapter 13 Laplace Transform Analysis

Chapter 13 Laplace Transform Analysis Chapr aplac Tranorm naly Chapr : Ouln aplac ranorm aplac Tranorm -doman phaor analy: x X σ m co ω φ x X X m φ x aplac ranorm: [ o ] d o d < aplac Tranorm Thr condon Unlaral on-dd aplac ranorm: aplac ranorm

More information

Problem analysis in MW frequency control of an Interconnected Power system using sampled data technique

Problem analysis in MW frequency control of an Interconnected Power system using sampled data technique Inrnaonal Journal o La rnd n Engnrng and chnology IJLE robl analy n MW rquncy conrol o an Inrconncd owr y ung apld daa chnqu payan Guha parn o Elcrcal Engnrng Fnal Yar M.ch Sudn, Aanol Engnrng Collg, Aanol,

More information

Conventional Hot-Wire Anemometer

Conventional Hot-Wire Anemometer Convnonal Ho-Wr Anmomr cro Ho Wr Avanag much mallr prob z mm o µm br paal roluon array o h nor hghr rquncy rpon lowr co prormanc/co abrcaon roc I µm lghly op p layr 8µm havly boron op ch op layr abrcaon

More information

Part 3 System Identification

Part 3 System Identification 2.6 Sy Idnificaion, Eiaion, and Larning Lcur o o. 5 Apri 2, 26 Par 3 Sy Idnificaion Prpci of Sy Idnificaion Tory u Tru Proc S y Exprin Dign Daa S Z { u, y } Conincy Mod S arg inv θ θ ˆ M θ ~ θ? Ky Quion:

More information

2. The Laplace Transform

2. The Laplace Transform Th aac Tranorm Inroucion Th aac ranorm i a unamna an vry uu oo or uying many nginring robm To in h aac ranorm w conir a comx variab σ, whr σ i h ra ar an i h imaginary ar or ix vau o σ an w viw a a oin

More information

4.8 Huffman Codes. Wordle. Encoding Text. Encoding Text. Prefix Codes. Encoding Text

4.8 Huffman Codes. Wordle. Encoding Text. Encoding Text. Prefix Codes. Encoding Text 2/26/2 Word A word a word coag. A word contrctd ot of on of th ntrctor ar: 4.8 Hffan Cod word contrctd ng th java at at word.nt word a randozd grdy agorth to ov th ackng rob Encodng Txt Q. Gvn a txt that

More information

9. Simple Rules for Monetary Policy

9. Simple Rules for Monetary Policy 9. Smpl Ruls for Monar Polc John B. Talor, Ma 0, 03 Woodford, AR 00 ovrvw papr Purpos s o consdr o wha xn hs prscrpon rsmbls h sor of polc ha conomc hor would rcommnd Bu frs, l s rvw how hs sor of polc

More information

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University Lcur 4 : Bacpropagaon Algorhm Pro. Sul Jung Inllgn Sm and moonal ngnrng Laboraor Chungnam Naonal Unvr Inroducon o Bacpropagaon algorhm 969 Mn and Papr aac. 980 Parr and Wrbo dcovrd bac propagaon algorhm.

More information

Homework: Introduction to Motion

Homework: Introduction to Motion Homwork: Inroducon o Moon Dsanc vs. Tm Graphs Nam Prod Drcons: Answr h foowng qusons n h spacs provdd. 1. Wha do you do o cra a horzona n on a dsancm graph? 2. How do you wak o cra a sragh n ha sops up?

More information

t=0 t>0: + vr - i dvc Continuation

t=0 t>0: + vr - i dvc Continuation hapr Ga Dlay and rcus onnuaon s rcu Equaon >: S S Ths dffrnal quaon, oghr wh h nal condon, fully spcfs bhaor of crcu afr swch closs Our n challng: larn how o sol such quaons TUE/EE 57 nwrk analys 4/5 NdM

More information

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is 39 Anohr quival dfiniion of h Fri vlociy is pf vf (6.4) If h rgy is a quadraic funcion of k H k L, hs wo dfiniions ar idical. If is NOT a quadraic funcion of k (which could happ as will b discussd in h

More information

REPETITION before the exam PART 2, Transform Methods. Laplace transforms: τ dτ. L1. Derive the formulas : L2. Find the Laplace transform F(s) if.

REPETITION before the exam PART 2, Transform Methods. Laplace transforms: τ dτ. L1. Derive the formulas : L2. Find the Laplace transform F(s) if. Tranform Mhod and Calculu of Svral Variabl H7, p Lcurr: Armin Halilovic KTH, Campu Haning E-mail: armin@dkh, wwwdkh/armin REPETITION bfor h am PART, Tranform Mhod Laplac ranform: L Driv h formula : a L[

More information

10.5 Linear Viscoelasticity and the Laplace Transform

10.5 Linear Viscoelasticity and the Laplace Transform Scn.5.5 Lnar Vclacy and h Lalac ranfrm h Lalac ranfrm vry uful n cnrucng and analyng lnar vclac mdl..5. h Lalac ranfrm h frmula fr h Lalac ranfrm f h drvav f a funcn : L f f L f f f f f c..5. whr h ranfrm

More information

Transfer function and the Laplace transformation

Transfer function and the Laplace transformation Lab No PH-35 Porland Sa Univriy A. La Roa Tranfr funcion and h Laplac ranformaion. INTRODUTION. THE LAPLAE TRANSFORMATION L 3. TRANSFER FUNTIONS 4. ELETRIAL SYSTEMS Analyi of h hr baic paiv lmn R, and

More information

CIVL 7/ D Boundary Value Problems - Quadrilateral Elements (Q8) 1/9

CIVL 7/ D Boundary Value Problems - Quadrilateral Elements (Q8) 1/9 CIVL / -D Boundry Vlu Problm - Qudrlrl Elmn (Q) /9 EIGH-ODE QUADRILAERRAL ELEMES (Q) h nx n our lmn dvlopmn logcl xnon of h qudrlrl lmn o qudrclly nrpold qudrlrl lmn dfnd by gh nod, four h vrc nd four

More information

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b 4. Th Uniform Disribuion Df n: A c.r.v. has a coninuous uniform disribuion on [a, b] whn is pdf is f x a x b b a Also, b + a b a µ E and V Ex4. Suppos, h lvl of unblivabiliy a any poin in a Transformrs

More information

Partition Functions for independent and distinguishable particles

Partition Functions for independent and distinguishable particles 0.0J /.77J / 5.60J hrodynacs of oolcular Syss Insrucors: Lnda G. Grffh, Kbrly Haad-Schffrl, Moung G. awnd, Robr W. Fld Lcur 5 5.60/0.0/.77 vs. q for dsngushabl vs ndsngushabl syss Drvaon of hrodynac Proprs

More information

m m Exclusive Technology Feature Current-Loop Control in Switching Converters Part 3: Waveform-Based Model Dynamics

m m Exclusive Technology Feature Current-Loop Control in Switching Converters Part 3: Waveform-Based Model Dynamics Excuv chnoogy Fatur SSUE: Novmbr Currnt-oop Contro n Swtchng Convrtr Part 3: Wavform-Ba Mo ynamc by nn Fucht, nnovata aborator, Cayo, B n th artc, vopmnt of a unf mo of currnt-mo contro contnu wth th rvaton

More information

Chapter 9 Transient Response

Chapter 9 Transient Response har 9 Transn sons har 9: Ouln N F n F Frs-Ordr Transns Frs-Ordr rcus Frs ordr crcus: rcus conan onl on nducor or on caacor gornd b frs-ordr dffrnal quaons. Zro-nu rsons: h crcu has no ald sourc afr a cran

More information

Chapter 7 Stead St y- ate Errors

Chapter 7 Stead St y- ate Errors Char 7 Say-Sa rror Inroucon Conrol ym analy an gn cfcaon a. rann ron b. Sably c. Say-a rror fnon of ay-a rror : u c a whr u : nu, c: ouu Val only for abl ym chck ym ably fr! nu for ay-a a nu analy U o

More information

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors Boc/DiPrima 9 h d, Ch.: Linar Equaions; Mhod of Ingraing Facors Elmnar Diffrnial Equaions and Boundar Valu Problms, 9 h diion, b William E. Boc and Richard C. DiPrima, 009 b John Wil & Sons, Inc. A linar

More information

Wave Superposition Principle

Wave Superposition Principle Physcs 36: Was Lcur 5 /7/8 Wa Suroson Prncl I s qu a common suaon for wo or mor was o arr a h sam on n sac or o xs oghr along h sam drcon. W wll consdr oday sral moran cass of h combnd ffcs of wo or mor

More information

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison Economics 302 (Sc. 001) Inrmdia Macroconomic Thory and Policy (Spring 2011) 3/28/2012 Insrucor: Prof. Mnzi Chinn Insrucor: Prof. Mnzi Chinn UW Madison 16 1 Consumpion Th Vry Forsighd dconsumr A vry forsighd

More information

Fractal diffusion retrospective problems

Fractal diffusion retrospective problems Iraoa ora o App Mahac croc a Copr Avac Tchoo a Scc ISSN: 47-8847-6799 wwwaccor/iamc Ora Rarch Papr Fraca o rropcv prob O Yaro Rcv 6 h Ocobr 3 Accp 4 h aar 4 Abrac: I h arc w h rropcv vr prob Th rropcv

More information

Valuation and Analysis of Basket Credit Linked Notes with Issuer Default Risk

Valuation and Analysis of Basket Credit Linked Notes with Issuer Default Risk Valuaon and Analy of Ba Crd Lnd o wh ur Dfaul R Po-Chng Wu * * Dparmn of Banng and Fnanc Kanan Unvry Addr: o. Kanan Rd. Luchu Shang aoyuan 33857 awan R.O.C. E-mal: pcwu@mal.nu.du.w l.: 886-3-34500 x. 67

More information

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27 Faily Jo Pag Th Exil Bg io hy u c prof b jo ou Shar ab ou job ab ar h o ay u Yo ra u ar u r a i A h ) ar par ( grp hav h y y b jo i crib blo Tll ri ir r a r gro up Allo big u r a i Rvi h b of ha u ha a

More information

English Made Easy: Foundation Book 1 Notes for parents

English Made Easy: Foundation Book 1 Notes for parents a nh Ma ay: Fnan 1 pan h b n hp y ch an ay an by cn n h n n ach h n h aphab. h h achn an ca phnc. h nan, achn an wn ac w nca y ch an h na ach, a w a h n n ach a an hw wn n h pa. y cpn h pa h b, y ch w

More information

Chapter 12 Introduction To The Laplace Transform

Chapter 12 Introduction To The Laplace Transform Chapr Inroducion To Th aplac Tranorm Diniion o h aplac Tranorm - Th Sp & Impul uncion aplac Tranorm o pciic uncion 5 Opraional Tranorm Applying h aplac Tranorm 7 Invr Tranorm o Raional uncion 8 Pol and

More information

A Simple Representation of the Weighted Non-Central Chi-Square Distribution

A Simple Representation of the Weighted Non-Central Chi-Square Distribution SSN: 9-875 raoa Joura o ovav Rarch Scc grg a Tchoogy (A S 97: 7 Cr rgaao) Vo u 9 Sbr A S Rrao o h Wgh No-Cra Ch-Squar Drbuo Dr ay A hry Dr Sahar A brah Dr Ya Y Aba Proor D o Mahaca Sac u o Saca Su a Rarch

More information

CIVL 8/ D Boundary Value Problems - Quadrilateral Elements (Q4) 1/8

CIVL 8/ D Boundary Value Problems - Quadrilateral Elements (Q4) 1/8 CIVL 8/7111 -D Boundar Vau Prom - Quadriara Emn (Q) 1/8 ISOPARAMERIC ELEMENS h inar rianguar mn and h iinar rcanguar mn hav vra imporan diadvanag. 1. Boh mn ar una o accura rprn curvd oundari, and. h provid

More information

Poisson process Markov process

Poisson process Markov process E2200 Quuing hory and lraffic 2nd lcur oion proc Markov proc Vikoria Fodor KTH Laboraory for Communicaion nwork, School of Elcrical Enginring 1 Cour oulin Sochaic proc bhind quuing hory L2-L3 oion proc

More information

14.02 Principles of Macroeconomics Fall 2005 Quiz 3 Solutions

14.02 Principles of Macroeconomics Fall 2005 Quiz 3 Solutions 4.0 rincipl of Macroconomic Fall 005 Quiz 3 Soluion Shor Quion (30/00 poin la a whhr h following amn ar TRUE or FALSE wih a hor xplanaion (3 or 4 lin. Each quion coun 5/00 poin.. An incra in ax oday alway

More information

Response of LTI Systems to Complex Exponentials

Response of LTI Systems to Complex Exponentials 3 Fourir sris coiuous-im Rspos of LI Sysms o Complx Expoials Ouli Cosidr a LI sysm wih h ui impuls rspos Suppos h ipu sigal is a complx xpoial s x s is a complx umbr, xz zis a complx umbr h or h h w will

More information

LQR based Speed Control of BLDC Motors

LQR based Speed Control of BLDC Motors G Inrnaonal ournal o Elcrcal and Elcronc Engnrng (G-IEEE) volu 3 Iu 6 un 6 Q bad pd Conrol o BDC Moor Mha M., Awn.B.G udn, Aan proor Elcrcal & Elcronc Dp. Mar Balo collg o Engnrng, hruvananhapura, rala,

More information

Process Design for Mineral Operations

Process Design for Mineral Operations mnar Proc Dgn for Mnra Opraon Proc Dgn for Mnra Opraon Lu A. Crna Drcor CICITEM Rarch Cnr for Mnng and Dparmn of Chmca Engnrng Unvrdad d Anofagaa Anofagaa - Ch Pan Amrcan Advancd ud Inu Program on Emrgng

More information

Statistical Analysis of Environmental Data - Academic Year Prof. Fernando Sansò

Statistical Analysis of Environmental Data - Academic Year Prof. Fernando Sansò Scl nly of nvronmnl D - cdmc r 8-9 Prof. Frnndo Snò XRISS - PR 5 bl of onn Inroducon... xrc (D mprcl covrnc m)...7 xrc (D mprcl covrnc m)... xrc 3 (D mprcl covrnc m)... xrc 4 (D mprcl covrnc m)...3 xrc

More information

Exercises for lectures 7 Steady state, tracking and disturbance rejection

Exercises for lectures 7 Steady state, tracking and disturbance rejection Exrc for lctur 7 Stady tat, tracng and dturbanc rjcton Martn Hromčí Automatc control 06-3-7 Frquncy rpon drvaton Automatcé řízní - Kybrnta a robota W lad a nuodal nput gnal to th nput of th ytm, gvn by

More information

The Mathematics of Harmonic Oscillators

The Mathematics of Harmonic Oscillators Th Mhcs of Hronc Oscllors Spl Hronc Moon In h cs of on-nsonl spl hronc oon (SHM nvolvng sprng wh sprng consn n wh no frcon, you rv h quon of oon usng Nwon's scon lw: con wh gvs: 0 Ths s sos wrn usng h

More information

innovations shocks white noise

innovations shocks white noise Innovaons Tm-srs modls ar consrucd as lnar funcons of fundamnal forcasng rrors, also calld nnovaons or shocks Ths basc buldng blocks sasf var σ Srall uncorrlad Ths rrors ar calld wh nos In gnral, f ou

More information

Theoretical Seismology

Theoretical Seismology Thorcal Ssmology Lcur 9 Sgnal Procssng Fourr analyss Fourr sudd a h Écol Normal n Pars, augh by Lagrang, who Fourr dscrbd as h frs among Europan mn of scnc, Laplac, who Fourr rad lss hghly, and by Mong.

More information

FAULT TOLERANT SYSTEMS

FAULT TOLERANT SYSTEMS FAULT TOLERANT SYSTEMS hp://www.cs.umass.du/c/orn/faultolransysms ar 4 Analyss Mhods Chapr HW Faul Tolranc ar.4.1 Duplx Sysms Boh procssors xcu h sam as If oupus ar n agrmn - rsul s assumd o b corrc If

More information

Spring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review

Spring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review Spring 6 Procss Dynamics, Opraions, and Conrol.45 Lsson : Mahmaics Rviw. conx and dircion Imagin a sysm ha varis in im; w migh plo is oupu vs. im. A plo migh imply an quaion, and h quaion is usually an

More information

Institute of Actuaries of India

Institute of Actuaries of India Insiu of Acuaris of India ubjc CT3 Probabiliy and Mahmaical aisics Novmbr Examinaions INDICATIVE OLUTION Pag of IAI CT3 Novmbr ol. a sampl man = 35 sampl sandard dviaion = 36.6 b for = uppr bound = 35+*36.6

More information

Chapter 7. Now, for 2) 1. 1, if z = 1, Thus, Eq. (7.20) holds

Chapter 7. Now, for 2) 1. 1, if z = 1, Thus, Eq. (7.20) holds Chapr 7, n, 7 Ipuls rspons of h ovng avrag flr s: h[, ohrws sn / / Is frquny rspons s: sn / Now, for a BR ransfr funon,, For h ovng-avrag flr, sn / W shall show by nduon ha sn / sn / sn /,, Now, for sn

More information

Prespacetime-Premomentumenergy Model II: Genesis of Self-Referential Matrix Law & Mathematics of Ether. Huping Hu * & Maoxin Wu ABSTRACT

Prespacetime-Premomentumenergy Model II: Genesis of Self-Referential Matrix Law & Mathematics of Ether. Huping Hu * & Maoxin Wu ABSTRACT cnfc GOD Jouna Novb 24 ou 5 Iu. 965-5 Hu H. &Wu. Pac-Ponungy od II: Gn of f-rfna a aw & ahac of h 965 Pac-Ponungy od II: Gn of f-rfna a aw & ahac of h c Hung Hu * & aon Wu BTRCT Th wok a connuaon of ac-onungy

More information

EE"232"Lightwave"Devices Lecture"16:"p7i7n"Photodiodes"and" Photoconductors"

EE232LightwaveDevices Lecture16:p7i7nPhotodiodesand Photoconductors EE"232"Lgwav"Dvcs Lcur"16:"p77n"Pooos"an" Pooconucors" Rang:"Cuang,"Cap."15"(2 n E) Insrucor:"Mng"C."Wu Unvrsy"of"Calforna,"Brkly Elcrcal"Engnrng"an"Compur"Scncs"Dp. EE232$Lcur$16-1 Rvrs"bas%p""n%juncon

More information

Review Lecture 5. The source-free R-C/R-L circuit Step response of an RC/RL circuit. The time constant = RC The final capacitor voltage v( )

Review Lecture 5. The source-free R-C/R-L circuit Step response of an RC/RL circuit. The time constant = RC The final capacitor voltage v( ) Rviw Lcur 5 Firs-ordr circui Th sourc-fr R-C/R-L circui Sp rspons of an RC/RL circui v( ) v( ) [ v( 0) v( )] 0 Th i consan = RC Th final capacior volag v() Th iniial capacior volag v( 0 ) Volag/currn-division

More information

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems Inrucor Soluion for Aignmn Chapr : Tim Domain Anali of LTIC Sm Problm i a 8 x x wih x u,, an Zro-inpu rpon of h m: Th characriic quaion of h LTIC m i i 8, which ha roo a ± j Th zro-inpu rpon i givn b zi

More information

Overlap Bias in the Case-Crossover Design, With Application to Air Pollution Exposures

Overlap Bias in the Case-Crossover Design, With Application to Air Pollution Exposures U Boac orkng Papr Sr -3-2004 Ovrlap Ba n h Ca-Croovr Dgn, h Applcaon o Ar Polluon Expour Holly Jan Unvry of ahngon, hjan@u.wahngon.du Lann Shppard Unvry of ahngon, hppard@u.wahngon.du homa Lumly Unvry

More information

Time to Recruitment for a Single Grade Manpower System with Two Thresholds, Different Epochs for Inter-Decisions and Exits Having Correlated Wastages

Time to Recruitment for a Single Grade Manpower System with Two Thresholds, Different Epochs for Inter-Decisions and Exits Having Correlated Wastages IOR Jouna of Mahmac IOR-JM -IN: 78-578 -IN: 39-765X. Voum 3 Iu 4 V. III Ju. u. 7 PP 38-4 www.oouna.o m o Rcumn fo a n ad Manow m wh wo hhod Dffn och fo In-Dcon x Havn Coad Waa. Ravchan ;. nvaan an Pofo

More information

Hu, H. &Wu, M. Prespacetime-Premomentumenergy Model II: Genesis of Self-Referential Matrix Law & Mathematics of Ether

Hu, H. &Wu, M. Prespacetime-Premomentumenergy Model II: Genesis of Self-Referential Matrix Law & Mathematics of Ether Hu H. &Wu. Pac-Ponungy od II: Gn of f-rfna a aw & ahac of h Pac-Ponungy od II: Gn of f-rfna a aw & ahac of h c Hung Hu * & aon Wu BTRCT Th wok a connuaon of ac-onungy od dcbd cny. H w how how n h od ac-onungy

More information

NOTE:NO OFFSITE DETOUR IN THIS PROJECT WT HARRIS BLVD O VICINITY MAP SHOWING LOCATION OF STATE PROJECT I-77 HOTLANES. Bradford Field LAKE NORMAN C N

NOTE:NO OFFSITE DETOUR IN THIS PROJECT WT HARRIS BLVD O VICINITY MAP SHOWING LOCATION OF STATE PROJECT I-77 HOTLANES. Bradford Field LAKE NORMAN C N 73 Bradford ield N POJ NA) 73 24 AK NOAN d 77 am urr d [28] A d 115 Y U N O 21 % 115 [18] d 115 roft d m a d r r u AW Y U N O 24 K Y A A a r r i sb 115 B Y W 24 U Y N V 24 s B i r ar W W P O PO / U N O

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

ME 200 Thermodynamics I Spring 2014 Examination 3 Thu 4/10/14 6:30 7:30 PM WTHR 200, CL50 224, PHY 112 LAST NAME FIRST NAME

ME 200 Thermodynamics I Spring 2014 Examination 3 Thu 4/10/14 6:30 7:30 PM WTHR 200, CL50 224, PHY 112 LAST NAME FIRST NAME M 00 hrodynac Sprng 014 xanaton 3 hu 4/10/14 6:30 7:30 PM WHR 00, CL50 4, PHY 11 Crcl your dvon: PHY 11 WHR 00 WHR 00 CL50 4 CL50 4 PHY 11 7:30 Joglkar 9:30 Wagrn 10:30 Gor 1:30 Chn :30 Woodland 4:30 Srcar

More information

INTRODUCTION TO HEAT EXCHANGERS

INTRODUCTION TO HEAT EXCHANGERS ICM Ha Exangr. Ha Exangr INROCION O HE EXCHNGERS P f upn n w, nrgy ranfrrd fr a flud a ldr flud by vru f praur dffrn. Ha Exangr ar wdly ud n prlu and al ndur, al prng, rfrgran, ang and ar-ndnng.. ubl-pp

More information

EE 434 Lecture 22. Bipolar Device Models

EE 434 Lecture 22. Bipolar Device Models EE 434 Lcur 22 Bipolar Dvic Modls Quiz 14 Th collcor currn of a BJT was masurd o b 20mA and h bas currn masurd o b 0.1mA. Wha is h fficincy of injcion of lcrons coming from h mir o h collcor? 1 And h numbr

More information

Comparisons of the Variance of Predictors with PPS sampling (update of c04ed26.doc) Ed Stanek

Comparisons of the Variance of Predictors with PPS sampling (update of c04ed26.doc) Ed Stanek Coparo o th Varac o Prdctor wth PPS aplg (updat o c04d6doc Ed Sta troducto W copar prdctor o a PSU a or total bad o PPS aplg Th tratgy to ollow that o Sta ad Sgr (JASA, 004 whr w xpr th prdctor a a lar

More information

Prespacetime-Premomentumenergy Model II: Generation. of Self-Referential Matrix Law &Mathematics of Ether. Huping Hu * & Maoxin Wu ABSTRACT

Prespacetime-Premomentumenergy Model II: Generation. of Self-Referential Matrix Law &Mathematics of Ether. Huping Hu * & Maoxin Wu ABSTRACT Jouna of Concoun oaon & Rach Novb 24 ou 5 Iu. 97-2 Hu H. &Wu. Pac-Ponungy od II: Gnaon of f-rfna a aw & ahac of h 97 Pac-Ponungy od II: Gnaon of f-rfna a aw &ahac of h c Hung Hu * & aon Wu BTRCT Th wok

More information

where: u: input y: output x: state vector A, B, C, D are const matrices

where: u: input y: output x: state vector A, B, C, D are const matrices Sa pac modl: linar: y or in om : Sa q : f, u Oupu q : y h, u u Du F Gu y H Ju whr: u: inpu y: oupu : a vcor,,, D ar con maric Eampl " $ & ' " $ & 'u y " & * * * * [ ],, D H D I " $ " & $ ' " & $ ' " &

More information

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018 DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS Aoc. Prof. Dr. Burak Kllci Spring 08 OUTLINE Th Laplac Tranform Rgion of convrgnc for Laplac ranform Invr Laplac ranform Gomric valuaion

More information

Natural Resource Economics

Natural Resource Economics Naura Rsourc Economics Acamic ar: 2018-2019 Prof. Luca Savaici uca.savaici@uniroma3.i Lsson 14: Opima conro sufficin coniions Naura Rsourc Economics - Luca Savaici 2018-19 1 FOCs Saic probm: Dnamic probm:

More information

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse.

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse. Supplmnar Fgur. Eprmn and smulaon wh fn qud anharmonc. a, Eprmnal daa akn afr a 6 ns hr-on puls. b, Smulaon usng h amlonan. Supplmnar Fgur. Phagoran dnamcs n h m doman. a, Eprmnal daa. Th hr-on puls s

More information

Physics 160 Lecture 3. R. Johnson April 6, 2015

Physics 160 Lecture 3. R. Johnson April 6, 2015 Physics 6 Lcur 3 R. Johnson April 6, 5 RC Circui (Low-Pass Filr This is h sam RC circui w lookd a arlir h im doma, bu hr w ar rsd h frquncy rspons. So w pu a s wav sad of a sp funcion. whr R C RC Complx

More information

Response of MDOF systems

Response of MDOF systems Response of MDOF syses Degree of freedo DOF: he nu nuber of ndependen coordnaes requred o deerne copleely he posons of all pars of a syse a any nsan of e. wo DOF syses hree DOF syses he noral ode analyss

More information

LaPlace Transform in Circuit Analysis

LaPlace Transform in Circuit Analysis LaPlac Tranform in Circui Analyi Obciv: Calcula h Laplac ranform of common funcion uing h dfiniion and h Laplac ranform abl Laplac-ranform a circui, including componn wih non-zro iniial condiion. Analyz

More information

V A. V-A ansatz for fundamental fermions

V A. V-A ansatz for fundamental fermions Avan Parl Phy: I. ak nraon. A Thory Carfl analy of xprnal aa (pary volaon, nrno hly pn hang n nlar β-ay, on ay propr oghr w/ nvraly fnally l o h -A hory of (nlar wak ay: M A A ( ( ( ( v p A n nlon lpon

More information

Chap.3 Laplace Transform

Chap.3 Laplace Transform Chap. aplac Tranorm Tranorm: An opraion ha ranorm a uncion ino anohr uncion i Dirniaion ranorm: ii x: d dx x x Ingraion ranorm: x: x dx x c Now, conidr a dind ingral k, d,ha ranorm ino a uncion o variabl

More information

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system 8. Quug sysms Cos 8. Quug sysms Rfrshr: Sml lraffc modl Quug dscl M/M/ srvr wag lacs Alcao o ack lvl modllg of daa raffc M/M/ srvrs wag lacs lc8. S-38.45 Iroduco o Tlraffc Thory Srg 5 8. Quug sysms 8.

More information

1 Finite Automata and Regular Expressions

1 Finite Automata and Regular Expressions 1 Fini Auom nd Rgulr Exprion Moivion: Givn prn (rgulr xprion) for ring rching, w migh wn o convr i ino drminiic fini uomon or nondrminiic fini uomon o mk ring rching mor fficin; drminiic uomon only h o

More information

ELEN E4830 Digital Image Processing

ELEN E4830 Digital Image Processing ELEN E48 Dgal Imag Procssng Mrm Eamnaon Sprng Soluon Problm Quanzaon and Human Encodng r k u P u P u r r 6 6 6 6 5 6 4 8 8 4 P r 6 6 P r 4 8 8 6 8 4 r 8 4 8 4 7 8 r 6 6 6 6 P r 8 4 8 P r 6 6 8 5 P r /

More information

Bethe-Salpeter Equation Green s Function and the Bethe-Salpeter Equation for Effective Interaction in the Ladder Approximation

Bethe-Salpeter Equation Green s Function and the Bethe-Salpeter Equation for Effective Interaction in the Ladder Approximation Bh-Salp Equaon n s Funcon and h Bh-Salp Equaon fo Effcv Inacon n h Ladd Appoxmaon Csa A. Z. Vasconcllos Insuo d Físca-UFRS - upo: Físca d Hadons Sngl-Pacl Popagao. Dagam xpanson of popagao. W consd as

More information

Control System Engineering (EE301T) Assignment: 2

Control System Engineering (EE301T) Assignment: 2 Conrol Sysm Enginring (EE0T) Assignmn: PART-A (Tim Domain Analysis: Transin Rspons Analysis). Oain h rspons of a uniy fdack sysm whos opn-loop ransfr funcion is (s) s ( s 4) for a uni sp inpu and also

More information

CHAPTER CHAPTER14. Expectations: The Basic Tools. Prepared by: Fernando Quijano and Yvonn Quijano

CHAPTER CHAPTER14. Expectations: The Basic Tools. Prepared by: Fernando Quijano and Yvonn Quijano Expcaions: Th Basic Prpard by: Frnando Quijano and Yvonn Quijano CHAPTER CHAPTER14 2006 Prnic Hall Businss Publishing Macroconomics, 4/ Olivir Blanchard 14-1 Today s Lcur Chapr 14:Expcaions: Th Basic Th

More information

Ma/CS 6a Class 15: Flows and Bipartite Graphs

Ma/CS 6a Class 15: Flows and Bipartite Graphs //206 Ma/CS 6a Cla : Flow and Bipari Graph By Adam Shffr Rmindr: Flow Nwork A flow nwork i a digraph G = V, E, oghr wih a ourc vrx V, a ink vrx V, and a capaciy funcion c: E N. Capaciy Sourc 7 a b c d

More information

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 )

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 ) AR() Procss Th firs-ordr auorgrssiv procss, AR() is whr is WN(0, σ ) Condiional Man and Varianc of AR() Condiional man: Condiional varianc: ) ( ) ( Ω Ω E E ) var( ) ) ( var( ) var( σ Ω Ω Ω Ω E Auocovarianc

More information

Circuit Transients time

Circuit Transients time Circui Tranin A Solp 3/29/0, 9/29/04. Inroducion Tranin: A ranin i a raniion from on a o anohr. If h volag and currn in a circui do no chang wih im, w call ha a "ady a". In fac, a long a h volag and currn

More information

25th Seismic Research Review - Nuclear Explosion Monitoring: Building the Knowledge Base

25th Seismic Research Review - Nuclear Explosion Monitoring: Building the Knowledge Base 5h Sc Rach Rvw Nuca Epoon onong: Budng h Knowdg Ba EONVOUTON OF THREEENSON BET ONENE SPETR FRO XENON SPN N ESUREENT UNTS Knda Foz Bgak 1 and Svn R Bgak Vdan; 1 Unvy of Ta a un Sponod by h y Spac and fn

More information

Wave Phenomena Physics 15c

Wave Phenomena Physics 15c Wv hnon hyscs 5c cur 4 Coupl Oscllors! H& con 4. Wh W D s T " u forc oscllon " olv h quon of oon wh frcon n foun h sy-s soluon " Oscllon bcos lr nr h rsonnc frquncy " hs chns fro 0 π/ π s h frquncy ncrss

More information

tcvrn Hl1 J M Hamilton P Eng Chief Geologist Kimberley Northing m Northing m I FEB 24 1QP Northing m Gold Commiuioner

tcvrn Hl1 J M Hamilton P Eng Chief Geologist Kimberley Northing m Northing m I FEB 24 1QP Northing m Gold Commiuioner SVA M OMO TD KOOT GROP ASSSSMT RPORT KMBRY B Th fwn rpr dsrbs h rss f drn Dand Dr H K 8 4 a 8 r h D D H K 8 5 a 9 5 r h D D H K 8 5A a 67 38 r h D D H K 8 6 a 8 69 r h and D D H K 8 7 a 77 72 r h n h ana

More information

Boosting and Ensemble Methods

Boosting and Ensemble Methods Boosng and Ensmbl Mhods PAC Larnng modl Som dsrbuon D ovr doman X Eampls: c* s h arg funcon Goal: Wh hgh probably -d fnd h n H such ha rrorh,c* < d and ar arbrarly small. Inro o ML 2 Wak Larnng

More information

Midterm Examination (100 pts)

Midterm Examination (100 pts) Econ 509 Spring 2012 S.L. Parn Midrm Examinaion (100 ps) Par I. 30 poins 1. Dfin h Law of Diminishing Rurns (5 ps.) Incrasing on inpu, call i inpu x, holding all ohr inpus fixd, on vnuall runs ino h siuaion

More information

Time and Frequency Domain Transient Signal Analysis for Defect Detection in CMOS Digital ICs

Time and Frequency Domain Transient Signal Analysis for Defect Detection in CMOS Digital ICs T and Frquncy an Trann na nay fr fc cn n CM a C Ja F. uquc, nad M. Charu and n. Lan Tchnca pr, parn f h Cpur cnc Unry f burh 997 brac n apprach n CM da crcu prnd ha bad n an anay f a rann a up pn and wchn

More information

Link of Physical Constants with Space Geometry

Link of Physical Constants with Space Geometry Cog Par POCEEDINGS of NPA Ln of Pysca Consans w Spac Gory Evgn udov & Lada udova Grodno Sa Yana Kupaa Unvrsy Grodno u. Ozso BELAUS -a: rudowa@ga.co In arc w suggs an nrpraon of svra consans bo fro pon

More information

1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to:

1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to: Rfrncs Brnank, B. and I. Mihov (1998). Masuring monary policy, Quarrly Journal of Economics CXIII, 315-34. Blanchard, O. R. Proi (00). An mpirical characrizaion of h dynamic ffcs of changs in govrnmn spnding

More information

State Observer Design

State Observer Design Sa Obsrvr Dsgn A. Khak Sdgh Conrol Sysms Group Faculy of Elcrcal and Compur Engnrng K. N. Toos Unvrsy of Tchnology Fbruary 2009 1 Problm Formulaon A ky assumpon n gnvalu assgnmn and sablzng sysms usng

More information

Two-Dimensional Quantum Harmonic Oscillator

Two-Dimensional Quantum Harmonic Oscillator D Qa Haroc Oscllaor Two-Dsoal Qa Haroc Oscllaor 6 Qa Mchacs Prof. Y. F. Ch D Qa Haroc Oscllaor D Qa Haroc Oscllaor ch5 Schrödgr cosrcd h cohr sa of h D H.O. o dscrb a classcal arcl wh a wav ack whos cr

More information