Control Systems. Lecture 8 Root Locus. Root Locus. Plant. Controller. Sensor
|
|
- Cecily Waters
- 6 years ago
- Views:
Transcription
1 Cotol Syt ctu 8 Root ocu Clacal Cotol Pof. Eugo Schut hgh Uvty Root ocu Cotoll Plat R E C U Y - H C D So Y C C R C H Wtg th loo ga a w a ttd tackg th clod-loo ol a ga va Clacal Cotol Pof. Eugo Schut hgh Uvty
2 Chaacttc Equato: Root ocu 0 Th oot o of th chaacttc quato a th clod-loo ol of th fdback yt!!! Th clod-loo ol a a fucto of th ga Wtg th loo ga a b a b a b a b a Th clod loo ol a gv dtctly by th oluto of: b 0, 0, a b 0, a Clacal Cotol Pof. Eugo Schut hgh Uvty 3 Root ocu { } oot{ d u } R o wh va fo 0 to otv Root ocu o fo 0 to - gatv Root ocu > 0: $! #!" 80 Magtud codto Pha codto < 0: $! #!" 0 Magtud codto Pha codto Clacal Cotol Pof. Eugo Schut hgh Uvty 4
3 Root ocu by Chaacttc Equato Soluto Exal: R E U Y 0 - Clacal Cotol Pof. Eugo Schut hgh Uvty Y R 0 Clod-loo ol: 0 0 0, ± 5.5 ± ± > < 0 5 Root ocu by Chaacttc Equato Soluto W d a ytatc aoach to lot th clod-loo ol a fucto of th ga ROOT OCUS Clacal Cotol Pof. Eugo Schut hgh Uvty 6 3
4 4 Clacal Cotol Pof. Eugo Schut hgh Uvty Pha ad Magtud of a Taf Fucto 0 0 a a a b b b b Th facto, - j ad - k a colx ub: k j k k j j k j,, 7 Clacal Cotol Pof. Eugo Schut hgh Uvty Pha ad Magtud of a Taf Fucto Now t ay to gv th ha ad agtud of th taf fucto: [ ], 8
5 Root ocu by Pha Codto Exal: R E U Y o 3 blog to th locu? Clacal Cotol Pof. Eugo Schut hgh Uvty 9 Root ocu by Pha Codto [ ] o 3 blog to th locu! Not: Chck cod locu_hacodto. Clacal Cotol Pof. Eugo Schut hgh Uvty 0 5
6 Root ocu by Pha Codto o 3 W d a ytatc aoach to lot th clod-loo ol a fucto of th ga ROOT OCUS Clacal Cotol Pof. Eugo Schut hgh Uvty Bac Pot: Root ocu { } oot{ d u } R o wh va fo 0 to otv Root ocu o fo 0 to - gatv Root ocu 0 a b 0 Nub of bach ub of o-loo ol R bg at o-loo ol 0 a 0 R d at o-loo o o aytot # b 0 0 "! > 0 R ytcal about R-ax Clacal Cotol Pof. Eugo Schut hgh Uvty 6
7 Root ocu Rul : Th bach of th locu tat at th ol of ad of th bach d o th o of. : od of th doato of : od of th uato of Rul : Th locu o th al ax to th lft of ad odd ub of ol ad o. I oth wod, a tval o th al ax blog to th oot locu f th total ub of ol ad o to th ght odd. Th ul co fo th ha codto!!! Clacal Cotol Pof. Eugo Schut hgh Uvty 3 Root ocu Rul 3: A, of th clod-loo ol aoach th o-loo o, ad - of th aoach - aytot wth agl ad ctd at π l l, l 0,,, b a ol o α, l 0,,, Clacal Cotol Pof. Eugo Schut hgh Uvty 4 7
8 Root ocu Rul 4: Th locu co th jω ax loo tablty wh th Routh cto how a tato fo oot th lft half-la to oot th ght-half la. Exal: , ± j5 Clacal Cotol Pof. Eugo Schut hgh Uvty 5 Exal: Root ocu Clacal Cotol Pof. Eugo Schut hgh Uvty 6 8
9 Root ocu Dg dag vald by th Root ocu: Hgh latv dg: Fo - 3 w hav clod loo tablty du to aytot Nou ha o: Thy attact clod loo ol to th RHP Not: Chck cod ootlocu. Clacal Cotol Pof. Eugo Schut hgh Uvty 7 Root ocu Vt foula: Wh th latv dg -, th u of th clod loo ol cotat a clod loo ol b a b a b a b a Clacal Cotol Pof. Eugo Schut hgh Uvty 8 9
10 0 Clacal Cotol Pof. Eugo Schut hgh Uvty Pha ad Magtud of a Taf Fucto Exal: o Clacal Cotol Pof. Eugo Schut hgh Uvty Root ocu- Magtud ad Pha Codto { } { } u d oot o R wh va fo 0 to otv Root ocu o fo 0 to - gatv Root ocu > 0: < 0: [ ]
11 Clacal Cotol Pof. Eugo Schut hgh Uvty Root ocu Slctg fo dd clod loo ol o Root ocu: If o blog to th oot locu, t ut atf th chaacttc quato fo o valu of Th w ca obta a o o o Clacal Cotol Pof. Eugo Schut hgh Uvty Root ocu Exal: o o o o ytf,oly[- -5] o-34 [,POES]locfdy,o Ug MATAB:
12 Exal: o 7 5 o 4.06 Root ocu 5 o 3 4 o 7 5 Wh w u th abolut valu foula w a aug that th ot blog to th Root ocu! Clacal Cotol Pof. Eugo Schut hgh Uvty 3 Exal: Root ocu - Coato 5 Ca w lac th clod loo ol at o -75 oly vayg? NO. W d a COMPENSATOR. 5 D 0 5 Clacal Cotol Pof. Eugo Schut hgh Uvty Th o attact th locu!!! 4
13 Root ocu Pha lad coato Pu dvatv cotol ot oally actcal bcau of th alfcato of th o du to th dfftato ad ut b aoxatd: D, > D, > 5 Pha lad COMPENSATOR Wh w tudy fqucy o w wll udtad why w call Pha ad to th coato. How do w choo ad to lac th clod loo ol at o -75? Clacal Cotol Pof. Eugo Schut hgh Uvty Exal: Root ocu Pha lad coato D, > 5 Pha lad COMPENSATOR.04 t u choo ? Clacal Cotol Pof. Eugo Schut hgh Uvty 6 3
14 Exal: Root ocu Pha lad coato D 0 5 Pha lad COMPENSATOR o Clacal Cotol Pof. Eugo Schut hgh Uvty 7 Root ocu Pha lad coato D, > Pha lad COMPENSATOR Slctg ad a tal a o ocdu. I gal: Th o lacd th ghbohood of th clodloo atual fqucy, a dtd by -t o ttlg t qut. Th ol lacd at a dtac 5 to 0 t th valu of th o locato. Th ol fat ough to avod odfyg th doat ol bhavo. Th xact oto of th ol a coo btw: No uo w wat a all valu fo Coato ffctv w wat lag valu fo Clacal Cotol Pof. Eugo Schut hgh Uvty 8 4
15 Exal: Root ocu Pha lag coato D l l D l What ca w do to ca? Suo w wat D, < 0 5 W choo: Pha lag COMPENSATOR Clacal Cotol Pof. Eugo Schut hgh Uvty 9 Exal: Root ocu Pha lag coato D o Clacal Cotol Pof. Eugo Schut hgh Uvty 30 5
16 Root ocu Pha lag coato D, < Pha lag COMPENSATOR Slctg ad a tal a o ocdu. I gal: Th ato o/ol cho bad o th o cotat cfcato. W ck ad all to avod affctg th doat dyac of th yt to avod odfyg th at of th locu tg th doat dyac Slow tat du to th all alot caclld by a all. Th ato o/ol caot b vy bg. Th xact oto of ad a coo btw: Stady tat o w wat a lag valu fo / Th tat o w wat th ol lacd fa fo th og Clacal Cotol Pof. Eugo Schut hgh Uvty 3 Root ocu - Coato Pha lad coato: Pha lag coato: D, < D, > W wll why w call ha lad ad ha lag to th coato wh w tudy fqucy o Clacal Cotol Pof. Eugo Schut hgh Uvty 3 6
ME 343 Control Systems
ME 343 Cl Sy cu 8 Ocb 8, 009 ME 343 Cl Sy Fall 009 343 R cu Cll Pla R E U Y C - H C D S Y C C R C H Wg h l ga a w a d acg h cld-l l a ga va ME 343 Cl Sy Fall 009 344 Chaacc Equa: R cu 0 Th f h chaacc qua
More informationHomework 1: Solutions
Howo : Solutos No-a Fals supposto tst but passs scal tst lthouh -f th ta as slowss [S /V] vs t th appaac of laty alty th path alo whch slowss s to b tat to obta tavl ts ps o th ol paat S o V as a cosquc
More informationLecture 7 Diffusion. Our fluid equations that we developed before are: v t v mn t
Cla ot fo EE6318/Phy 6383 Spg 001 Th doumt fo tutoal u oly ad may ot b opd o dtbutd outd of EE6318/Phy 6383 tu 7 Dffuo Ou flud quato that w dvlopd bfo a: f ( )+ v v m + v v M m v f P+ q E+ v B 13 1 4 34
More informationNoise in electronic components.
No lto opot5098, JDS No lto opot Th PN juto Th ut thouh a PN juto ha fou opot t: two ffuo ut (hol fo th paa to th aa a lto th oppot to) a thal at oty ha a (hol fo th aa to th paa a lto th oppot to, laka
More information3.4 Properties of the Stress Tensor
cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato
More informationIn the name of Allah Proton Electromagnetic Form Factors
I th a of Allah Poto Elctoagtc o actos By : Maj Hazav Pof A.A.Rajab Shahoo Uvsty of Tchology Atoc o acto: W cos th tactos of lcto bas wth atos assu to b th gou stats. Th ct lcto ay gt scatt lastcally wth
More informationChapter 6. pn-junction diode: I-V characteristics
Chatr 6. -jucto dod: -V charactrstcs Tocs: stady stat rsos of th jucto dod udr ald d.c. voltag. ucto udr bas qualtatv dscusso dal dod quato Dvatos from th dal dod Charg-cotrol aroach Prof. Yo-S M Elctroc
More informationSchool of Aerospace Engineering Origins of Quantum Theory. Measurements of emission of light (EM radiation) from (H) atoms found discrete lines
Ogs of Quatu Thoy Masuts of sso of lght (EM adato) fo (H) atos foud dsct ls 5 4 Abl to ft to followg ss psso ν R λ c λwavlgth, νfqucy, cspd lght RRydbg Costat (~09,7677.58c - ),,, +, +,..g.,,.6, 0.6, (Lya
More informationROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K
ROOT-LOCUS ANALYSIS Coder a geeral feedback cotrol yte wth a varable ga. R( Y( G( + H( Root-Locu a plot of the loc of the pole of the cloed-loop trafer fucto whe oe of the yte paraeter ( vared. Root locu
More informationENGG 1203 Tutorial. Difference Equations. Find the Pole(s) Finding Equations and Poles
ENGG 03 Tutoial Systms ad Cotol 9 Apil Laig Obctivs Z tasfom Complx pols Fdbac cotol systms Ac: MIT OCW 60, 6003 Diffc Equatios Cosid th systm pstd by th followig diffc quatio y[ ] x[ ] (5y[ ] 3y[ ]) wh
More informationChapter 2: Descriptive Statistics
Chapte : Decptve Stattc Peequte: Chapte. Revew of Uvaate Stattc The cetal teecy of a oe o le yetc tbuto of a et of teval, o hghe, cale coe, ofte uaze by the athetc ea, whch efe a We ca ue the ea to ceate
More informationThe tight-binding method
Th tight-idig thod Wa ottial aoach: tat lcto a a ga of aly f coductio lcto. ow aout iulato? ow aout d-lcto? d Tight-idig thod: gad a olid a a collctio of wa itactig utal ato. Ovla of atoic wav fuctio i
More informationThe real E-k diagram of Si is more complicated (indirect semiconductor). The bottom of E C and top of E V appear for different values of k.
Modr Smcoductor Dvcs for Itgratd rcuts haptr. lctros ad Hols Smcoductors or a bad ctrd at k=0, th -k rlatoshp ar th mmum s usually parabolc: m = k * m* d / dk d / dk gatv gatv ffctv mass Wdr small d /
More informationThree Phase Asymmetrical Load Flow for Four-Wire Distribution Networks
T Aytl Lo Flow o Fou-W Dtuto Ntwo M. Mo *, A. M. Dy. M. A Dtt o Eltl E, A Uvty o Toloy Hz Av., T 59, I * El: o8@yoo.o Att-- Mjoty o tuto two ul u to ul lo, yty to l two l ut. T tt o tuto yt ult y o ovt
More informationBorn-Oppenheimer Approximation. Kaito Takahashi
o-oppehee ppoato Kato Takahah toc Ut Fo quatu yte uch a ecto ad olecule t eae to ue ut that ft the=tomc UNT Ue a of ecto (ot kg) Ue chage of ecto (ot coulob) Ue hba fo agula oetu (ot kg - ) Ue 4pe 0 fo
More informationEstimating the Variance in a Simulation Study of Balanced Two Stage Predictors of Realized Random Cluster Means Ed Stanek
Etatg th Varac a Sulato Study of Balacd Two Stag Prdctor of Ralzd Rado Clutr Ma Ed Stak Itroducto W dcrb a pla to tat th varac copot a ulato tudy N ( µ µ W df th varac of th clutr paratr a ug th N ulatd
More informationCBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane.
CBSE CBSE SET- SECTION. Gv tht d W d to fd 7 7 Hc, 7 7 7. Lt,. W ow tht.. Thus,. Cosd th vcto quto of th pl.. z. - + z = - + z = Thus th Cts quto of th pl s - + z = Lt d th dstc tw th pot,, - to th pl.
More informationCBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find
BSE SMLE ER SOLUTONS LSS-X MTHS SET- BSE SETON Gv tht d W d to fd 7 7 Hc, 7 7 7 Lt, W ow tht Thus, osd th vcto quto of th pl z - + z = - + z = Thus th ts quto of th pl s - + z = Lt d th dstc tw th pot,,
More informationChapter 2 Reciprocal Lattice. An important concept for analyzing periodic structures
Chpt Rcpocl Lttc A mpott cocpt o lyzg podc stuctus Rsos o toducg cpocl lttc Thoy o cystl dcto o x-ys, utos, d lctos. Wh th dcto mxmum? Wht s th tsty? Abstct study o uctos wth th podcty o Bvs lttc Fou tsomto.
More informationPart I- Wave Reflection and Transmission at Normal Incident. Part II- Wave Reflection and Transmission at Oblique Incident
Apl 6, 3 Uboudd Mda Gudd Mda Chap 7 Chap 8 3 mls 3 o 3 M F bad Lgh wavs md by h su Pa I- Wav Rlo ad Tasmsso a Nomal Id Pa II- Wav Rlo ad Tasmsso a Oblqu Id Pa III- Gal Rlao Bw ad Wavguds ad Cavy Rsoao
More informationare positive, and the pair A, B is controllable. The uncertainty in is introduced to model control failures.
Lectue 4 8. MRAC Desg fo Affe--Cotol MIMO Systes I ths secto, we cosde MRAC desg fo a class of ult-ut-ult-outut (MIMO) olea systes, whose lat dyacs ae lealy aaetezed, the ucetates satsfy the so-called
More informationCourse 10 Shading. 1. Basic Concepts: Radiance: the light energy. Light Source:
Cour 0 Shadg Cour 0 Shadg. Bac Coct: Lght Sourc: adac: th lght rg radatd from a ut ara of lght ourc or urfac a ut old agl. Sold agl: $ # r f lght ourc a ot ourc th ut ara omttd abov dfto. llumato: lght
More informationHandout 30. Optical Processes in Solids and the Dielectric Constant
Haut Otal Sl a th Dlt Ctat I th ltu yu wll la: La ut Ka-Kg lat Dlt tat l Itba a Itaba tbut t th lt tat l C 47 Sg 9 Faha Raa Cll Uty Chag Dl, Dl Mt, a lazat Dty A hag l t a gat a a t hag aat by ta: Q Q
More informationLecture 1: Empirical economic relations
Ecoomcs 53 Lctur : Emprcal coomc rlatos What s coomtrcs? Ecoomtrcs s masurmt of coomc rlatos. W d to kow What s a coomc rlato? How do w masur such a rlato? Dfto: A coomc rlato s a rlato btw coomc varabls.
More informationOverview. Review Superposition Solution. Review Superposition. Review x and y Swap. Review General Superposition
ylcal aplace Soltos ebay 6 9 aplace Eqato Soltos ylcal Geoety ay aetto Mechacal Egeeg 5B Sea Egeeg Aalyss ebay 6 9 Ovevew evew last class Speposto soltos tocto to aal cooates Atoal soltos of aplace s eqato
More informationC-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory
ROAD MAP... AE301 Aerodyamcs I UNIT C: 2-D Arfols C-1: Aerodyamcs of Arfols 1 C-2: Aerodyamcs of Arfols 2 C-3: Pael Methods C-4: Th Arfol Theory AE301 Aerodyamcs I Ut C-3: Lst of Subects Problem Solutos?
More informationUnbalanced Panel Data Models
Ubalacd Pal Data odls Chaptr 9 from Baltag: Ecoomtrc Aalyss of Pal Data 5 by Adrás alascs 4448 troducto balacd or complt pals: a pal data st whr data/obsrvatos ar avalabl for all crosssctoal uts th tr
More informationCOMPSCI 230 Discrete Math Trees March 21, / 22
COMPSCI 230 Dict Math Mach 21, 2017 COMPSCI 230 Dict Math Mach 21, 2017 1 / 22 Ovviw 1 A Simpl Splling Chck Nomnclatu 2 aval Od Dpth-it aval Od Badth-it aval Od COMPSCI 230 Dict Math Mach 21, 2017 2 /
More informationToday s topics. How did we solve the H atom problem? CMF Office Hours
CMF Offc ous Wd. Nov. 4 oo-p Mo. Nov. 9 oo-p Mo. Nov. 6-3p Wd. Nov. 8 :30-3:30 p Wd. Dc. 5 oo-p F. Dc. 7 4:30-5:30 Mo. Dc. 0 oo-p Wd. Dc. 4:30-5:30 p ouly xa o Th. Dc. 3 Today s topcs Bf vw of slctd sults
More informationNONDIFFERENTIABLE MATHEMATICAL PROGRAMS. OPTIMALITY AND HIGHER-ORDER DUALITY RESULTS
HE PUBLISHING HOUSE PROCEEDINGS OF HE ROMANIAN ACADEMY, See A, OF HE ROMANIAN ACADEMY Volue 9, Nube 3/8,. NONDIFFERENIABLE MAHEMAICAL PROGRAMS. OPIMALIY AND HIGHER-ORDER DUALIY RESULS Vale PREDA Uvety
More informationSYSTEMS OF NON-LINEAR EQUATIONS. Introduction Graphical Methods Close Methods Open Methods Polynomial Roots System of Multivariable Equations
SYSTEMS OF NON-LINEAR EQUATIONS Itoduto Gaphal Method Cloe Method Ope Method Polomal Root Stem o Multvaale Equato Chapte Stem o No-Lea Equato /. Itoduto Polem volvg o-lea equato egeeg lude optmato olvg
More informationDEVELOPMENT SITE Reserved Parking FUTURE FENCE LOT 2 CSM #2653 ACCESSIBLE PARKING SIGN DETAIL. Employee Parking (6) Future. Drive.
FUTU COCAL GAG A QUD DVLOT T eserved arking LGHT GUAG TAL O ign as required " L O FLLD TH COCT FUTU " DALK AUGD HOL FLLD FC TH COCT -" C LOT C # ACCBL AKG G DTAL FC OT TO CAL mployee " arking ( VTD "U"
More informationThe Real Hydrogen Atom
T Ra Hydog Ato ov ad i fist od gt iddt of :.6V a us tubatio toy to dti: agti ffts si-obit ad yfi -A ativisti otios Aso av ab sift du to to sfitatio. Nd QD Dia q. ad dds o H wavfutio at sou of ti fid. Vy
More informationNumerical Method: Finite difference scheme
Numrcal Mthod: Ft dffrc schm Taylor s srs f(x 3 f(x f '(x f ''(x f '''(x...(1! 3! f(x 3 f(x f '(x f ''(x f '''(x...(! 3! whr > 0 from (1, f(x f(x f '(x R Droppg R, f(x f(x f '(x Forward dffrcg O ( x from
More informationComparisons 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 informationPower Flow S + Buses with either or both Generator Load S G1 S G2 S G3 S D3 S D1 S D4 S D5. S Dk. Injection S G1
ower Flow uses wth ether or both Geerator Load G G G D D 4 5 D4 D5 ecto G Net Comple ower ecto - D D ecto s egatve sg at load bus = _ G D mlarl Curret ecto = G _ D At each bus coservato of comple power
More informationA Bayesian Approach To Colour Term Semantics
A Baya Aoac To olou T Satc Mk Dowa Mk@c.uy.u.au Ba Datt of out Scc, F09, Uvty of Syy NSW006 Autala Abtact A Baya coutatoal ol cb, wc abl to la t ag of bac colou t fo otv xal. Exal of colou a by atcula
More informationHandout 7. Properties of Bloch States and Electron Statistics in Energy Bands
Hdout 7 Popts of Bloch Stts d Elcto Sttstcs Eg Bds I ths lctu ou wll l: Popts of Bloch fuctos Podc boud codtos fo Bloch fuctos Dst of stts -spc Elcto occupto sttstcs g bds ECE 407 Spg 009 Fh R Coll Uvst
More informationA study on Ricci soliton in S -manifolds.
IO Joual of Mathmatc IO-JM -IN: 78-578 p-in: 9-765 olum Iu I Ja - Fb 07 PP - wwwojoualo K dyavath ad Bawad Dpatmt of Mathmatc Kuvmpu vtyhaaahatta - 577 5 hmoa Kaataa Ida Abtact: I th pap w tudy m ymmtc
More informationDepartment of Mathematics and Statistics Indian Institute of Technology Kanpur MSO202A/MSO202 Assignment 3 Solutions Introduction To Complex Analysis
Dpartmt of Mathmatcs ad Statstcs Ida Isttut of Tchology Kapur MSOA/MSO Assgmt 3 Solutos Itroducto To omplx Aalyss Th problms markd (T) d a xplct dscusso th tutoral class. Othr problms ar for hacd practc..
More informationToday s topic 2 = Setting up the Hydrogen Atom problem. Schematic of Hydrogen Atom
Today s topic Sttig up th Hydog Ato pobl Hydog ato pobl & Agula Motu Objctiv: to solv Schödig quatio. st Stp: to dfi th pottial fuctio Schatic of Hydog Ato Coulob s aw - Z 4ε 4ε fo H ato Nuclus Z What
More information1. Linear second-order circuits
ear eco-orer crcut Sere R crcut Dyamc crcut cotag two capactor or two uctor or oe uctor a oe capactor are calle the eco orer crcut At frt we coer a pecal cla of the eco-orer crcut, amely a ere coecto of
More informationNew bounds on Poisson approximation to the distribution of a sum of negative binomial random variables
Sogklaaka J. Sc. Tchol. 4 () 4-48 Ma. -. 8 Ogal tcl Nw bouds o Posso aomato to th dstbuto of a sum of gatv bomal adom vaabls * Kat Taabola Datmt of Mathmatcs Faculty of Scc Buaha Uvsty Muag Chobu 3 Thalad
More informationl2 l l, i.e., phase k k k, [( ). ( ). ]. l1 l l, r, 2
ISSN: 77-3754 ISO 9:8 tfd Itto Jou of Egg d Iovtv choogy (IJEI Vou 7 Iu 7 Juy 8 o dft wv gtzd duty cyd Ajy Ghot Dtt of Ad Sc Mhj Suj Ittut of choogy Dh-58 Id d ( x ( x Abtct- h ffct of dut chg fuctuto
More informationLog1 Contest Round 2 Theta Complex Numbers. 4 points each. 5 points each
01 Log1 Cotest Roud Theta Complex Numbers 1 Wrte a b Wrte a b form: 1 5 form: 1 5 4 pots each Wrte a b form: 65 4 4 Evaluate: 65 5 Determe f the followg statemet s always, sometmes, or ever true (you may
More informationUniversity of Pavia, Pavia, Italy. North Andover MA 01845, USA
Iteatoal Joual of Optmzato: heoy, Method ad Applcato 27-5565(Pt) 27-6839(Ole) wwwgph/otma 29 Global Ifomato Publhe (HK) Co, Ltd 29, Vol, No 2, 55-59 η -Peudoleaty ad Effcecy Gogo Gog, Noma G Rueda 2 *
More informationLecture 14. P-N Junction Diodes: Part 3 Quantitative Analysis (Math, math and more math) Reading: Pierret 6.1
Lctur 4 - ucto ods art 3 Quattatv alyss Math, math ad mor math Radg rrt 6. Gorga Tch ECE 3040 - r. la oolttl Quattatv - od Soluto ssumtos stady stat codtos o- dgrat dog 3 o- dmsoal aalyss 4 low- lvl jcto
More informationChapter 5: Root Locus
Chater 5: Root Locu ey condton for Plottng Root Locu g n G Gven oen-loo tranfer functon G Charactertc equaton n g,,.., n Magntude Condton and Arguent Condton 5-3 Rule for Plottng Root Locu 5.3. Rule Rule
More informationLecture #11. A Note of Caution
ctur #11 OUTE uctos rvrs brakdow dal dod aalyss» currt flow (qualtatv)» morty carrr dstrbutos Radg: Chatr 6 Srg 003 EE130 ctur 11, Sld 1 ot of Cauto Tycally, juctos C dvcs ar formd by coutr-dog. Th quatos
More informationD. Bertsekas and R. Gallager, "Data networks." Q: What are the labels for the x-axis and y-axis of Fig. 4.2?
pd by J. Succ ECE 543 Octob 22 2002 Outl Slottd Aloh Dft Stblzd Slottd Aloh Uslottd Aloh Splttg Algoths Rfc D. Btsks d R. llg "Dt twoks." Rvw (Slottd Aloh): : Wht th lbls fo th x-xs d y-xs of Fg. 4.2?
More informationSIMULTANEOUS METHODS FOR FINDING ALL ZEROS OF A POLYNOMIAL
Joual of athmatcal Sccs: Advacs ad Applcatos Volum, 05, ags 5-8 SIULTANEUS ETHDS FR FINDING ALL ZERS F A LYNIAL JUN-SE SNG ollg of dc Yos Uvsty Soul Rpublc of Koa -mal: usopsog@yos.ac. Abstact Th pupos
More informationIntroduction to logistic regression
Itroducto to logstc rgrsso Gv: datast D { 2 2... } whr s a k-dmsoal vctor of ral-valud faturs or attrbuts ad s a bar class labl or targt. hus w ca sa that R k ad {0 }. For ampl f k 4 a datast of 3 data
More informationLecture 07: Poles and Zeros
Lecture 07: Poles ad Zeros Defto of poles ad zeros The trasfer fucto provdes a bass for determg mportat system respose characterstcs wthout solvg the complete dfferetal equato. As defed, the trasfer fucto
More informationAPPENDIX: STATISTICAL TOOLS
I. Nots o radom samplig Why do you d to sampl radomly? APPENDI: STATISTICAL TOOLS I ordr to masur som valu o a populatio of orgaisms, you usually caot masur all orgaisms, so you sampl a subst of th populatio.
More informationTheory study about quarter-wave-stack dielectric mirrors
Theor tud about quarter-wave-tack delectrc rror Stratfed edu tratted reflected reflected Stratfed edu tratted cdet cdet T T Frt, coder a wave roagato a tratfed edu. A we kow, a arbtrarl olared lae wave
More informationVIII Dynamics of Systems of Particles
VIII Dyacs of Systes of Patcles Cete of ass: Cete of ass Lea oetu of a Syste Agula oetu of a syste Ketc & Potetal Eegy of a Syste oto of Two Iteactg Bodes: The Reduced ass Collsos: o Elastc Collsos R whee:
More information[ ] 1+ lim G( s) 1+ s + s G s s G s Kacc SYSTEM PERFORMANCE. Since. Lecture 10: Steady-state Errors. Steady-state Errors. Then
SYSTEM PERFORMANCE Lctur 0: Stady-tat Error Stady-tat Error Lctur 0: Stady-tat Error Dr.alyana Vluvolu Stady-tat rror can b found by applying th final valu thorm and i givn by lim ( t) lim E ( ) t 0 providd
More informationOption Pricing in a Fractional Brownian Motion Environment
Opo Pcg a acoal owa Moo vom Cpa Ncula Acamy o coomc u ucha, omaa mal: cpc@yahoo.com h a: buay, Abac h pupo o h pap o oba a acoal lack-chol omula o h pc o a opo o vy [, ], a acoal lack-chol quao a a k-ual
More information( ) Thermal noise ktb (T is absolute temperature in kelvin, B is bandwidth, k is Boltzamann s constant) Shot noise
OISE Thermal oe ktb (T abolute temperature kelv, B badwdth, k Boltzama cotat) 3 k.38 0 joule / kelv ( joule /ecod watt) ( ) v ( freq) 4kTB Thermal oe refer to the ketc eergy of a body of partcle a a reult
More informationJournal of Physics: Conference Series. Related content. Recent citations. To cite this article: A Suparmi et al 2013 J. Phys.: Conf. Ser.
Jou of Phyc: Cofc S Aot Souto Of Schog Euto o Eckt Pott Cob Wth Tgootc Poch-T No-Ct Pott Ug oovk Poyo To ct th tc: A Su t J. Phy.: Cof. S. 9 w th tc o fo ut hct. t cott - Souto of Schog uto fo Th o Hoc
More informationChapter 11 Solutions ( ) 1. The wavelength of the peak is. 2. The temperature is found with. 3. The power is. 4. a) The power is
Chapt Solutios. Th wavlgth of th pak is pic 3.898 K T 3.898 K 373K 885 This cospods to ifad adiatio.. Th tpatu is foud with 3.898 K pic T 3 9.898 K 50 T T 5773K 3. Th pow is 4 4 ( 0 ) P σ A T T ( ) ( )
More informationAH CURRITUCK RESERVE LLC
TULL K OA,.. 22 W T VTY MAP OT TO AL OTH A (20) G OTH LG FMA ZO X UV TABL FMA ZO HA X FMA ZO X AH UTUK V LL POJT: PAL B HAYWOO & YTHA J WA XMPT UB MOYOK UTUK OUTY OTH AOLA GHT--WAY-AMPU V L TABL FMA ZO
More information2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission
/0/0 Topcs Power Flow Part Text: 0-0. Power Trassso Revsted Power Flow Equatos Power Flow Proble Stateet ECEGR 45 Power Systes Power Trassso Power Trassso Recall that for a short trassso le, the power
More informationχ be any function of X and Y then
We have show that whe we ae gve Y g(), the [ ] [ g() ] g() f () Y o all g ()() f d fo dscete case Ths ca be eteded to clude fuctos of ay ube of ado vaables. Fo eaple, suppose ad Y ae.v. wth jot desty fucto,
More informationHygienic Cable Glands
ygc bl Gld followg h cll WA l h Mufcug h l oo c y Bocholog du hcl du: vodg buld-u cy. Gl bl ygc l food d d ckgg of ology y o o d u of ud ll ld hcucl wh hy ovd h f u o h cl o h o dh ooh fh No hd cod o d
More informationNuclear Chemistry -- ANSWERS
Hoor Chstry Mr. Motro 5-6 Probl St Nuclar Chstry -- ANSWERS Clarly wrt aswrs o sparat shts. Show all work ad uts.. Wrt all th uclar quatos or th radoactv dcay srs o Urau-38 all th way to Lad-6. Th dcay
More informationPhys 2310 Fri. Oct. 23, 2017 Today s Topics. Begin Chapter 6: More on Geometric Optics Reading for Next Time
Py F. Oct., 7 Today Topc Beg Capte 6: Moe o Geometc Optc eadg fo Next Tme Homewok t Week HW # Homewok t week due Mo., Oct. : Capte 4: #47, 57, 59, 6, 6, 6, 6, 67, 7 Supplemetal: Tck ee ad e Sytem Pcple
More informationD. L. Bricker, 2002 Dept of Mechanical & Industrial Engineering The University of Iowa. CPL/XD 12/10/2003 page 1
D. L. Brcker, 2002 Dept of Mechacal & Idustral Egeerg The Uversty of Iowa CPL/XD 2/0/2003 page Capactated Plat Locato Proble: Mze FY + C X subject to = = j= where Y = j= X D, j =, j X SY, =,... X 0, =,
More informationIFYFM002 Further Maths Appendix C Formula Booklet
Ittol Foudto Y (IFY) IFYFM00 Futh Mths Appd C Fomul Booklt Rltd Documts: IFY Futh Mthmtcs Syllbus 07/8 Cotts Mthmtcs Fomul L Equtos d Mtcs... Qudtc Equtos d Rmd Thom... Boml Epsos, Squcs d Ss... Idcs,
More informationME 501A Seminar in Engineering Analysis Page 1
St Ssts o Ordar Drtal Equatos Novbr 7 St Ssts o Ordar Drtal Equatos Larr Cartto Mcacal Er 5A Sar Er Aalss Novbr 7 Outl Mr Rsults Rvw last class Stablt o urcal solutos Stp sz varato or rror cotrol Multstp
More informationGRAPHS IN SCIENCE. drawn correctly, the. other is not. Which. Best Fit Line # one is which?
5 9 Bt Ft L # 8 7 6 5 GRAPH IN CIENCE O of th thg ot oft a rto of a xrt a grah of o k. A grah a vual rrtato of ural ata ollt fro a xrt. o of th ty of grah you ll f ar bar a grah. Th o u ot oft a l grah,
More informationLecture 6 - SISO Loop Analysis
Lctr 6 - IO Loop Aal IO gl Ipt gl Otpt Aal: tablt rformac Robt EE39m - Wtr 003 otrol Egrg 6- ODE tablt Lapo tablt thor - olar tm tablt fto frt rct mtho xpotal corgc co mtho: Lapo fcto gralzato of rg pato
More informationUniversità degli Studi di Napoli Federico II, Largo S. Marcellino, Napoli, Italy
O o athatcal cocto btw th Cyclc Uv Iflatoay Uv -ac Iflato -ac cooloy a vaou cto of Nub hoy Mchl Nall Datto Scz lla a Uvtà l Stu Naol Fco II Lao S. Macllo Naol Italy Datto Matatca Alcazo R. Caccool Uvtà
More informationSome Different Perspectives on Linear Least Squares
Soe Dfferet Perspectves o Lear Least Squares A stadard proble statstcs s to easure a respose or depedet varable, y, at fed values of oe or ore depedet varables. Soetes there ests a deterstc odel y f (,,
More informationChapter 5 Properties of a Random Sample
Lecture 6 o BST 63: Statstcal Theory I Ku Zhag, /0/008 Revew for the prevous lecture Cocepts: t-dstrbuto, F-dstrbuto Theorems: Dstrbutos of sample mea ad sample varace, relatoshp betwee sample mea ad sample
More informationNote: Torque is prop. to current Stationary voltage is prop. to speed
DC Mach Cotrol Mathmatcal modl. Armatr ad orq f m m a m m r a a a a a dt d ψ ψ ψ ω Not: orq prop. to crrt Statoary voltag prop. to pd Mathmatcal modl. Fld magtato f f f f d f dt a f ψ m m f f m fλ h torq
More informationWeights Interpreting W and lnw What is β? Some Endnotes = n!ω if we neglect the zero point energy then ( )
Sprg Ch 35: Statstcal chacs ad Chcal Ktcs Wghts... 9 Itrprtg W ad lw... 3 What s?... 33 Lt s loo at... 34 So Edots... 35 Chaptr 3: Fudatal Prcpls of Stat ch fro a spl odl (drvato of oltza dstrbuto, also
More informationGENERALIZATIONS OF CEVA S THEOREM AND APPLICATIONS
GENERLIZTIONS OF CEV S THEOREM ND PPLICTIONS Floret Smaradache Uversty of New Mexco 200 College Road Gallup, NM 87301, US E-mal: smarad@um.edu I these paragraphs oe presets three geeralzatos of the famous
More informationStatics. Consider the free body diagram of link i, which is connected to link i-1 and link i+1 by joint i and joint i-1, respectively. = r r r.
Statcs Th cotact btw a mapulato ad ts vomt sults tactv ocs ad momts at th mapulato/vomt tac. Statcs ams at aalyzg th latoshp btw th actuato dv tous ad th sultat oc ad momt appld at th mapulato dpot wh
More informationL5 Polynomial / Spline Curves
L5 Polyomal / Sple Curves Cotets Coc sectos Polyomal Curves Hermte Curves Bezer Curves B-Sples No-Uform Ratoal B-Sples (NURBS) Mapulato ad Represetato of Curves Types of Curve Equatos Implct: Descrbe a
More informationCapacitated Plant Location Problem:
. L. Brcker, 2002 ept of Mechacal & Idustral Egeerg The Uversty of Iowa CPL/ 5/29/2002 page CPL/ 5/29/2002 page 2 Capactated Plat Locato Proble: where Mze F + C subect to = = =, =, S, =,... 0, =, ; =,
More information. The set of these sums. be a partition of [ ab, ]. Consider the sum f( x) f( x 1)
Chapter 7 Fuctos o Bouded Varato. Subject: Real Aalyss Level: M.Sc. Source: Syed Gul Shah (Charma, Departmet o Mathematcs, US Sargodha Collected & Composed by: Atq ur Rehma (atq@mathcty.org, http://www.mathcty.org
More informationFairing of Parametric Quintic Splines
ISSN 46-69 Eglad UK Joual of Ifomato ad omputg Scece Vol No 6 pp -8 Fag of Paametc Qutc Sples Yuau Wag Shagha Isttute of Spots Shagha 48 ha School of Mathematcal Scece Fuda Uvesty Shagha 4 ha { P t )}
More informationMinimizing spherical aberrations Exploiting the existence of conjugate points in spherical lenses
Mmzg sphecal abeatos Explotg the exstece of cojugate pots sphecal leses Let s ecall that whe usg asphecal leses, abeato fee magg occus oly fo a couple of, so called, cojugate pots ( ad the fgue below)
More informationIntegral Equation Methods. Jacob White. Thanks to Deepak Ramaswamy, Michal Rewienski, Xin Wang and Karen Veroy
Itroducto to Smulato - Lecture 22 Itegral Equato ethods Jacob Whte Thaks to Deepak Ramaswamy, chal Rewesk, X Wag ad Kare Veroy Outle Itegral Equato ethods Exteror versus teror problems Start wth usg pot
More informationSUNWAY UNIVERSITY BUSINESS SCHOOL SAMPLE FINAL EXAMINATION FOR FIN 3024 INVESTMENT MANAGEMENT
UNWA UNIVRIT BUIN HOOL AMPL FINAL AMINATION FOR FIN 34 INVTMNT MANAGMNT TION A A ALL qto th cto. Qto tha kg facg fo a ca. Th local bak ha ag to gv hm a loa fo 9% of th cot of th ca h ll pay th t cah a
More informationAssignment 7/MATH 247/Winter, 2010 Due: Friday, March 19. Powers of a square matrix
Assgmet 7/MATH 47/Wter, 00 Due: Frday, March 9 Powers o a square matrx Gve a square matrx A, ts powers A or large, or eve arbtrary, teger expoets ca be calculated by dagoalzg A -- that s possble (!) Namely,
More informationChapter 4 (Part 1): Non-Parametric Classification (Sections ) Pattern Classification 4.3) Announcements
Aoucemets No-Parametrc Desty Estmato Techques HW assged Most of ths lecture was o the blacboard. These sldes cover the same materal as preseted DHS Bometrcs CSE 90-a Lecture 7 CSE90a Fall 06 CSE90a Fall
More informationOrder Statistics from Exponentiated Gamma. Distribution and Associated Inference
It J otm Mth Scc Vo 4 9 o 7-9 Od Stttc fom Eottd Gmm Dtto d Aoctd Ifc A I Shw * d R A Bo G og of Edcto PO Bo 369 Jddh 438 Sd A G og of Edcto Dtmt of mthmtc PO Bo 469 Jddh 49 Sd A Atct Od tttc fom ottd
More informationLECTURE 8: Topics in Chaos Ricker Equation. Period doubling bifurcation. Period doubling cascade. A Quadratic Equation Ricker Equation 1.0. x x 4 0.
LECTURE 8: Topcs Chaos Rcker Equato (t ) = (t ) ep( (t )) Perod doulg urcato Perod doulg cascade 9....... A Quadratc Equato Rcker Equato (t ) = (t ) ( (t ) ). (t ) = (t ) ep( (t )) 6. 9 9. The perod doulg
More informationCorrelation in tree The (ferromagnetic) Ising model
5/3/00 :\ jh\slf\nots.oc\7 Chaptr 7 Blf propagato corrlato tr Corrlato tr Th (frromagtc) Isg mol Th Isg mol s a graphcal mol or par ws raom Markov fl cosstg of a urct graph wth varabls assocat wth th vrtcs.
More informationCPT-Frames for PT-symmetric Hamiltonians
-a fo P-ytc Haltoa Hua-X Cao Zh-Hua Guo Zhg-L Ch Collg of athatc ad Ifoato Scc Shaax Noal Uvty X'a 76 Cha al: caohx@uduc Abtact: P-ytc quatu chac a altatv foulato of quatu chac whch th athatcal axo of
More informationEE 380. Linear Control Systems. Lecture 10
EE 380 Linear Control Systems Lecture 10 Professor Jeffrey Schiano Department of Electrical Engineering Lecture 10. 1 Lecture 10 Topics Stability Definitions Methods for Determining Stability Lecture 10.
More informationIdeal multigrades with trigonometric coefficients
Ideal multgrades wth trgoometrc coeffcets Zarathustra Brady December 13, 010 1 The problem A (, k) multgrade s defed as a par of dstct sets of tegers such that (a 1,..., a ; b 1,..., b ) a j = =1 for all
More informationCentral County Fire & Rescue - Station #5
A CL UT CHUL G : HT T : PLA AK. L UB V CU TYP. UPPLY ALW (C) TT BTU/H CLG CAPACTY HATG CAPACTY LCTC A BTU/H B T A WB BTU/H T A B VLT/PH CA CP U (dba) WGHT (lbs) CU-1 AK XZQ07 BUK 117 Cassette 320 6325
More informationFeature Selection: Part 2. 1 Greedy Algorithms (continued from the last lecture)
CSE 546: Mache Learg Lecture 6 Feature Selecto: Part 2 Istructor: Sham Kakade Greedy Algorthms (cotued from the last lecture) There are varety of greedy algorthms ad umerous amg covetos for these algorthms.
More informationsuch that for 1 From the definition of the k-fibonacci numbers, the firsts of them are presented in Table 1. Table 1: First k-fibonacci numbers F 1
Scholas Joual of Egeeg ad Techology (SJET) Sch. J. Eg. Tech. 0; (C):669-67 Scholas Academc ad Scetfc Publshe (A Iteatoal Publshe fo Academc ad Scetfc Resouces) www.saspublshe.com ISSN -X (Ole) ISSN 7-9
More informationMOSFET Internal Capacitances
ead MOSFET Iteral aactace S&S (5ed): Sec. 4.8, 4.9, 6.4, 6.6 S&S (6ed): Sec. 9., 9.., 9.3., 9.4-9.5 The curret-voltae relatoh we have dcued thu far for the MOSFET cature the ehavor at low ad oderate frequece.
More informationChapter 5 Special Discrete Distributions. Wen-Guey Tzeng Computer Science Department National Chiao University
Chatr 5 Scal Dscrt Dstrbutos W-Guy Tzg Comutr Scc Dartmt Natoal Chao Uvrsty Why study scal radom varabls Thy aar frqutly thory, alcatos, statstcs, scc, grg, fac, tc. For aml, Th umbr of customrs a rod
More informationProfessor Wei Zhu. 1. Sampling from the Normal Population
AMS570 Pofesso We Zhu. Samplg fom the Nomal Populato *Example: We wsh to estmate the dstbuto of heghts of adult US male. It s beleved that the heght of adult US male follows a omal dstbuto N(, ) Def. Smple
More information