Contact instability. integral-action motion controller coupling to more mass evokes instability

Size: px
Start display at page:

Download "Contact instability. integral-action motion controller coupling to more mass evokes instability"

Transcription

1 Conac insabiliy Probl: Conac and inracion wih objcs coupls hir dynaics ino h anipulaor conrol sys This chang ay caus insabiliy Exapl: ingral-acion oion conrollr coupling o or ass voks insabiliy Ipdanc conrol affords a soluion: Mak h anipulaor ipdanc bhav lik a passiv physical sys Hogan, N. (1988) On h Sabiliy of Manipulaors Prforing Conac Tasks, IEEE Journal of Roboics and Auoaion, 4: Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 1

2 Exapl: Ingral-acion oion conrollr Sys: (s 2 + bs + k) x = cu - f Mass rsraind by linar spring & x c = dapr, drivn by conrol acuaor & u s 2 + bs + k xrnal forc Conrollr: g u = (r x) Ingral of rajcory rror s Sys + conrollr: (s 3 + bs 2 + ks + cg) x = cgr - s f x cg = 3 r s + bs 2 + ks + cg s: Laplac variabl Isolad sabiliy: x: displacn variabl bk f: xrnal forc variabl Sabiliy rquirs uppr bound on > g u: conrol inpu variabl conrollr gain c r: rfrnc inpu variabl : ass consan b: daping consan k: siffnss consan c: acuaor forc consan g: conrollr gain consan Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 2

3 Exapl (coninud) Objc ass: f = s 2 x 3 Coupld sys: [( + )s + bs 2 + ks + cg] x = cgr x cg = r ( + )s 3 + bs 2 + ks + cg Coupld sabiliy: bk > cg( + ) : objc ass consan Choos any posiiv conrollr gain bk > g ha will nsur isolad sabiliy: c Tha conrolld sys is dsabilizd by coupling o a sufficinly larg ass > bk cg Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 3

4 Probl & approach Probl: Find condiions o avoid insabiliy du o conac & inracion Approach: Dsign h anipulaor conrollr o ipos a dsird inracion-por bhavior Dscrib h anipulaor and is conrollr as an quivaln physical sys Find an (quivaln) physical bhavior ha will avoid conac/coupld insabiliy Us our knowldg of physical sys bhavior and how i is consraind Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 4

5 Gnral objc dynaics Assu: L( q, q ) = E k (, q Lagrangian dynaics d L d q L Passiv = P D ( q, q ) q Sabl in isolaion p = L q = E * k q Lgndr ransfor: * E k ( p, q ) = p q E k ( q, q ) Kinic co-nrgy o kinic H ( p q ) = p q q, ) * q ) E p ( q ) nrgy, L( q Lagrangian for o Hailonian for Hailonian = oal sys nrgy H ( p, q ) = E k (, q q = H p p = H q D + P q : (gnralizd) coordinas L: Lagrangian E * k : kinic co-nrgy p ) + E p ( q ) E p : ponial nrgy D : dissipaiv (gnralizd) forcs P : xognous (gnralizd) forcs H : Hailonian Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 5

6 Sir Willia Rowan Hailon Willia Rowan Hailon Born 1805, Dublin, Irland Knighd 1835 Firs Forign Associa lcd o U.S. Naional Acady of Scincs Did 1865 Accoplishns Opics Dynaics Quarnions Linar opraors Graph hory and or hp:// HisMah/Popl/Hailon/ Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 6

7 Passiviy Basic ida: sys canno supply powr indfinily Many alrnaiv dfiniions, h bs ar nrgy-basd Wya al. (1981) Wya, J. L., Chua, L. O., Gann, J. W., Göknar, I. C. and Grn, D. N. (1981) Enrgy Concps in h Sa-Spac Thory Passiv: oal sys nrgy is lowr-boundd of Nonlinar n-pors: Par I Passiviy. Mor prcisly, availabl nrgy is lowr-boundd IEEE Transacions on Circuis and Syss, Vol. CAS-28, No. 1, pp Powr flux ay b posiiv or ngaiv Convnion: powr posiiv in Powr in (posiiv) no lii Powr ou (ngaiv) only unil sord nrgy xhausd You can sor as uch nrgy as you wan bu you can wihdraw only wha was iniially sord (a fini aoun) Passiviy sabiliy Exapl: Inracion bwn opposily chargd bads, on fixd, on fr o ov on a wir Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 7

8 Sabiliy Sabiliy: Convrgnc o quilibriu Us Lyapunov s scond hod A gnralizaion of nrgy-basd analysis Lyapunov funcion: posiiv-dfini non-dcrasing sa funcion Sufficin condiion for asypoic sabiliy: Ngaiv si-dfiniiv ra of chang of Lyapunov funcion For physical syss oal nrgy ay b a usful candida Lyapunov funcion Equilibria ar a an nrgy inia Dissipaion nrgy rducion convrgnc o quilibriu Hailonian for dscribs dynaics in rs of oal nrgy Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 8

9 Sady sa & quilibriu Sady sa: Kinic nrgy is a posiiv-dfini non-dcrasing funcion of gnralizd onu Assu: Dissipaiv (inrnal) forcs vanish in sady-sa Ruls ou saic (Coulob) fricion Ponial nrgy is a posiivdfini non-dcrasing funcion of gnralizd displacn Sady-sa is a uniqu quilibriu configuraion Sady sa is quilibriu a h origin of h sa spac {p,q } q = 0 = H p = E k p E p = 0 p = 0 k p = 0 = H q D + P Assu D ( 0, q ) = 0 Isolad P = 0 H E k E + p = q q q p = 0 p = 0 E k H E = p = 0 q q q p = 0 p = 0 E q = 0 q = 0 p Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 9

10 Noaion Rprsn parial drivaivs using H H subscrips q = q H is a scalar H h Hailonian sa funcion H p = p H q is a vcor Parial drivaivs of h Hailonian q = H p ( p, q ) w.r.. ach ln of q H is a vcor p Parial drivaivs of h Hailonian w.r.. ach ln of p p, D ( p, )+ P = H q ( p q ) q Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 10

11 Isolad sabiliy q q H pp Us h Hailonian as a Lyapunov dh d = H + funcion dh d = HqH p + H p ( H q D + P ) Posiiv-dfini non-dcrasing funcion of sa dh d = q P q D Ra of chang of sord nrgy = powr in powr dissipad Isolad P Sufficin condiion for asypoic = 0 sabiliy: dh d = q D Dissipaiv gnralizd forcs ar a posiiv-dfini funcion of q D > 0 dh d < 0 p 0 gnralizd onu Dissipaion ay vanish if p = 0 and sys is no a quilibriu Bu p = 0 dos no dscrib any sys rajcory LaSall-Lfshz hor Enrgy dcrass on all non- quilibriu sys rajcoris Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 11

12 Physical sys inracion Inracion of gnral dynaic Inracion of physical syss syss If u i and y i ar powr conjugas Many possibiliis: cascad, G i ar ipdancs or adiancs paralll, fdback Powr-coninuous conncion: y 1 = G 1 ( s ) u Two linar syss: y = G 2 () 1 Powr ino coupld sys 2 s u 2 us qual n powr ino coponn syss Cascad coupling y 3 = y 2 quaions: u y u 2 = y 3 3 = u 1y 1 + u 2 y 2 1 u 1 = u 3 Cobinaion: y 3 = G 3 ( s ) u 3 G 3 ()= s G 2() s G 1() s No powr-coninuous y u y u 2 + y u Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 12

13 Inracion por Assu coupling occurs a a s of poins on h objc X This dfins an inracion por X is as a funcion of gnralizd X = L ( q ) coordinas q Gnralizd vlociy drins V = J ( q ) q por vlociy Por forc drins gnralizd P = J ( q ) F forc Ths rlaions ar always wlldfind Guarand by h dfiniion of gnralizd coordinas Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 13

14 Sipl ipdanc Targ (idal) bhavior of anipulaor F z = K (X z X o ) + B ( V z ) Elasic and viscous bhavior In Hailonian for: Hailonian = ponial nrgy q Assu V = 0 for sabiliy analysis o p = H zq ( q )+ B ( V ) q z = X z X o z z z z = V z V o H z ( q )= K ( q )dq F z = p z z z z Isolad: V z = 0 or F z = 0 V o = V z = 0 q = consan F z = consan z Sufficin condiion for isolad asypoic sabiliy: F z = 0 H zq = B dh z d = H zq q z = B q z B q z > 0 0 Unconsraind ass in Hailonian q = H p ( p ) H (p ) = 1 p M for p = F Hailonian = kinic nrgy Arbirarily sall ass V = q V z 1 p 2 Coupl hs wih coon vlociy V = V z F V + z F V z = 0 Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 14

15 Mass coupld o sipl ipdanc Hailonian for H ( p, q z ) = H (p ) + H z(q z ) Toal nrgy = su of coponns p = H q ( q z ) B ( H p (p )) q z = H p ( p ) Assu posiiv-dfini, nondcrasing ponial nrgy Equilibriu a (p,q z ) = (0,0 ) dh d = H p p + H Ra of chang of Hailonian: dh d = H H q H B + H H p = q B Sufficin condiion for asypoic z B sabiliy And bcaus ass is unconsraind, sabiliy is global q > 0 p 0 q q z p p q z Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 15

16 Gnral objc coupld o sipl ipdanc Toal Hailonian (nrgy) is su H ( p, q ) = H (, q z z of coponns H ( p, q ) = E k ( p, q ) + E p (q ) + H z( ( q o Assu Boh syss a quilibriu p ) + H (q ) Inracion por posiions coincid a coupling Toal nrgy is a posiiv-dfini, dh d = H J H + H H H H non-dcrasing sa funcion H p D p J H zq p J B Ra of chang of nrgy: dh d = q D q B zq p q p p q z Th prvious condiions sufficin for sabiliy of Objc in isolaion Sipl ipdanc coupld o arbirarily sall ass nsur global asypoic coupld sabiliy Enrgy dcrass on all non-quilibriu sa rajcoris Tru for objcs of arbirary dynaic ordr L ) X ) Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 16

17 Sipl ipdanc conrollr iplnaion 1 p I 1 ( q ) Robo odl: q = H p H = 2 p J Inrial chanis, saically p = H q D + P a + F balancd (or zro graviy), ffor- V = J q conrolld acuaors Hailonian = kinic nrgy X = L ( q ) Conrollr: = J { K ( L (q ) X ) B ( J q )} Transfor sipl ipdanc o anipulaor configuraion spac P a o q Conrollr coupld o robo: = H cp Sa srucur as a physical p = H cq D J B + J F sys wih Hailonian H c V = J q H c = H + H q : gnralizd coordinas (configuraion variabls) z X = L ( q ) p : gnralizd ona H : Hailonian I : inria D : dissipaiv (gnralizd) forcs P a : acuaor (gnralizd) forcs X,V,F : inracion por posiion, vlociy, forc L,J : kinaic quaions, Jacobian Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 17

18 Sipl ipdanc conrollr isolad sabiliy cq cp cp H cp Ra of chang of Hailonian: dh c d = H H H H cq D Enrgy dcrass on all non- H cp J B + H cpj F quilibriu rajcoris if dh d = q D V B + V F Sys is isolad F = 0 c Dissipaiv forcs ar posiiv- F = 0 dh c d = q D V B dfini q D > 0, V B > 0 p 0 Miniu nrgy is a q z = 0, X = X o Assu: Bu his ay no dfin a uniqu Non-rdundan chanis anipulaor configuraion Hailonian is a posiiv-dfini Non-singular Jacobian non-dcrasing funcion of q z bu Thn usually no of configuraion q Hailonian is posiiv-dfini & Inracion-por ipdanc ay no non-dcrasing in a rgion abou conrol inrnal dgrs of frdo q = L 1 ( X ) Could add rs o conrollr bu for sipliciy Local asypoic sabiliy o Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 18

19 Sipl ipdanc conrollr coupld sabiliy q ( q, ) Coupling kinaics q = q Coupling rlas q o q bu no nd o solv xplicily Toal Hailonian (nrgy) is su H = H ( p, q ) + H c ( p, q ) of coponns Ra of chang of Hailonian q p p q dh d = H H + H ( H D + J F ) dh d = q D + q J F q ( D + J B )+ q J F cq cp cp J B + J ) dh d = q D + V F q D V B + V F + H H + H ( H cq D F Coupling canno gnra powr V F + V F = 0 Th prvious condiions sufficin for sabiliy of Objc in isolaion Sipl ipdanc conrolld robo nsur local asypoic coupld sabiliy V dh d = q D q D B Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 19

20 Kinaic rrors ( ( o B ( )} Assu conrollr and inracion ~ ~ ~ P a = J { K L q ) X ) J q por kinaics diffr Conrollr kinaics aps ~ ~ ~ X = L ( q ) L ( q ) configuraion o a poin X Corrsponding ponial funcion ~ ~ ~ H z ( q ) = H z ( q z ) = H z ( L ( q ) X o ) is posiiv-dfini, non-dcrasing ~ ~ in a rgion abou q 1 = L ( X o ) Assu slf-consisn conrollr ~ ~ L q = J kinaics ~ ~ dx d = V = ~ J ( q ) q h (rronous) Jacobian is h corrc drivaiv of h ~ (rronous) kinaics ~ ~ ~ dh z d = H L zq q = H zq J q = Hzq V q Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 20

21 Kinaic rrors (coninud) ~ ~ Hailonian of his conrollr H c ( p, q ) = H ( p, q ) + H z ( q z ) ~ ~ coupld o h robo H c ( p, q ) = H ( p, q ) + H z ( ( q L ) X o ) q = H p Hailonian sa quaions ~ ~ p = H q D J H zq J B + F J ~ ~ dh c d = H zq J H p + HqHp Ra of chang of h Hailonian ~ ~ + H ( H D p q J H zq J B + J F ) ~ ~ dh c d = q D V B + J F In isolaion ~ ~ F = 0 dh c d = q D V B Prvious condiions on D & B ar sufficin for isolad local asypoic sabiliy Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 21

22 Insnsiiviy o kinaic rrors Th sa condiions ar also sufficin o nsur local ~ asypoic coupld sabiliy H, = E k ( p q ) + E ~ p (q ) + Coupld sys Hailonian and H ( p, q ) + H z ( L ( q ) X o ) is ra of chang: ~ ~ dh d = q D q D V B Sabiliy propris ar insnsiiv o kinaic rrors Providd hy ar slf-consisn No ha hs rsuls do no rquir sall kinaic rrors Could aris whn conac occurs a unxpcd locaions.g., on h robo links rahr han h nd-poin Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 22

23 Paralll & fdback conncions Powr coninuiy y 3 u 3 = y 2 u 2 + y 1 u 1 Paralll conncion quaions Powr balanc OK Fdback conncion quaions Powr balanc OK y 3 = ± y 2 ± y 1 u 3 = u 2 = y u u 1 = ± y u ± y u y 3 = y 1 = u 2 u 1 = u 3 y 2 u 1y 1 = u 3 y 3 y 2 u 2 Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 23

24 Suary rarks Inracion sabiliy Srucur ars Th abov rsuls can b xndd Dynaics of physical syss ar Nurally sabl objcs consraind in usful ways Kinaic consrains I ay b bnficial o ipos no dynaics physical sys srucur on a Inrfac dynaics gnral dynaic sys.g., du o snsors.g. a robo conrollr A sipl ipdanc can provid a robus soluion o h conac insabiliy probl Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 24

25 So ohr Irishn of no Bishop Gorg Brkly Robr Boyl John Boyd Dunlop Gorg Francis Fizgrald Willia Rowan Hailon Willia Thoson (Lord Klvin) Josph Laror Charls Parsons Osborn Rynolds Gorg Gabril Soks Mod. Si. Dyn. Sys. Inracion Sabiliy Nvill Hogan pag 25

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

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

Elementary Differential Equations and Boundary Value Problems

Elementary Differential Equations and Boundary Value Problems Elmnar Diffrnial Equaions and Boundar Valu Problms Boc. & DiPrima 9 h Ediion Chapr : Firs Ordr Diffrnial Equaions 00600 คณ ตศาสตร ว ศวกรรม สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา /55 ผศ.ดร.อร ญญา ผศ.ดร.สมศ

More information

C From Faraday's Law, the induced voltage is, C The effect of electromagnetic induction in the coil itself is called selfinduction.

C From Faraday's Law, the induced voltage is, C The effect of electromagnetic induction in the coil itself is called selfinduction. Inducors and Inducanc C For inducors, v() is proporional o h ra of chang of i(). Inducanc (con d) C Th proporionaliy consan is h inducanc, L, wih unis of Hnris. 1 Hnry = 1 Wb / A or 1 V sc / A. C L dpnds

More information

Midterm exam 2, April 7, 2009 (solutions)

Midterm exam 2, April 7, 2009 (solutions) Univrsiy of Pnnsylvania Dparmn of Mahmaics Mah 26 Honors Calculus II Spring Smsr 29 Prof Grassi, TA Ashr Aul Midrm xam 2, April 7, 29 (soluions) 1 Wri a basis for h spac of pairs (u, v) of smooh funcions

More information

Voltage v(z) ~ E(z)D. We can actually get to this wave behavior by using circuit theory, w/o going into details of the EM fields!

Voltage v(z) ~ E(z)D. We can actually get to this wave behavior by using circuit theory, w/o going into details of the EM fields! Considr a pair of wirs idal wirs ngh >, say, infinily long olag along a cabl can vary! D olag v( E(D W can acually g o his wav bhavior by using circui hory, w/o going ino dails of h EM filds! Thr

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

CSE 245: Computer Aided Circuit Simulation and Verification

CSE 245: Computer Aided Circuit Simulation and Verification CSE 45: Compur Aidd Circui Simulaion and Vrificaion Fall 4, Sp 8 Lcur : Dynamic Linar Sysm Oulin Tim Domain Analysis Sa Equaions RLC Nwork Analysis by Taylor Expansion Impuls Rspons in im domain Frquncy

More information

On the Speed of Heat Wave. Mihály Makai

On the Speed of Heat Wave. Mihály Makai On h Spd of Ha Wa Mihály Maai maai@ra.bm.hu Conns Formulaion of h problm: infini spd? Local hrmal qulibrium (LTE hypohsis Balanc quaion Phnomnological balanc Spd of ha wa Applicaion in plasma ranspor 1.

More information

5. An object moving along an x-coordinate axis with its scale measured in meters has a velocity of 6t

5. An object moving along an x-coordinate axis with its scale measured in meters has a velocity of 6t AP CALCULUS FINAL UNIT WORKSHEETS ACCELERATION, VELOCTIY AND POSITION In problms -, drmin h posiion funcion, (), from h givn informaion.. v (), () = 5. v ()5, () = b g. a (), v() =, () = -. a (), v() =

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

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

Wave Equation (2 Week)

Wave Equation (2 Week) Rfrnc Wav quaion ( Wk 6.5 Tim-armonic filds 7. Ovrviw 7. Plan Wavs in Losslss Mdia 7.3 Plan Wavs in Loss Mdia 7.5 Flow of lcromagnic Powr and h Poning Vcor 7.6 Normal Incidnc of Plan Wavs a Plan Boundaris

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

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15]

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15] S.Y. B.Sc. (IT) : Sm. III Applid Mahmaics Tim : ½ Hrs.] Prlim Qusion Papr Soluion [Marks : 75 Q. Amp h following (an THREE) 3 6 Q.(a) Rduc h mari o normal form and find is rank whr A 3 3 5 3 3 3 6 Ans.:

More information

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule Lcur : Numrical ngraion Th Trapzoidal and Simpson s Rul A problm Th probabiliy of a normally disribud (man µ and sandard dviaion σ ) vn occurring bwn h valus a and b is B A P( a x b) d () π whr a µ b -

More information

General Article Application of differential equation in L-R and C-R circuit analysis by classical method. Abstract

General Article Application of differential equation in L-R and C-R circuit analysis by classical method. Abstract Applicaion of Diffrnial... Gnral Aricl Applicaion of diffrnial uaion in - and C- circui analysis by classical mhod. ajndra Prasad gmi curr, Dparmn of Mahmaics, P.N. Campus, Pokhara Email: rajndraprasadrgmi@yahoo.com

More information

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

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

More information

An Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT

An Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT [Typ x] [Typ x] [Typ x] ISSN : 974-7435 Volum 1 Issu 24 BioTchnology 214 An Indian Journal FULL PAPE BTAIJ, 1(24), 214 [15197-1521] A sag-srucurd modl of a singl-spcis wih dnsiy-dpndn and birh pulss LI

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

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS Answr Ky Nam: Da: UNIT # EXPONENTIAL AND LOGARITHMIC FUNCTIONS Par I Qusions. Th prssion is quivaln o () () 6 6 6. Th ponnial funcion y 6 could rwrin as y () y y 6 () y y (). Th prssion a is quivaln o

More information

EXERCISE - 01 CHECK YOUR GRASP

EXERCISE - 01 CHECK YOUR GRASP DIFFERENTIAL EQUATION EXERCISE - CHECK YOUR GRASP 7. m hn D() m m, D () m m. hn givn D () m m D D D + m m m m m m + m m m m + ( m ) (m ) (m ) (m + ) m,, Hnc numbr of valus of mn will b. n ( ) + c sinc

More information

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +

More information

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control MEM 355 Prformanc Enhancmn of Dynamical Sysms A Firs Conrol Problm - Cruis Conrol Harry G. Kwany Darmn of Mchanical Enginring & Mchanics Drxl Univrsiy Cruis Conrol ( ) mv = F mg sinθ cv v +.2v= u 9.8θ

More information

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 259] B-Trees

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 259] B-Trees CPSC 211 Daa Srucurs & Implmnaions (c) Txas A&M Univrsiy [ 259] B-Trs Th AVL r and rd-black r allowd som variaion in h lnghs of h diffrn roo-o-laf pahs. An alrnaiv ida is o mak sur ha all roo-o-laf pahs

More information

7.4 QUANTUM MECHANICAL TREATMENT OF FLUCTUATIONS *

7.4 QUANTUM MECHANICAL TREATMENT OF FLUCTUATIONS * Andri Tokmakoff, MIT Dparmn of Chmisry, 5/19/5 7-11 7.4 QUANTUM MECANICAL TREATMENT OF FLUCTUATIONS * Inroducion and Prviw Now h origin of frquncy flucuaions is inracions of our molcul (or mor approprialy

More information

Voltage v(z) ~ E(z)D. We can actually get to this wave behavior by using circuit theory, w/o going into details of the EM fields!

Voltage v(z) ~ E(z)D. We can actually get to this wave behavior by using circuit theory, w/o going into details of the EM fields! Considr a pair of wirs idal wirs ngh >, say, infinily long olag along a cabl can vary! D olag v( E(D W can acually g o his wav bhavior by using circui hory, w/o going ino dails of h EM filds! Thr

More information

A HAMILTON-JACOBI TREATMENT OF DISSIPATIVE SYSTEMS

A HAMILTON-JACOBI TREATMENT OF DISSIPATIVE SYSTEMS Europan Scinific Journal Ocobr 13 diion vol9, No3 ISSN: 1857 7881 (Prin) - ISSN 1857-7431 A AMILTON-JACOBI TREATMENT OF DISSIPATIVE SYSTEMS Ola A Jarab'ah Tafila Tchnical Univrsiy, Tafila, Jordan Khald

More information

Homework 2 Solutions

Homework 2 Solutions Mah 308 Differenial Equaions Fall 2002 & 2. See he las page. Hoework 2 Soluions 3a). Newon s secon law of oion says ha a = F, an we know a =, so we have = F. One par of he force is graviy, g. However,

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

A Backstepping Simple Adaptive Control Application to Flexible Space Structures

A Backstepping Simple Adaptive Control Application to Flexible Space Structures Chins Journal of Aronauics 5 (01) 446-45 Conns liss availabl a cincdirc Chins Journal of Aronauics journal hompag: www.lsvir.com/loca/cja A Backspping impl Adapiv Conrol Applicaion o Flxibl pac rucurs

More information

Charging of capacitor through inductor and resistor

Charging of capacitor through inductor and resistor cur 4&: R circui harging of capacior hrough inducor and rsisor us considr a capacior of capacianc is conncd o a D sourc of.m.f. E hrough a rsisr of rsisanc R, an inducor of inducanc and a y K in sris.

More information

whereby we can express the phase by any one of the formulas cos ( 3 whereby we can express the phase by any one of the formulas

whereby we can express the phase by any one of the formulas cos ( 3 whereby we can express the phase by any one of the formulas Third In-Class Exam Soluions Mah 6, Profssor David Lvrmor Tusday, 5 April 07 [0] Th vrical displacmn of an unforcd mass on a spring is givn by h 5 3 cos 3 sin a [] Is his sysm undampd, undr dampd, criically

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

The Science of Monetary Policy

The Science of Monetary Policy Th Scinc of Monary Policy. Inroducion o Topics of Sminar. Rviw: IS-LM, AD-AS wih an applicaion o currn monary policy in Japan 3. Monary Policy Sragy: Inrs Ra Ruls and Inflaion Targing (Svnsson EER) 4.

More information

Logistic equation of Human population growth (generalization to the case of reactive environment).

Logistic equation of Human population growth (generalization to the case of reactive environment). Logisic quaion of Human populaion growh gnralizaion o h cas of raciv nvironmn. Srg V. Ershkov Insiu for Tim aur Exploraions M.V. Lomonosov's Moscow Sa Univrsi Lninski gor - Moscow 999 ussia -mail: srgj-rshkov@andx.ru

More information

Double Slits in Space and Time

Double Slits in Space and Time Doubl Slis in Sac an Tim Gorg Jons As has bn ror rcnly in h mia, a am l by Grhar Paulus has monsra an inrsing chniqu for ionizing argon aoms by using ulra-shor lasr ulss. Each lasr uls is ffcivly on an

More information

Microscopic Flow Characteristics Time Headway - Distribution

Microscopic Flow Characteristics Time Headway - Distribution CE57: Traffic Flow Thory Spring 20 Wk 2 Modling Hadway Disribuion Microscopic Flow Characrisics Tim Hadway - Disribuion Tim Hadway Dfiniion Tim Hadway vrsus Gap Ahmd Abdl-Rahim Civil Enginring Dparmn,

More information

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

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

More information

H is equal to the surface current J S

H is equal to the surface current J S Chapr 6 Rflcion and Transmission of Wavs 6.1 Boundary Condiions A h boundary of wo diffrn mdium, lcromagnic fild hav o saisfy physical condiion, which is drmind by Maxwll s quaion. This is h boundary condiion

More information

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument Inrnaional Rsarch Journal of Applid Basic Scincs 03 Aailabl onlin a wwwirjabscom ISSN 5-838X / Vol 4 (): 47-433 Scinc Eplorr Publicaions On h Driais of Bssl Modifid Bssl Funcions wih Rspc o h Ordr h Argumn

More information

2.1. Differential Equations and Solutions #3, 4, 17, 20, 24, 35

2.1. Differential Equations and Solutions #3, 4, 17, 20, 24, 35 MATH 5 PS # Summr 00.. Diffrnial Equaions and Soluions PS.# Show ha ()C #, 4, 7, 0, 4, 5 ( / ) is a gnral soluion of h diffrnial quaion. Us a compur or calculaor o skch h soluions for h givn valus of h

More information

CHAPTER. Linear Systems of Differential Equations. 6.1 Theory of Linear DE Systems. ! Nullcline Sketching. Equilibrium (unstable) at (0, 0)

CHAPTER. Linear Systems of Differential Equations. 6.1 Theory of Linear DE Systems. ! Nullcline Sketching. Equilibrium (unstable) at (0, 0) CHATER 6 inar Sysms of Diffrnial Equaions 6 Thory of inar DE Sysms! ullclin Skching = y = y y υ -nullclin Equilibrium (unsabl) a (, ) h nullclin y = υ nullclin = h-nullclin (S figur) = + y y = y Equilibrium

More information

Lagrangian for RLC circuits using analogy with the classical mechanics concepts

Lagrangian for RLC circuits using analogy with the classical mechanics concepts Lagrangian for RLC circuis using analogy wih h classical mchanics concps Albrus Hariwangsa Panuluh and Asan Damanik Dparmn of Physics Educaion, Sanaa Dharma Univrsiy Kampus III USD Paingan, Maguwoharjo,

More information

Let s look again at the first order linear differential equation we are attempting to solve, in its standard form:

Let s look again at the first order linear differential equation we are attempting to solve, in its standard form: Th Ingraing Facor Mhod In h prvious xampls of simpl firs ordr ODEs, w found h soluions by algbraically spara h dpndn variabl- and h indpndn variabl- rms, and wri h wo sids of a givn quaion as drivaivs,

More information

A Condition for Stability in an SIR Age Structured Disease Model with Decreasing Survival Rate

A Condition for Stability in an SIR Age Structured Disease Model with Decreasing Survival Rate A Condiion for abiliy in an I Ag rucurd Disas Modl wih Dcrasing urvival a A.K. upriana, Edy owono Dparmn of Mahmaics, Univrsias Padjadjaran, km Bandung-umng 45363, Indonsia fax: 6--7794696, mail: asupria@yahoo.com.au;

More information

Why Laplace transforms?

Why Laplace transforms? MAE4 Linar ircui Why Lalac ranform? Firordr R cc v v v KVL S R inananou for ach Subiu lmn rlaion v S Ordinary diffrnial quaion in rm of caacior volag Lalac ranform Solv Invr LT V u, v Ri, i A R V A _ v

More information

On Ψ-Conditional Asymptotic Stability of First Order Non-Linear Matrix Lyapunov Systems

On Ψ-Conditional Asymptotic Stability of First Order Non-Linear Matrix Lyapunov Systems In. J. Nonlinar Anal. Appl. 4 (213) No. 1, 7-2 ISSN: 28-6822 (lcronic) hp://www.ijnaa.smnan.ac.ir On Ψ-Condiional Asympoic Sabiliy of Firs Ordr Non-Linar Marix Lyapunov Sysms G. Sursh Kumar a, B. V. Appa

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

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

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

More information

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

Thus the force is proportional but opposite to the displacement away from equilibrium.

Thus the force is proportional but opposite to the displacement away from equilibrium. Chaper 3 : Siple Haronic Moion Hooe s law saes ha he force (F) eered by an ideal spring is proporional o is elongaion l F= l where is he spring consan. Consider a ass hanging on a he spring. In equilibriu

More information

Applied Statistics and Probability for Engineers, 6 th edition October 17, 2016

Applied Statistics and Probability for Engineers, 6 th edition October 17, 2016 Applid Saisics and robabiliy for Enginrs, 6 h diion Ocobr 7, 6 CHATER Scion - -. a d. 679.. b. d. 88 c d d d. 987 d. 98 f d.. Thn, = ln. =. g d.. Thn, = ln.9 =.. -7. a., by symmry. b.. d...6. 7.. c...

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

Lecture 23 Damped Motion

Lecture 23 Damped Motion Differenial Equaions (MTH40) Lecure Daped Moion In he previous lecure, we discussed he free haronic oion ha assues no rearding forces acing on he oving ass. However No rearding forces acing on he oving

More information

Control Systems. Modelling Physical Systems. Assoc.Prof. Haluk Görgün. Gears DC Motors. Lecture #5. Control Systems. 10 March 2013

Control Systems. Modelling Physical Systems. Assoc.Prof. Haluk Görgün. Gears DC Motors. Lecture #5. Control Systems. 10 March 2013 Lcur #5 Conrol Sy Modlling Phyicl Sy Gr DC Moor Aoc.Prof. Hluk Görgün 0 Mrch 03 Conrol Sy Aoc. Prof. Hluk Görgün rnfr Funcion for Sy wih Gr Gr provid chnicl dvng o roionl y. Anyon who h riddn 0-pd bicycl

More information

I) Title: Rational Expectations and Adaptive Learning. II) Contents: Introduction to Adaptive Learning

I) Title: Rational Expectations and Adaptive Learning. II) Contents: Introduction to Adaptive Learning I) Til: Raional Expcaions and Adapiv Larning II) Conns: Inroducion o Adapiv Larning III) Documnaion: - Basdvan, Olivir. (2003). Larning procss and raional xpcaions: an analysis using a small macroconomic

More information

Lecture 2: Current in RC circuit D.K.Pandey

Lecture 2: Current in RC circuit D.K.Pandey Lcur 2: urrn in circui harging of apacior hrough Rsisr L us considr a capacior of capacianc is conncd o a D sourc of.m.f. E hrough a rsisr of rsisanc R and a ky K in sris. Whn h ky K is swichd on, h charging

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

Lecture 26: Leapers and Creepers

Lecture 26: Leapers and Creepers Lcur 6: Lapr and Crpr Scrib: Grain Jon (and Marin Z. Bazan) Dparmn of Economic, MIT May, 005 Inroducion Thi lcur conidr h analyi of h non-parabl CTRW in which h diribuion of p iz and im bwn p ar dpndn.

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

B) 25y e. 5. Find the second partial f. 6. Find the second partials (including the mixed partials) of

B) 25y e. 5. Find the second partial f. 6. Find the second partials (including the mixed partials) of Sampl Final 00 1. Suppos z = (, y), ( a, b ) = 0, y ( a, b ) = 0, ( a, b ) = 1, ( a, b ) = 1, and y ( a, b ) =. Thn (a, b) is h s is inconclusiv a saddl poin a rlaiv minimum a rlaiv maimum. * (Classiy

More information

DYNAMICS and CONTROL

DYNAMICS and CONTROL DYNAMICS an CONTROL Mol IV(I) IV(II) Conrol Sysms Dsign Conrol sysm aramrs Prsn by Pro Albros Profssor of Sysms Enginring an Conrol - UPV Mols: Examls of sysms an signals Mols of sysms an signals Conroll

More information

( ) C R. υ in RC 1. cos. ,sin. ω ω υ + +

( ) C R. υ in RC 1. cos. ,sin. ω ω υ + + Oscillaors. Thory of Oscillaions. Th lad circui, h lag circui and h lad-lag circui. Th Win Bridg oscillaor. Ohr usful oscillaors. Th 555 Timr. Basic Dscripion. Th S flip flop. Monosabl opraion of h 555

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

DE Dr. M. Sakalli

DE Dr. M. Sakalli DE-0 Dr. M. Sakalli DE 55 M. Sakalli a n n 0 a Lh.: an Linar g Equaions Hr if g 0 homognous non-homognous ohrwis driving b a forc. You know h quaions blow alrad. A linar firs ordr ODE has h gnral form

More information

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 11

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 11 8 Jun ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER SECTION : INCENTIVE COMPATABILITY Exrcis - Educaional Signaling A yp consulan has a marginal produc of m( ) = whr Θ = {,, 3} Typs ar uniformly disribud

More information

Solutions to FINAL JEE MAINS/IITJEE

Solutions to FINAL JEE MAINS/IITJEE Soluions o FINAL JEE MAINS/IIJEE - [CHEMISRY].(C By consrvaion of mols PV P V P V + R R R P + P am..(a.(d.(b KMnO will rac wih FSO only. mols 5 mols χ FSO / N (g + H (g NH (g a a a a q a a P PNH P. a AgNO

More information

k (but not necessarily much larger).

k (but not necessarily much larger). Dolgopolov Sanislav dolgopolov-s@lis.ru Russian Fdraion Sank-rsburg Inracion bwn lcrons as wav packs and suprconduciviy In h work h suprconduciviy is plaind using h rprsnaion of valnc lcrons as packs of

More information

Chapter 28 Magnetic Induction

Chapter 28 Magnetic Induction Chapr 8 Magnic nducion Concpual Probls [SSM] (a) Th agnic quaor is a lin on h surfac of Earh on which Earh s agnic fild is horizonal. A h agnic quaor, how would you orin a fla sh of papr so as o cra h

More information

Lecture 4: Laplace Transforms

Lecture 4: Laplace Transforms Lur 4: Lapla Transforms Lapla and rlad ransformaions an b usd o solv diffrnial quaion and o rdu priodi nois in signals and imags. Basially, hy onvr h drivaiv opraions ino mulipliaion, diffrnial quaions

More information

Modelling of three dimensional liquid steel flow in continuous casting process

Modelling of three dimensional liquid steel flow in continuous casting process AMME 2003 12h Modlling of hr dimnsional liquid sl flow in coninuous casing procss M. Jani, H. Dyja, G. Banasz, S. Brsi Insiu of Modlling and Auomaion of Plasic Woring Procsss, Faculy of Marial procssing

More information

Lecture 1: Growth and decay of current in RL circuit. Growth of current in LR Circuit. D.K.Pandey

Lecture 1: Growth and decay of current in RL circuit. Growth of current in LR Circuit. D.K.Pandey cur : Growh and dcay of currn in circui Growh of currn in Circui us considr an inducor of slf inducanc is conncd o a DC sourc of.m.f. E hrough a rsisr of rsisanc and a ky K in sris. Whn h ky K is swichd

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

MOMENTARY ENERGY ABSORPTION AND EFFECTIVE LOADING CYCLES OF STRUCTURES DURING EARTHQUAKES

MOMENTARY ENERGY ABSORPTION AND EFFECTIVE LOADING CYCLES OF STRUCTURES DURING EARTHQUAKES MOMNTARY NRGY ABSORPTION AN FFCTIV LOAING CYCLS OF STRUCTURS URING ARTHQUAKS Yuaka HAGIWARA 1 SUMMARY In ulia-sa sisic dsign, nrgy inpu has bn usd for on of h rliabl indics of sisic oions ha drin hir influncs

More information

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

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

More information

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

A THREE COMPARTMENT MATHEMATICAL MODEL OF LIVER

A THREE COMPARTMENT MATHEMATICAL MODEL OF LIVER A THREE COPARTENT ATHEATICAL ODEL OF LIVER V. An N. Ch. Paabhi Ramacharyulu Faculy of ahmaics, R D collgs, Hanamonda, Warangal, India Dparmn of ahmaics, Naional Insiu of Tchnology, Warangal, India E-ail:

More information

4.3 Design of Sections for Flexure (Part II)

4.3 Design of Sections for Flexure (Part II) Prsrssd Concr Srucurs Dr. Amlan K Sngupa and Prof. Dvdas Mnon 4. Dsign of Scions for Flxur (Par II) This scion covrs h following opics Final Dsign for Typ Mmrs Th sps for Typ 1 mmrs ar xplaind in Scion

More information

The Global and Pullback Attractors for a Strongly Damped Wave Equation with Delays *

The Global and Pullback Attractors for a Strongly Damped Wave Equation with Delays * Inrnaional Journal of Modrn Nonlinar Tory Applicaion 9-8 Publisd Onlin cbr (p://wwwscirporg/journal/ijna) p://dxdoiorg/6/ijna9 T Global Pullback Aracors for a Srongly apd Wav Equaion wi lays * Guoguang

More information

10. If p and q are the lengths of the perpendiculars from the origin on the tangent and the normal to the curve

10. If p and q are the lengths of the perpendiculars from the origin on the tangent and the normal to the curve 0. If p and q ar h lnghs of h prpndiculars from h origin on h angn and h normal o h curv + Mahmaics y = a, hn 4p + q = a a (C) a (D) 5a 6. Wha is h diffrnial quaion of h family of circls having hir cnrs

More information

CLASSROOM CONTACT PROGRAMME HINT SHEET 1001CM HS - 1/7. 1. Wavelengh of the ray. = hc. cot (A/2) = = Å since < 100 Å so it is X-ray

CLASSROOM CONTACT PROGRAMME HINT SHEET 1001CM HS - 1/7. 1. Wavelengh of the ray. = hc. cot (A/2) = = Å since < 100 Å so it is X-ray CLASSRM CNTACT PRGRAMME (Acadmic Sssion : 5-6) ENTUSIAST, LEADER & ACIEVER CURSE TARGET : PRE-MEDICAL 6 Ts Typ : MAJR Ts Parn : AIPMT TEST DATE : 8-4 - 6 TEST SYLLABUS : FULL SYLLABUS ANSWER KEY Qu 4 5

More information

Laplace Transforms recap for ccts

Laplace Transforms recap for ccts Lalac Tranform rca for cc Wha h big ida?. Loo a iniial condiion ron of cc du o caacior volag and inducor currn a im Mh or nodal analyi wih -domain imdanc rianc or admianc conducanc Soluion of ODE drivn

More information

Basilio Bona ROBOTICA 03CFIOR 1

Basilio Bona ROBOTICA 03CFIOR 1 Indusrial Robos Kinemaics 1 Kinemaics and kinemaic funcions Kinemaics deals wih he sudy of four funcions (called kinemaic funcions or KFs) ha mahemaically ransform join variables ino caresian variables

More information

Introduction to Mechanical Vibrations and Structural Dynamics

Introduction to Mechanical Vibrations and Structural Dynamics Inroducion o Mechanical Viraions and Srucural Dynaics The one seeser schedule :. Viraion - classificaion. ree undaped single DO iraion, equaion of oion, soluion, inegraional consans, iniial condiions..

More information

Section. Problem Representation. Substation. Protection Device. protection equipments. Substation. Client. EPDS divided in blocks connected by

Section. Problem Representation. Substation. Protection Device. protection equipments. Substation. Client. EPDS divided in blocks connected by HIERARCHICAL MULTIPLE CRITERIA OPTIMIZATION OF MAINTENANCE ACTIVITIES ON POWER DISTRIBUTION NETWORKS Problm Rprsaion EPDS comprising: Subsaions, primary nworks, scondary, nworks; Fdrs (cabls, lins, pols,

More information

Viscous Damping Summary Sheet No Damping Case: Damped behaviour depends on the relative size of ω o and b/2m 3 Cases: 1.

Viscous Damping Summary Sheet No Damping Case: Damped behaviour depends on the relative size of ω o and b/2m 3 Cases: 1. Viscous Daping: && + & + ω Viscous Daping Suary Shee No Daping Case: & + ω solve A ( ω + α ) Daped ehaviour depends on he relaive size of ω o and / 3 Cases:. Criical Daping Wee 5 Lecure solve sae BC s

More information

Math Final Exam Solutions

Math Final Exam Solutions Mah 246 - Final Exam Soluions Friday, July h, 204 () Find explici soluions and give he inerval of definiion o he following iniial value problems (a) ( + 2 )y + 2y = e, y(0) = 0 Soluion: In normal form,

More information

3(8 ) (8 x x ) 3x x (8 )

3(8 ) (8 x x ) 3x x (8 ) Scion - CHATER -. a d.. b. d.86 c d 8 d d.9997 f g 6. d. d. Thn, = ln. =. =.. d Thn, = ln.9 =.7 8 -. a d.6 6 6 6 6 8 8 8 b 9 d 6 6 6 8 c d.8 6 6 6 6 8 8 7 7 d 6 d.6 6 6 6 6 6 6 8 u u u u du.9 6 6 6 6 6

More information

Kinematics and kinematic functions

Kinematics and kinematic functions Kinemaics and kinemaic funcions Kinemaics deals wih he sudy of four funcions (called kinemaic funcions or KFs) ha mahemaically ransform join variables ino caresian variables and vice versa Direc Posiion

More information

PS#4 due today (in class or before 3pm, Rm ) cannot ignore the spatial dimensions

PS#4 due today (in class or before 3pm, Rm ) cannot ignore the spatial dimensions Topic I: Sysms Cll Biology Spaial oscillaion in. coli PS# u oay in class or bfor pm Rm. 68-7 similar o gnic oscillaors s bu now w canno ignor h spaial imnsions biological funcion: rmin h cnr of h cll o

More information

4. Advanced Stability Theory

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

More information

Problem set 2 for the course on. Markov chains and mixing times

Problem set 2 for the course on. Markov chains and mixing times J. Seif T. Hirscher Soluions o Proble se for he course on Markov chains and ixing ies February 7, 04 Exercise 7 (Reversible chains). (i) Assue ha we have a Markov chain wih ransiion arix P, such ha here

More information

fiziks Institute for NET/JRF, GATE, IIT JAM, JEST, TIFR and GRE in PHYSICAL SCIENCES MATEMATICAL PHYSICS SOLUTIONS are

fiziks Institute for NET/JRF, GATE, IIT JAM, JEST, TIFR and GRE in PHYSICAL SCIENCES MATEMATICAL PHYSICS SOLUTIONS are MTEMTICL PHYSICS SOLUTIONS GTE- Q. Considr an ani-symmric nsor P ij wih indics i and j running from o 5. Th numbr of indpndn componns of h nsor is 9 6 ns: Soluion: Th numbr of indpndn componns of h nsor

More information

Impulsive Differential Equations. by using the Euler Method

Impulsive Differential Equations. by using the Euler Method Applid Mahmaical Scincs Vol. 4 1 no. 65 19 - Impulsiv Diffrnial Equaions by using h Eulr Mhod Nor Shamsidah B Amir Hamzah 1 Musafa bin Mama J. Kaviumar L Siaw Chong 4 and Noor ani B Ahmad 5 1 5 Dparmn

More information

Mundell-Fleming I: Setup

Mundell-Fleming I: Setup Mundll-Flming I: Sup In ISLM, w had: E ( ) T I( i π G T C Y ) To his, w now add n xpors, which is a funcion of h xchang ra: ε E P* P ( T ) I( i π ) G T NX ( ) C Y Whr NX is assumd (Marshall Lrnr condiion)

More information

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

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

More information

LAPLACE TRANSFORM AND TRANSFER FUNCTION

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

More information

Part I: Short Answer [50 points] For each of the following, give a short answer (2-3 sentences, or a formula). [5 points each]

Part I: Short Answer [50 points] For each of the following, give a short answer (2-3 sentences, or a formula). [5 points each] Soluions o Midrm Exam Nam: Paricl Physics Fall 0 Ocobr 6 0 Par I: Shor Answr [50 poins] For ach of h following giv a shor answr (- snncs or a formula) [5 poins ach] Explain qualiaivly (a) how w acclra

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