Robust Adaptive Inner-Loop Design for Vehicles with Uncertain Dynamics

Size: px
Start display at page:

Download "Robust Adaptive Inner-Loop Design for Vehicles with Uncertain Dynamics"

Transcription

1 8 Aericn Conrol Conerence Wesin Sele Hoel, Sele, Wshingon, USA June -3, 8 ha6 ous Adpive Inner-Loop esign or Vehicles wih Uncerin ynics Eugene Lvresky Asrc We presen rous dpive ugenion design or clss o nd order uncerin nonliner cded syses hese dynics generlize he odels h re oen used or he design o inner-loop ligh conrollers he proposed conrol rchiecure ugens seline dynic inversion conroller wih direc dpive coponen nd vrile srucure syse, (VSS While he dpive ugenion is designed o inin rcking perornce in he presence o he syse uncerinies, he VSS coponen proecs he syse rjecories ro leving llowle suse in he syse se spce he design is pplied o consruc ngle-o-ck (AOA cond rcking syse or shor period dynics o ixed wing ircr I I INOUCION n his pper, we consider nd order uncerin dynicl syses in he cded or: x F ( x, z + B x + ( x, z ( x F ( x, x, z + x + ( x, x, z where x ( x x is he syse se vecor, z is he known ounded exernl signl, ( F, F re known sedependen uncions, B is known nonzero consn, x is he syse conrol inpu, nd (, re unknown, coninuously dierenile uncions h represen he syse uncerinies he conrol ojecive is ounded rcking in he presence o he syse uncerinies (, Speciiclly, he conrol gol is o design he conrol inpu x so h he syse s se coponen x rcks ny given ounded ie-vrying cond x (, in he presence o he syse uncerinies, while keeping ll he signls in he closed-loop syse ounded, uniorly in ie Our ineres in considering his priculr clss o syses ses ro ligh conrol reled pplicions, where innerloop conrollers or ixed wing ircr re oen designed sed on he so-clled sipliied odels, [ 4] he ler re in he or o ( nd represen he ircr decoupled s responses in pich, roll, nd yw xes he s conrol chllenge here is o design n inner-loop conroller h inins vehicle rcking perornce in he presence o uncerin erodynic eecs, cuor ilures, nd unknown environenl disurnces his is ccoplished using ligh proven dpive design ehods ro [, 3] E Lvresky is wih he Boeing Copny, Huningon Bech, CA 9647, e-il: eugenelvresky@oeingco his eril is sed upon work suppored y he Unied Ses Air Force under Conrcs No FA955-4-C-47 nd FA955-7-C-5 Copyrigh 8 he Boeing Copny All righs reserved Moreover, n ircr ligh conroller us e designed o keep he vehicle dynics in pre-speciied region o he corresponding se spce his region i oen reerred o s he operionl ligh envelope For exple, n AOA cond rcking conroller us include n AOA proecion syse, whose purpose is o inin he ircr AOA wihin pre-speciied rnge, ouside o which losso-conrol is expeced In essence, such n AOA conroller would hve o lend he wo su-syses, he AOA rcker nd he AOA liier, wih only one or he oher eing cive ny given ie Coining hese susyses ino single inner-loop conroller, while using heoreiclly jusiied design ehods wih perornce nd siliy gurnees, consiues he nd conrol chllenge o ddress he ler, we will eploy he design h ws originlly developed in [7] Furherore, oen in rel-world ligh conrol pplicions, n inner-loop syse us provide deque dping in he presence o high order dynics, such s he syse srucurl odes, s well s oher unodelled eecs owrds h end, we pose he 3 rd conrol chllenge which consiss o dding dping o he syse dynics low requencies only, nd wihou exciing he high requency odes Our proposed rous dpive conroller ddresses nd solves ll o he 3 conrol chllenges he res o he pper is orgnized s ollows Secion II presens he proposed rous dpive conrol rchiecure Online pproxiion o he syse uncerinies is diussed in Secion III Suicien condiions h gurnee ounded rcking nd unior ulie oundedness o ll signls in he corresponding closed-loop syse re sed in Secion IV Bsed on hese resuls, in Secion V we peror AOA cond rcking design, wih ligh envelope proecion logic, nd dpive dping his conroller is consruced or shor period dynics o ixed wing ircr he pper ends wih conclusions h re given in Secion VI II MOEL EFEENCE CONOL ACHIECUE We will eploy odel reerence sed conrol design rework he reerence odel is chosen o e nd order, wih he desired dping rio ξ nd he nurl requency ω his odel is driven y ounded possily ievrying reerence cond, x ω x x ( s + ξωs+ ω iereniing he irs se coponen in ( yields: ( F F F x ( F + B x + z+ BF + Bx + + x + z+ B x z x z z ( x, x, z, z d( x, x, z, z or, equivlenly /8/$5 8 AACC 3

2 x ( x, x, z, z + B x + d( x, x, z, z Noe h in (3, he uncion (,,, B re known, while d( x, x,, (3 x x z z nd he z z represens he consn unknown syse unceriny Consider dynic inversion sed conroller in he or: ( ( x x (4 s x B x K x x KP x x KI v where x( x ( ( x( τ x ( τ dτ, nd v denoes n s ugenion coponen, deined ler in (7 Le e x x e he rcking error signl Susiuing (4 ino (3, resuls in he closed-loop rcking error dynics: e K e KPe KI e( τ dτ + d + K v (5 ( x, x, z, z Inroduce x ( x x z z hen (5 cn e wrien s: e K e K e K e ( τ dτ + ( x v (6 P I A his ie, conrol signl v is deined o pproxie / doine he syse uncerinies on-line v ( γ ( x ( x + γ ( x v + w (7 d where ( x ( x, x, z, z is he on-line dpive pproxior, w d is he so-clled dpive dping er o e deined ler using re led-lg iler, nd v represens he swiching coponen o he conrol lw In γ x is he so-clled odulion uncion his is ddiion, coninuous se-dependen p which llows he conroller o soohly rnsiion eween he swiching nd he dpive odes o operion Consrucion o he odulion uncion is perored nex Le represen copc region o pproxiion or he dpive coponen, nd le e is copc suse he odulion uncion γ is deined s:, x γ, x < γ <, x (8 I provides coninuous rnsiion ro he dpive coponen in (7 o he swiching coponen v, i nd when he vecor x leves he suse, u eore i reches he oundry o he suicienly sll preer deines he widh o he nnulus region he in gol o he dpive coponen in (7 is o cncel / doine he unceriny ( x in (5 y using is on-line esied vlue ( x, or ll x Wih (7, rcking error dynics ke he or: ( (9 e K e KP e KI e τ dτ γ γ ( v wd e where e is he unceriny esiion error eiled design o he swiching coponen v will e presened ler in he pper Using pole plceen, seline PI eedck gins re chosen o enorce he desired nd order dynics (, ugened y inegred rcking error he eedck gins re: K ξω+ k, KP ω( ω+ ξk, KI ω k ( Susiuing ( ino (9 yields: e ( ξ ω+ k e ω( ω+ ξ k e ω k e( τ dτ ( ( γ e γ ( v wd egrouping he ers in ( resuls in: e + ke ξ ω( e + ke ω e+ k e( τ dτ ( ( γ e γ ( v wd Inroduce he so-clled ilered rcking error: e e + k e ( τ dτ (3 Using ( nd (3, ilered rcking error dynics cn e wrien s: e ξωe ω e ( γ e γ ( v wd (4 As seen ro (4, he er ξ ω e provides seline dping o he error dynics Oen, in rel-world pplicions, he vlue o he seline dping er is opiized such h iu possile dping is chieved in he presence o high order dynics, such s he syse srucurl odes, s well s oher unodelled eecs In order o dd exr dping, wihou exciing he high requency odes, he orer is inroduced ino he syse low requencies only owrds his end, deine: η s e e (5 s+ s+ nd choose he dpive dping er s: w K + k η (6 d where K represens he seline dping gin, k is he dpive increenl dping gin, nd > is he desired crossover requency, ove which he increenl dping us resor ck o is seline vlue elion (5 cn e wrien in se-spce or η ( η e (7 Augening he error dynics (4 wih (7, he syse exended error dynics cn e wrien s: e e (8 ( e ω ξω K e γ e + γ v + k η η η e Are where e ( e e η e re represens he exended ilered rcking error vecor Nex, condiions us e ound such h rix A ecoes Hurwiz he rix chrcerisic re polynoil cn e copued s ollows: 33

3 λ λi A ω λ ξω K λ + ( re de + (9 3 λ + λ ( ξω+ + λ( ξω+ K + ω + ω In order or he chrcerisic polynoil in (9 o hve ll is roos in he le hl plne, i is suicien o ipose he ollowing relions: ω > >, K ξω ( ω < ( ξω + K + ω ( ξω + erk he s inequliy in ( is lredy sisied, since deines he desired crossover requency or he re iler in (7 he nd condiion in ( plces lower ound on he vlue o he seline re dping gin I is cler h he inequliy is sisied or ny posiive gin K Finlly, he 3 rd inequliy ollows ro he previous wo erk I he ie derivive o he ilered rcking error e ( is driven o ecoe sll hen he originl rcking error signl e ( will lso ecoe sll his seen direcly ollows ro he deiniion in (3 In c, he ler cn e wrien s: e ke+ e ( Consequenly, i here exiss such h e ( ε or ll +, hen s k ( ε k ε e e e + e k k ( erk 3 I he ilered rcking error e ( is driven o ecoe sll hen he originl rcking error signl e ( will lso ecoe sll Using (, yields: k( k ( τ e( e ( e( e ( + e ( k e e ( τ dτ (3 Consequenly, i here exiss such h e ( ε or ll +, hen s k( k( e( e e( + e ( + + ε( e ε (4 In oher words, i e ( ε hen s he ollowing sypoic relion kes plce: e ε + o (5 ( ( III ON-LINE UNCEAINY APPOXIMAION On-line pproxiion o he uncerin uncion ( x in (5 is perored on copc x region, nd using liner-in-preers riicil neurl nework (NN, wih rdil sis uncions (BF in is inner-lyer, [6] he online uncion pproxiion is: x θ Φ x (3 where θ is he on-line esied vecor o preers nd Φ ( x represens ixed BF regressor vecor o he corresponding diension I is ssued h he unceriny cn e pproxied y n BF NN, wihin preried olernce, nd on he copc x region : ( x ( θ Φ ( x + ε( x (3 In (3, θ is he rue unknown consn preer nd ε d is he unknown ounded pproxiion error: ε ( x ε (33 Surcing (3 ro (3, he on-line uncion pproxiion error cn e expressed in ers o he online preer esiion error: ( e θ θ Φ ε Δθ Φ ε (34 Δθ Susiuing (34 ino (8, closed-loop ilered rcking error dynics cn e derived e A e γ Δθ Φ ε + γ v + k η (35 ( re re IV PAAMEE AAPAION AN CLOSE-LOOP SYSEM YNAMICS Choose syeric posiive-deinie rix Q > nd solve he ollowing lgeric Lypunov equion: PAre + Are P Q (4 Since A re is Hurwiz, he Lypunov equion hs unique posiive-deinie syeric soluion P Use he ler o or Lypunov uncion cndide: (, ( V e θ e Pe θ Δ +Δ Γ Δ θ + γ k (4 where syeric posiive-deinie rix Γ nd posiive lr γ will e used o deine he res o dpion iereniing (4 long he rjecories o he syse (35 rjecories, yields: e Qe + ( γ e Pre ( Δθ Φ + ε (43 e Pre k η θ + Δ Γ θ + γ k k γ ( v e Pre egrouping he ers urher yields: e ( Qe + e Pre γ ε + γ v e Pre (44 ( + Δθ Φ γ e P +Γ θ + k e P η+ γ k re re In order o ke he ie derivive V in (44 o e,, e θ k negive ouside o copc ( Δ suse o, choose he ollowing preer dpion lws: Proj θ θ, e Pre ( γ Γ Φ e ( Proj k γ k, ηe P re e ( (45 In (45, Proj denoes he Projecion Operor, which orces he dpive preers o evolve in pre-speciied copc, θ k region, [8] Furherore, i is esy o see h ( 34

4 ( re e e P p e p e p η (46 Siilr o [7], he swiching coponen o he conroller is deined s: v K sgn e ( K sgn ( p e + p e + p3η (47 where K is suicienly lrge posiive consn gin Susiuing (45, (46 nd (47 ino (44, yields V e Qe + γ ( Ksgne ( e ( + e ( ( γ ε (48 ecll h he odulion uncion γ is deined s in (8 Consider hree disinc cses Cse I x hen γ nd choosing K (49 relion (48 ecoes: e Qe + ( Ksgne ( e ( (4 e Qe + ( sgne ( K e ( λin ( Q e + ( K e Pre λin ( Q e < Consequenly, he rcking error will decy unil he syse se eners he region o pproxiion Cse I x hen ccording o (8 γ, nd hereore V e Qe + e Pre ε λin ( Q e + e Pre ε (4 where λ in ( Q is he iniu eigenvlue o Q, ε ε( x Also noe h ecuse o he Projecion x Operor, nors o he preer esiion errors will sy uniorly ounded, h is: Δθ Δ θ < k k < (4 ( ( where, ( Δθ k re he preer ounds Using (4, Unior Ulie Boundedness (UUB [5] o he closed-loop syse rjecories cn now e eslished owrds h end, deine he ollowing copc suse in he e region: Sr e r ε λin ( Q e Pe Pre eine inil level se { } (43 h conins S r Since λ in P e e Pe λ P e (44 hen choosing λ P r (45 iplies h or ll e r e Pe λ ( P e λ ( P r (46 Hence, he se S r is conined in he level se Suppose h ll iniil vlues o he ilered rcking error e ( sr in copc se S { e } { e Pe B} Le B e he il level se which elongs o S In order o inin closed-loop syse siliy, speciic relion eween he oundries or he ses, B, S r, nd S us e iposed hese ses will e used o prove h he closed-loop syse rjecories re UUB Grphicl represenion o he our ses is given in Figure 3 Figure 3: UUB Ses Choose: B λin ( P (47 hen i e Pe B hen using (44 yields: λin ( P e e Pe B λin ( P (48 Consequenly e, h is he ilered rcking error is in S Becuse o (4 nd (43, he ie derivive V is negive ouside o S r Consequenly, he ilered rcking error e will ener level se in inie ie, nd will rein in he se ro hen on Consequenly, he closed-loop syse rjecories re UUB Cse c I x hen oh he dpive nd he swiching coponens o he conroller re cive In his cse, using (48 one ges e Qe + γ ( Ksl sgne ( e ( + e (( γ ε (49 λin ( Q e + γ ( Ksl + ( γ ε e Pre λin ( Q e + ( γ e Pre ε Since y deiniion γ λin ( Q e + ( γ e Pre ε (4 λin ( Q e + e Pre ε Siilr o Cse, one cn show h he syse rjecories will ener he su-region in inie ie, er which he Cse c condiions ke plce he hree cses prove UUB o he closed-loop syse rjecories Moreover, due o he use o he Projecion Operor in (45, ll he esied preers θ ( re ounded Hence he rcking prole is solved he corresponding ol explici odel ollowing conrol signl cn e wrien using relions (4, (7, (6, (3, nd (47 x( x ( x B x ( x K( x x KP( x x KI s (4 Bseline ynic Inversion Conroller ( γ x B θ ( Φ( x γ ( x B K sgn p e + p e ( B K + k η Addiionl e ping Adpive Augenion Modulion Funcion Swiching Coponen erk 4 Using (5, he dping er in (6 cn e wrien s: 35

5 s + s+ k k w K + k x x K + k k x x + s + ( s ( s s Gs Led-Lg Filer (4 I he dpion re γ in (45 is se o zero hen he exr dping er ecoes pr o he seline conroller hus, he ol conrol cond cn e reoruled s: PI Conroller Led-Lg K I x B x ( x K s KP K G( s ( x x s Bseline ynic Inversion Conroller γ ( x B K sgn pe + pe Adpive Augenion Modulion Swiching Coponen Funcion ( Adpive e ping ( γ x B θ ( ( x Φ B k G s x x (43 Fro (43, i ollows h he ol conrol signl is coprised o he ive jor ers: seline dynic inversion conroller, dpive ugenion, c swiching coponen, d odulion uncion, nd e dpive dping V ESIGN EXAMPLE: ANGLE OF AACK ACKING In his secion, we pply he developed rous dpive design ehodology o consruc AOA cond rcking syse or ixed wing ircr, whose shor period dynics, wih li nd piching oen uncerinies, cn e wrien in he cded or (, [, 4] L + Qgrv + q+δl (5 q M + Mq q + MIC + q +Δ M (, q where is he ircr AOA, q is he ngulr pich re, L is he known li curve slope, er, L Q grv is he known grviy M is he known piching oen, M q is he known consn pich dping, M IC is he known piching oen increen due o ineril cross-coupling eecs, q is he conded pich ccelerion (conrol inpu, nd inlly Δ M (, q represens he piching oen unceriny he AOA desired / reerence odel dynics is chosen in he or o (: ω (5 s + ξωs+ ω Noe, h in ddiion o he known quniies in (5, he syse dynics conin uncerinies in he ircr li orce Δ L( nd in he piching oen Δ M (, q According o (4, he re dping er is chosen s: + (53 Δ is he li orce unceriny, ( K k ( ( ( ( w q q K q q + k q q s s+ s+ + Bseline Adpive he seline porion q l o he ol pich ccelerion cond, wih he dping er included, cn now q e wrien s: l ( q q (54 q q M Mq q MIC + ξω+ K q q + ω s+ s where q + L Qgrv is he reerence odel pich re signl he pich re error cn e wrien in ers o he AOA rcking error s: q q ( s+ L ( (55 In order o peror dpive / swiching ugenion design, we copre (5 wih he generic cded dynics ( x, x q, z ( Qgrv MIC, x q (56 F L + Qgrv, B, F M + Mq q+ MIC Δ L, ΔM (, q In his cse, seline PI eedck gins re: K K ξω+ k (57 K KP ω( ω+ ξ k I K KI ω k nd he inegror pole k is: k L (58 Using (3, he ilered rcking error signl, gives s+ k s+ L q q e e (59 s s s Hence, he ilered rcking vecor is: q q e e e e q q q q (5 s+ s s+ he regressor vecor Φ is chosen o depend on AOA only hen preer dpion lws re wrien sed on (45 q q Proj, ( θ Γ θ Φ q q q q P γ s s + Proj q q k, γ k η q q q q P s s+ (5 where P P > is he unique posiive deinie syeric soluion o he lgeric Lypunov equion (4 wih he Hurwiz reerence odel rix A re s speciied in (8 In sury, using (6 nd (3, dpive pich ccelerion cond kes he or: d ( q θ Φ + k ( ( q q (5 s+ Also relion (47 deines he swiching coponen o he pich ccelerion cond: q Ksl sgn ( p e + p e + p3η (53 Noe h he swiching gin K needs o e chosen o doine he syse unceriny: F + z + B L Δ L +ΔM (, q (54 x z In oher words, K ΔM (, q L ΔL (55 in qin q q In (55, he suse ( q q in in represens he ircr operionl AOA / pich re envelope 36

6 For sipliciy, le s ssue h he piching oen unceriny depends on AOA only, h is Δ M Δ M ( hen he swiching ode gin us e chosen such h K ΔM L ΔL (56 in Le ( in denoe AOA pproxiion region, where in in nd re he AOA iniu nd iu rek poins, correspondingly Piece-wise liner odulion uncion γ ( cn e esily wrien o sisy (8:, in in, in < in γ, in < <, < < +, + Figure 5 shows skech o he odulion uncion in erk 5 Figure 5: Piece-wise liner odulion uncion A uli-diensionl odulion uncion γ ( x (57 cn e creed s ollows Suppose h x is cener poin o he sphere { x x } Also suppose h he se represens he pproxiion region or BF-s Le > e sll posiive consn nd deine { x x } he odulion uncion is deined s:, x γ γ ( x, x, x (58 Forlly, he odulion uncion cn e wrien s: x x γ ( x, in, + (59 In order o see h (59 iplies (58 i is suicien o siply skech γ ( x versus x x Figure 5 shows he d γ ( x in in Figure 5: Muli-diensionl odulion uncion Using (59 yields hree relions h orlly prove he vlidiy o he odulion uncion choice + x x x x γ ( x + x x x x x γ ( x + x x x x x γ ( x + x x x erk 5 Suppose h x ( nd x ( Choose L weighed nor wih he weighs se o nd Se, nd wrie he corresponding diensionl odulion uncion + γ (,, in,+ In his cse +, In sury, ol pich ccelerion cond consiss o he ive ers: he seline dynic inversion cond l q, he dpive ugenion q d, c he swiching coponen q, d he AOA odulion uncion γ (, nd e he dpive dping er q l d q q γ q γ q + q ( VI CONCLUSIONS Moived y ligh conrol pplicions, in his pper we presened rous dpive conrol design ugenion o seline dynic inversion conroller In order o proec he syse rjecories ro leving n llowle suse in he syse se spce, VSS coponen ws dded Also, requency-dependen dpive dping er ws incorpored ino he syse he proposed design ws pplied o consruc AOA cond rcking syse or shor period dynics o ixed wing ircr EFEENCES [] KA Wise, E Lvresky, nd N Hovkiyn, Adpive Conrol o Fligh: heory, Applicions, nd Open Proles, In Proceedings o Aericn Conrol Conerence, Minnepolis, MN, 6 [] A Young, C Co, N Hovkiyn, E Lvresky, An Adpive Approch o Nonine Conrol esign or Aircr Applicions, AIAA , In Proceedings o AIAA Guidnce, Nvigion nd Conrol Conerence, Keysone, CO, 6 [3] E Lvresky, KA Wise, Adpive Fligh Conrol or Mnned / Unnned Miliry Aircr, In Proceedings o Aericn Conrol Conerence, Porlnd, O, 5 [4] B Sevens, F Lewis Aircr conrol nd siulion, Wiley, New York, 99 [5] HK Khlil Nonliner Syses, 3 rd Ediion, Prenice Hll Inc, [6] S Hykin, Neurl Neworks: A Coprehensive Foundion, nd ediion, Prenice Hll Inc, 999 [7] Snner nd JJ Sloine, Gussin neworks or direc dpive conrol, IEEE rnions on Neurl Neworks, 3(6, pp , 99 [8] J B Poe nd L Prly Adpive nonliner regulion: esiion ro he Lypunov equion IEEE rns Auo Conr, 37(6, pp 79-74, 99 37

P441 Analytical Mechanics - I. Coupled Oscillators. c Alex R. Dzierba

P441 Analytical Mechanics - I. Coupled Oscillators. c Alex R. Dzierba Lecure 3 Mondy - Deceber 5, 005 Wrien or ls upded: Deceber 3, 005 P44 Anlyicl Mechnics - I oupled Oscillors c Alex R. Dzierb oupled oscillors - rix echnique In Figure we show n exple of wo coupled oscillors,

More information

Solutions to Problems from Chapter 2

Solutions to Problems from Chapter 2 Soluions o Problems rom Chper Problem. The signls u() :5sgn(), u () :5sgn(), nd u h () :5sgn() re ploed respecively in Figures.,b,c. Noe h u h () :5sgn() :5; 8 including, bu u () :5sgn() is undeined..5

More information

September 20 Homework Solutions

September 20 Homework Solutions College of Engineering nd Compuer Science Mechnicl Engineering Deprmen Mechnicl Engineering A Seminr in Engineering Anlysis Fll 7 Number 66 Insrucor: Lrry Creo Sepember Homework Soluions Find he specrum

More information

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function ENGR 1990 Engineering Mhemics The Inegrl of Funcion s Funcion Previously, we lerned how o esime he inegrl of funcion f( ) over some inervl y dding he res of finie se of rpezoids h represen he re under

More information

e t dt e t dt = lim e t dt T (1 e T ) = 1

e t dt e t dt = lim e t dt T (1 e T ) = 1 Improper Inegrls There re wo ypes of improper inegrls - hose wih infinie limis of inegrion, nd hose wih inegrnds h pproch some poin wihin he limis of inegrion. Firs we will consider inegrls wih infinie

More information

Minimum Squared Error

Minimum Squared Error Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > 0 for ll smples y i solve sysem of liner inequliies MSE procedure y i i for ll smples

More information

Motion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration.

Motion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration. Moion Accelerion Pr : Consn Accelerion Accelerion Accelerion Accelerion is he re of chnge of velociy. = v - vo = Δv Δ ccelerion = = v - vo chnge of velociy elpsed ime Accelerion is vecor, lhough in one-dimensionl

More information

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

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

More information

Minimum Squared Error

Minimum Squared Error Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > for ll smples y i solve sysem of liner inequliies MSE procedure y i = i for ll smples

More information

A Kalman filtering simulation

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

More information

PART V. Wavelets & Multiresolution Analysis

PART V. Wavelets & Multiresolution Analysis Wveles 65 PART V Wveles & Muliresoluion Anlysis ADDITIONAL REFERENCES: A. Cohen, Numericl Anlysis o Wvele Mehods, Norh-Hollnd, (003) S. Mll, A Wvele Tour o Signl Processing, Acdemic Press, (999) I. Dubechies,

More information

1.0 Electrical Systems

1.0 Electrical Systems . Elecricl Sysems The ypes of dynmicl sysems we will e sudying cn e modeled in erms of lgeric equions, differenil equions, or inegrl equions. We will egin y looking fmilir mhemicl models of idel resisors,

More information

The solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6.

The solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6. [~ o o :- o o ill] i 1. Mrices, Vecors, nd Guss-Jordn Eliminion 1 x y = = - z= The soluion is ofen represened s vecor: n his exmple, he process of eliminion works very smoohly. We cn elimine ll enries

More information

0 for t < 0 1 for t > 0

0 for t < 0 1 for t > 0 8.0 Sep nd del funcions Auhor: Jeremy Orloff The uni Sep Funcion We define he uni sep funcion by u() = 0 for < 0 for > 0 I is clled he uni sep funcion becuse i kes uni sep = 0. I is someimes clled he Heviside

More information

ON THE STABILITY OF DELAY POPULATION DYNAMICS RELATED WITH ALLEE EFFECTS. O. A. Gumus and H. Kose

ON THE STABILITY OF DELAY POPULATION DYNAMICS RELATED WITH ALLEE EFFECTS. O. A. Gumus and H. Kose Mhemicl nd Compuionl Applicions Vol. 7 o. pp. 56-67 O THE STABILITY O DELAY POPULATIO DYAMICS RELATED WITH ALLEE EECTS O. A. Gumus nd H. Kose Deprmen o Mhemics Selcu Universiy 47 Kony Turey ozlem@selcu.edu.r

More information

[5] Solving Multiple Linear Equations A system of m linear equations and n unknown variables:

[5] Solving Multiple Linear Equations A system of m linear equations and n unknown variables: [5] Solving Muliple Liner Equions A syse of liner equions nd n unknown vribles: + + + nn = b + + + = b n n : + + + nn = b n n A= b, where A =, : : : n : : : : n = : n A = = = ( ) where, n j = ( ); = :

More information

More on Magnetically C Coupled Coils and Ideal Transformers

More on Magnetically C Coupled Coils and Ideal Transformers Appenix ore on gneiclly C Couple Coils Iel Trnsformers C. Equivlen Circuis for gneiclly Couple Coils A imes, i is convenien o moel mgneiclly couple coils wih n equivlen circui h oes no involve mgneic coupling.

More information

Forms of Energy. Mass = Energy. Page 1. SPH4U: Introduction to Work. Work & Energy. Particle Physics:

Forms of Energy. Mass = Energy. Page 1. SPH4U: Introduction to Work. Work & Energy. Particle Physics: SPH4U: Inroducion o ork ork & Energy ork & Energy Discussion Definiion Do Produc ork of consn force ork/kineic energy heore ork of uliple consn forces Coens One of he os iporn conceps in physics Alernive

More information

CALDERON S REPRODUCING FORMULA FOR DUNKL CONVOLUTION

CALDERON S REPRODUCING FORMULA FOR DUNKL CONVOLUTION Avilble online hp://scik.org Eng. Mh. Le. 15, 15:4 ISSN: 49-9337 CALDERON S REPRODUCING FORMULA FOR DUNKL CONVOLUTION PANDEY, C. P. 1, RAKESH MOHAN AND BHAIRAW NATH TRIPATHI 3 1 Deprmen o Mhemics, Ajy

More information

1. Find a basis for the row space of each of the following matrices. Your basis should consist of rows of the original matrix.

1. Find a basis for the row space of each of the following matrices. Your basis should consist of rows of the original matrix. Mh 7 Exm - Prcice Prolem Solions. Find sis for he row spce of ech of he following mrices. Yor sis shold consis of rows of he originl mrix. 4 () 7 7 8 () Since we wn sis for he row spce consising of rows

More information

Chapter Direct Method of Interpolation

Chapter Direct Method of Interpolation Chper 5. Direc Mehod of Inerpolion Afer reding his chper, you should be ble o:. pply he direc mehod of inerpolion,. sole problems using he direc mehod of inerpolion, nd. use he direc mehod inerpolns o

More information

Contraction Mapping Principle Approach to Differential Equations

Contraction Mapping Principle Approach to Differential Equations epl Journl of Science echnology 0 (009) 49-53 Conrcion pping Principle pproch o Differenil Equions Bishnu P. Dhungn Deprmen of hemics, hendr Rn Cmpus ribhuvn Universiy, Khmu epl bsrc Using n eension of

More information

5.1-The Initial-Value Problems For Ordinary Differential Equations

5.1-The Initial-Value Problems For Ordinary Differential Equations 5.-The Iniil-Vlue Problems For Ordinry Differenil Equions Consider solving iniil-vlue problems for ordinry differenil equions: (*) y f, y, b, y. If we know he generl soluion y of he ordinry differenil

More information

FURTHER GENERALIZATIONS. QI Feng. The value of the integral of f(x) over [a; b] can be estimated in a variety ofways. b a. 2(M m)

FURTHER GENERALIZATIONS. QI Feng. The value of the integral of f(x) over [a; b] can be estimated in a variety ofways. b a. 2(M m) Univ. Beogrd. Pul. Elekroehn. Fk. Ser. M. 8 (997), 79{83 FUTHE GENEALIZATIONS OF INEQUALITIES FO AN INTEGAL QI Feng Using he Tylor's formul we prove wo inegrl inequliies, h generlize K. S. K. Iyengr's

More information

Location is relative. Coordinate Systems. Which of the following can be described with vectors??

Location is relative. Coordinate Systems. Which of the following can be described with vectors?? Locion is relive Coordine Sysems The posiion o hing is sed relive o noher hing (rel or virul) review o he physicl sis h governs mhemicl represenions Reerence oec mus e deined Disnce mus e nown Direcion

More information

TEST - 4 (Paper-I) ANSWERS PHYSICS CHEMISTRY MATHEMATICS

TEST - 4 (Paper-I) ANSWERS PHYSICS CHEMISTRY MATHEMATICS TEST - 4 (Pper-I) NSWERS PHYSICS CHEMISTRY MTHEMTICS. (4). (). () 4. () 5. () 6. (4) 7. () 8. () 9. (). (). (). (). () 4. () 5. () 6. (4) 7. () 8. (4) 9. (). (). (). (). () 4. (4) 5. (4) 6. () 7. () 8.

More information

Properties of Logarithms. Solving Exponential and Logarithmic Equations. Properties of Logarithms. Properties of Logarithms. ( x)

Properties of Logarithms. Solving Exponential and Logarithmic Equations. Properties of Logarithms. Properties of Logarithms. ( x) Properies of Logrihms Solving Eponenil nd Logrihmic Equions Properies of Logrihms Produc Rule ( ) log mn = log m + log n ( ) log = log + log Properies of Logrihms Quoien Rule log m = logm logn n log7 =

More information

Average & instantaneous velocity and acceleration Motion with constant acceleration

Average & instantaneous velocity and acceleration Motion with constant acceleration Physics 7: Lecure Reminders Discussion nd Lb secions sr meeing ne week Fill ou Pink dd/drop form if you need o swich o differen secion h is FULL. Do i TODAY. Homework Ch. : 5, 7,, 3,, nd 6 Ch.: 6,, 3 Submission

More information

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE BOUNDARY-VALUE PROBLEM

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE BOUNDARY-VALUE PROBLEM Elecronic Journl of Differenil Equions, Vol. 208 (208), No. 50, pp. 6. ISSN: 072-669. URL: hp://ejde.mh.xse.edu or hp://ejde.mh.un.edu EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE

More information

A Structural Approach to the Enforcement of Language and Disjunctive Constraints

A Structural Approach to the Enforcement of Language and Disjunctive Constraints A Srucurl Aroch o he Enforcemen of Lnguge nd Disjuncive Consrins Mrin V. Iordche School of Engineering nd Eng. Tech. LeTourneu Universiy Longview, TX 7607-700 Pnos J. Ansklis Dermen of Elecricl Engineering

More information

3 Motion with constant acceleration: Linear and projectile motion

3 Motion with constant acceleration: Linear and projectile motion 3 Moion wih consn ccelerion: Liner nd projecile moion cons, In he precedin Lecure we he considered moion wih consn ccelerion lon he is: Noe h,, cn be posiie nd neie h leds o rie of behiors. Clerl similr

More information

Magnetostatics Bar Magnet. Magnetostatics Oersted s Experiment

Magnetostatics Bar Magnet. Magnetostatics Oersted s Experiment Mgneosics Br Mgne As fr bck s 4500 yers go, he Chinese discovered h cerin ypes of iron ore could rc ech oher nd cerin mels. Iron filings "mp" of br mgne s field Crefully suspended slivers of his mel were

More information

Physics 2A HW #3 Solutions

Physics 2A HW #3 Solutions Chper 3 Focus on Conceps: 3, 4, 6, 9 Problems: 9, 9, 3, 41, 66, 7, 75, 77 Phsics A HW #3 Soluions Focus On Conceps 3-3 (c) The ccelerion due o grvi is he sme for boh blls, despie he fc h he hve differen

More information

Spectral Galerkin Method for Optimal Control Problems Governed by Integral and Integro- Differential Equations

Spectral Galerkin Method for Optimal Control Problems Governed by Integral and Integro- Differential Equations Mh. Sci. Le. Vol. o. 33-4 Mheicl Sciences Leers An Inernionl Journl @ SP url Sciences Publishing Cor. Specrl Glerin Mehod or Opil Conrol Probles Governed by Inegrl nd Inegro- Dierenil Equions Mos A. El-Kheb

More information

Application on Inner Product Space with. Fixed Point Theorem in Probabilistic

Application on Inner Product Space with. Fixed Point Theorem in Probabilistic Journl of Applied Mhemics & Bioinformics, vol.2, no.2, 2012, 1-10 ISSN: 1792-6602 prin, 1792-6939 online Scienpress Ld, 2012 Applicion on Inner Produc Spce wih Fixed Poin Theorem in Probbilisic Rjesh Shrivsv

More information

Chapter 2. Motion along a straight line. 9/9/2015 Physics 218

Chapter 2. Motion along a straight line. 9/9/2015 Physics 218 Chper Moion long srigh line 9/9/05 Physics 8 Gols for Chper How o describe srigh line moion in erms of displcemen nd erge elociy. The mening of insnneous elociy nd speed. Aerge elociy/insnneous elociy

More information

PHYSICS 1210 Exam 1 University of Wyoming 14 February points

PHYSICS 1210 Exam 1 University of Wyoming 14 February points PHYSICS 1210 Em 1 Uniersiy of Wyoming 14 Februry 2013 150 poins This es is open-noe nd closed-book. Clculors re permied bu compuers re no. No collborion, consulion, or communicion wih oher people (oher

More information

Neural assembly binding in linguistic representation

Neural assembly binding in linguistic representation Neurl ssembly binding in linguisic represenion Frnk vn der Velde & Mrc de Kmps Cogniive Psychology Uni, Universiy of Leiden, Wssenrseweg 52, 2333 AK Leiden, The Neherlnds, vdvelde@fsw.leidenuniv.nl Absrc.

More information

ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX.

ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX. ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX. MEHMET ZEKI SARIKAYA?, ERHAN. SET, AND M. EMIN OZDEMIR Asrc. In his noe, we oin new some ineuliies

More information

ECE Microwave Engineering. Fall Prof. David R. Jackson Dept. of ECE. Notes 10. Waveguides Part 7: Transverse Equivalent Network (TEN)

ECE Microwave Engineering. Fall Prof. David R. Jackson Dept. of ECE. Notes 10. Waveguides Part 7: Transverse Equivalent Network (TEN) EE 537-635 Microwve Engineering Fll 7 Prof. Dvid R. Jcson Dep. of EE Noes Wveguides Pr 7: Trnsverse Equivlen Newor (N) Wveguide Trnsmission Line Model Our gol is o come up wih rnsmission line model for

More information

Theory of! Partial Differential Equations-I!

Theory of! Partial Differential Equations-I! hp://users.wpi.edu/~grear/me61.hml! Ouline! Theory o! Parial Dierenial Equaions-I! Gréar Tryggvason! Spring 010! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

More information

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704 Chper IX The Inegrl Trnform Mehod IX. The plce Trnform November 4, 7 699 IX. THE APACE TRANSFORM IX.. The plce Trnform Definiion 7 IX.. Properie 7 IX..3 Emple 7 IX..4 Soluion of IVP for ODE 74 IX..5 Soluion

More information

SUFFICIENT CONDITIONS FOR EXISTENCE SOLUTION OF LINEAR TWO-POINT BOUNDARY PROBLEM IN MINIMIZATION OF QUADRATIC FUNCTIONAL

SUFFICIENT CONDITIONS FOR EXISTENCE SOLUTION OF LINEAR TWO-POINT BOUNDARY PROBLEM IN MINIMIZATION OF QUADRATIC FUNCTIONAL HE PUBLISHING HOUSE PROCEEDINGS OF HE ROMANIAN ACADEMY, Series A, OF HE ROMANIAN ACADEMY Volume, Number 4/200, pp 287 293 SUFFICIEN CONDIIONS FOR EXISENCE SOLUION OF LINEAR WO-POIN BOUNDARY PROBLEM IN

More information

Optimization and Application of initial Value of Non-equidistant New Information GM(1,1) Model

Optimization and Application of initial Value of Non-equidistant New Information GM(1,1) Model IJCSI Inernionl Journl of Copuer Science Issues, Vol., Issue, No, Mrch 3 ISSN Prin: 694-84 ISSN Online: 694-784 www.ijcsi.org 8 Opiizion nd Applicion of iniil Vlue of Non-equidisn New Inforion GM, Model

More information

FM Applications of Integration 1.Centroid of Area

FM Applications of Integration 1.Centroid of Area FM Applicions of Inegrion.Cenroid of Are The cenroid of ody is is geomeric cenre. For n ojec mde of uniform meril, he cenroid coincides wih he poin which he ody cn e suppored in perfecly lnced se ie, is

More information

Boundary layer problem for system of first order of ordinary differential equations with linear non-local boundary conditions

Boundary layer problem for system of first order of ordinary differential equations with linear non-local boundary conditions IJS 3 37A3 Secil issue-mheics: 389-396 Irnin Journl of Science & echnology h://ijssshirzucir Boundry lyer role for syse of firs order of ordinry differenil euions wih liner non-locl oundry condiions M

More information

Research Article Wirtinger-Type Inequality and the Stability Analysis of Delayed Lur e System

Research Article Wirtinger-Type Inequality and the Stability Analysis of Delayed Lur e System Hindwi Pulishing Corporion Discree Dynics in Nure nd Sociey Volue 13, Aricle ID 793686, 9 pges hp://dx.doi.org/1.1155/13/793686 Reserch Aricle Wiringer-ype Inequliy nd he Siliy Anlysis of Delyed Lur e

More information

Convergence of Singular Integral Operators in Weighted Lebesgue Spaces

Convergence of Singular Integral Operators in Weighted Lebesgue Spaces EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 10, No. 2, 2017, 335-347 ISSN 1307-5543 www.ejpm.com Published by New York Business Globl Convergence of Singulr Inegrl Operors in Weighed Lebesgue

More information

PARABOLA. moves such that PM. = e (constant > 0) (eccentricity) then locus of P is called a conic. or conic section.

PARABOLA. moves such that PM. = e (constant > 0) (eccentricity) then locus of P is called a conic. or conic section. wwwskshieducioncom PARABOLA Le S be given fixed poin (focus) nd le l be given fixed line (Direcrix) Le SP nd PM be he disnce of vrible poin P o he focus nd direcrix respecively nd P SP moves such h PM

More information

4.8 Improper Integrals

4.8 Improper Integrals 4.8 Improper Inegrls Well you ve mde i hrough ll he inegrion echniques. Congrs! Unforunely for us, we sill need o cover one more inegrl. They re clled Improper Inegrls. A his poin, we ve only del wih inegrls

More information

(b) 10 yr. (b) 13 m. 1.6 m s, m s m s (c) 13.1 s. 32. (a) 20.0 s (b) No, the minimum distance to stop = 1.00 km. 1.

(b) 10 yr. (b) 13 m. 1.6 m s, m s m s (c) 13.1 s. 32. (a) 20.0 s (b) No, the minimum distance to stop = 1.00 km. 1. Answers o Een Numbered Problems Chper. () 7 m s, 6 m s (b) 8 5 yr 4.. m ih 6. () 5. m s (b).5 m s (c).5 m s (d) 3.33 m s (e) 8. ().3 min (b) 64 mi..3 h. ().3 s (b) 3 m 4..8 mi wes of he flgpole 6. (b)

More information

Honours Introductory Maths Course 2011 Integration, Differential and Difference Equations

Honours Introductory Maths Course 2011 Integration, Differential and Difference Equations Honours Inroducory Mhs Course 0 Inegrion, Differenil nd Difference Equions Reding: Ching Chper 4 Noe: These noes do no fully cover he meril in Ching, u re men o supplemen your reding in Ching. Thus fr

More information

Some basic notation and terminology. Deterministic Finite Automata. COMP218: Decision, Computation and Language Note 1

Some basic notation and terminology. Deterministic Finite Automata. COMP218: Decision, Computation and Language Note 1 COMP28: Decision, Compuion nd Lnguge Noe These noes re inended minly s supplemen o he lecures nd exooks; hey will e useful for reminders ou noion nd erminology. Some sic noion nd erminology An lphe is

More information

ECE Microwave Engineering

ECE Microwave Engineering EE 537-635 Microwve Engineering Adped from noes y Prof. Jeffery T. Willims Fll 8 Prof. Dvid R. Jcson Dep. of EE Noes Wveguiding Srucures Pr 7: Trnsverse Equivlen Newor (N) Wveguide Trnsmission Line Model

More information

22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 9: The High Beta Tokamak

22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 9: The High Beta Tokamak .65, MHD Theory of Fusion Sysems Prof. Freidberg Lecure 9: The High e Tokmk Summry of he Properies of n Ohmic Tokmk. Advnges:. good euilibrium (smll shif) b. good sbiliy ( ) c. good confinemen ( τ nr )

More information

6.2 Transforms of Derivatives and Integrals.

6.2 Transforms of Derivatives and Integrals. SEC. 6.2 Transforms of Derivaives and Inegrals. ODEs 2 3 33 39 23. Change of scale. If l( f ()) F(s) and c is any 33 45 APPLICATION OF s-shifting posiive consan, show ha l( f (c)) F(s>c)>c (Hin: In Probs.

More information

Math 334 Fall 2011 Homework 11 Solutions

Math 334 Fall 2011 Homework 11 Solutions Dec. 2, 2 Mah 334 Fall 2 Homework Soluions Basic Problem. Transform he following iniial value problem ino an iniial value problem for a sysem: u + p()u + q() u g(), u() u, u () v. () Soluion. Le v u. Then

More information

Lecture #6: Continuous-Time Signals

Lecture #6: Continuous-Time Signals EEL5: Discree-Time Signals and Sysems Lecure #6: Coninuous-Time Signals Lecure #6: Coninuous-Time Signals. Inroducion In his lecure, we discussed he ollowing opics:. Mahemaical represenaion and ransormaions

More information

A 1.3 m 2.5 m 2.8 m. x = m m = 8400 m. y = 4900 m 3200 m = 1700 m

A 1.3 m 2.5 m 2.8 m. x = m m = 8400 m. y = 4900 m 3200 m = 1700 m PHYS : Soluions o Chper 3 Home Work. SSM REASONING The displcemen is ecor drwn from he iniil posiion o he finl posiion. The mgniude of he displcemen is he shores disnce beween he posiions. Noe h i is onl

More information

A new model for solving fuzzy linear fractional programming problem with ranking function

A new model for solving fuzzy linear fractional programming problem with ranking function J. ppl. Res. Ind. Eng. Vol. 4 No. 07 89 96 Journl of pplied Reserch on Indusril Engineering www.journl-prie.com new model for solving fuzzy liner frcionl progrmming prolem wih rning funcion Spn Kumr Ds

More information

3. Renewal Limit Theorems

3. Renewal Limit Theorems Virul Lborories > 14. Renewl Processes > 1 2 3 3. Renewl Limi Theorems In he inroducion o renewl processes, we noed h he rrivl ime process nd he couning process re inverses, in sens The rrivl ime process

More information

Physics 101 Lecture 4 Motion in 2D and 3D

Physics 101 Lecture 4 Motion in 2D and 3D Phsics 11 Lecure 4 Moion in D nd 3D Dr. Ali ÖVGÜN EMU Phsics Deprmen www.ogun.com Vecor nd is componens The componens re he legs of he righ ringle whose hpoenuse is A A A A A n ( θ ) A Acos( θ) A A A nd

More information

Green s Functions and Comparison Theorems for Differential Equations on Measure Chains

Green s Functions and Comparison Theorems for Differential Equations on Measure Chains Green s Funcions nd Comprison Theorems for Differenil Equions on Mesure Chins Lynn Erbe nd Alln Peerson Deprmen of Mhemics nd Sisics, Universiy of Nebrsk-Lincoln Lincoln,NE 68588-0323 lerbe@@mh.unl.edu

More information

On Hadamard and Fejér-Hadamard inequalities for Caputo k-fractional derivatives

On Hadamard and Fejér-Hadamard inequalities for Caputo k-fractional derivatives In J Nonliner Anl Appl 9 8 No, 69-8 ISSN: 8-68 elecronic hp://dxdoiorg/75/ijn8745 On Hdmrd nd Fejér-Hdmrd inequliies for Cpuo -frcionl derivives Ghulm Frid, Anum Jved Deprmen of Mhemics, COMSATS Universiy

More information

MATH 124 AND 125 FINAL EXAM REVIEW PACKET (Revised spring 2008)

MATH 124 AND 125 FINAL EXAM REVIEW PACKET (Revised spring 2008) MATH 14 AND 15 FINAL EXAM REVIEW PACKET (Revised spring 8) The following quesions cn be used s review for Mh 14/ 15 These quesions re no cul smples of quesions h will pper on he finl em, bu hey will provide

More information

Asymptotic relationship between trajectories of nominal and uncertain nonlinear systems on time scales

Asymptotic relationship between trajectories of nominal and uncertain nonlinear systems on time scales Asympoic relionship beween rjecories of nominl nd uncerin nonliner sysems on ime scles Fim Zohr Tousser 1,2, Michel Defoor 1, Boudekhil Chfi 2 nd Mohmed Djemï 1 Absrc This pper sudies he relionship beween

More information

when t = 2 s. Sketch the path for the first 2 seconds of motion and show the velocity and acceleration vectors for t = 2 s.(2/63)

when t = 2 s. Sketch the path for the first 2 seconds of motion and show the velocity and acceleration vectors for t = 2 s.(2/63) . The -coordine of pricle in curiliner oion i gien b where i in eer nd i in econd. The -coponen of ccelerion in eer per econd ured i gien b =. If he pricle h -coponen = nd when = find he gniude of he eloci

More information

f t f a f x dx By Lin McMullin f x dx= f b f a. 2

f t f a f x dx By Lin McMullin f x dx= f b f a. 2 Accumulion: Thoughs On () By Lin McMullin f f f d = + The gols of he AP* Clculus progrm include he semen, Sudens should undersnd he definie inegrl s he ne ccumulion of chnge. 1 The Topicl Ouline includes

More information

Theory of! Partial Differential Equations!

Theory of! Partial Differential Equations! hp://www.nd.edu/~gryggva/cfd-course/! Ouline! Theory o! Parial Dierenial Equaions! Gréar Tryggvason! Spring 011! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

More information

A LIMIT-POINT CRITERION FOR A SECOND-ORDER LINEAR DIFFERENTIAL OPERATOR IAN KNOWLES

A LIMIT-POINT CRITERION FOR A SECOND-ORDER LINEAR DIFFERENTIAL OPERATOR IAN KNOWLES A LIMIT-POINT CRITERION FOR A SECOND-ORDER LINEAR DIFFERENTIAL OPERATOR j IAN KNOWLES 1. Inroducion Consider he forml differenil operor T defined by el, (1) where he funcion q{) is rel-vlued nd loclly

More information

Physic 231 Lecture 4. Mi it ftd l t. Main points of today s lecture: Example: addition of velocities Trajectories of objects in 2 = =

Physic 231 Lecture 4. Mi it ftd l t. Main points of today s lecture: Example: addition of velocities Trajectories of objects in 2 = = Mi i fd l Phsic 3 Lecure 4 Min poins of od s lecure: Emple: ddiion of elociies Trjecories of objecs in dimensions: dimensions: g 9.8m/s downwrds ( ) g o g g Emple: A foobll pler runs he pern gien in he

More information

Research on Fuzzy Guidance Law Based on Self-adaptive Genetic Annealing Algorithm

Research on Fuzzy Guidance Law Based on Self-adaptive Genetic Annealing Algorithm Reserch on Fuzzy Guidnce Lw Bsed on Self-dpive Geneic Annelin Alorih Yu Jin-yon Nuer hree Depren, Nvl Aeronuicl nd Asronuicl Universiy, Yni Shndon Chin E-il: fxqyjs@sin.co.cn Zhn Ru-chun Nuer hree Depren,

More information

Hermite-Hadamard-Fejér type inequalities for convex functions via fractional integrals

Hermite-Hadamard-Fejér type inequalities for convex functions via fractional integrals Sud. Univ. Beş-Bolyi Mh. 6(5, No. 3, 355 366 Hermie-Hdmrd-Fejér ype inequliies for convex funcions vi frcionl inegrls İmd İşcn Asrc. In his pper, firsly we hve eslished Hermie Hdmrd-Fejér inequliy for

More information

Characteristic Function for the Truncated Triangular Distribution., Myron Katzoff and Rahul A. Parsa

Characteristic Function for the Truncated Triangular Distribution., Myron Katzoff and Rahul A. Parsa Secion on Survey Reserch Mehos JSM 009 Chrcerisic Funcion for he Trunce Tringulr Disriuion Jy J. Kim 1 1, Myron Kzoff n Rhul A. Prs 1 Nionl Cener for Helh Sisics, 11Toleo Ro, Hysville, MD. 078 College

More information

Characteristics of Linear System

Characteristics of Linear System Characerisics o Linear Sysem h g h : Impulse response F G : Frequency ranser uncion Represenaion o Sysem in ime an requency. Low-pass iler g h G F he requency ranser uncion is he Fourier ransorm o he impulse

More information

Laplace Examples, Inverse, Rational Form

Laplace Examples, Inverse, Rational Form Lecure 3 Ouline: Lplce Exple, Invere, Rionl For Announceen: Rein: 6: Lplce Trnfor pp. 3-33, 55.5-56.5, 7 HW 8 poe, ue nex We. Free -y exenion OcenOne Roo Tour will e fer cl y 7 (:3-:) Lunch provie ferwr.

More information

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q).

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q). INTEGRALS JOHN QUIGG Eercise. Le f : [, b] R be bounded, nd le P nd Q be priions of [, b]. Prove h if P Q hen U(P ) U(Q) nd L(P ) L(Q). Soluion: Le P = {,..., n }. Since Q is obined from P by dding finiely

More information

Integral Transform. Definitions. Function Space. Linear Mapping. Integral Transform

Integral Transform. Definitions. Function Space. Linear Mapping. Integral Transform Inegrl Trnsform Definiions Funcion Spce funcion spce A funcion spce is liner spce of funcions defined on he sme domins & rnges. Liner Mpping liner mpping Le VF, WF e liner spces over he field F. A mpping

More information

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704 Chper IX The Inegrl Trnform Mehod IX. The plce Trnform November 6, 8 699 IX. THE APACE TRANSFORM IX.. The plce Trnform Definiion 7 IX.. Properie 7 IX..3 Emple 7 IX..4 Soluion of IVP for ODE 74 IX..5 Soluion

More information

Convolution. Lecture #6 2CT.3 8. BME 333 Biomedical Signals and Systems - J.Schesser

Convolution. Lecture #6 2CT.3 8. BME 333 Biomedical Signals and Systems - J.Schesser Convoluion Lecure #6 C.3 8 Deiniion When we compue he ollowing inegral or τ and τ we say ha he we are convoluing wih g d his says: ae τ, lip i convolve in ime -τ, hen displace i in ime by seconds -τ, and

More information

RESPONSE UNDER A GENERAL PERIODIC FORCE. When the external force F(t) is periodic with periodτ = 2π

RESPONSE UNDER A GENERAL PERIODIC FORCE. When the external force F(t) is periodic with periodτ = 2π RESPONSE UNDER A GENERAL PERIODIC FORCE When he exernl force F() is periodic wih periodτ / ω,i cn be expnded in Fourier series F( ) o α ω α b ω () where τ F( ) ω d, τ,,,... () nd b τ F( ) ω d, τ,,... (3)

More information

Chapter 3 Boundary Value Problem

Chapter 3 Boundary Value Problem Chaper 3 Boundary Value Problem A boundary value problem (BVP) is a problem, ypically an ODE or a PDE, which has values assigned on he physical boundary of he domain in which he problem is specified. Le

More information

Development of a New Scheme for the Solution of Initial Value Problems in Ordinary Differential Equations

Development of a New Scheme for the Solution of Initial Value Problems in Ordinary Differential Equations IOS Journl o Memics IOSJM ISSN: 78-78 Volume Issue July-Aug PP -9 www.iosrjournls.org Developmen o New Sceme or e Soluion o Iniil Vlue Problems in Ordinry Dierenil Equions Ogunrinde. B. dugb S. E. Deprmen

More information

An object moving with speed v around a point at distance r, has an angular velocity. m/s m

An object moving with speed v around a point at distance r, has an angular velocity. m/s m Roion The mosphere roes wih he erh n moions wihin he mosphere clerly follow cure phs (cyclones, nicyclones, hurricnes, ornoes ec.) We nee o epress roion quniiely. For soli objec or ny mss h oes no isor

More information

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3 and d = c b - b c c d = c b - b c c This process is coninued unil he nh row has been compleed. The complee array of coefficiens is riangular. Noe ha in developing he array an enire row may be divided or

More information

LAPLACE TRANSFORMS. 1. Basic transforms

LAPLACE TRANSFORMS. 1. Basic transforms LAPLACE TRANSFORMS. Bic rnform In hi coure, Lplce Trnform will be inroduced nd heir properie exmined; ble of common rnform will be buil up; nd rnform will be ued o olve ome dierenil equion by rnforming

More information

b denotes trend at time point t and it is sum of two

b denotes trend at time point t and it is sum of two Inernaional Conference on Innovaive Applicaions in Engineering and Inforaion echnology(iciaei207) Inernaional Journal of Advanced Scienific echnologies,engineering and Manageen Sciences (IJASEMSISSN: 2454356X)

More information

ASYMPTOTIC BEHAVIOR OF INTERMEDIATE SOLUTIONS OF FOURTH-ORDER NONLINEAR DIFFERENTIAL EQUATIONS WITH REGULARLY VARYING COEFFICIENTS

ASYMPTOTIC BEHAVIOR OF INTERMEDIATE SOLUTIONS OF FOURTH-ORDER NONLINEAR DIFFERENTIAL EQUATIONS WITH REGULARLY VARYING COEFFICIENTS Elecronic Journl of Differenil Equions, Vol. 06 06), No. 9, pp. 3. ISSN: 07-669. URL: hp://ejde.mh.xse.edu or hp://ejde.mh.un.edu ASYMPTOTIC BEHAVIOR OF INTERMEDIATE SOLUTIONS OF FOURTH-ORDER NONLINEAR

More information

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 2

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 2 ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER Seion Eerise -: Coninuiy of he uiliy funion Le λ ( ) be he monooni uiliy funion defined in he proof of eisene of uiliy funion If his funion is oninuous y hen

More information

1. Consider a PSA initially at rest in the beginning of the left-hand end of a long ISS corridor. Assume xo = 0 on the left end of the ISS corridor.

1. Consider a PSA initially at rest in the beginning of the left-hand end of a long ISS corridor. Assume xo = 0 on the left end of the ISS corridor. In Eercise 1, use sndrd recngulr Cresin coordine sysem. Le ime be represened long he horizonl is. Assume ll ccelerions nd decelerions re consn. 1. Consider PSA iniilly res in he beginning of he lef-hnd

More information

Systems Variables and Structural Controllability: An Inverted Pendulum Case

Systems Variables and Structural Controllability: An Inverted Pendulum Case Reserch Journl of Applied Sciences, Engineering nd echnology 6(: 46-4, 3 ISSN: 4-7459; e-issn: 4-7467 Mxwell Scienific Orgniion, 3 Submied: Jnury 5, 3 Acceped: Mrch 7, 3 Published: November, 3 Sysems Vribles

More information

IX.2 THE FOURIER TRANSFORM

IX.2 THE FOURIER TRANSFORM Chper IX The Inegrl Trnsform Mehods IX. The Fourier Trnsform November, 7 7 IX. THE FOURIER TRANSFORM IX.. The Fourier Trnsform Definiion 7 IX.. Properies 73 IX..3 Emples 74 IX..4 Soluion of ODE 76 IX..5

More information

Road noise sensitivity analysis with respect to suspension geometry

Road noise sensitivity analysis with respect to suspension geometry Rod noise sensiiviy nlysis wih respec o suspension geomery Fumihiko KOSAKA 1 ; Hiroki MIZUNO ; Tsuyoshi INOUE 3 ; Kenro TAKAGI 4 1, MITSUBISHI MOTORS ORPORATION, Jpn 3, 4 Ngoy Universiy, Jpn ABSTRAT In

More information

Inventory Management Models with Variable Holding Cost and Salvage value

Inventory Management Models with Variable Holding Cost and Salvage value OSR Journl of Business nd Mngemen OSR-JBM e-ssn: -X p-ssn: 9-. Volume ssue Jul. - Aug. PP - www.iosrjournls.org nvenory Mngemen Models wi Vrile Holding os nd Slvge vlue R.Mon R.Venkeswrlu Memics Dep ollege

More information

MTH 146 Class 11 Notes

MTH 146 Class 11 Notes 8.- Are of Surfce of Revoluion MTH 6 Clss Noes Suppose we wish o revolve curve C round n is nd find he surfce re of he resuling solid. Suppose f( ) is nonnegive funcion wih coninuous firs derivive on he

More information

Probability, Estimators, and Stationarity

Probability, Estimators, and Stationarity Chper Probbiliy, Esimors, nd Sionriy Consider signl genered by dynmicl process, R, R. Considering s funcion of ime, we re opering in he ime domin. A fundmenl wy o chrcerize he dynmics using he ime domin

More information

10. State Space Methods

10. State Space Methods . Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he

More information

SOME USEFUL MATHEMATICS

SOME USEFUL MATHEMATICS SOME USEFU MAHEMAICS SOME USEFU MAHEMAICS I is esy o mesure n preic he behvior of n elecricl circui h conins only c volges n currens. However, mos useful elecricl signls h crry informion vry wih ime. Since

More information

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

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

More information

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

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

More information