Adaptive Visual Servoing of Micro Aerial Vehicle with Switched System Model for Obstacle Avoidance

Size: px
Start display at page:

Download "Adaptive Visual Servoing of Micro Aerial Vehicle with Switched System Model for Obstacle Avoidance"

Transcription

1 3 IEEE Ieraioal Coferece o Syses Ma ad Cyereics Adapive Visual Servoig of Micro Aerial Vehicle wih Swiched Syse Model for Osacle Avoidace Cheg-Mig Huag Depare of Elecrical Egieerig Naioal aipei Uiversiy of echology aipei aiwa R.O.C. Mig-Li Chiag Depare of Elecrical Egieerig Naioal aiwa Uiversiy aipei aiwa R.O.C. Li-Che Fu Depares of Elecrical Egieerig Naioal aiwa Uiversiy aipei aiwa R.O.C. Asrac I his paper a visio ased adapive coroller is proposed for he osacle avoidace of a icro aerial vehicle (MAV) y usig he opical flow iforaio. I order o eploy he opical flow for idicaig he disace ewee he MAV ad surroudig he uli-hread processig algorih is proposed o relialy oai he opical flow iforaio uiforly diffused i he whole iage frae. he MAV syse is reaed as a swiched syse while aipulaig he differe odes durig he osacle avoidace ask. Based o he desired flyig direcio of osacle avoidace oaied y he opical flow esiaio we desig a adapive coroller such ha he desired raecory ca e racked uder differe swichig odes. he siulaios prese he rackig respose of he adapive coroller of a swiched syse ad he experies of he overall syse validae he collisio-avoidace perforace of he MAV. Keywords-Visual servoig; MAV; swiched syses;opical flow. I. INRODUCION I rece years a growig ieres has ee show i 3D rooics. For 3D rooics a wide area of his research is dedicaed o aerial plafors. he icro aerial vehicle (MAV) is oe kid of he uaed air vehicle which could e desiged o auooously fly i dagerous siuaios such as he scee of a fire cheical or uclear disaser area ad alefield ec. I order o avoid osacles durig flyig he disace could e esiaed y he ragig sesors such as he soar ifrared ad laser o oserve he surroudigs of he MAV. However hese ragig sesors are geerally oo expesive or oo large o add oo he MAV. he pihole caera wih low cos ad sall size is cooly applied o he MAV. Usig he sereo caera o he MAV [4 5] ca cosruc he deph iforaio aroud he caeras for osacle avoidace. he disace esiaio wih a sigle caera geerally uilizes he opical flow [6] which easures he oec displacee ewee he iages whe here is a relaive oio ewee he caera ad oecs. he opical flow iforaio also ca e uilized o esiae he oio of he caera or uild he ap of he eviroe [4]. Several researches develop he parallel copuig algorih o he graphic processig ui (GPU) [] o ge he opical flow rapidly. Here he opical flow iforaio i fro of he MAV which would geerae he ipu coad for coroller desig laer is fas ad relialy exraced wih parallel processig o he CPU copuig plafor. I addiio ay papers recely discuss he corol proles of MAV usig differe odels ad approaches. I [7] he auhors propose a oliear corol approach for he MAV wih ucerai paraeers. A deail discussio of odelig ad corol of he cosidered MAV is proposed i [8]. I [] ad [] rous adapive corollers are proposed for he MAV. I [3] a visio ased adapive coroller is discussed where he auhors cosidered oh he iage dyaics ad he vehicle dyaics o desig he coroller. Mos of he exisig resuls use sae feedack ad assue ha all he sae easurees are availale fro he sesors. As iroduced i previous his is expesive ad soeies ay o e availale. I his paper we odel he syse as a lack ox wih swiched rasfer fucios ad use he easuree for he caera oly. More specifically we cosider oupu feedack corol of a swiched liear syse usig he iforaio fro a sigle caera which is pracical o he MAV syse. I his paper he osacle avoidace of MAV oued wih a fro caera is accoplished y a adapive coroller ased o he opical flow. Firs he Kaade-Lucas-oasi (KL) [] feaure poi racker is applied o yield he opical flow iforaio. A uli-hread processig schee is also applied here o oai he opical flow relialy. Sice he flyig direcio for he origial ask of MAV is o desired o e chaged durig he osacle avoidace he MAV flyig sraegy is desiged y perforig he forward ad laeral acios wihou he yaw oio. hus he dyaics of he MAV is odeled as swiched syses. he ai coriuio of his paper is ha we uilize he iforaio oaied fro visio sesor o desig a rous coroller ased o he oupu of he ukow rasfer fucio which ay have swichig paraeers. he syse is regarded as a lack ox ad he corol of MAV is odeled as a swiched syse durig differe operaio odes. he orgaizaio of his paper is as follows. Secio II iproves he radiioal KL feaure poi racker o yield ore sufficie ad reliale opical flow iforaio. he collisio-avoidace flyig sraegy ased o he opical flow ad he cosidered prole are he descried i Secio III. he adapive corol ased visual servoig of he MAV which is operaed as a swiched syse is also provided here. Soe his work was suppored i par y he Naioal Sciece Coucil aiwa uder he gras: NSC --E ad -8-E--9-MY /3 $3. 3 IEEE DOI.9/SMC

2 siulaios ad he experieal resuls are preseed i Secio IV. Fially he coclusio is give i Secio V. II. OPICAL FLOW ESIMAION Sice he MAV cosidered here is oly equipped wih he caera sesor he feasile flyig pah has o e desiged fro he iage sequece. Here he scee is assued o e saic. he Kaade-Lucas-oasi (KL) feaure poi racker [] is applied o ideify he poi cosisecy ewee fraes. he poi displacee i.e. opical flow iplies he relaive disace ewee he MAV ad oec i he iage fraes. However he coveioal KL racker cao oai auda opical flow i he surroudigs ad is easily isled y disracers. Hece a iproved uli-hread KL racker is proposed i his secio o fas ad cosisely exrac he opical flow wih real-ie perforace. I order o relialy rack he pois across fraes he coveioal KL racker us selecs he sigifica pois such as he Harris corer scale-ivaria feaure rasfor (SIF) o e racked. As show i Fig. (a) he exraced corers would e rously ideified for a log period y he pyraid Lucas-Kaade ehod [3]. Oviously he resulig opical flow is oly resriced i he exured regio. he opical flow will o e origiaed fro he oecs wih uifor appearace. Cosiderig he visual flyig avigaio here is o coplee iforaio of he relaive disace for akig he decisio of MAV availale flyig space. (a) Harris corer () uifor disriuio Fig.. Copariso of poi disriuios. (a) iiially disriued pois; () rackig resul afer 5 fraes; Fig.. KL poi rackig resul o a lue oard uder caera viraio. Hece he opical flow iforaio is desired o fill i he full iage frae. he pois which would e racked y he KL algorih are uiforly seleced i he iage i he egiig as show i Fig. (). Usig he sraegy of uiforly arragig pois soe pois draw o he fla iage regio coai he iage paches which are siilar o he eighorhood. As illusraed i Fig. he pois o he fla regio ay e easily isled o he visual disracers ad cao edurigly resul i correc opical flow. Due o he lifeie of he idisiguishale poi rackig is shor he pois geeraed fro uifor disriuio have o e re-draw rapidly o iprove he usailiy of he. Figure 3 shows ha he KL algorih could perfor accepale rackig resuls for os of he pois wihi a shor period eve i he exureless regio. Moreover durig he MAV flyig he oserved pois would disappear due o ou he caera field of view. he racked pois ay also e disured ad shifed y he overlappig oecs. Fas re-drawig frequecy ca quickly copesae he pois wih opical flow iforaio for he sparse regio. Frae # Frae # Frae #3 Frae #4 Fig. 3. KL poi rackig wih rapid poi re-drawig o a whie wall while he caera is ovig oward he wall. he racked pois are uiforly redraw every hree fraes. he KL racker wih high poi re-drawig frequecy also preses he drawack ha all of he poi rackig raecories are erased whe he pois are re-draw. A ha oe he MAV has o ases for desigig he visual servoig. I order o repleish he opical flow iforaio he KL racker wih uli-hread processig is proposed here. akig he advaage of he curre CPU uli-core archiecure each hread of KL rackig for oe iage frae could e assiged o oe core of he CPU. he opical flow i he whole caera field of view he ca e exraced coiuously ad relialy as show i Fig. 4(a) wih he real-ie perforace. Sice he oec closer o he caera resuls i he larger displacee i he iage plae he opical flow iforaio oaied here could e uilized o avoid he osacles i fro of he MAV. he regio aroud he opical flow whose legh is saller ha he axiu adissile value will e regarded as he feasile flyig space as preseed i Fig. 4. he ceroid ( xc y c) of he feasile flyig space is also defied o idicae he flyig raecory of he MAV laer. (a) oe iage frae wih opical flow; () feasile flyig space (lue regio); Fig. 4. Feasile flyig space decided fro he legh of opical flow. 45

3 III. VISUAL SERVOING WIH ADAPIVE CONROL FOR SWICHED SYSEMS A. Prole Forulaio Fig. 5. MAV ody coordiae syse. Cosider a MAV of he quadroor ype wih he caera oued for capurig he fro view of he MAV. he caera opical ceer is assued o e he sae as he MAV ceroid ad he caera coordiae is cosise wih he MAV ody coordiae ( x y z ) as illusraed i Fig. 5. I order o aiai he origial flyig direcio of MAV ask he headig agle will o e chaged durig he osacle avoidace. he corol ipus eploy he forward velociy U alog he x axis he laeral velociy V alog he y axis ad he up-addow velociy W alog he z axis. he horizoal iage posiio x c ca e used o decide he MAV laeral oio ad he verical iage posiio y c ca draw he logiudial oio. Here he up-ad-dow velociy is us coaded o aiai he cosa heigh wihou cosiderig he iforaio of y c.give he iage oservaio x c of ad he caera cosa f he age fucio of he desired flyig direcio for osacle avoidace i he laeral plae ca e deoed as c a x Y f X () where X ad Y are he desired forward ad laeral displacee a curre ie respecively. Accordig o he operaio ehaviors ad dyaics of he MAV we assue ha he dyaic odel of he MAV ca e approxiaed as a hird order rasfer fucio wih relaive degree oe. his is ased o he oservaio fro experieal seup wih piecewise sep refereces. he ode of he quadroor ca e separaely odeled as differe rasfer fucios as follows hrough he syse ideificaio where he forward ode F of forward raslaio over he velociy U is G () p s ad he laeral ode F of he raslaio over he velociy V is G () s. p hrough he oservaio execuig he coads of oh odes siulaeously a every ie isa would easily ierfere wih he MAV y is airflow i he idoor eviroe. Hece he flyig odes are desired o e acivaed i urs a every ie isa. Whe he forward ode is acivaed he pla is F ad whe he laeral ode is acivaed he pla is F. Sice he approxiaed odel is o accurae ad ay have uceraiies he MAV pla paraeers are regarded as ukow ad a rous adapive coroller is proposed o corol his swiched plas wih he ucerai paraeers i he differe odes. he overall process of he closed-loop syse is show i Fig. 6. he syse is decoupled o x ad y axis respecively. For x axis whe he syse is i Forward ode is pla will e F. Whe he syse swiches o Laeral ode is dyaics will e F. I is he sae for y axis. Oe ipora poi is ha for x axis he referece raecory X d will e zero whe i Laeral ode (F) ad e cosa i Forward ode (F). Corarily for y axis he referece raecory Y d will e zero whe i Forward ode (F) ad e cosa i Laeral ode (F). he lock C x ad C y are corollers of x ad y axis respecively. Fig. 6. he lock diagra of he closed-loop syse. B. Adapive Corol of a Swiched Liear Syse As show i Fig. 6 we will desig a rous adapive coroller for he MAV which has differe dyaics i differe ode ad is regarded as a swiched syse. For sipliciy i he followig we will discuss he geeral syse i (3) ad i ca e easily applied o he cosidered case i Fig. 6. Cosider he swiched syse odeled y he rasfer fucio Zp () () s y Wp () ( s)[ u] [ u] () R () s p () where () {} is he swichig sigal ad Z () s s s s pi i i i R () s s a s a sa i. pi i i i he oupu y i () ay represe U or V respecively. X or Y ad he ipu u are he rasfer fucios Wpi () s i i () are sricly proper ad paraeers of he are ukow. he corol 45

4 oecive is o desig a adapive coroller such ha he syse oupu ca rack he desired oupu y. Noe ha for he x axis he referece y Xd ad for he y axis he referece y Yd. o desig he rous adapive coroller for he swiched pla () we ade he followig assupios: (A) All he rasfer fucios have he sae order ad he relaive degree is. (A) he firs derivaives of he referece oupu y are kow ad ouded. (A3) All he plas are copleely corollale ad oservale. (A4) he sigs of i are all kow ad he sae for all i P. (A5) All he ukow paraeers lie i a kow copac se. A variale srucure ased ackseppig coroller will e desiged such ha he rackig error will coverge o zero for arirary swichig sigals. Firs he adapive oserver wih K- filers [9] is used o esiae he sae. We rewrie () as ( ) x A xf y u (3) y C x where I A ad ( ) ( a ) a a ( ) ( ) F( y u) I y I ( ) ( ) ( ) Hereafer we will deoe e i he ih coordiae vecor ha is he vecor wih all zero copoes excep he ih copoe which is. Le k [ k... k ] such ha A A ke is Hurwiz ad hece here exiss a posiive defiie arix P P which saisfies A PPA I. (4) he K-filers o desig he adapive oserver is as follows: A ky (5) A F( yu ) Le he virual sae esiaor e xˆ (6) ad i is clear ha he esiaio error x xˆ will vaish expoeially wih A. Accordig o he srucure of F( y u ) we ca deoe [ v... v ] where v R... are colu vecors ha ca e oaied. fro a filer of ipu u ad R ca e oaied fro a filer of oupu y. Ipleeaio of he K-filers are suarized as follows [9]: A ey Aeu [ v... v ] v ( A )... [( A)... A ]. (7) ( A ) Now we will desig he adapive ackseppig coroller usig he K-filers ad uig fucio. Sice he relaive degree y (3) we have x x a y u x ye a u. (8) Fro (3) ad (8) we ca represe x x [ v v... v ] (9) as () where he su-idex i he righ had side deoes he secod copoe of he colu vecor v... ad () deoes he secod row of. he x [ v v... v ye ] u. () () v u Le he oupu error e z y y he z v u y. () Desig he corol u ˆ () where ˆ is he esiaio of /( ) ad cz dz v ˆ y (3) a where va [ v... v ]. o copesae he effecs caused y he swichig paraeers he coroller paraeers are decided y he followig variale srucure adapive laws: ˆ i sg( z) i i i (4) ˆ sg( )sg( z ) / for i.... he coroller is desiged ased o he Lyapuov aalysis as follows. Cosider he Lyapuov fucio cadidae ) V ( z P. (5) d he he ie derivaive of V is V ( ) ( ˆ c z v v ) a z z 4d (6) d( z) z 4d 453

5 c ( z ) ( v v ˆ ) z z a 4d z ( i izi i iz c ( ) v v ) ( z ) 4d c( z ) 4d Here ˆ ˆ ˆ i addiio we use (5) ad he equaliy z v y (7) i he derivaios. Fro aove aalysis we have achieve ha z y y ad covergece o zero expoeially which also iplies he oudedess of y x. Now we proceed o show he oudedess of he reaiig saes x... x y he defiiios of he filers. Fro (3) ad oudedess of z we kow ha he corol ipu u is ouded. he sice A is sale we kow ha is ouded which i ur iplies ha v... are ouded. Moreover is also ouded sice A is sale ad y is ouded. he y () x is ouded. Siilarly x 3... x are ouded sice is ouded. Accordig o aove aalysis he closed-loop syse is sale ad he oupu ca rack he referece oupu asypoically. Reark. Noe ha for he geeral relaive degree case of adapive corol wih uig fucio approach he iiu phase assupio is eeded [9]. I his paper sice we oly cosider he relaive degree oe case his assupio is o eeded as proved i previous discussios. IV. SIMULAIONS AND EXPERIMENAL RESULS A. Siulaios For he proposed coroller we perfor he followig siulaios o validae he resuls i Secio III. o show he rousess of he coroller o he swichig ode he x axis referece X d he x axis raecory ad he pla ode swich every oe secod as show i Fig. 7. he rasfer fucios which is oaied fro experie is as follows:.377s 3.3S GP() s ( F) 3 S 6.537S.77S S.9S.7 GP () s ( F) 3 S 5.975S 8.97S.47 We ca see ha he oupu racks he referece asypoically o aer how he pla ode swiches. However here are soe rasies due o he swichig of he referece raecory. We wa o ephasize ha he rasie is o due o pla swichig u is caused y he referece raecory. he respose of y is siilar. Moreover i he corol law () we use y for he cosidered case sice he o-differeiale pois are easure zero. Swichig ode (F) ie (sec) ie (sec) Fig. 7. rackig perforace of x axis. B. Expeies he visual osacle deecio eploys he opical esiaio eioed i secio which ca e ipleeed y he OpeCV iage lirary o he Iel 3.3GHz CPU wih four cores. he uli-hread processig of opical esiaio akes four hreads ad each hread re-draws he pois every four fraes y urs. he MAV uilizes he Parro AR.Droe. o es he proposed visual servoig algorihs. he overall process of he visual deecio ad servoig ca e accoplished wih real-ie perforace. he lue circles i Fig. 8 dicae he desired flyig direcio decided fro he opical flow iforaio a each frae ad he correspodig MAV flyig sapshos capured fro he hird view are preseed i Fig. 9. he origial flyig direcio of he MAV is se o pass hrough he idoor corridor. Durig he flyig he MAV firs faces he oxes i he iddle he corridor. he desired flyig direcio is he adused lef ad he MAV acivaes he forward ode ad laeral ode y urs o cross he oxes. However his avoidace leads he MAV oward he wall a frae #56. Sice he wall resuls i he larger opical flow whe he MAV ovig forward he feasile flyig direcio is revised o righ a frae #585. he MAV also ries o avoid he ale i he followig fraes of frae #6. By uilizig he visual collisio-avoidace sraegy ad he adapive visual servoig of he swiched flyig odes proposed i secio ad 3 respecively he MAV ca successfully cross he osacles ad aiai he flyig direcio o pass hrough he corridor a las. V. CONCLUSION his paper preses a visual collisio-avoidace syse for MAV flyig which icludes he visual osacle deecio ad visual flyig corol. he osacle deecio eploys he X d X 454

6 frae #463 frae #53 frae #57 frae #54 frae #56 frae #575 frae #585 frae #6 frae #646 frae #68 frae #779 frae #87 Fig. 8. Osacle avoidace capured fro he caera view. frae #463 frae #53 frae #57 frae #54 frae #56 frae #575 frae #585 frae #6 frae #646 frae #68 frae #779 frae #87 Fig. 9. Osacle avoidace capured fro he hird view. he su-widow i each frae is he correspodig view fro he caera o MAV. opical flow o decide he ifeasile flyig space. I order o oai eough opical flow iforaio fro he KL feaure poi rackig he feaure pois are desired o e uiforly diffused i he whole iage frae. he uli-hread processig of KL feaure poi rackig wih he fas poi re-drawig y urs is developed o exrac reliale opical flow. Based o he opical flow iforaio he desired flyig direcio wih he forward ad laeral displacees of MAV is seleced o avoid he osacle. Moreover a adapive visual servoig corol for MAV is proposed i his paper. For he osacle avoidace ask he MAV is odeled as a swiched syse ad he he rous adapive coroller is desiged o achieve he oecive. Whereas os of he exisig resulig assue sae feedack ad eploy ay sesors we use a sigle caera as a sesor ad he proposed oupu feedack corol syse uses his easuree oly. REFERENCES [] J. Shi ad C. oasi Good feaures o rack IEEE Cof. Copuer Visio ad Paer Recogiio pp [] M. Adriluka S. Roh B. Schiele Moocular 3D pose esiaio ad rackig y deecio i Proc. IEEE Cof. Copuer Visio ad Paer Recogiio vol. pp [3] J. Y. Bougue Pyraidal ipleeaio of he Lucas Kaade feaure racker descripio of he algorih Iel Corporaio Microprocessor Research Las. [4] F. Fraudorfer L. Heg D. Hoegger G. H. Lee P. askae M. Pollefeys Visio-ased auooous appig ad exploraio usig a quadroor MAV IEEE Ieraioal Coferece o Iellige Roos ad Syses pp [5] H. Yu R. W. Beard ad J. Byre Visio-ased local uli-resoluio appig ad pah plaig for iiaure air vehicles Aerica Corol Coferece pp [6] S. Zigg D. Scarauzza S. Weiss ad R. Siegwar MAV avigaio hrough idoor corridors usig opical flow IEEE Ieraioal Coferece o Rooics ad Auoaio (ICRA) pp [7] C. Diao B. Xia X. Gu B. Zhao ad J. Guo Noliear Corol for a uderacuaed quadroor uaed aerial vehicle wih paraeric uceraiies Proc. 3 s Chiese Corol Coferece pp [8] M. Schreier Modelig ad adapive corol of a Quadroor IEEE Ieraioal Coferece o Mechroics ad Auoaio (ICRA) pp [9] M. Krsic I. kaellakopoulos ad P. Kokoovic Noliear ad Adapive Corol Desig Joh Wiley & Sos 995. [] K. Pauwels M. oasi J. Diaz Aloso E. Ros M. M. Va Hulle A copariso of FPGA ad GPU for real-ie phase-ased opical flow sereo ad local iage feaures IEEE rasacios o Copuers vol. 6 o. 7 pp [] C. Nicol C.J.B. Maca A. Rairez-Serrao Rous adapive corol of a quadroor helicoper vol. o. 6 pp Mecharoics. []. Haela R. Mahoy Iage ased visual servo corol for a class of aerial rooic syses Auoaica 7. [3] D. Lee C. Naara. C. Burg ad D.. M. Dawso Adapive rackig corol of a uderacuaed aerial vehicle Proc. Aerica Corol Coferece. [4] M. Krsic I. kaellakopoulos ad P. Kokoovic Noliear ad Adapive Corol Desig Joh Wiley & Sos

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

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

More information

CHARACTERIZATIONS OF THE NON-UNIFORM IN TIME ISS PROPERTY AND APPLICATIONS

CHARACTERIZATIONS OF THE NON-UNIFORM IN TIME ISS PROPERTY AND APPLICATIONS CHARACTERIZATIONS OF THE NON-UNIFORM IN TIME ISS PROPERTY AND APPLICATIONS I. Karafyllis ad J. Tsiias Depare of Maheaics, Naioal Techical Uiversiy of Ahes, Zografou Capus 578, Ahes, Greece Eail: jsi@ceral.ua.gr.

More information

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar

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

More information

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

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

More information

Introduction to Mobile Robotics Mapping with Known Poses

Introduction to Mobile Robotics Mapping with Known Poses Iroducio o Mobile Roboics Mappig wih Kow Poses Wolfra Burgard Cyrill Sachiss Mare Beewi Kai Arras Why Mappig? Learig aps is oe of he fudaeal probles i obile roboics Maps allow robos o efficiely carry ou

More information

Sliding Mode Control for Robust Stabilization of Uncertain Input-Delay Systems

Sliding Mode Control for Robust Stabilization of Uncertain Input-Delay Systems 98 CSE: he siue of Corol, uoaio ad Syses Egieers, KORE Vol, No, Jue, Slidig Mode Corol for Robus Sabilizaio of Ucerai pu-delay Syses Youg-Hoo Roh ad Ju-Ho Oh bsrac: his paper is cocered wih a delay-depede

More information

Recursive Identification of Hammerstein Systems with Polynomial Function Approximation

Recursive Identification of Hammerstein Systems with Polynomial Function Approximation Ieraioal Joural of Maagee ad Fuzzy Syses 7; 3(6): 87-94 hp://www.sciecepublishiggroup.co//ifs doi:.648/.ifs.736. ISSN: 575-4939 (Pri); ISSN: 575-4947 (Olie) Research/echical Noe Recursive Ideificaio of

More information

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

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

More information

Paper Introduction. ~ Modelling the Uncertainty in Recovering Articulation from Acoustics ~ Korin Richmond, Simon King, and Paul Taylor.

Paper Introduction. ~ Modelling the Uncertainty in Recovering Articulation from Acoustics ~ Korin Richmond, Simon King, and Paul Taylor. Paper Iroducio ~ Modellig he Uceraiy i Recoverig Ariculaio fro Acousics ~ Kori Richod, Sio Kig, ad Paul Taylor Tooi Toda Noveber 6, 2003 Proble Addressed i This Paper Modellig he acousic-o-ariculaory appig

More information

Notes 03 largely plagiarized by %khc

Notes 03 largely plagiarized by %khc 1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our

More information

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion BE.43 Tuorial: Liear Operaor Theory ad Eigefucio Expasio (adaped fro Douglas Lauffeburger) 9//4 Moivaig proble I class, we ecouered parial differeial equaios describig rasie syses wih cheical diffusio.

More information

A quadratic convergence method for the management equilibrium model

A quadratic convergence method for the management equilibrium model (IJACSA Ieraioal Joural of Advaced Copuer Sciece ad Applicaios Vol No 9 03 A quadraic covergece ehod for he aagee equilibriu odel Jiayi Zhag Feixia School Liyi Uiversiy Feixia Shadog PRChia Absrac i his

More information

The analysis of the method on the one variable function s limit Ke Wu

The analysis of the method on the one variable function s limit Ke Wu Ieraioal Coferece o Advaces i Mechaical Egieerig ad Idusrial Iformaics (AMEII 5) The aalysis of he mehod o he oe variable fucio s i Ke Wu Deparme of Mahemaics ad Saisics Zaozhuag Uiversiy Zaozhuag 776

More information

E will be denoted by n

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

More information

11. Adaptive Control in the Presence of Bounded Disturbances Consider MIMO systems in the form,

11. Adaptive Control in the Presence of Bounded Disturbances Consider MIMO systems in the form, Lecure 6. Adapive Corol i he Presece of Bouded Disurbaces Cosider MIMO sysems i he form, x Aref xbu x Bref ycmd (.) y Cref x operaig i he presece of a bouded ime-depede disurbace R. All he assumpios ad

More information

B. Maddah INDE 504 Simulation 09/02/17

B. Maddah INDE 504 Simulation 09/02/17 B. Maddah INDE 54 Simulaio 9/2/7 Queueig Primer Wha is a queueig sysem? A queueig sysem cosiss of servers (resources) ha provide service o cusomers (eiies). A Cusomer requesig service will sar service

More information

Supplementary Figure S1 Characterization of the two-qubit system. a-d, When the nuclear spin is polarized along the

Supplementary Figure S1 Characterization of the two-qubit system. a-d, When the nuclear spin is polarized along the Suppleeary Figure S Characeriaio of he wo-qubi syse. a-d Whe he uclear spi is polaried alog he axis is free precessio sigal abou he axis is odulaed by he relaive agle bewee he codiioal local fields. a-b

More information

Math 6710, Fall 2016 Final Exam Solutions

Math 6710, Fall 2016 Final Exam Solutions Mah 67, Fall 6 Fial Exam Soluios. Firs, a sude poied ou a suble hig: if P (X i p >, he X + + X (X + + X / ( evaluaes o / wih probabiliy p >. This is roublesome because a radom variable is supposed o be

More information

1 Notes on Little s Law (l = λw)

1 Notes on Little s Law (l = λw) Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i

More information

Big O Notation for Time Complexity of Algorithms

Big O Notation for Time Complexity of Algorithms BRONX COMMUNITY COLLEGE of he Ciy Uiversiy of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI 33 Secio E01 Hadou 1 Fall 2014 Sepember 3, 2014 Big O Noaio for Time Complexiy of Algorihms Time

More information

Class 36. Thin-film interference. Thin Film Interference. Thin Film Interference. Thin-film interference

Class 36. Thin-film interference. Thin Film Interference. Thin Film Interference. Thin-film interference Thi Film Ierferece Thi- ierferece Ierferece ewee ligh waves is he reaso ha hi s, such as soap ules, show colorful paers. Phoo credi: Mila Zikova, via Wikipedia Thi- ierferece This is kow as hi- ierferece

More information

TELEOPERATION OF MOBILE ROBOTS

TELEOPERATION OF MOBILE ROBOTS Lai Aerica Applied Research 36:79-86 (6) ELEOPERAION OF MOBILE ROBOS E SLAWIÑSKI V MU ad JF POSIGO Isiuo de Auoáica (INAU) Uiersidad Nacioal de Sa Jua A Liberador Sa Marí 9 (oese) J54ARL Sa Jua Argeia

More information

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1)

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1) Fourier Series Iroducio I his secio we will sudy periodic sigals i ers o heir requecy is said o be periodic i coe Reid ha a sigal ( ) ( ) ( ) () or every, where is a uber Fro his deiiio i ollows ha ( )

More information

Comparison between Fourier and Corrected Fourier Series Methods

Comparison between Fourier and Corrected Fourier Series Methods Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1

More information

Optimization-based Alignment for Strapdown Inertial Navigation System: Comparison and Extension

Optimization-based Alignment for Strapdown Inertial Navigation System: Comparison and Extension Opiizaio-ased Alige for Srapdow Ierial Navigaio Syse: Copariso ad Exesio Lui Chag, Meer, IEEE, Jigshu Li, ad Kailog Li Asrac I his paper, he opiizaio-ased alige (OBA) ehods are ivesigaed wih ai focus o

More information

PLASTIC BUCKLING OF SSSS THIN RECTANGULAR PLATES SUBJECTED TO UNIAXIAL COMPRESSION USING TAYLOR-MACLAURIN SHAPE FUNCTION

PLASTIC BUCKLING OF SSSS THIN RECTANGULAR PLATES SUBJECTED TO UNIAXIAL COMPRESSION USING TAYLOR-MACLAURIN SHAPE FUNCTION I. J. Sruc. & Civil Egg. es. 013 U G Eziefula e al., 013 esearch Paper ISSN 319 6009 www.ijscer.co Vol., No., Noveer 013 013 IJSCE. All ighs eserved PLASTIC BUCKLING OF SSSS THIN ECTANGULA PLATES SUBJECTED

More information

A Complex Neural Network Algorithm for Computing the Largest Real Part Eigenvalue and the corresponding Eigenvector of a Real Matrix

A Complex Neural Network Algorithm for Computing the Largest Real Part Eigenvalue and the corresponding Eigenvector of a Real Matrix 4h Ieraioal Coferece o Sesors, Mecharoics ad Auomaio (ICSMA 06) A Complex Neural Newor Algorihm for Compuig he Larges eal Par Eigevalue ad he correspodig Eigevecor of a eal Marix HANG AN, a, XUESONG LIANG,

More information

Solutions to selected problems from the midterm exam Math 222 Winter 2015

Solutions to selected problems from the midterm exam Math 222 Winter 2015 Soluios o seleced problems from he miderm eam Mah Wier 5. Derive he Maclauri series for he followig fucios. (cf. Pracice Problem 4 log( + (a L( d. Soluio: We have he Maclauri series log( + + 3 3 4 4 +...,

More information

6.01: Introduction to EECS I Lecture 3 February 15, 2011

6.01: Introduction to EECS I Lecture 3 February 15, 2011 6.01: Iroducio o EECS I Lecure 3 February 15, 2011 6.01: Iroducio o EECS I Sigals ad Sysems Module 1 Summary: Sofware Egieerig Focused o absracio ad modulariy i sofware egieerig. Topics: procedures, daa

More information

A Generalized Cost Malmquist Index to the Productivities of Units with Negative Data in DEA

A Generalized Cost Malmquist Index to the Productivities of Units with Negative Data in DEA Proceedigs of he 202 Ieraioal Coferece o Idusrial Egieerig ad Operaios Maageme Isabul, urey, July 3 6, 202 A eeralized Cos Malmquis Ide o he Produciviies of Uis wih Negaive Daa i DEA Shabam Razavya Deparme

More information

Section 8 Convolution and Deconvolution

Section 8 Convolution and Deconvolution APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:

More information

Optimum design of complementary transient experiments for estimating thermal properties

Optimum design of complementary transient experiments for estimating thermal properties Opiu desig of copleeary rasie experies for esiaig heral properies Jaes V. Beck*, Filippo de Moe, Doald E. Aos *Depare of Mechaical Egieerig, Michiga Sae Uiversiy, USA Depare of Idusrial ad Iforaio Egieerig

More information

Calculus BC 2015 Scoring Guidelines

Calculus BC 2015 Scoring Guidelines AP Calculus BC 5 Scorig Guidelies 5 The College Board. College Board, Advaced Placeme Program, AP, AP Ceral, ad he acor logo are regisered rademarks of he College Board. AP Ceral is he official olie home

More information

Chemistry 1B, Fall 2016 Topics 21-22

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

More information

Fuzzy PID Iterative learning control for a class of Nonlinear Systems with Arbitrary Initial Value Xiaohong Hao and Dongjiang Wang

Fuzzy PID Iterative learning control for a class of Nonlinear Systems with Arbitrary Initial Value Xiaohong Hao and Dongjiang Wang 7h Ieraioal Coferece o Educaio Maageme Compuer ad Medicie (EMCM 216) Fuzzy PID Ieraive learig corol for a class of Noliear Sysems wih Arbirary Iiial Value Xiaohog Hao ad Dogjiag Wag School of Compuer ad

More information

Some Newton s Type Inequalities for Geometrically Relative Convex Functions ABSTRACT. 1. Introduction

Some Newton s Type Inequalities for Geometrically Relative Convex Functions ABSTRACT. 1. Introduction Malaysia Joural of Mahemaical Scieces 9(): 49-5 (5) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/joural Some Newo s Type Ieualiies for Geomerically Relaive Covex Fucios

More information

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i) Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he

More information

Stationarity and Error Correction

Stationarity and Error Correction Saioariy ad Error Correcio. Saioariy a. If a ie series of a rado variable Y has a fiie σ Y ad σ Y,Y-s or deeds oly o he lag legh s (s > ), bu o o, he series is saioary, or iegraed of order - I(). The rocess

More information

An Analysis of State Evolution for Approximate Message Passing with Side Information

An Analysis of State Evolution for Approximate Message Passing with Side Information A Aalysis of Sae Evoluio for Approxiae Message Passig wih Side Iforaio Hagji Liu NC Sae Uiversiy Eail: hliu5@csu.edu Cyhia Rush Colubia Uiversiy Eail: cyhia.rush@colubia.edu Dror Baro NC Sae Uiversiy Eail:

More information

STK4080/9080 Survival and event history analysis

STK4080/9080 Survival and event history analysis STK48/98 Survival ad eve hisory aalysis Marigales i discree ime Cosider a sochasic process The process M is a marigale if Lecure 3: Marigales ad oher sochasic processes i discree ime (recap) where (formally

More information

ECE-314 Fall 2012 Review Questions

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

More information

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

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

More information

Electrical Engineering Department Network Lab.

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

More information

International Association of Scientific Innovation and Research (IASIR) (An Association Unifying the Sciences, Engineering, and Applied Research)

International Association of Scientific Innovation and Research (IASIR) (An Association Unifying the Sciences, Engineering, and Applied Research) Ieraioal Associaio of Scieific Iovaio ad Research (IASIR (A Associaio Uifyig he Scieces, Egieerig, ad Applied Research ISSN (Pri: 79- ISSN (Olie: 79-39 Ieraioal Joural of Egieerig, Busiess ad Eerprise

More information

Clock Skew and Signal Representation

Clock Skew and Signal Representation Clock Skew ad Sigal Represeaio Ch. 7 IBM Power 4 Chip 0/7/004 08 frequecy domai Program Iroducio ad moivaio Sequeial circuis, clock imig, Basic ools for frequecy domai aalysis Fourier series sigal represeaio

More information

A Robust H Filter Design for Uncertain Nonlinear Singular Systems

A Robust H Filter Design for Uncertain Nonlinear Singular Systems A Robus H Filer Desig for Ucerai Noliear Sigular Sysems Qi Si, Hai Qua Deparme of Maageme Ier Mogolia He ao College Lihe, Chia College of Mahemaics Sciece Ier Mogolia Normal Uiversiy Huhho, Chia Absrac

More information

NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE

NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE Yugoslav Joural of Operaios Research 8 (2008, Number, 53-6 DOI: 02298/YUJOR080053W NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE Jeff Kuo-Jug WU, Hsui-Li

More information

Discrete-Time Signals and Systems. Introduction to Digital Signal Processing. Independent Variable. What is a Signal? What is a System?

Discrete-Time Signals and Systems. Introduction to Digital Signal Processing. Independent Variable. What is a Signal? What is a System? Discree-Time Sigals ad Sysems Iroducio o Digial Sigal Processig Professor Deepa Kudur Uiversiy of Toroo Referece: Secios. -.4 of Joh G. Proakis ad Dimiris G. Maolakis, Digial Sigal Processig: Priciples,

More information

A new multiple access scheme for DC power line communications

A new multiple access scheme for DC power line communications A ew uliple access schee for DC power lie couicaios Ofer Arai Tel Aviv Uiversiy Tel Aviv, Israel ofera@eg.au.ac.il Asrac Coeio deecio ad resoluio procedure is preseed. This procedure is ailored for use

More information

Problems and Solutions for Section 3.2 (3.15 through 3.25)

Problems and Solutions for Section 3.2 (3.15 through 3.25) 3-7 Problems ad Soluios for Secio 3 35 hrough 35 35 Calculae he respose of a overdamped sigle-degree-of-freedom sysem o a arbirary o-periodic exciaio Soluio: From Equaio 3: x = # F! h "! d! For a overdamped

More information

Online Supplement to Reactive Tabu Search in a Team-Learning Problem

Online Supplement to Reactive Tabu Search in a Team-Learning Problem Olie Suppleme o Reacive abu Search i a eam-learig Problem Yueli She School of Ieraioal Busiess Admiisraio, Shaghai Uiversiy of Fiace ad Ecoomics, Shaghai 00433, People s Republic of Chia, she.yueli@mail.shufe.edu.c

More information

Available online at ScienceDirect. Procedia Computer Science 103 (2017 ) 67 74

Available online at   ScienceDirect. Procedia Computer Science 103 (2017 ) 67 74 Available olie a www.sciecedirec.com ScieceDirec Procedia Compuer Sciece 03 (07 67 74 XIIh Ieraioal Symposium «Iellige Sysems» INELS 6 5-7 Ocober 06 Moscow Russia Real-ime aerodyamic parameer ideificaio

More information

Series Expansion with Wavelets. Advanced Signal Processing Reinisch Bernhard Teichtmeister Georg

Series Expansion with Wavelets. Advanced Signal Processing Reinisch Bernhard Teichtmeister Georg Series Expasio wih Waveles Advaced Sigal Processig - 7 Reiisch Berhard Teicheiser Georg Iroducio Series expasio Fourier Series: Eiher periodic or badliied sigals Tiedoai: No frequecy iforaio Fourierdoai:

More information

b : the two eigenvectors of the Grover iteration Quantum counting algorithm

b : the two eigenvectors of the Grover iteration Quantum counting algorithm .5.3. Quau couig algorih How quickly ca we deerie he uber of arge saes i Grover s algorih, i.e. arked saes, r, o a N= daa base search proble, if r is o kow i advace. Classical search ~ ( N ) Quau search

More information

A State and Parameter Identification Scheme for Linearly Parameterized Systems

A State and Parameter Identification Scheme for Linearly Parameterized Systems ASME Joural of Dyaic Syses, Measuree ad Corol, Vol. 4 Dec 998,.54-58 A Sae ad Paraeer Ideificaio Schee for Liearly Paraeerized Syses Chia-Shag Liu ad Huei Peg Deare of Mechaical Egieerig ad Alied Mechaics

More information

MITPress NewMath.cls LAT E X Book Style Size: 7x9 September 27, :04am. Contents

MITPress NewMath.cls LAT E X Book Style Size: 7x9 September 27, :04am. Contents Coes 1 Temporal filers 1 1.1 Modelig sequeces 1 1.2 Temporal filers 3 1.2.1 Temporal Gaussia 5 1.2.2 Temporal derivaives 6 1.2.3 Spaioemporal Gabor filers 8 1.3 Velociy-ued filers 9 Bibliography 13 1

More information

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE Mohia & Samaa, Vol. 1, No. II, December, 016, pp 34-49. ORIGINAL RESEARCH ARTICLE OPEN ACCESS FIED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE 1 Mohia S. *, Samaa T. K. 1 Deparme of Mahemaics, Sudhir Memorial

More information

Lecture 9: Polynomial Approximations

Lecture 9: Polynomial Approximations CS 70: Complexiy Theory /6/009 Lecure 9: Polyomial Approximaios Isrucor: Dieer va Melkebeek Scribe: Phil Rydzewski & Piramaayagam Arumuga Naiar Las ime, we proved ha o cosa deph circui ca evaluae he pariy

More information

Dynamic h-index: the Hirsch index in function of time

Dynamic h-index: the Hirsch index in function of time Dyamic h-idex: he Hirsch idex i fucio of ime by L. Egghe Uiversiei Hassel (UHassel), Campus Diepebeek, Agoralaa, B-3590 Diepebeek, Belgium ad Uiversiei Awerpe (UA), Campus Drie Eike, Uiversieisplei, B-260

More information

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017 Deparme of Ecoomics The Ohio Sae Uiversiy Ecoomics 8723 Macroecoomic Theory Problem Se 2 Professor Sajay Chugh Sprig 207 Labor Icome Taxes, Nash-Bargaied Wages, ad Proporioally-Bargaied Wages. I a ecoomy

More information

Review Exercises for Chapter 9

Review Exercises for Chapter 9 0_090R.qd //0 : PM Page 88 88 CHAPTER 9 Ifiie Series I Eercises ad, wrie a epressio for he h erm of he sequece..,., 5, 0,,,, 0,... 7,... I Eercises, mach he sequece wih is graph. [The graphs are labeled

More information

WILD Estimating Abundance for Closed Populations with Mark-Recapture Methods

WILD Estimating Abundance for Closed Populations with Mark-Recapture Methods WILD 50 - Esiaig Abudace for Closed Populaios wih Mark-Recapure Mehods Readig: Chaper 4 of WNC book (especially secios 4. & 4.) Esiaig N is uch ore difficul ha you igh iiially expec A variey of ehods ca

More information

A Note on Random k-sat for Moderately Growing k

A Note on Random k-sat for Moderately Growing k A Noe o Radom k-sat for Moderaely Growig k Ju Liu LMIB ad School of Mahemaics ad Sysems Sciece, Beihag Uiversiy, Beijig, 100191, P.R. Chia juliu@smss.buaa.edu.c Zogsheg Gao LMIB ad School of Mahemaics

More information

Comparisons Between RV, ARV and WRV

Comparisons Between RV, ARV and WRV Comparisos Bewee RV, ARV ad WRV Cao Gag,Guo Migyua School of Maageme ad Ecoomics, Tiaji Uiversiy, Tiaji,30007 Absrac: Realized Volailiy (RV) have bee widely used sice i was pu forward by Aderso ad Bollerslev

More information

CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS

CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS PB Sci Bull, Series A, Vol 78, Iss 4, 2016 ISSN 1223-7027 CLOSED FORM EVALATION OF RESTRICTED SMS CONTAINING SQARES OF FIBONOMIAL COEFFICIENTS Emrah Kılıc 1, Helmu Prodiger 2 We give a sysemaic approach

More information

Spectral Simulation of Turbulence. and Tracking of Small Particles

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

More information

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003 ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous

More information

Higher-order Adaptive Iterative Control for Uncertain Robot Manipulators *

Higher-order Adaptive Iterative Control for Uncertain Robot Manipulators * Proceeigs of he 6 h Chiese Corol Coferece July 6-3 7 Zhagiaie Hua Chia Higher-orer Aapive Ieraive Corol for Ucerai Robo aipulaors * Qua Qua Wag Xihua Cai Kaiyua School of Auoaio Sciece a Elecrical Egieerig

More information

L-functions and Class Numbers

L-functions and Class Numbers L-fucios ad Class Numbers Sude Number Theory Semiar S. M.-C. 4 Sepember 05 We follow Romyar Sharifi s Noes o Iwasawa Theory, wih some help from Neukirch s Algebraic Number Theory. L-fucios of Dirichle

More information

N! AND THE GAMMA FUNCTION

N! AND THE GAMMA FUNCTION N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio

More information

Fresnel Dragging Explained

Fresnel Dragging Explained Fresel Draggig Explaied 07/05/008 Decla Traill Decla@espace.e.au The Fresel Draggig Coefficie required o explai he resul of he Fizeau experime ca be easily explaied by usig he priciples of Eergy Field

More information

On Acoustic Radiation by Rotating Dipole Sources in Frequency Domain

On Acoustic Radiation by Rotating Dipole Sources in Frequency Domain www.ccsee.org/as Moder Applied Sciece Vol. 5, No. 5; Ocober 211 O Acousic Radiaio by Roaig Dipole Sources i Frequecy Doai Zhihog Liu Ceer of Eergy ad Eviroe, QigDao Techological Uiversiy 11 FuShu Road,

More information

ES 330 Electronics II Homework 03 (Fall 2017 Due Wednesday, September 20, 2017)

ES 330 Electronics II Homework 03 (Fall 2017 Due Wednesday, September 20, 2017) Pae1 Nae Soluios ES 330 Elecroics II Hoework 03 (Fall 017 ue Wedesday, Sepeber 0, 017 Proble 1 You are ive a NMOS aplifier wih drai load resisor R = 0 k. The volae (R appeari across resisor R = 1.5 vols

More information

SUMMATION OF INFINITE SERIES REVISITED

SUMMATION OF INFINITE SERIES REVISITED SUMMATION OF INFINITE SERIES REVISITED I several aricles over he las decade o his web page we have show how o sum cerai iiie series icludig he geomeric series. We wa here o eed his discussio o he geeral

More information

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition.

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition. ! Revised April 21, 2010 1:27 P! 1 Fourier Series David Radall Assume ha u( x,) is real ad iegrable If he domai is periodic, wih period L, we ca express u( x,) exacly by a Fourier series expasio: ( ) =

More information

6.003: Signals and Systems

6.003: Signals and Systems 6.003: Sigals ad Sysems Lecure 8 March 2, 2010 6.003: Sigals ad Sysems Mid-erm Examiaio #1 Tomorrow, Wedesday, March 3, 7:30-9:30pm. No reciaios omorrow. Coverage: Represeaios of CT ad DT Sysems Lecures

More information

Math 2414 Homework Set 7 Solutions 10 Points

Math 2414 Homework Set 7 Solutions 10 Points Mah Homework Se 7 Soluios 0 Pois #. ( ps) Firs verify ha we ca use he iegral es. The erms are clearly posiive (he epoeial is always posiive ad + is posiive if >, which i is i his case). For decreasig we

More information

S n. = n. Sum of first n terms of an A. P is

S n. = n. Sum of first n terms of an A. P is PROGREION I his secio we discuss hree impora series amely ) Arihmeic Progressio (A.P), ) Geomeric Progressio (G.P), ad 3) Harmoic Progressio (H.P) Which are very widely used i biological scieces ad humaiies.

More information

Supplementary Information for Thermal Noises in an Aqueous Quadrupole Micro- and Nano-Trap

Supplementary Information for Thermal Noises in an Aqueous Quadrupole Micro- and Nano-Trap Supplemeary Iformaio for Thermal Noises i a Aqueous Quadrupole Micro- ad Nao-Trap Jae Hyu Park ad Predrag S. Krsić * Physics Divisio, Oak Ridge Naioal Laboraory, Oak Ridge, TN 3783 E-mail: krsicp@orl.gov

More information

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi Liear lgebra Lecure #9 Noes This week s lecure focuses o wha migh be called he srucural aalysis of liear rasformaios Wha are he irisic properies of a liear rasformaio? re here ay fixed direcios? The discussio

More information

A Probabilistic Nearest Neighbor Filter for m Validated Measurements.

A Probabilistic Nearest Neighbor Filter for m Validated Measurements. A Probabilisic Neares Neighbor iler for m Validaed Measuremes. ae Lyul Sog ad Sag Ji Shi ep. of Corol ad Isrumeaio Egieerig, Hayag Uiversiy, Sa-og 7, Asa, Kyuggi-do, 45-79, Korea Absrac - he simples approach

More information

Improvement Over General And Wider Class of Estimators Using Ranked Set Sampling

Improvement Over General And Wider Class of Estimators Using Ranked Set Sampling ITERATIOAL JOURAL OF SIETIFI & TEOLOG RESEAR VOLUME ISSUE 7 AUGUST ISS 77-866 Iprovee Over Geeral Ad ider lass of Esiaors Usi Raked Se Sapli V L Madoara iu Meha Raka Absrac: I his paper Iprovee over eeral

More information

5.74 Introductory Quantum Mechanics II

5.74 Introductory Quantum Mechanics II MIT OpeCourseWare hp://ocw.mi.edu 5.74 Iroducory Quaum Mechaics II Sprig 009 For iformaio aou ciig hese maerials or our Terms of Use, visi: hp://ocw.mi.edu/erms. drei Tokmakoff, MIT Deparme of Chemisry,

More information

Performances and Stability Analysis of Networked Control Systems

Performances and Stability Analysis of Networked Control Systems Performaces ad Sabiliy Aalysis of Neworked Corol Sysems Yuaqig Xia, Li Zhou, Jie Che, Guopig Liu 2. Beijig Isiue of echology, Beijig 8,Chia E-mail: xia_yuaqig@63.e lixi_545@bi.edu.c chejie@bi.edu.c 2.

More information

CSE 241 Algorithms and Data Structures 10/14/2015. Skip Lists

CSE 241 Algorithms and Data Structures 10/14/2015. Skip Lists CSE 41 Algorihms ad Daa Srucures 10/14/015 Skip Liss This hadou gives he skip lis mehods ha we discussed i class. A skip lis is a ordered, doublyliked lis wih some exra poiers ha allow us o jump over muliple

More information

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS Opimal ear Forecasig Alhough we have o meioed hem explicily so far i he course, here are geeral saisical priciples for derivig he bes liear forecas, ad

More information

Intro to multivariate AR(1) models estimating interaction strengths, aka the B matrix

Intro to multivariate AR(1) models estimating interaction strengths, aka the B matrix Iro o ulivariae AR(1) odels esiaig ieracio sreghs, aka he B ari Eli Holes FISH 507 Applied Tie Series Aalysis 23 Feruary 2017 Mea reverig processes I lecure, I ill alk aou esiaig ea-reversio i he coe of

More information

Multi-Attribute Group Decision Making based on Bidirectional Projection Measure

Multi-Attribute Group Decision Making based on Bidirectional Projection Measure IJSRD - Ieraioal Joural for Scieific Research & Develope Vol. 4, Issue 10, 2016 ISSN (olie): 2321-0613 Muli-Aribue Group Decisio Makig based o Bidirecioal Projecio Measure S. Sala 1 Dr. V. Diwakar Reddy

More information

New Class of Estimators of Population Mean. DECISION SCIENCES INSTITUTE New Class of Estimators of Population Mean Utilizing Median of Study Variable

New Class of Estimators of Population Mean. DECISION SCIENCES INSTITUTE New Class of Estimators of Population Mean Utilizing Median of Study Variable New lass of Esiaors of Poulaio Mea DEISION SIENES INSTITUTE New lass of Esiaors of Poulaio Mea Uilizig Media of Sudy Variable S.K. Yadav Dr. RML Avadh Uiversiy drskysas@gail.co Diesh K. Shara Uiversiy

More information

Chattering Free with Noise Reduction in Sliding-Mode Observers Using Frequency Domain Analysis

Chattering Free with Noise Reduction in Sliding-Mode Observers Using Frequency Domain Analysis Chaerig Free wih Noie Reducio i Slidig-Mode Oerver Uig Frequecy Doai Aalyi M. Hajaipour, M. Farrokhi * Depare of Elecrical Egieerig, Ira Uiveriy of Sciece ad echology, ehra 6846, IRAN hi paper pree aalyi

More information

State and Parameter Estimation of The Lorenz System In Existence of Colored Noise

State and Parameter Estimation of The Lorenz System In Existence of Colored Noise Sae ad Parameer Esimaio of he Lorez Sysem I Eisece of Colored Noise Mozhga Mombeii a Hamid Khaloozadeh b a Elecrical Corol ad Sysem Egieerig Researcher of Isiue for Research i Fudameal Scieces (IPM ehra

More information

A note on deviation inequalities on {0, 1} n. by Julio Bernués*

A note on deviation inequalities on {0, 1} n. by Julio Bernués* A oe o deviaio iequaliies o {0, 1}. by Julio Berués* Deparameo de Maemáicas. Faculad de Ciecias Uiversidad de Zaragoza 50009-Zaragoza (Spai) I. Iroducio. Le f: (Ω, Σ, ) IR be a radom variable. Roughly

More information

Arbitrage-Free Gaussian Affine Term Structure Model with Observable Factors

Arbitrage-Free Gaussian Affine Term Structure Model with Observable Factors Joural of Maheaical iace 5 5 4-5 Published Olie May 5 i SciRes. hp://www.scirp.org/joural/jf hp://dx.doi.org/.436/jf.5.53 Arbirage-ree Gaussia Affie Ter Srucure Model wih Observable acors Gag Wag School

More information

COS 522: Complexity Theory : Boaz Barak Handout 10: Parallel Repetition Lemma

COS 522: Complexity Theory : Boaz Barak Handout 10: Parallel Repetition Lemma COS 522: Complexiy Theory : Boaz Barak Hadou 0: Parallel Repeiio Lemma Readig: () A Parallel Repeiio Theorem / Ra Raz (available o his websie) (2) Parallel Repeiio: Simplificaios ad he No-Sigallig Case

More information

K3 p K2 p Kp 0 p 2 p 3 p

K3 p K2 p Kp 0 p 2 p 3 p Mah 80-00 Mo Ar 0 Chaer 9 Fourier Series ad alicaios o differeial equaios (ad arial differeial equaios) 9.-9. Fourier series defiiio ad covergece. The idea of Fourier series is relaed o he liear algebra

More information

The Eigen Function of Linear Systems

The Eigen Function of Linear Systems 1/25/211 The Eige Fucio of Liear Sysems.doc 1/7 The Eige Fucio of Liear Sysems Recall ha ha we ca express (expad) a ime-limied sigal wih a weighed summaio of basis fucios: v ( ) a ψ ( ) = where v ( ) =

More information

Extremal graph theory II: K t and K t,t

Extremal graph theory II: K t and K t,t Exremal graph heory II: K ad K, Lecure Graph Theory 06 EPFL Frak de Zeeuw I his lecure, we geeralize he wo mai heorems from he las lecure, from riagles K 3 o complee graphs K, ad from squares K, o complee

More information

PI3B

PI3B 234789023478902347890223478902347890234789022347890234789023478902234789023478902347890223478902 Feaures Near-Zero propagaio delay -ohm swiches coec ipus o oupus Fas Swichig Speed - 4s max Permis Ho Iserio

More information

After the completion of this section the student

After the completion of this section the student Real Fucios REAL FUNCTIONS Afer he copleio of his secio he sude - should recall he defiiio of he asic algeraic ad rascedeal fucios - should e ale o deerie he ai properies of he fucios ad graph he fucios.

More information

Hybrid System Modeling Using Impulsive Differential Equations

Hybrid System Modeling Using Impulsive Differential Equations Hybrid Syse Modelig Usig Ipulsive Differeial Equaios ENDRA JOELIANO Depare of Egieerig Physics Isiu eologi Badug Jl Gaesha 1, Badug 413 INDONESIA Absrac: Hybrid syses have eerged as a rapidly expadig field

More information