MINIMUM ENERGY CONTROL OF FRACTIONAL POSITIVE ELECTRICAL CIRCUITS. Tadeusz Kaczorek

Size: px
Start display at page:

Download "MINIMUM ENERGY CONTROL OF FRACTIONAL POSITIVE ELECTRICAL CIRCUITS. Tadeusz Kaczorek"

Transcription

1 MINIMUM ENEGY CONO OF FACIONA POSIIVE EECICA CICUIS ausz Kaczor alyso Uvrsy o chology Faculy o Elcrcal Egrg jsa 45D 5-5 alyso -al: aczor@sppwupl ASAC Mu rgy corol probl or h racoal posv lcrcal crcus s orula a solv Suc coos or h sc o soluo o h probl ar sablsh A procur or solvg o h probl s propos a llusra by a apl o racoal posv lcrcal crcu I rs racoal posv lcrcal crcus u rgy corol bou pus procur INODUCION A yacal sys s call posv s rajcory sarg ro ay ogav al sa ras orvr h posv orha or all ogav pus A ovrvw o sa o h ar posv hory s gv h oographs [ 7 Vary o ols havg posv bhavor ca b ou grg coocs socal sccs bology a c c Mahacal uaals o h racoal calculus ar gv h oographs [6-8 h posv racoal lar syss hav b vsga [6 9 Sably o racoal lar couous- syss has b vsga h paprs [ h oo o praccal sably o posv racoal lar syss has b rouc [ So rc rsg rsuls racoal syss hory a s applcaos ca b ou [ 9- h u rgy corol probl or saar lar syss has b orula a solv by J Klaa [- 4 a or D lar syss wh varabl cocs [ h corollably a u rgy corol probl o racoal scr- lar syss has b vsga by Klaa [5 h u rgy corol o racoal posv couous- lar syss has b arss [4 8 a or scrpor posv scr- lar syss [ I hs papr h u rgy corol probl or posv lcrcal crcus wll b orula a solv h papr s orgaz as ollows I sco h basc os a hors o h racoal posv lcrcal crcus ar rcall a h cssary a suc coos or h rachably o h lcrcal crcus ar gv h a rsul o h papr s gv sco whr u rgy corol probl s orula suc coos or s soluo ar sablsh a a procur s propos Illusrag apl o racoal posv lcrcal crcus s gv sco 4 Coclug rars ar gv sco 5 h ollowg oao wll b us: - h s o ral ubrs - h s o ral arcs - h s o arcs wh ogav rs a M - h s o arcs wh ogav o-agoal rs y ar PEIMINAIES Mzlr arcs ral I - h h ollowg Capuo o o h racoal rvav wll b us [ D < N {} whr s h orr o racoal rvav a s h gaa uco a Cosr a racoal lcrcal crcus copos o rssors cols capacors a volag curr sourcs hs wor was suppor ur wor S/E//

2 Usg h Krchho s laws w ay scrb h ras sas h lcrcal crcus by sa quaos [ D A u < whr u ar h sa a pu vcors a A hor [ h soluo o quao s gv by whr u A E A 4 A [ a E A s h Mag-lr ar uco [ Do [ h racoal sys s call h rally posv racoal sys a oly or or ay al coos a all pus u hor [ h couous- racoal sys s rally posv a oly h ar A s a Mzlr ar a A M 6 Do h sa 5 o h racoal sys s call rachabl hr s a pu u [ whch srs h sa o sys ro zro al sa o h sa A ral squar ar s call ooal ach row a ach colu coas oly o posv ry a h rag rs ar zro hor h posv racoal sys s rachabl [ a oly h ar A M s agoal a h ar s ooal Proo Succy I s wll-ow [7 ha s agoal h s ooal h I hs cas h ar s also ooal a A M s also agoal a s also ooal 7 h pu u 8 srs h sa o h sys ro o sc usg or a 5 w oba u h proo o cssy s gv [4 POEM FOMUAION AND IS SOUION Cosr h racoal posv lcrcal crcu wh A M a ooal I h sys s rachabl h usually hr s ay r pus [ u 9 ha sr h sa o h sys ro o Aog hs pus w ar loog or u pu ha zs h prorac [ I u u Qu whr Q s a syrc posv ar a Q h u rgy corol probl or h racoal posv lcrcal crcu ca b sa as ollows Gv h arcs A M h prorac ar pu u a Q o a > a or ha srs h sa vcor o [ h sys ro o a zs h prorac o solv h probl w h ar Q whr s by 5 Fro a hor ollows ha h ar s ooal a oly h racoal posv lcrcal crcu s rachabl [

3 I hs cas w ay h pu ˆ Q u or No ha h pu sass h coo [ hor 4 Q u a [ u or or b a pu ha [ srs h sa o h racoal posv lcrcal crcu ro o sa o h sys ro o h h pu also srs h a zs h prorac I uˆ I u h al valu o h prorac s qual o I uˆ 4 Proo I h coos ar h h pu s wll a ˆ or shall show u [ ha h pu srs h sa o h sys ro o yls Subsuo o o or a uˆ Q 5a sc hols y assupo h pus u a u ˆ srs h sa o h sys ro o [ a u uˆ 5b [ u uˆ 5c y rasposo o 5c a posulplcao by w oba [ u uˆ 6 Subsuo o o 6 yls [ u uˆ [ u uˆ Quˆ Usg 7 s asy o vry ha u Qu uˆ Quˆ [ u uˆ Q[ u uˆ 7 8 Fro 8 ollows ha I uˆ < I u sc h sco r h rgh-ha s o h qualy s ogav o h al valu o h prorac w subsu o a w oba I uˆ uˆ Qu uˆ Q 9 sc hols Fro h abov cosraos w hav h ollowg procur or copuao o h opal pus ha sr h sa o h sys ro o a z h prorac Procur Sp Kowg A M a usg 5 copu Sp Usg copu h ar or gv A Q a so Sp Usg copu h sr u ˆ or gv Sp 4 Usg 4 copu h aal valu o h prorac 4 EXAMPE Cosr h racoal lcrcal crcu show Fgur wh gv rssacs ucacs a sourc volags

4 Fg Elcrcal crcu Usg h Krchho s laws w ca wr h quaos a a whr < < whch ca b wr h or A a whr A b h racoal lcrcal crcu s posv sc h ar A s Mzlr ar a h ar has ogav rs No ha h saar par b s rachabl sc bu s o rachabl as a posv par shall show ha h racoal posv lcrcal crcu s rachabl I hs cas A a usg 5 w oba [ [ A h ar a h ar by b ar ooal a by hor h racoal posv lcrcal crcu s rachabl a ay valus o h u rgy corol probl o h racoal posv rachabl lcrcal crcu ca b sa as ollows: Copu h pu ˆ u ha srs h sa o h lcrc al crcu ro zro sa o [ os h raspos a zs h prorac wh Q 4 Usg h Procur w oba h ollowg: Sp h ar has h or Sp Usg b a 4 w g Q Q [ 5 Sp Usg 4 a 5 w oba [ [ ˆ Q u 6 Sp 4 Fro 4 a 5 w hav h al valu o h prorac u I ˆ 7 h cosraos ca b o syss cossg o subsyss wh r racoal orrs s gv [

5 6 CONCUDING EMAKS Ncssary a suc coos or h rachably o h racoal posv couous- lar syss hav b sablsh hor h u rgy corol probl or h racoal posv lcrcal crcus has b orula a solv Suc coos or h sc o a soluo o h probl has b gv hor 4 a a procur or copuao o opal pu a h al valu o prorac has b propos h cvss o h procur has b osra o h apl o racoal posv lcrcal crcu h prs ho ca b o posv scr- lar syss a o racoal posv scr- lar syss wh bou pus EFEENCES [ M usłowcz Sably o lar couous racoal orr syss wh lays o h rar yp ull Pol Aca Sc ch vol 56 o [ A Dzlńs D Srocu a G Sarwas Ulracapacor parars cao bas o racoal orr ol Proc ECC 9 uaps 9 [ Fara a S al Posv ar Syss; hory a Applcaos J ly Nw Yor [4 Kaczor Polyoal approach o racoal scrpor lcrcal crcus Sub o 4 [5 Kaczor Asypoc sably o posv racoal D lar syss ull Pol Aca Sc ch vol 57 o [6 Kaczor Fracoal posv couous- syss a hr achably I J Appl Mah Copu Sc vol 8 o 8-8 [7 Kaczor Posv D a D syss Sprgr Vrlag oo [8 Kaczor Corollably a obsrvably o lar lcrcal crcus Elcrcal vw vol 87 o 9a [9 Kaczor Posvy a rachably o racoal lcrcal crcus Aca Mchaca Auoaca vol 5 o 4-5 [ Kaczor Posv lar syss cossg o subsyss wh r racoal orrs IEEE ras Crcus a Syss vol 58 o 6 - [ Kaczor Praccal sably o posv racoal scr- lar syss ull Pol Aca Sc ch vol 56 o [ Kaczor achably a corollably o zro ss or saar a posv racoal scr- syss Joural Europé s Sysès Auoasés JESA vol 4 o [ Kaczor ar Corol Syss sarch Sus Prss a Jly Nw Yor 99 [4 Kaczor Mu rgy corol o racoal posv couous- lar syss Proc Co MMA [5 Kaczor Chcg o h posvy o scrpor lar syss by h us o h shulalgorh Archv o Corol Sccs vol o [6 Kaczor Mu rgy corol o scrpor posv scr- lar syss Copl vol o [7 Kaczor Mu rgy corol o racoal posv scr- lar syss wh bou pus I J Appl Mah Copu Sc 4 Prss [8 Kaczor Mu rgy corol o posv couous- lar syss wh bou pus I J Appl Mah Copu Sc 4 Prss [9 Kaczor A so o Klaa s ho o u rgy corol o racoal posv scr- lar syss wh bou pus ull Pol Aca Sc ch 4 Prss [ Kaczor Slc Probls o Fracoal Syss hory Sprgr-Vrlag rl [ Kaczor J Klaa Mu rgy corol o D lar syss wh varabl cocs I J o Corol vol 44 o [ J Klaa Corollably o Dyacal Syss Kluwr Acac Prss Dorrch 99 [ J Klaa Mu rgy corol o D syss Hlbr spacs Sys Sccs vol 9 o [4 J Klaa lav corollably a u rgy corol o lar syss wh srbu lays corol IEEE ras Auo Cor vol o [5 J Klaa Corollably a u rgy corol probl o racoal scr- syss Chapr Nw rs Naochology a Fracoal Calculus Es alau D Guvc Z rro Machao JA Sprgr- Vrlag Nw Yor 5-59 [6 K Olha a J Spar h Fracoal Calculus Acac Prss Nw Yor 974 [7 P Osalczy Epo o h racoal calculus: hory a s Applcaos Auoacs yawcwo Polch Łózj Łóź 8 Polsh [8 I Poluby Fracoal Dral Equaos Acac Prss Sa Dgo 999 [9 AG awa AM Sola AS Elwal a A S O h sably o lar syss wh racoal-orr ls Chaos Solos a Fracals vol 4 o [ EJ Solro Prs JA rro Machao P Moura Olvra Fracoal yacs gc algorhs orshop o Fracoal Drao a s Applcao vol [ M Vagr CA Moj AJ Calro Fracoal orr syss a racoal orr corol acos cur IEEE CDC #: Fracoal calculus Applcaos Auoac Corol a obocs

POSITIVITY AND REACHABILITY OF FRACTIONAL ELECTRICAL CIRCUITS

POSITIVITY AND REACHABILITY OF FRACTIONAL ELECTRICAL CIRCUITS asz Kaczo Posy a achably o Facoal Elccal cs POSIIVIY ND EHIIY OF FION EEI IUIS asz KZOEK* *Facly o Elccal Egg ałyso Usy o chology l Wsa D - ałyso aczo@sppwpl bsac: oos o h posy o acoal la lccal ccs copos

More information

Akpan s Algorithm to Determine State Transition Matrix and Solution to Differential Equations with Mixed Initial and Boundary Conditions

Akpan s Algorithm to Determine State Transition Matrix and Solution to Differential Equations with Mixed Initial and Boundary Conditions IOSR Joural o Elcrcal ad Elcrocs Egrg IOSR-JEEE -ISSN: 78-676,p-ISSN: 3-333, Volu, Issu 5 Vr. III Sp - Oc 6, PP 9-96 www.osrourals.org kpa s lgorh o Dr Sa Traso Marx ad Soluo o Dral Euaos wh Mxd Ial ad

More information

Chapter 5 Transient Analysis

Chapter 5 Transient Analysis hpr 5 rs Alyss Jsug Jg ompl rspos rs rspos y-s rspos m os rs orr co orr Dffrl Equo. rs Alyss h ffrc of lyss of crcus wh rgy sorg lms (ucors or cpcors) & m-ryg sgls wh rss crcus s h h quos rsulg from r

More information

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

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

More information

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp Jourl o Al-Qus Op Uvrsy or Rsrch Sus - No.4 - Ocobr 8 Rrcs: - I. M. ALGHROUZ: A Nw Approch To Frcol Drvvs, J. AOU, V., 7, pp. 4-47 - K.S. Mllr: Drvvs o or orr: Mh M., V 68, 995 pp. 83-9. 3- I. PODLUBNY:

More information

Series of New Information Divergences, Properties and Corresponding Series of Metric Spaces

Series of New Information Divergences, Properties and Corresponding Series of Metric Spaces Srs of Nw Iforao Dvrgcs, Proprs ad Corrspodg Srs of Mrc Spacs K.C.Ja, Praphull Chhabra Profssor, Dpar of Mahacs, Malavya Naoal Isu of Tchology, Japur (Rajasha), Ida Ph.d Scholar, Dpar of Mahacs, Malavya

More information

Fractal diffusion retrospective problems

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

More information

Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent

Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent oucms Couga Gas Mchal Kazha (6.657) Ifomao abou h Sma (6.757) hav b pos ol: hp://www.cs.hu.u/~msha Tch Spcs: o M o Tusay afoo. o Two paps scuss ach w. o Vos fo w s caa paps u by Thusay vg. Oul Rvw of Sps

More information

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = =

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = = L's rvs codol rol whr h v M s rssd rs o h rdo vrl. L { M } rrr v such h { M } Assu. { } { A M} { A { } } M < { } { } A u { } { } { A} { A} ( A) ( A) { A} A A { A } hs llows us o cosdr h cs wh M { } [ (

More information

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations Joural of aheacs ad copuer Scece (4 39-38 Soluo of Ipulsve Dffereal Equaos wh Boudary Codos Ters of Iegral Equaos Arcle hsory: Receved Ocober 3 Acceped February 4 Avalable ole July 4 ohse Rabba Depare

More information

CONSTACYCLIC CODES OF LENGTH OVER A FINITE FIELD

CONSTACYCLIC CODES OF LENGTH OVER A FINITE FIELD Jorl o Algbr Nbr Tory: Ac Alco Vol 5 Nbr 6 Pg 4-64 Albl ://ccc.co. DOI: ://.o.org/.864/_753 ONSTAYLI ODES OF LENGTH OVER A FINITE FIELD AITA SAHNI POONA TRAA SEHGAL r or Ac Sy c Pb Ury gr 64 I -l: 5@gl.co

More information

On the Existence and uniqueness for solution of system Fractional Differential Equations

On the Existence and uniqueness for solution of system Fractional Differential Equations OSR Jourl o Mhms OSR-JM SSN: 78-578. Volum 4 ssu 3 Nov. - D. PP -5 www.osrjourls.org O h Es d uquss or soluo o ssm rol Drl Equos Mh Ad Al-Wh Dprm o Appld S Uvrs o holog Bghdd- rq Asr: hs ppr w d horm o

More information

Periodic Solutions of Periodic Delay Lotka Volterra Equations and Systems

Periodic Solutions of Periodic Delay Lotka Volterra Equations and Systems Joural of ahacal Aalyss ad Applcaos 255, 2628 Ž 2 do:6aa27248, avalabl ol a hp:wwwdalbraryco o Prodc Soluos of Prodc Dlay LokaVolrra Equaos ad Syss Yogku L Dpar of ahacs, Yua Ursy, Kug, Yua 659, Popl s

More information

Positive unstable electrical circuits

Positive unstable electrical circuits Taz KZOEK alyto Uvrty of Tchology Faclty of Elctrcal Egrg Potv tabl lctrcal crct btract: Th tablty for th potv lar lctrcal crct compo of rtor col coator a voltag crrt orc ar ar Thr ffrt cla of th potv

More information

Analytic and Numeric Solution of Nonlinear Partial Differential Equations of Fractional Order

Analytic and Numeric Solution of Nonlinear Partial Differential Equations of Fractional Order Aalyc a rc Solo o olar Paral Dral qaos o racoal Orr A ADO KOJOK & S A AAD Absrac h sc a qss solo o h achy robl ar scss a ro a aach sac o lck ho a Pcar ho o h rors c a solo o ossss oror so rors cocr h sably

More information

Option Pricing in a Fractional Brownian Motion Environment

Option Pricing in a Fractional Brownian Motion Environment Opo Pcg a acoal owa Moo vom Cpa Ncula Acamy o coomc u ucha, omaa mal: cpc@yahoo.com h a: buay, Abac h pupo o h pap o oba a acoal lack-chol omula o h pc o a opo o vy [, ], a acoal lack-chol quao a a k-ual

More information

Reliability Mathematics Analysis on Traction Substation Operation

Reliability Mathematics Analysis on Traction Substation Operation WSES NSCIONS o HEICS Hoh S lal aha al o rao Sao Orao HONSHEN SU Shool o oao a Elral Er azho Jaoo Ur azho 77..CHIN h@6.o ra: - I lr ralwa rao owr l h oraoal qal a rlal o h a rao raorr loo hhr o o o oaral

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

CHARACTERIZATION FROM EXPONENTIATED GAMMA DISTRIBUTION BASED ON RECORD VALUES

CHARACTERIZATION FROM EXPONENTIATED GAMMA DISTRIBUTION BASED ON RECORD VALUES CHARACTERIZATION RO EPONENTIATED GAA DISTRIBUTION BASED ON RECORD VAUES A I Sh * R A Bo Gr Cog o Euo PO Bo 55 Jh 5 Su Ar Gr Cog o Euo Dr o h PO Bo 69 Jh 9 Su Ar ABSTRACT I h r u h or ror u ro o g ruo r

More information

American International Journal of Research in Science, Technology, Engineering & Mathematics

American International Journal of Research in Science, Technology, Engineering & Mathematics Ara raoal oral of ar S oloy r & aa Avalabl ol a //wwwar SSN Pr 38-349 SSN Ol 38-358 SSN D-O 38-369 AS a rfr r-rvw llary a o a joral bl by raoal Aoao of Sf ovao a ar AS SA A Aoao fy S r a Al ar oy rao ra

More information

EE 232 Lightwave Devices. Photodiodes

EE 232 Lightwave Devices. Photodiodes EE 3 Lgwav Dvcs Lcur 8: oocoucors a p-- ooos Rag: Cuag, Cap. 4 Isrucor: Mg C. Wu Uvrsy of Calfora, Brkly Elcrcal Egrg a Compur Sccs Dp. EE3 Lcur 8-8. Uvrsy of Calfora oocoucors ω + - x Ara w L Euval Crcu

More information

Chap 2: Reliability and Availability Models

Chap 2: Reliability and Availability Models Chap : lably ad valably Modls lably = prob{s s fully fucog [,]} Suppos from [,] m prod, w masur ou of N compos, of whch N : # of compos oprag corrcly a m N f : # of compos whch hav fald a m rlably of h

More information

Convergence tests for the cluster DFT calculations

Convergence tests for the cluster DFT calculations Covgc ss o h clus DF clculos. Covgc wh spc o bss s. s clculos o bss s covgc hv b po usg h PBE ucol o 7 os gg h-b. A s o h Guss bss ss wh csg s usss hs b us clug h -G -G** - ++G(p). A l sc o. Å h c bw h

More information

Continuous Time Markov Chains

Continuous Time Markov Chains Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,

More information

The Method of Steepest Descent for Feedforward Artificial Neural Networks

The Method of Steepest Descent for Feedforward Artificial Neural Networks IOSR Joural o Mahac (IOSR-JM) -ISSN: 78-578, p-issn:39-765x. Volu, Iu Vr. II. (F. 4), PP 53-6.oroural.org Th Mhod o Sp Dc or Fdorard Arcal Nural Nor Muhaad Ha, Md. Jah Udd ad Md Adul Al 3 Aoca Proor, Dpar

More information

Bayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP

Bayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP By Cly o c o Lo Rc Rg By M Coco L Cl & Pcoc LLP GIRO coc 4 Ac Th pp c how o v cly wgh w po- pc-v o c o lo c. Th po co o Poo-Po ol ch wh po G o. Kywo c o lo c g By cly Poo Po G po Acowlg cl I wol l o h

More information

Nuclear Chemistry -- ANSWERS

Nuclear Chemistry -- ANSWERS Hoor Chstry Mr. Motro 5-6 Probl St Nuclar Chstry -- ANSWERS Clarly wrt aswrs o sparat shts. Show all work ad uts.. Wrt all th uclar quatos or th radoactv dcay srs o Urau-38 all th way to Lad-6. Th dcay

More information

ON THE RELATION BETWEEN THE CAUSAL BESSEL DERIVATIVE AND THE MARCEL RIESZ ELLIPTIC AND HYPERBOLIC KERNELS

ON THE RELATION BETWEEN THE CAUSAL BESSEL DERIVATIVE AND THE MARCEL RIESZ ELLIPTIC AND HYPERBOLIC KERNELS ACENA Vo.. 03-08 005 03 ON THE RELATION BETWEEN THE CAUSAL BESSEL DERIVATIVE AND THE MARCEL RIESZ ELLIPTIC AND HYPERBOLIC KERNELS Rub A. CERUTTI RESUMEN: Cosrao os úcos Rsz coo casos artcuars úco causa

More information

Two-Dimensional Quantum Harmonic Oscillator

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

More information

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

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

More information

Wave Phenomena Physics 15c

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

More information

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao

More information

Correlation in tree The (ferromagnetic) Ising model

Correlation in tree The (ferromagnetic) Ising model 5/3/00 :\ jh\slf\nots.oc\7 Chaptr 7 Blf propagato corrlato tr Corrlato tr Th (frromagtc) Isg mol Th Isg mol s a graphcal mol or par ws raom Markov fl cosstg of a urct graph wth varabls assocat wth th vrtcs.

More information

Design of Fuzzy Sliding-Mode Controller for Chaos Synchronization

Design of Fuzzy Sliding-Mode Controller for Chaos Synchronization Dsg o Fuzzy Slg-Mo Corollr or Chaos Syhrozao Chao-L Kuo Chg-Sho Shh Cha-Hug L a Shu-Pg Shh 3 No. 49 Jug-Hua Roa Hs-Shh Towshp Taa Couy 744 Tawa R.O.C. Dparm o Elral Egrg Far-Eas Uvrsy lkuo@.u.u.w Lu-Chu

More information

k of the incident wave) will be greater t is too small to satisfy the required kinematics boundary condition, (19)

k of the incident wave) will be greater t is too small to satisfy the required kinematics boundary condition, (19) TOTAL INTRNAL RFLTION Kmacs pops Sc h vcos a coplaa, l s cosd h cd pla cocds wh h X pla; hc 0. y y y osd h cas whch h lgh s cd fom h mdum of hgh dx of faco >. Fo cd agls ga ha h ccal agl s 1 ( /, h hooal

More information

Priority Search Trees - Part I

Priority Search Trees - Part I .S. 252 Pro. Rorto Taassa oputatoal otry S., 1992 1993 Ltur 9 at: ar 8, 1993 Sr: a Q ol aro Prorty Sar Trs - Part 1 trouto t last ltur, w loo at trval trs. or trval pot losur prols, ty us lar spa a optal

More information

CHAPTER 7. X and 2 = X

CHAPTER 7. X and 2 = X CHATR 7 Sco 7-7-. d r usd smors o. Th vrcs r d ; comr h S vrc hs cs / / S S Θ Θ Sc oh smors r usd mo o h vrcs would coclud h s h r smor wh h smllr vrc. 7-. [ ] Θ 7 7 7 7 7 7 [ ] Θ ] [ 7 6 Boh d r usd sms

More information

Frequency Response. Response of an LTI System to Eigenfunction

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

More information

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

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

More information

Numerical approximatons for solving partial differentıal equations with variable coefficients

Numerical approximatons for solving partial differentıal equations with variable coefficients Appled ad Copuaoal Maheacs ; () : 9- Publshed ole Februar (hp://www.scecepublshggroup.co/j/ac) do:.648/j.ac.. Nuercal approaos for solvg paral dffereıal equaos wh varable coeffces Ves TURUT Depare of Maheacs

More information

Inference on Curved Poisson Distribution Using its Statistical Curvature

Inference on Curved Poisson Distribution Using its Statistical Curvature Rsarch Joural of Mahacal ad Sascal Sccs ISSN 3 647 ol. 5 6-6 Ju 3 Rs. J. Mahacal ad Sascal Sc. Ifrc o Curvd Posso Dsrbuo Usg s Sascal Curvaur Absrac Sal Babulal ad Sadhu Sachaya Dpar of sascs Th Uvrsy

More information

The Mathematics of Harmonic Oscillators

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

More information

Gauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year

Gauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year Gau Thors Elmary Parcl Physcs Sro Iraco Fomoloy o Bo cadmc yar - Gau Ivarac Gau Ivarac Whr do Laraas or Hamloas com from? How do w kow ha a cra raco should dscrb a acual hyscal sysm? Why s h lcromac raco

More information

(1) Cov(, ) E[( E( ))( E( ))]

(1) Cov(, ) E[( E( ))( E( ))] Impac of Auocorrelao o OLS Esmaes ECON 3033/Evas Cosder a smple bvarae me-seres model of he form: y 0 x The four key assumpos abou ε hs model are ) E(ε ) = E[ε x ]=0 ) Var(ε ) =Var(ε x ) = ) Cov(ε, ε )

More information

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction F Dtto Roto Lr Alr F Roto C Y I Ursty O solto: tto o l trs s s ys os ot. Dlt to t to ltpl ws. F Roto Aotr ppro: ort y rry s tor o so E.. 56 56 > pot 6556- stol sp A st o s t ps to ollto o pots ts sp. F

More information

On the Solution of Nonlinear Partial Differential Equation of Fractional Order

On the Solution of Nonlinear Partial Differential Equation of Fractional Order aacal a oaoal os Scc a r O Solo o olar Paral Dral qao o racoal Orr AAbo l-kook & S A aa 3 aacs Dar acly o cao Alara rsy GYPablla_777@yaooco aacs Dar oll o Sccs a Ars ass rsy SADI AAIA aa_ko@oalco 3 aacs

More information

NUCON NRNON CONRNC ON CURRN RN N CHNOOGY, 011 oo uul o w ul x ol volv y y oll. y ov,., - o lo ll vy ul o Mo l u v ul (G) v Gl vlu oll. u 3- [11]. 000

NUCON NRNON CONRNC ON CURRN RN N CHNOOGY, 011 oo uul o w ul x ol volv y y oll. y ov,., - o lo ll vy ul o Mo l u v ul (G) v Gl vlu oll. u 3- [11]. 000 NU O HMB NRM UNVRY, HNOOGY, C 8 0 81, 8 3-1 01 CMBR, 0 1 1 l oll oll ov ll lvly lu ul uu oll ul. w o lo u uol u z. ul l u oll ul. quk, oll, vl l, lk lo, - ul o u v (G) v Gl o oll. ul l u vlu oll ul uj

More information

Inner Product Spaces INNER PRODUCTS

Inner Product Spaces INNER PRODUCTS MA4Hcdoc Ir Product Spcs INNER PRODCS Dto A r product o vctor spc V s ucto tht ssgs ubr spc V such wy tht th ollowg xos holds: P : w s rl ubr P : P : P 4 : P 5 : v, w = w, v v + w, u = u + w, u rv, w =

More information

Power Spectrum Estimation of Stochastic Stationary Signals

Power Spectrum Estimation of Stochastic Stationary Signals ag of 6 or Spctru stato of Stochastc Statoary Sgas Lt s cosr a obsrvato of a stochastc procss (). Ay obsrvato s a ft rcor of th ra procss. Thrfor, ca say:

More information

A Second Kind Chebyshev Polynomial Approach for the Wave Equation Subject to an Integral Conservation Condition

A Second Kind Chebyshev Polynomial Approach for the Wave Equation Subject to an Integral Conservation Condition SSN 76-7659 Eglad K Joural of forao ad Copug Scece Vol 7 No 3 pp 63-7 A Secod Kd Chebyshev olyoal Approach for he Wave Equao Subec o a egral Coservao Codo Soayeh Nea ad Yadollah rdokha Depare of aheacs

More information

11/8/2002 CS 258 HW 2

11/8/2002 CS 258 HW 2 /8/ CS 58 HW. G o a a qc of aa h < fo a I o goa o co a C cc c F ch ha F fo a I A If cc - c a co h aoa coo o ho o choo h o qc? I o g o -coa o o-coa? W ca choo h o qc o h a a h aa a. Tha f o o a h o h a:.

More information

EE243 Advanced Electromagnetic Theory Lec # 10: Poynting s Theorem, Time- Harmonic EM Fields

EE243 Advanced Electromagnetic Theory Lec # 10: Poynting s Theorem, Time- Harmonic EM Fields Appl M Fall 6 Nuruhr Lcur # r 9/6/6 4 Avanc lcromagnc Thory Lc # : Poynng s Thorm Tm- armonc M Fls Poynng s Thorm Consrvaon o nrgy an momnum Poynng s Thorm or Lnar sprsv Ma Poynng s Thorm or Tm-armonc

More information

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder Nolr Rgrsso Mjor: All Egrg Mjors Auhors: Aur Kw, Luk Sydr hp://urclhodsgusfdu Trsforg Nurcl Mhods Educo for STEM Udrgrdus 3/9/5 hp://urclhodsgusfdu Nolr Rgrsso hp://urclhodsgusfdu Nolr Rgrsso So populr

More information

Quantum Harmonic Oscillator

Quantum Harmonic Oscillator Quu roc Oscllor Quu roc Oscllor 6 Quu Mccs Prof. Y. F. C Quu roc Oscllor Quu roc Oscllor D S..O.:lr rsorg forc F k, k s forc cos & prbolc pol. V k A prcl oscllg roc pol roc pol s u po of sbly sys 6 Quu

More information

Consider a system of 2 simultaneous first order linear equations

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

More information

Multi-fluid magnetohydrodynamics in the solar atmosphere

Multi-fluid magnetohydrodynamics in the solar atmosphere Mul-flud magohydrodyams h solar amoshr Tmuraz Zaqarashvl თეიმურაზ ზაქარაშვილი Sa Rsarh Isu of Ausra Aadmy of Ss Graz Ausra ISSI-orksho Parally ozd lasmas asrohyss 6 Jauary- Fbruary 04 ISSI-orksho Parally

More information

Almost unbiased exponential estimator for the finite population mean

Almost unbiased exponential estimator for the finite population mean Almos ubasd poal smaor for f populao ma Rajs Sg, Pakaj aua, ad rmala Saa, Scool of Sascs, DAVV, Idor (M.P., Ida (rsgsa@aoo.com Flor Smaradac ar of Dparm of Mamacs, Uvrs of Mco, Gallup, USA (smarad@um.du

More information

Delay-Dependent Robust Asymptotically Stable for Linear Time Variant Systems

Delay-Dependent Robust Asymptotically Stable for Linear Time Variant Systems Delay-Depede Robus Asypocally Sable for Lear e Vara Syses D. Behard, Y. Ordoha, S. Sedagha ABSRAC I hs paper, he proble of delay depede robus asypocally sable for ucera lear e-vara syse wh ulple delays

More information

FOR MORE PAPERS LOGON TO

FOR MORE PAPERS LOGON TO IT430 - E-Commerce Quesion No: 1 ( Marks: 1 )- Please choose one MAC sand for M d a A ss Conro a M d a A ss Consor M r of As an Co n on of s Quesion No: 2 ( Marks: 1 )- Please choose one C oos orr HTML

More information

A Class of Harmonic Meromorphic Functions of Complex Order

A Class of Harmonic Meromorphic Functions of Complex Order Borg Irol Jourl o D Mg Vol 2 No 2 Ju 22 22 A Clss o rmoc Mromorpc Fucos o Complx Ordr R Elrs KG Surm d TV Sudrs Asrc--- T sml work o Clu d Sl-Smll [3] o rmoc mppgs gv rs o suds o suclsss o complx-vlud

More information

The far field calculation: Approximate and exact solutions. Persa Kyritsi November 10th, 2005 B2-109

The far field calculation: Approximate and exact solutions. Persa Kyritsi November 10th, 2005 B2-109 Th fa fl calculao: Appoa a ac oluo Pa K Novb 0h 005 B-09 Oul Novb 0h 005 Pa K Iouco Appoa oluo flco fo h gou ac oluo Cocluo Pla wav fo Ic fl: pla wav k ( ) jk H ( ) λ λ ( ) Polaao fo η 0 0 Hooal polaao

More information

Control Systems (Lecture note #6)

Control Systems (Lecture note #6) 6.5 Corol Sysms (Lcur o #6 Las Tm: Lar algbra rw Lar algbrac quaos soluos Paramrzao of all soluos Smlary rasformao: compao form Egalus ad gcors dagoal form bg pcur: o brach of h cours Vcor spacs marcs

More information

REACHABILITY OF FRACTIONAL CONTINUOUS-TIME LINEAR SYSTEMS USING THE CAPUTO-FABRIZIO DERIVATIVE

REACHABILITY OF FRACTIONAL CONTINUOUS-TIME LINEAR SYSTEMS USING THE CAPUTO-FABRIZIO DERIVATIVE ECHLY OF FCONL CONNUOUS-ME LNE SYSEMS USNG HE CPUO-FZO DEVVE usz Kczor iłyso Uivrsiy o chology Fculy o Elcricl Egirig Wijs 45D, 5-5 iłyso E-il: czor@isppwupl KEYWODS Frciol, coiuous-i, lir, sys, Cpuo-

More information

Asymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse

Asymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse P a g e Vol Issue7Ver,oveber Global Joural of Scece Froer Research Asypoc Behavor of Soluos of olear Delay Dffereal Equaos Wh Ipulse Zhag xog GJSFR Classfcao - F FOR 3 Absrac Ths paper sudes he asypoc

More information

Least squares and motion. Nuno Vasconcelos ECE Department, UCSD

Least squares and motion. Nuno Vasconcelos ECE Department, UCSD Las squars ad moo uo Vascoclos ECE Dparm UCSD Pla for oda oda w wll dscuss moo smao hs s rsg wo was moo s vr usful as a cu for rcogo sgmao comprsso c. s a gra ampl of las squars problm w wll also wrap

More information

J = 1 J = 1 0 J J =1 J = Bout. Bin (1) Ey = 4E0 cos(kz (2) (2) (3) (4) (5) (3) cos(kz (1) ωt +pπ/2) (2) (6) (4) (3) iωt (3) (5) ωt = π E(1) E = [E e

J = 1 J = 1 0 J J =1 J = Bout. Bin (1) Ey = 4E0 cos(kz (2) (2) (3) (4) (5) (3) cos(kz (1) ωt +pπ/2) (2) (6) (4) (3) iωt (3) (5) ωt = π E(1) E = [E e ) ) Cov&o for rg h of olr&o for gog o&v r&o: - Look wv rog&g owr ou (look r&o). - F r wh o&o of fil vor. - I h CCWLHCP CWRHCP - u &l & hv oo g, h lr- fil vor r ou rgh- h orkrw for RHCP! 3) For h followg

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Linear Perturbation Bounds of the Continuous-Time LMI-Based H Quadratic Stability Problem for Descriptor Systems

Linear Perturbation Bounds of the Continuous-Time LMI-Based H Quadratic Stability Problem for Descriptor Systems UGRN DE OF ENE ERNE ND NFORON EHNOOGE Volu No 4 ofa a ubao ouds of h ouous- -asd H uadac ably obl fo Dscpo yss dy ochv chcal Uvsy of ofa Faculy of uoacs Dpa of yss ad ool 756 ofa Eal ayochv@u-sofa.bg bsac

More information

Improved Bounds on the List Decreasing Heuristic for the Vertex Cover Problem

Improved Bounds on the List Decreasing Heuristic for the Vertex Cover Problem 0 Naoal our Sou Irov Bou o h L crag Hurc for h Vrx ovr Probl Ta-Pao huag of SIE Naoal Tawa Noral Uvr a hg Yu Uvr Eal: chuag@cuuw Shu-Sh L of SIE Naoal Tawa Noral Uvr Eal: l@cuuw Abrac Th l crag hurc for

More information

3.4 Properties of the Stress Tensor

3.4 Properties of the Stress Tensor cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato

More information

An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair

An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair Mor ppl Novmbr 8 N-Compo r Rparabl m h Rparma Dog Ohr ork a ror Rpar Jag Yag E-mal: jag_ag7@6om Xau Mg a uo hg ollag arb Normal Uvr Yaq ua Taoao ag uppor b h Fouao or h aural o b prov o Cha 5 uppor b h

More information

The Variance-Covariance Matrix

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

More information

x, x, e are not periodic. Properties of periodic function: 1. For any integer n,

x, x, e are not periodic. Properties of periodic function: 1. For any integer n, Chpr Fourir Sri, Igrl, d Tror. Fourir Sri A uio i lld priodi i hr i o poiiv ur p uh h p, p i lld priod o R i,, r priodi uio.,, r o priodi. Propri o priodi uio:. For y igr, p. I d g hv priod p, h h g lo

More information

CS 491 G Combinatorial Optimization

CS 491 G Combinatorial Optimization CS 49 G Cobinatorial Optiization Lctur Nots Junhui Jia. Maiu Flow Probls Now lt us iscuss or tails on aiu low probls. Thor. A asibl low is aiu i an only i thr is no -augnting path. Proo: Lt P = A asibl

More information

Solution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs

Solution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs Aalable a hp://paed/aa Appl Appl Mah ISS: 9-9466 Vol 0 Isse (Deceber 0) pp 04- Applcaos ad Appled Maheacs: A Ieraoal Joral (AAM) Solo o Soe Ope Probles o E-sper Verex Magc Toal Labelg o Graphs G Marh MS

More information

Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall. Chapr Rviw 0 6. ( a a ln a. This will qual a if an onl if ln a, or a. + k an (ln + c. Thrfor, a an valu of, whr h wo curvs inrsc, h wo angn lins will b prpnicular. 6. (a Sinc h lin passs hrough h origin

More information

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables Improvd Epoal Emaor for Populao Varac Ug Two Aular Varabl Rajh gh Dparm of ac,baara Hdu Uvr(U.P., Ida (rgha@ahoo.com Pakaj Chauha ad rmala awa chool of ac, DAVV, Idor (M.P., Ida Flor maradach Dparm of

More information

Visual State Estimation Using Self-Tuning Kalman Filter and Echo State Network

Visual State Estimation Using Self-Tuning Kalman Filter and Echo State Network 2008 IEEE Iraoal Corc o Robocs a Auoao Pasaa, CA, USA, Ma 19-23, 2008 Vsual Sa Esao Usg Sl-ug Kala Flr a Echo Sa Nwork Ch-Y sa, avr Duo, Ka-a Sog, Hrk Va Brussl a Mar Nu Absrac hs papr prss a ovl sg o

More information

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

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

More information

Algorithms to Solve Singularly Perturbed Volterra Integral Equations

Algorithms to Solve Singularly Perturbed Volterra Integral Equations Avalabl a hp://pvamudu/aam Appl Appl Mah ISSN: 9-9 Vol Issu Ju pp 9-8 Prvousl Vol Issu pp Applcaos ad Appld Mahmacs: A Iraoal Joural AAM Algorhms o Solv Sgularl Prurbd Volrra Igral Equaos Marwa Tasr Alqura

More information

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee.

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee. B Pror NTERV FL/VAL ~RA1::1 1 21,, 1989 i n or Socil,, fir ll, Pror Fr rcru Sy Ar you lir SDC? Y, om um SM: corr n 'd m vry ummr yr. Now, y n y, f pr my ry for ummr my 1 yr Un So vr ummr cour d rr o l

More information

State Observer Design

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

More information

Pressure Distribution of Horizontal Wells in a Layered Reservoir with Simultaneous Gas Cap and Bottom Water Drives

Pressure Distribution of Horizontal Wells in a Layered Reservoir with Simultaneous Gas Cap and Bottom Water Drives Rsarh apr ra Joural of Egrg Rsarh (JER) 0 ra Joural of Egrg Rsarh (JER) -ISS : 30-087 p-iss : 30-0936 Volu-03, Issu-, pp--53 www.ajr.org Op ss rssur srbuo of Horoal Wlls a ayr Rsrvor wh Sulaous Gas Cap

More information

Interaction Between an Embedded Crack and an Interface Crack in Nonhomogeneous Coating System

Interaction Between an Embedded Crack and an Interface Crack in Nonhomogeneous Coating System Mrls Scc Form Vols. 9-9 (5) pp 97- Ol vll sc 5/g/5 www.scc. (5) Trs Tch Plcos Swzrl o:.8/www.scc./msf.9-9.97 Irco Bw Em Crck Irc Crck Nohomogos Cog Ssm E.E. Thookoglo G.H. Plo Fcl o ppl Sccs Dp. o Mchcs-L.

More information

NEW FLOODWAY (CLOMR) TE TE PIN: GREENS OF ROCK HILL, LLC DB: 12209, PG: ' S67 46'18"E APPROX. FLOODWAY NEW BASE FLOOD (CLOMR)

NEW FLOODWAY (CLOMR) TE TE PIN: GREENS OF ROCK HILL, LLC DB: 12209, PG: ' S67 46'18E APPROX. FLOODWAY NEW BASE FLOOD (CLOMR) W LOOWY (LOMR) RVRWLK PKWY ROK HLL, S PPROX. LOOWY W BS LOO (LOMR) lient nformation 4 SS- RM:4 V : PV Pipe V OU: PV Pipe JB SS- RM: V OU: PV Pipe RU R " PV Pipe @. LO SPS OL SSBL GRL ORMO: S OS: M BS LOO

More information

Symbolic Dynamics for Real Rational Maps

Symbolic Dynamics for Real Rational Maps Symolc Dymcs or Rl Rol Mps João Crl Dprm o Mhmcs o h Azors Uvrsy Po Dlg Porugl ABSTRACT Ths or s mp o suy h ymcs o rl rol mps usg symolc ymcs I s gv mpl h llusrs ho h opologcl ropy c clcul usg g hory Mrov

More information

, R we have. x x. ) 1 x. R and is a positive bounded. det. International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:06 11

, R we have. x x. ) 1 x. R and is a positive bounded. det. International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:06 11 raioal Joral of asic & ppli Scics JS-JENS Vol: No:6 So Dirichl ors a Pso Diffrial Opraors wih Coiioall Epoial Cov cio aa. M. Kail Dpar of Mahaics; acl of Scic; Ki laziz Uivrsi Jah Sai raia Eail: fkail@ka..sa

More information

Advanced Queueing Theory. M/G/1 Queueing Systems

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

More information

Lecture 12: Introduction to nonlinear optics II.

Lecture 12: Introduction to nonlinear optics II. Lcur : Iroduco o olar opcs II r Kužl ropagao of srog opc sgals propr olar ffcs Scod ordr ffcs! Thr-wav mxg has machg codo! Scod harmoc grao! Sum frqucy grao! aramrc grao Thrd ordr ffcs! Four-wav mxg! Opcal

More information

V A. V-A ansatz for fundamental fermions

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

More information

Planar convex hulls (I)

Planar convex hulls (I) Covx Hu Covxty Gv st P o ots 2D, tr ovx u s t sst ovx oyo tt ots ots o P A oyo P s ovx or y, P, t st s try P. Pr ovx us (I) Coutto Gotry [s 3250] Lur To Bowo Co ovx o-ovx 1 2 3 Covx Hu Covx Hu Covx Hu

More information

DESIGN OF OBSERVER-BASED CONTROLLER FOR LINEAR NEUTRAL SYSTEMS. M. N. Alpaslan Parlakçı

DESIGN OF OBSERVER-BASED CONTROLLER FOR LINEAR NEUTRAL SYSTEMS. M. N. Alpaslan Parlakçı EIGN OF OBEE-BE ONOLLE FO LINE NEUL YEM M. N. lpala arlakçı parm of ompur cc abul Blg Uvry olapr 3444 abul urky -mal: aparlakc@blg.u.r brac: I papr problm of obrvr-ba a-fback corollr g for lar ural ym

More information

SAN JOSE CITY COLLEGE PHYSICAL EDUCATION BUILDING AND RENOVATED LAB BUILDING SYMBOL LIST & GENERAL NOTES - MECHANICAL

SAN JOSE CITY COLLEGE PHYSICAL EDUCATION BUILDING AND RENOVATED LAB BUILDING SYMBOL LIST & GENERAL NOTES - MECHANICAL S SRUUR OR OORO SU sketch SYO SRPO OO OU O SUPPOR YP SUPPOR O UR SOS OVR SOS (xwx) X W (S) RR RWS U- R R OR ROO OR P S SPR SO S OS OW "Wx00"x0" 000.0, 8/7.0 Z U- R R UPPR ROO S S S SPR SO S OS OW 0"Wx0"x90"

More information

Existence of Nonoscillatory Solutions for a Class of N-order Neutral Differential Systems

Existence of Nonoscillatory Solutions for a Class of N-order Neutral Differential Systems Vo 3 No Mod Appd Scc Exsc of Nooscaoy Souos fo a Cass of N-od Nua Dffa Sysms Zhb Ch & Apg Zhag Dpam of Ifomao Egg Hua Uvsy of Tchoogy Hua 4 Cha E-ma: chzhbb@63com Th sach s facd by Hua Povc aua sccs fud

More information

Visual State Estimation Using Self-Tuning Kalman Filter and Echo State Network

Visual State Estimation Using Self-Tuning Kalman Filter and Echo State Network Vsal Sa Esao Usg Sl-g Kala Flr a Echo Sa Nwor Ch-Y sa, ar Do, Ka-a Sog, Hr Va rssl a Mar N Absrac hs papr prss a ol sg o sal sa sao or a ag-bas racg corol ss o sa ss sa rg h sal racg procss. h aaag o hs

More information

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

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

More information

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals MECE 330 MECE 330 Masurms & Isrumao Sac ad Damc Characrscs of Sgals Dr. Isaac Chouapall Dparm of Mchacal Egrg Uvrs of Txas Pa Amrca MECE 330 Sgal Cocps A sgal s h phscal formao abou a masurd varabl bg

More information

Beechwood Music Department Staff

Beechwood Music Department Staff Beechwood Music Department Staff MRS SARAH KERSHAW - HEAD OF MUSIC S a ra h K e rs h a w t r a i n e d a t t h e R oy a l We ls h C o l le g e of M u s i c a n d D ra m a w h e re s h e ob t a i n e d

More information

Infinite Continued Fraction (CF) representations. of the exponential integral function, Bessel functions and Lommel polynomials

Infinite Continued Fraction (CF) representations. of the exponential integral function, Bessel functions and Lommel polynomials Ifii Coiu Fraio CF rraio of h oial igral fuio l fuio a Lol olyoial Coiu Fraio CF rraio a orhogoal olyoial I hi io w rall h rlaio bw ifi rurry rlaio of olyoial orroig orhogoaliy a aroria ifii oiu fraio

More information

Chapter 8. Second-Harmonic Generation and Parametric Oscillation

Chapter 8. Second-Harmonic Generation and Parametric Oscillation Chapr 8 Sco-Haroc Grao a ararc Oscao 8 Irouco Sco-Haroc grao : ararc Oscao : Rfrc : RW Boy Noar Opcs Chapr Th oar Opca Suscpby Noar Opcs ab Hayag Uv Th Noar Opca Suscpby Gra for of uc poarao : whr : ar

More information