The Cost Function Minimization for Predictive Control by Newton-Raphson Method
|
|
- Shannon Hart
- 6 years ago
- Views:
Transcription
1 Proceed of e Ieraoal lcoferece of Eeer ad Coper Sce 8 Vol II IECS 8, 9- arc, 8, Ho Ko e Co Fco zao for Predcve Corol by ewo-rapo eod B. Drş, H. eraş,. Yşa, F. eraş, R. Kaza Abrac-e ewo-rapo eod oe of e o wdely ed eod for zao. I ca be ealy eeralzed for olv o-lear dffereal eqao ye. I dy, Geeralzed Predcve Coroller GPC wa appled o a 6R robo aplaor baed o o corol. ewo-rapo -R eod wa ed o ze e co fco ex e GPC a repree error bewee referece raecory ad acal raecory e corol of robo. e ewo-rapo eod reqre le erao ber for coverece ad redce e calclao. dy pree a dealed dervao of e Geeralzed Predcve Corol alor w ewo-rapo zao eod. e rel of alar pa ad poo error belo o o were exaed ad copared w Recrve ea Sqare RS pleeed Geeralzed Predcve Corol. e lao rel owed a ewo-rapo eod proved corol perforace of e GPC. Keyword- Predcve corol, eeralzed predcve corol, co fco zao. I. IRODCIO Predcve corol alor wa developed fro e oparaeer odel predcve corol alor cld e odel Alor Corol AC, e Dyac arx Corol DC ad o o, o e odel Predcve Corol PC alor o exaple of wc e Geeralzed Predcve Corol GPC alor [-4]. Becae e GPC alor paraeer odel orer a e o-paraeer odel, redced e GPC alor calclao e, ad eaced perforace of e corol ye. e GPC ed e corol of o- pae pla, ope-loop able pla ad pla w varable or ow dead e. I alo rob w repec o odel error, over ad der paraeerzao, ad eor oe [5-6]. e copaoal perforace of a GPC pleeao acrp receved oveber, 7. wor wa ppored by cefc reearc fd very of Saarya, ra o B.Drş w Saarya very, Depare of Elecrc - Elecroc Eeer, 5487 Adapazar, RKEY correpod aor poe: ; fax: ; e-al: bdr@ aarya.ed.r. H. eraş Dlpıar very, Depare of Elecrc - Elecroc Eeer, 447 Kaya, RKEY e-al: era@dlpar.ed.r.. Yşa Saarya very, Depare of Coper Eeer, 5487 Adapazar, RKEY e-al: ya@aarya.ed.r. F. eraş Saarya very, Depare of Coper Eeer, 5487 Adapazar, RKEY e-al: era@aarya.ed.r. R. Kaza Saarya very, Depare of ecacal Eeer, 5487 Adapazar, RKEY e-al: aza@aarya.ed.r. larely baed o e zao alor coe for CF bloc. ere are everal zao alor a ave bee pleeed GPC c a o-rade [7], Splex, ad Scceve Qadrac Prora [8,9]. e eleco of a zao eod ca be baed o everal crera c a; ber of erao o a olo, copaoal co ad accracy of e olo. I eeral ee approace are erao eve a reale corol dffcl. Very few paper addre real-e pleeao or e ey ed pla w lare e coa [8,9]. o prove e ably, a faer opzao alor eeded. e ewo-rapo eod oe of e o wdely ed eod for zao. I a qadrac alor cover beer a oer. I reqre le erao ber for coverece ad redce e calclao. I dy, Geeralzed Predcve Corol GPC wa appled o 6R robo aplaor for o corol. ewo- Rapo -R eod wa ed o ze e co fco ex GPC a repree error bewee referece raecory ad acal raecory e corol of robo. e rel of alar pa ad alar velocy belo o o were exaed ad copared w rel obaed fro e Recrve ea Sqare pleeed Geeralzed Predcve Corol. Alo, proce e of bo alor were ow. II. GEERAIZED PREDICIVE CORO e Geeralzed Predcve Corol GPC rodced by Clare a eeralzao of e odel-baed corol ad able for coroll of e procee w varable dead e ad a pla wc laeoly o-pae ad ope loop able. ay reearc owed e effecvee of corol alor []. e GPC ye for e roboc aplaor ve Fre. I co of ree copoe, e roboc aplaor or laor, coroller ad paraeer eaor. Were, orqe,, e corol p o e aplaor ye, e raecory, y, e op, ad y r e referece op. F. Bloc dara of e GPC ye for roboc aplaor e ear of a odel-baed predcve coroller e pla odel. e Corolled Aorereve Ieraed ISB: IECS 8
2 Proceed of e Ieraoal lcoferece of Eeer ad Coper Sce 8 Vol II IECS 8, 9- arc, 8, Ho Ko ov Averae CARIA odel cooly ed e GPC, a applcable o ay le-p leop pla: A q y B q ξ / Were,, y are e pla p ad op. A ad B are polyoal e bacward f operaor q - : a A q Ι a q a q - a a q a, B b q b q b b q - b b b q Were, ξ, a correlaed rado eqece, ad e e of e operaor q ere a eral corol law. Eqvalely o e procedre of Clare [] a opal - ep forward predcor ve by []: y F q y E q G q free repoe forced repoe e fr er of eqao called free repoe, a repree e pla predced op y, we ere o fre corol aco. e ecod er called forced repoe, a repree e op predco de o e ypoecal fre corol aco -,. o elec a ood corol eqece, we wold w a al rac error e y - y r over a cera op orzo. Frerore, o preve ay exploo of e corol aco, a ecod er eerally added, o a e fal perforace dex a a for lar o e follow:,, yˆ yr λ 4 bec o: for Were, ad are e ad e ax co orzo, e corol orzo ad λ a we facor for e corol cree eqece o be calclaed. Frerore, e cora a e corol cree are forced o zero provde a beer coverece of e op o e e po. If we defe e wo follow vecor fored w polyoal olo of eqao : [ f... f ] f, e vecor of e free repoe Addoally, f we deoe: y y... y 5 [ ] [,... ] ~ 6 Ad e arx fored w e coeffce of e G polyoal, wc fac correpod o e ep repoe vale : G e op predco a e follow for: y G ~ f 8 ow, eqao 4 ca be rewre a arx for: [ G ~ f y ] [ G ~ r f y r ] λ ~ ~ 9 Ad e opal corol law coe fro ~. ~ G G Λ G y f r I dy, frly, we ed Recrve ea Sqare RS for zao of co fco e GPC. I eod A q ad B q paraeer wc are copo G ad f are recalclaed eac of corol ep. We defe follow fored w e CARIA odel olo of eqao for ed Recrve ea Sqare []. y ay a y a b b b ξ / a b eqao plfed; ˆ y Θ Φ e If a b ; ˆ Θ, Φ ad e are polyoal arx. We deoe follow: Θ ˆ a,, a a, b,, b b Φ y,, y a,,, b 4 e ξ / 5 ˆ Θ paraeer wc ex A q ad B q paraeer pdaed for eac of a corol ep a follow: 7. e eqao of a: P Φ K 6 µ Φ P Φ e a calclaed ed K. µ e are facor µ. 95. P paraeer arx. P Ι / δ for fr ep corol. Ι arx, δ a coa wc vale -6. e calclao of P for oer ep corol e follow eqao. P P Ι K Φ 7 µ ISB: IECS 8
3 . e eqao of error: y e Φ Θ 8 Error calclaed by ed eqao.. ˆ Θ calclaed e follow eqao: K e ˆ ˆ Θ Θ 9 q A ad q B paraeer are recalclaed fro ˆ Θ e eqao 9. Coeqely, e paraeer of GPC are pdaed by proce. III. COS FCIO IIIZAIO by EWO- RAPHSO EHOD e obecve of e CF alor o ze eqao 4 w repec o [,,, ], deoed. accopled by e e eqao 4 o zero ad olv for. W ewo-rapo ed a e CF alor, zed eravely o deere e be. A erave proce yeld eredae vale for deoed. For eac erao of a eredae corol p vecor alo eeraed ad deoed a erao #,,, e ewo-rapo pdae rle for : were e acoba deoed a: e Hea a O Solv eqao drecly reqre e vere of e Hea arx. ee procee cold be copaoally expeve. Oe ecqe o avod e e of a arx vere o e decopoo [] o olve for e corol p vecor. accopled by rewr Eqao e for of a ye of lear eqao, Axb. rel A b, ad x I for Eqao ca be olved w wo roe ppled [] e ower/pper ralar decopoo roe ldcp, ad e ye of lear eqao olver lbb. Afer x calclaed, olved by evala x. procedre repeaed l e perce cae eac elee of le a oe -7. We olv for x, calclao of eac elee of e acoba ad Hea eeded o eac of ewo- Rapo erao. e elee of e acoba r y y y λ ax,,. e, elee of e Hea : r y y y y y λ ax,. ad,. e alway evalae o zero. e la copoe eeded o evalae e calclao of e op of e pla, y, ad dervae. IV. DYAIC ODE OF ROBO AIPAOR A pror forao eeded for aplaor corol aaly ad aplaor de a e of cloed for dffereal eqao decrb e dyac beavor of e aplaor. Varo approace are avalable o forlae e robo ar dyac, c a arae-eler, ewo-eler ad Recrve arae [,]. e cofrao of e x o roboc aplaor odel ad Deav-Hareber paraeer ca be ee Fre ad able I repecvely [4]. I dy, arae-eler ed for dyac odel of e x o roboc aplaor. arae-eler eqao of e oo, d d τ θ θ Proceed of e Ieraoal lcoferece of Eeer ad Coper Sce 8 Vol II IECS 8, 9- arc, 8, Ho Ko ISB: IECS 8
4 Proceed of e Ieraoal lcoferece of Eeer ad Coper Sce 8 Vol II IECS 8, 9- arc, 8, Ho Ko were τ eeralzed orqe appled o e ye fro o, araa fco K P, K : oal ec eery of e aplaor, P : oal poeal eery of e aplaor, θ e alar poo of e o, ad. θ e fr order dervave of e θ. Eqao wc were ed for e calclao of e oal ec eery of e aplaor are ve 7, 8, ad 9. K 7 K dk K 8 dk x& y& z& d 9 Eqao wc were ed for e calclao of e oal poeal eery of e aplaor are ve,,, ad. V. SIAIO RESS I paper, wa deed 6R x-dof roboc aplaor corol ewo-rapo -R pleeed Geeralzed Predcve Coroller GPC alor baed o o corol. I wa copared w RS Recrve ea Sqare pleeed GPC accord o e lao rel. oal lao e ecod ad oal ep ber. I addoally, robo aplaor carre 5 load a e ed-effecer. able II. Soe rel of lao robo aplaor by -R ad RS pleeed GPC o Alor Alar Ial Dered Acal Pa Ale Ale Ale Error rad rad rad rad o -R RS o -R RS o -R RS o -R RS o -R RS o -R RS F. e odel of 6R Robo aplaor able I. Deav-Hareber Paraeer of PA 56 Robo Ar α a θ d deree eer eer -9 θ θ θ θ θ 5 6 θ 6.56 P P r P For exaple, e rel of alar pa were ve Fre. Alar veloce ad alar poo error were ve belo o robo ar o, ad 5 Fre 4, 5 ad 6 repecvely. Addoally, al- dered-acal ale, alar pa error were ve able II ad alo qare of alar velocy error vale were ve able III. A ee able II, ale pa error are aller e - R a oe e RS. O e oer ad, e qare of alar velocy error are proporoal o e er. e le alar velocy error a e o lead o le er. W -R coroller appeed fewer ol a e o. A ee F., -R coroller raced o dered raecory ooer ad cloer a RS coroller. I rac perforace, bo alor were fod o be afacory, accord o lao rel of alar velocy ve F 4-6. Alo, e dfferece of alar pa error are ee ae F. able III. Soe rel of alar velocy error rad/ec o o o o4 o5 o6 -R RS able IV. Poo error of robo ar ad proce e CP e of coroller r A r Poo error Proce e r x, y, z, Were e a of e lb, e ravy vecor, A e rao arx /. -R RS e poo error of robo ar ad proce e belo o corol alor were ve able IV. e ISB: IECS 8
5 Proceed of e Ieraoal lcoferece of Eeer ad Coper Sce 8 Vol II IECS 8, 9- arc, 8, Ho Ko poo error of e -R coroller are leer a oe by RS. For proce e, lao of e RS ad ae 469, werea e -R coroller a ae 65, for e ve raecory F 4-6. ewo-rapo eod redced e e of co fco zao ad alo redced e proce e. a. -R b. RS F. Alar Pa of o by -R ad RS pleeed GPC a. -R b. RS F. 4 Alar Velocy ad Alar Poo Error for o by -R ad RS pleeed GPC a. -R b. RS F. 5 Alar Velocy ad Alar Poo Error for o by -R ad RS pleeed GPC ISB: IECS 8
6 Proceed of e Ieraoal lcoferece of Eeer ad Coper Sce 8 Vol II IECS 8, 9- arc, 8, Ho Ko a. -R b. RS F. 6 Alar Velocy ad Alar Poo Error for o 5 by -R ad RS pleeed GPC I paper, copaoally effce of co fco zao e GPC alor wa exaed. ere over copao e zao of e co fco. ewo-rapo pdae eod reqre le erao ber for coverece ad redce e calclao I applcao, Recrve ea Sqare RS pleeed GPC bewee ewo-rapo pleeed GPC coroller were appled o e 6R robo ar aplaor baed o o corol. e rel of alar pa ad alar velocy belo o o, poo error of ed-effecer ad alo proce e of coroller were copared. Accord o e lao rel, ewo- Rapo pleeed GPC redced poo error ad alo proce e for robo aplaor corol. ea a e ewo-rapo proved corol perforace of e GPC. [] F. era, H. era,. Ya, C. Oz, Effec of e raecory Pla o e odel Baed Predcve Roboc aplaor Corol, ec. oe Cop. Sc., 869, pp [] W.H. Pre, B.P. Flaery, S.A. eoly, ad W.. Veerl, ercal Recpe C:e Ar of Scefc Cop, Cabrde very Pre 988. [] W.. Slver, O e Eqvalece of araa ad ewo-eler Dyac for aplaor, e Ieraoal oral of Roboc Reearc, Vol [] C. S. G. ee, Robo Ar Keac- Dyac, ad Corol, Coper, Vol [4] ar.., Beczy A.K, Y X., Coordaed Corol of wo Robo Ar, CH8-/86//9/. copy IEEE, 986. REFERECES [] Clare D W. Applcao of eeralzed predcve corol o dral procee. IEEE corol Sy. aa, 988, 8, pp [] Rcale, odel predcve erc corol: Applcao o dral procee, Aoaca, 978, 45, pp [] Roa R., era R K. odel alorc corol AC, Bac eorecal propere, Aoaca,98, 84, pp [4] C R Cler, B Raaer, Dyac arx corol: A coper corol alor, Proceed of o Aoaca Corol Coferece, Sa Fracco, 98. [5] Köer R., De ad perforace of a elle predcve coroller for a x-deree-of-freedo robo e Ela ewor, Iforao Scece, Vole 76, Ie, pp , e 6. [6] D. Solaway, P. Haley, eral eeralzed predcve cool: a ewo- Rapo pleeao, Proceed of e IEEE Ieraoal Sypo o Ielle Corol, pp. 77-8, 996. [7] G. A. oae,.. Wll,.. a ad A.. orr, Arfcal eral ewor Baed Corol, Ieraoal Coferece o Corol 99, Vol., pp [8] eo So ad Swo Par. eral odel-predcve Corol for olear Cecal Procee, oral of Cecal Eeer of apa, 99, V6, 4, pp [9] D.C. Pcoo ad.h. ar, olear Ieral odel ad odel Predcve Corol eral ewor, 5 IEEE Ieraoal Sypo o Ielle Corol 99, pp ISB: IECS 8
ELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University
ecre Noe Prepared b r G. ghda EE 64 ETUE NTE WEE r. r G. ghda ocorda Uer eceraled orol e - Whe corol heor appled o a e ha co of geographcall eparaed copoe or a e cog of a large ber of p-op ao ofe dered
More informationNumerical Solutions of Nonlinear Fractional Fornberg-Whitham Equation by an Accurate Technique
Ieraoal Joral of Appled Egeerg eearc ISSN 973-456 Vole 3 Nber 4 8 pp. 38-45 eearc Ida Pblcao. p://www.rpblcao.co Nercal Solo of Nolear Fracoal Forberg-Wa Eao by a Accrae Tece Moaed S. Moaed Maeac Depare
More informationNUMERICAL EVALUATION of DYNAMIC RESPONSE
NUMERICAL EVALUATION of YNAMIC RESPONSE Aalycal solo of he eqao of oo for a sgle degree of freedo syse s sally o ossble f he excao aled force or grod accelerao ü g -vares arbrarly h e or f he syse s olear.
More informationIntegral Form of Popoviciu Inequality for Convex Function
Procees of e Paksa Acaey of Sceces: A. Pyscal a ozaoal Sceces 53 3: 339 348 206 oyr Paksa Acaey of Sceces ISSN: 258-4245 r 258-4253 ole Paksa Acaey of Sceces Researc Arcle Ieral For of Pooc Ieqaly for
More informationSolution 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 informationNUMERICAL SOLUTIONS TO ORDINARY DIFFERENTIAL EQUATIONS
NUMERICAL SOLUTIONS TO ORDINARY DIFFERENTIAL EQUATIONS If e eqao coas dervaves of a - order s sad o be a - order dffereal eqao. For eample a secod-order eqao descrbg e oscllao of a weg aced po b a sprg
More informationA Remark on Generalized Free Subgroups. of Generalized HNN Groups
Ieraoal Mahemacal Forum 5 200 o 503-509 A Remar o Geeralzed Free Subroup o Geeralzed HNN Group R M S Mahmood Al Ho Uvery Abu Dhab POBo 526 UAE raheedmm@yahoocom Abrac A roup ermed eeralzed ree roup a ree
More informationAnalysis of a Stochastic Lotka-Volterra Competitive System with Distributed Delays
Ieraoal Coferece o Appled Maheac Sulao ad Modellg (AMSM 6) Aaly of a Sochac Loa-Volerra Copeve Sye wh Drbued Delay Xagu Da ad Xaou L School of Maheacal Scece of Togre Uvery Togre 5543 PR Cha Correpodg
More informationChapter 1 - Free Vibration of Multi-Degree-of-Freedom Systems - I
CEE49b Chaper - Free Vbrao of M-Degree-of-Freedo Syses - I Free Udaped Vbrao The basc ype of respose of -degree-of-freedo syses s free daped vbrao Aaogos o sge degree of freedo syses he aayss of free vbrao
More informationNew approach for numerical solution of Fredholm integral equations system of the second kind by using an expansion method
Ieraoal Reearch Joural o Appled ad Bac Scece Avalable ole a wwwrabcom ISSN 5-88X / Vol : 8- Scece xplorer Publcao New approach or umercal oluo o Fredholm eral equao yem o he ecod d by u a expao mehod Nare
More informationCurvilinear Motion: Normal and Tangential Components
15 Crviliear Moio: Noral ad Tageial Copoe Ref: Hibbeler 1.7, Bedford & Fowler: Dyaic.3 Whe he pah of a paricle i kow, a - coordiae ye wih a origi a he locaio of he paricle (a a ia i ie) ca be helpfl i
More informationSolution 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 informationCalibration Approach Based Estimators of Finite Population Mean in Two - Stage Stratified Random Sampling
I.J.Curr.crobol.App.Sc (08) 7(): 808-85 Ieraoal Joural of Curre crobolog ad Appled Scece ISS: 39-7706 olue 7 uber 0 (08) Joural hoepage: hp://www.jca.co Orgal Reearch Arcle hp://do.org/0.0546/jca.08.70.9
More informationThe Signal, Variable System, and Transformation: A Personal Perspective
The Sgal Varable Syem ad Traformao: A Peroal Perpecve Sherv Erfa 35 Eex Hall Faculy of Egeerg Oule Of he Talk Iroduco Mahemacal Repreeao of yem Operaor Calculu Traformao Obervao O Laplace Traform SSB A
More informationA 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 informationTheory and application of the generalized integral representation method (GIRM) in advection diffusion problem
Appled ad ompaoal Mahemacs 4; 4: 7-49 blshed ole Ags 4 hp://www.scecepblshggrop.com//acm do:.648/.acm.44.5 IN: 8-565 r; IN: 8-56 Ole Theory ad applcao of he geeralzed egral represeao mehod IRM adveco dffso
More information-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL
UPB Sc B See A Vo 72 I 3 2 ISSN 223-727 MUTIPE -HYBRID APACE TRANSORM AND APPICATIONS TO MUTIDIMENSIONA HYBRID SYSTEMS PART II: DETERMININ THE ORIINA Ve PREPEIŢĂ Te VASIACHE 2 Ace co copeeă oă - pce he
More informationFinal Exam Applied Econometrics
Fal Eam Appled Ecoomercs. 0 Sppose we have he followg regresso resl: Depede Varable: SAT Sample: 437 Iclded observaos: 437 Whe heeroskedasc-cosse sadard errors & covarace Varable Coeffce Sd. Error -Sasc
More informationSuppose we have observed values t 1, t 2, t n of a random variable T.
Sppose we have obseved vales, 2, of a adom vaable T. The dsbo of T s ow o belog o a cea ype (e.g., expoeal, omal, ec.) b he veco θ ( θ, θ2, θp ) of ow paamees assocaed wh s ow (whee p s he mbe of ow paamees).
More informationOptimal Control and Hamiltonian System
Pure ad Appled Maheacs Joural 206; 5(3: 77-8 hp://www.scecepublshggroup.co//pa do: 0.648/.pa.2060503.3 ISSN: 2326-9790 (Pr; ISSN: 2326-982 (Ole Opal Corol ad Haloa Syse Esoh Shedrack Massawe Depare of
More informationLaplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.
Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o
More informationState-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 informationReliability Analysis. Basic Reliability Measures
elably /6/ elably Aaly Perae faul Œ elably decay Teporary faul Œ Ofe Seady ae characerzao Deg faul Œ elably growh durg eg & debuggg A pace hule Challeger Lauch, 986 Ocober 6, Bac elably Meaure elably:
More informationScience & Technologies GENERAL BIRTH-DEATH PROCESS AND SOME OF THEIR EM (EXPETATION- MAXIMATION) ALGORITHM
GEERAL BIRH-EAH ROCESS A SOME OF HEIR EM EXEAIO- MAXIMAIO) ALGORIHM Il Hl, Lz Ker, Ylldr Seer Se ery o eoo,, eoo Mcedo l.hl@e.ed.; lz.er@e.ed.; ylldr_@hol.co ABSRAC Brh d deh roce coo-e Mrco ch, h odel
More informationRECURSIVE IDENTIFICATION BASED ON NONLINEAR STATE SPACE MODELS APPLIED TO DRUM-BOILER DYNAMICS WITH NONLINEAR OUTPUT EQUATIONS
005 Amerca Corol Coferece Je 8-0, 005 Porlad, OR, UA FrC54 RECURVE DENFCAON BAED ON NONLNEAR AE PACE MODEL APPLED O DRUM-BOLER DYNAMC WH NONLNEAR OUPU EQUAON orbjör Wgre, eor Member, EEE Abrac he paper
More informationLecture 3 Topic 2: Distributions, hypothesis testing, and sample size determination
Lecure 3 Topc : Drbuo, hypohe eg, ad ample ze deermao The Sude - drbuo Coder a repeaed drawg of ample of ze from a ormal drbuo of mea. For each ample, compue,,, ad aoher ac,, where: The ac he devao of
More informationCS344: Introduction to Artificial Intelligence
C344: Iroduco o Arfcal Iellgece Puhpa Bhaacharyya CE Dep. IIT Bombay Lecure 3 3 32 33: Forward ad bacward; Baum elch 9 h ad 2 March ad 2 d Aprl 203 Lecure 27 28 29 were o EM; dae 2 h March o 8 h March
More informationONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin
Iero Jor "Iforo Theore & co" Vo 463 ONE PPROH FOR THE OPTIIZTION OF ETITE UTING GORITH Do rc: I h rce he ew roch for ozo of eo ccg gorh ggeed I c e ed for fdg he correc gorh of coexy he coex of gerc roch
More informationKey words: Fractional difference equation, oscillatory solutions,
OSCILLATION PROPERTIES OF SOLUTIONS OF FRACTIONAL DIFFERENCE EQUATIONS Musafa BAYRAM * ad Ayd SECER * Deparme of Compuer Egeerg, Isabul Gelsm Uversy Deparme of Mahemacal Egeerg, Yldz Techcal Uversy * Correspodg
More informationDifferential Equation of Eigenvalues for Sturm Liouville Boundary Value Problem with Neumann Boundary Conditions
Ierol Reserc Jorl o Aled d Bsc Sceces 3 Avlle ole www.rjs.co ISSN 5-838X / Vol 4 : 997-33 Scece Exlorer Plcos Derel Eqo o Eevles or Sr Lovlle Bodry Vle Prole w Ne Bodry Codos Al Kll Gold Dere o Mecs Azr
More informationMidterm Exam. Tuesday, September hour, 15 minutes
Ecoomcs of Growh, ECON560 Sa Fracsco Sae Uvers Mchael Bar Fall 203 Mderm Exam Tuesda, Sepember 24 hour, 5 mues Name: Isrucos. Ths s closed boo, closed oes exam. 2. No calculaors of a d are allowed. 3.
More informationA Fusion Method of Fault Diagnosis Based on Nonlinear Spectral Analysis
Fo eod o Fal ago Baed o olear Seral al Ra We ogzao a Sool o Elero ad Iorao Egeerg X'a Jaoog Uver X'a 749.R. a rwe@are.o za@.ed. oggag Zo a Zag ad Xeg Wag Sool o Elero ad Iorao Egeerg X'a Jaoog Uver X'a
More informationMaximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002
Mmm lkelhood eme of phylogey BIO 9S/ S 90B/ MH 90B/ S 90B Iodco o Bofomc pl 00 Ovevew of he pobblc ppoch o phylogey o k ee ccodg o he lkelhood d ee whee d e e of eqece d ee by ee wh leve fo he eqece. he
More informationCollapsing to Sample and Remainder Means. Ed Stanek. In order to collapse the expanded random variables to weighted sample and remainder
Collapg to Saple ad Reader Mea Ed Staek Collapg to Saple ad Reader Average order to collape the expaded rado varable to weghted aple ad reader average, we pre-ultpled by ( M C C ( ( M C ( M M M ( M M M,
More informationAPPLICATION OF A Z-TRANSFORMS METHOD FOR INVESTIGATION OF MARKOV G-NETWORKS
Joa of Aed Mahema ad Comaoa Meha 4 3( 6-73 APPLCATON OF A Z-TRANSFORMS METHOD FOR NVESTGATON OF MARKOV G-NETWORKS Mha Maay Vo Nameo e of Mahema Ceohowa Uey of Tehoogy Cęohowa Poad Fay of Mahema ad Come
More informationEfficient Estimators for Population Variance using Auxiliary Information
Global Joural of Mahemacal cece: Theor ad Praccal. IN 97-3 Volume 3, Number (), pp. 39-37 Ieraoal Reearch Publcao Houe hp://www.rphoue.com Effce Emaor for Populao Varace ug Aular Iformao ubhah Kumar Yadav
More information( ) ( ) Weibull Distribution: k ti. u u. Suppose t 1, t 2, t n are times to failure of a group of n mechanisms. The likelihood function is
Webll Dsbo: Des Bce Dep of Mechacal & Idsal Egeeg The Uvesy of Iowa pdf: f () exp Sppose, 2, ae mes o fale of a gop of mechasms. The lelhood fco s L ( ;, ) exp exp MLE: Webll 3//2002 page MLE: Webll 3//2002
More informationFORCED VIBRATION of MDOF SYSTEMS
FORCED VIBRAION of DOF SSES he respose of a N DOF sysem s govered by he marx equao of moo: ] u C] u K] u 1 h al codos u u0 ad u u 0. hs marx equao of moo represes a sysem of N smulaeous equaos u ad s me
More informationA 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 informationAxiomatic Definition of Probability. Problems: Relative Frequency. Event. Sample Space Examples
Rado Sgals robabl & Rado Varables: Revew M. Sa Fadal roessor o lecrcal geerg Uvers o evada Reo Soe phscal sgals ose cao be epressed as a eplc aheacal orla. These sgals s be descrbed probablsc ers. ose
More informationP a g e 3 6 of R e p o r t P B 4 / 0 9
P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J
More informationHybrid Fuzzy Convolution Model Based Predictor Corrector Controller
Hbrd Fzz Covolo Model Bed Predor Correor Coroller Jáo ABOYI Árád BÓDIZS Lo AGY Fere SZEIFERT Dere of Chel Eeer Cbere Uver of Vezré P.O.Bo 58 Vezré H-80 HUGARY E-l: bo@b.ve.h Abr. Th er ree ew fzz odel
More informationThe Linear Regression Of Weighted Segments
The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed
More informationInternational Journal of Scientific & Engineering Research, Volume 3, Issue 10, October ISSN
Ieraoal Joural of cefc & Egeerg Research, Volue, Issue 0, Ocober-0 The eady-ae oluo Of eral hael Wh Feedback Ad Reegg oeced Wh o-eral Queug Processes Wh Reegg Ad Balkg ayabr gh* ad Dr a gh** *Assoc Prof
More informationSupport Appendix The Logistics Impact of a Mixture of Order-Streams in a Manufacturer-Retailer System Ananth V Iyer and Apurva Jain
So Aedx Te og Ia o a Mxe o Ode-Sea a Maae-Reale Sye Aa V Iye ad Ava Ja Teoe 4: e ad q be e obably geeag o o e eady-ae be o ode ee e ye by a avg H ode ad a M ode eevely Te ad q Wee ad be e ee oo o e ollowg
More informationOn the energy of complement of regular line graphs
MATCH Coucato Matheatcal ad Coputer Chetry MATCH Cou Math Coput Che 60 008) 47-434 ISSN 0340-653 O the eergy of copleet of regular le graph Fateeh Alaghpour a, Baha Ahad b a Uverty of Tehra, Tehra, Ira
More informationComputer Life (CPL) ISSN: Research on IOWHA Operator Based on Vector Angle Cosine
Copuer Lfe (CPL) ISS: 1819-4818 Delverg Qualy Scece o he World Research o IOWHA Operaor Based o Vecor Agle Cose Megg Xao a, Cheg L b Shagha Uversy of Egeerg Scece, Shagha 0160, Cha a x18065415@163.co,
More informationThe Properties of Probability of Normal Chain
I. J. Coep. Mah. Sceces Vol. 8 23 o. 9 433-439 HIKARI Ld www.-hkar.co The Properes of Proaly of Noral Cha L Che School of Maheacs ad Sascs Zheghou Noral Uversy Zheghou Cy Hea Provce 4544 Cha cluu6697@sa.co
More informationVARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS. Hunan , China,
Mahemacal ad Compuaoal Applcaos Vol. 5 No. 5 pp. 834-839. Assocao for Scefc Research VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS Hoglag Lu Aguo Xao Yogxag Zhao School of Mahemacs
More informationThe conditional density p(x s ) Bayes rule explained. Bayes rule for a classification problem INF
INF 4300 04 Mulvarae clafcao Ae Solberg ae@fuoo Baed o Chaper -6 Duda ad Har: Paer Clafcao Baye rule for a clafcao proble Suppoe we have J, =,J clae he cla label for a pel, ad he oberved feaure vecor We
More informationThe Variational Iteration Method Which Should Be Followed
From he SelecedWork of J-Ha He The Varaoal Ierao Mehod Whch Shold Be Followed J-Ha He, ogha Uvery Go-Cheg W, ogha Uvery F. A, Hog Kog Polyechc Uvery Avalable a: hp://work.bepre.com/j_ha_he/49/ J.H. He,
More informationFault Tolerant Computing. Fault Tolerant Computing CS 530 Reliability Analysis
Probably /4/6 CS 5 elably Aaly Yahwa K. Malaya Colorado Sae very Ocober 4, 6 elably Aaly: Oule elably eaure: elably, avalably, Tra. elably, T M MTTF ad (, MTBF Bac Cae Sgle u wh perae falure, falure rae
More informationObservations on the transcendental Equation
IOSR Jourl o Mecs IOSR-JM e-issn: 78-78-ISSN: 9-7 Volue 7 Issue Jul. - u. -7 www.osrjourls.or Oservos o e rscedel Euo M..Gol S.Vds T.R.Us R Dere o Mecs Sr Idr Gd Collee Trucrll- src: Te rscedel euo w ve
More informationThe automatic optimal control process for the operation changeover of heat exchangers
Te aua pal rl pre fr e pera agever f ea exager K. L. Lu B. eeyer 4 & M. L very f e Feeral Are Fre Haburg Geray very f Saga fr See & Telgy P. R. Ca Tg J very P. R. Ca 4 GKSS Reear Cere Geray Abra Crl prble
More informationSome Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling
Vplav Kumar gh Rajeh gh Deparme of ac Baara Hdu Uver Varaa-00 Ida Flore maradache Uver of ew Meco Gallup UA ome Improved Emaor for Populao Varace Ug Two Aular Varable Double amplg Publhed : Rajeh gh Flore
More informationTHE LOWELL LEDGER, INDEPENDENT NOT NEUTRAL.
E OE EDGER DEEDE O EUR FO X O 2 E RUO OE G DY OVEER 0 90 O E E GE ER E ( - & q \ G 6 Y R OY F EEER F YOU q --- Y D OVER D Y? V F F E F O V F D EYR DE OED UDER EDOOR OUE RER (E EYEV G G R R R :; - 90 R
More informationNumerical Methods using the Successive Approximations for the Solution of a Fredholm Integral Equation
ece Advce Appled d eorecl ec uercl eod u e Succeve Approo or e Soluo o Fredol Ierl Equo AIA OBIŢOIU epre o ec d opuer Scece Uvery o Peroş Uvery Sree 6 Peroş OAIA rdorou@yoo.co Arc: pper pree wo eod or
More informationNASH EQUILIBRIUM AND ROBUST STABILITY IN DYNAMIC GAMES: A SMALL-GAIN PERSPECTIVE
NASH EUILIBIUM AND OBUS SABILIY IN DYNAMIC GAMES: A SMALL-GAIN PESPECIE Iao arafyll * Zog-Pg Jag ** ad George Aaaou *** * Depare of Evroeal Egeerg eccal Uvery of Cree 73 Caa Greece eal: karafyl@eveg.uc.gr
More informationOH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9
OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at
More information4. Runge-Kutta Formula For Differential Equations
NCTU Deprme o Elecrcl d Compuer Egeerg 5 Sprg Course by Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos To solve e derel equos umerclly e mos useul ormul s clled Ruge-Ku ormul
More information4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula
NCTU Deprme o Elecrcl d Compuer Egeerg Seor Course By Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos A. Euler Formul B. Ruge-Ku Formul C. A Emple or Four-Order Ruge-Ku Formul
More informationThe Poisson Process Properties of the Poisson Process
Posso Processes Summary The Posso Process Properes of he Posso Process Ierarrval mes Memoryless propery ad he resdual lfeme paradox Superposo of Posso processes Radom seleco of Posso Pos Bulk Arrvals ad
More informationThe ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.
C. Trael me cures for mulple reflecors The ray pahs ad rael mes for mulple layers ca be compued usg ray-racg, as demosraed Lab. MATLAB scrp reflec_layers_.m performs smple ray racg. (m) ref(ms) ref(ms)
More informationAmerican 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 informationNoncommutativity Error Analysis of Strapdown Inertial Navigation System under the Vibration in UAVs
Ieraoal Joural of Advaced Roboc Sye ARTICLE Nocouavy Error Aaly of Srapdow Ieral Navgao Sye uder he Vbrao UAV Regular Paper Jzhou La,*, P Lv, Jaye Lu ad B Jag College of Auoao Egeerg, Najg Uvery of Aeroauc
More informationFractal 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 informationP-Convexity Property in Musielak-Orlicz Function Space of Bohner Type
J N Sce & Mh Res Vol 3 No (7) -7 Alble ole h://orlwlsogocd/deh/sr P-Coey Proery Msel-Orlcz Fco Sce o Boher ye Yl Rodsr Mhecs Edco Deree Fcly o Ss d echology Uerss sl Neger Wlsogo Cerl Jdoes Absrcs Corresodg
More informationc- : r - C ' ',. A a \ V
HS PAGE DECLASSFED AW EO 2958 c C \ V A A a HS PAGE DECLASSFED AW EO 2958 HS PAGE DECLASSFED AW EO 2958 = N! [! D!! * J!! [ c 9 c 6 j C v C! ( «! Y y Y ^ L! J ( ) J! J ~ n + ~ L a Y C + J " J 7 = [ " S!
More informationTHIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings.
T H S PA G E D E CLA SSFED AW E O 2958 RS u blc Recod Key fo maon Ma n AR MATEREL COMM ND D cumen Type Call N u b e 03 V 7 Rcvd Rel 98 / 0 ndexe D 38 Eneed Dae RS l umbe 0 0 4 2 3 5 6 C D QC d Dac A cesson
More informationParts Manual. EPIC II Critical Care Bed REF 2031
EPIC II Critical Care Bed REF 2031 Parts Manual For parts or technical assistance call: USA: 1-800-327-0770 2013/05 B.0 2031-109-006 REV B www.stryker.com Table of Contents English Product Labels... 4
More informationPartial Molar Properties of solutions
Paral Molar Properes of soluos A soluo s a homogeeous mxure; ha s, a soluo s a oephase sysem wh more ha oe compoe. A homogeeous mxures of wo or more compoes he gas, lqud or sold phase The properes of a
More informationCompetitive Facility Location Problem with Demands Depending on the Facilities
Aa Pacc Maageme Revew 4) 009) 5-5 Compeve Facl Locao Problem wh Demad Depedg o he Facle Shogo Shode a* Kuag-Yh Yeh b Hao-Chg Ha c a Facul of Bue Admrao Kobe Gau Uver Japa bc Urba Plag Deparme Naoal Cheg
More informationNotes on MRI, Part III
oll 6 MRI oe 3: page oe o MRI Par III The 3 rd Deo - Z The 3D gal equao ca be wre a follow: ep w v u w v u M ddd where Muvw he 3D FT of. I he p-warp ehod for D acquo oe le a a e acqured he D Fourer doa
More informationComputational Fluid Dynamics CFD. Solving system of equations, Grid generation
Compaoal ld Dyamcs CD Solvg sysem of eqaos, Grd geerao Basc seps of CD Problem Dscrezao Resl Gov. Eq. BC I. Cod. Solo OK??,,... Solvg sysem of eqaos he ype of eqaos decdes solo sraegy Marchg problems Eqlbrm
More informationSolution. The straightforward approach is surprisingly difficult because one has to be careful about the limits.
ose ad Varably Homewor # (8), aswers Q: Power spera of some smple oses A Posso ose A Posso ose () s a sequee of dela-fuo pulses, eah ourrg depedely, a some rae r (More formally, s a sum of pulses of wdh
More informationEE 6885 Statistical Pattern Recognition
EE 6885 Sascal Paer Recogo Fall 005 Prof. Shh-Fu Chag hp://www.ee.columba.edu/~sfchag Lecure 5 (9//05 4- Readg Model Parameer Esmao ML Esmao, Chap. 3. Mure of Gaussa ad EM Referece Boo, HTF Chap. 8.5 Teboo,
More informationCyclically Interval Total Colorings of Cycles and Middle Graphs of Cycles
Ope Joural of Dsree Mahemas 2017 7 200-217 hp://wwwsrporg/joural/ojdm ISSN Ole: 2161-7643 ISSN Pr: 2161-7635 Cylally Ierval Toal Colorgs of Cyles Mddle Graphs of Cyles Yogqag Zhao 1 Shju Su 2 1 Shool of
More informationDelay-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(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 informationT 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 informationInstruction Sheet COOL SERIES DUCT COOL LISTED H NK O. PR D C FE - Re ove r fro e c sed rea. I Page 1 Rev A
Instruction Sheet COOL SERIES DUCT COOL C UL R US LISTED H NK O you or urc s g t e D C t oroug y e ore s g / as e OL P ea e rea g product PR D C FE RES - Re ove r fro e c sed rea t m a o se e x o duct
More informationA New Algorithm for Solving Coupled. Schrödinger KdV Equation: An Application. of the Fourier Transform Adomian. Decomposition Method
. Ses Theor. Phys. Vol. 8 o. 8 57-6 HIKRI.-hkar.o hp://.o.or/.988/asp..6 e lorh for Sol ople Shröer KV Eqao: pplao of he orer Trasfor oa Deoposo Meho reshr ha Sahareh Depare of Mehaal Eeer Soh Tehra rah
More informationDecomposition of Supercritical Linear-Fractional Branching Processes
Appled Maeac, 203, 4, 352-359 p://dxdoorg/04236/a20342054 Publed Ole February 203 (p://wwwcrporg/oural/a) Decopoo o Supercrcal Lear-Fracoal Bracg Procee Ser Sagov, Alyay Saerdeova 2 Maeacal Scece, Caler
More informationAsymptotic 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 informationCIVL 7/8111 Time-Dependent Problems - 1-D Diffusion Equation 1/21
CIV 7/8 me-depede Problems - -D Dffso Eqao / e prevos ree capers deal eclsvely w seadysae problems, a s, problems were me dd o eer eplcly o e formlao or solo of e problem. e ypes of problems cosdered Capers
More informationThe MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p
Reearch Joural of Aled Scece Eeer ad Techoloy (6): 28-282 22 ISSN: 2-6 Maxwell Scefc Orazao 22 Submed: March 26 22 Acceed: Arl 22 Publhed: Auu 5 22 The MacWllam Idey of he Lear ode over he R F +uf +vf
More informationLeast Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters
Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo
More informationProduction Planning with Postponement Strategy Based on Classification of Product Differentiations
ACADEMY PBLISHER 5 Prodco Plag wh Pospoee Sraegy Based o Classfcao of Prodc Dffereaos Yg L School of Aooble ad Traffc Egeerg Jags versy Zheag P. R. Cha Eal: lygs@yeah.e Peg Jg School of Aooble ad Traffc
More informationLecture 3 summary. C4 Lecture 3 - Jim Libby 1
Lecue su Fes of efeece Ivce ude sfoos oo of H wve fuco: d-fucos Eple: e e - µ µ - Agul oeu s oo geeo Eule gles Geec slos cosevo lws d Noehe s heoe C4 Lecue - Lbb Fes of efeece Cosde fe of efeece O whch
More informationPhysics 240: Worksheet 16 Name
Phyic 4: Workhee 16 Nae Non-unifor circular oion Each of hee proble involve non-unifor circular oion wih a conan α. (1) Obain each of he equaion of oion for non-unifor circular oion under a conan acceleraion,
More informationSimulation of Soft Bodies with Pressure Force and the Implicit Method
Sulao of Sof Bodes w Pressure Force ad e Iplc Meod Jaruwa Mes Raa K. Gua Scool of Elecrcal Egeerg ad Copuer Scece Uversy of Ceral Florda, Orlado, Florda 386 es@cs.ucf.edu gua@cs.ucf.edu Absrac Te plc approac
More informationOptimal Tracking Control Design of Quantum Systems via Tensor Formal Power Series Method
5 he Ope Auoao ad Corol Syse Joural, 8,, 5-64 Ope Access Opal racg Corol Desg of Quau Syses va esor Foral Power Seres Mehod Bor-Se Che, *, We-Hao Che,, Fa Hsu ad Weha Zhag 3 Depare of Elecrcal Egeerg,
More informationSpeech, NLP and the Web
peech NL ad he Web uhpak Bhaacharyya CE Dep. IIT Bombay Lecure 38: Uuperved learg HMM CFG; Baum Welch lecure 37 wa o cogve NL by Abh Mhra Baum Welch uhpak Bhaacharyya roblem HMM arg emac ar of peech Taggg
More informationX-Ray Notes, Part III
oll 6 X-y oe 3: Pe X-Ry oe, P III oe Deeo Coe oupu o x-y ye h look lke h: We efe ue of que lhly ffee efo h ue y ovk: Co: C ΔS S Sl o oe Ro: SR S Co o oe Ro: CR ΔS C SR Pevouly, we ee he SR fo ye hv pxel
More informationQR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA
QR facorzao Ay x real marx ca be wre as AQR, where Q s orhogoal ad R s upper ragular. To oba Q ad R, we use he Householder rasformao as follows: Le P, P, P -, be marces such ha P P... PPA ( R s upper ragular.
More informationSurvival Prediction Based on Compound Covariate under Cox Proportional Hazard Models
Ieraoal Bomerc Coferece 22/8/3, Kobe JAPAN Survval Predco Based o Compoud Covarae uder Co Proporoal Hazard Models PLoS ONE 7. do:.37/oural.poe.47627. hp://d.plos.org/.37/oural.poe.47627 Takesh Emura Graduae
More informationComparison of Out-of-sequence Measurement Algorithms in Multi-platform Target Tracking
Coparso of Ou-of-sequece Measuree Algorhs Mul-plafor Targe Tracg Mahedra Mallc a Sefao Coralupp a ad Yaaov Bar-Shalo b allc@alphaechco sefaocoralupp@alphaechco ybs@egrucoedu a ALPHATECH Ic 50 Mall Road
More informationNormal Random Variable and its discriminant functions
Noral Rando Varable and s dscrnan funcons Oulne Noral Rando Varable Properes Dscrnan funcons Why Noral Rando Varables? Analycally racable Works well when observaon coes for a corruped snle prooype 3 The
More informationNumerical Techniques for Conservation Laws with Source Terms
Nmercal Techqe or Coerao Law wh Sorce Term by J Hdo Projec Speror Dr. P.K. Sweby Pro. M.J. Bae Abrac h derao we wll dc he e derece mehod or appromag coerao law wh a orce erm pree whch codered o be a kow
More informationGeometric Modeling
Geomerc Modelg 9.58. Crves coed Cc Bezer ad B-Sle Crves Far Chaers 4-5 8 Moreso Chaers 4 5 4 Tycal Tyes of Paramerc Crves Corol os flece crve shae. Ierolag Crve asses hrogh all corol os. Herme Defed y
More information