System Normalization and Iron Saturation Based on Generalized Coupled Circuits Analysis as Fundamentals for Electric Machines Modeling Course
|
|
- David Ramsey
- 5 years ago
- Views:
Transcription
1 Syse Noralzao ad ro Saurao Based o Geeralzed Coupled Crcus Aalyss as Fudaeals for Elecrc Maches Modelg Course Ree Wakeue, Seor Meer, EEE Nee Nee éadre, Fouad Slaou-Hasaou École de Gée, UQAT Dépar. G. élecrque, ENSET École de Gée, UQAT Rouy-Norada, QC, Caada Douala, Caerou Rouy-Norada, QC, Caada ree.wakeue@uqa.ca leadre@gal.co fouad.slaou-hasaou@uqa.ca Asrac Ths paper descres he use of a suale approach o eachg geeralzed agecally coupled elecrc crcus as a roduco chaper o he elecrc aches odelg ad sulao course for power egeerg sudes. The eachg ehodology focuses o soe coo coceps ad fudaeals of elecrcal ache heory such as ache ducaces (self, leakage ad uual), equvale crcus, agec crcus, ro saurao, recprocal per u syse, sae odelg ad sulao, so ha he odelg approach of each ype of classcal ache ca easly e deduced fro he geeral heory esalshed y he chaper o agecally coupled elecrc crcus. Keywords Magecally Coupled crcus; ro saurao; per u syse oralzao, sae space odel, applcao ad sulaos. NTRODUCTON Magecally coupled elecrc crcus are ceral o he operao of rasforers ad elecrcal aches, as specfed y Prof. Krause e al. []. A good udersadg of he heory uderlyg agecally coupled crcus grealy splfes oh he eachg ad he learg of rasforers ad elecrcal aches []-[4]. Therefore, for power egeerg sudes, specal aeo should e pad o eachg agecally coupled crcus, wh a ephass o her elecrcal ache srucure, as he frs chaper of he elecrcal aches course where rase odelg ad sulaos are cluded. The odelg of he equvale elecrc crcus of elecrcal aches s ased o agecally coupled crcus. The odelg ad sulao of elecrcal aches are grea challeges for power syse egeerg sudes aroud he world. Currely, ay uverses aroud he world, he agecally coupled crcus are oly augh he elecrc crcus, whch s a coo udergraduae course for frs year elecrcal egeerg progras []-[4]. Alhough rase ehavors are cluded elecrc crcus course, he sudy of elecrc aches for udergraduae power egeerg sudes s os of e sll led o he seady sae perforaces [5]. Furherore, here are o suffce pedagogcal lks ewee he courses elecrc crcus ad ay udergraduae exooks reag elecrc aches whch geeral do coe agecally coupled crcus [5]-[6]. Very few auhors have realzed he porace o ser he agecally coupled crcus as he frs chaper of her research exook [], [7]-[8]. However, eve hough he agecally coupled crcus developed [], [7] cluded he saurao pheoeo ad sulao aalyss, her elecrcal odels gve lock-dagra for, are o flexle o adap o he roag aches sudy ad corol purposes. As show he prese work, he course o agecally coupled crcus offers eresg opporues o roduce a fudaeals of he elecrcal aches odelg ad sulao. hs paper, geeralzed coceps ha could e appled o all elecrcal aches aalyss such as he sae odel, elecrcal equvale crcus, per-u syse oralzao, ro saurao, uercal sulaos are roduced a course o agecally coupled crcus o faclae he udersadg ad eres of fuure power egeerg sudes coecg he sudy ad aalyss of elecrcal aches. Repeag hese coceps over e whe aalyzg every ype of elecrcal ache (redudacy prcple) wll crease he sude s udersadg of he pedagogcal ojecves o e acheved.. EQUATONS OF GENERAZED MAGNETCAY COUPED CRCUTS Magecally coupled elecrc crcus wh a adjusale uer of cols are show Fg.. The flux equaos for cols are gve () ad reorgazed () whle he volage equaos are defed (3) []: wh: λ N + N R ( N + N + + N ) f λ N + N R ( N + N + + N ) f λ N + N R ( N + N + + N ) f ( l ) ( ) λ λ + λ + + λ λ λ + λ + + λ + + l + λ λ + λ + λ l d d d e r d d d e r d d d e r () () (3) /3/$ EEE
2 N N R l N f ; ; NN j j j ( R f N + N The followg relaoshps are derved ewee varous varales ad paraeers of he cols: ( j ) (4) + l (5) where: dλ dλ e r + ; e r + dλ ; ; e r + a N N ; j; e a e ; a j j λ a λ; r a r; l al; a ; a ; (7) j (8) Fg.3. Elecrcal equvale crcu for a adjusale uer of agecally coupled cols referred (oserved) fro wdg # ( prary) Fg.. Coupled elecrc crcu wh adjusale uer of wdgs. EQUVAENT CRCUT REFERRED FROM CO The a ojecve whe odelg a elecrcal syse such as agecally coupled crcus for he sudy of elecrcal aches s o derve flux ad volage equaos such ha he equvale crcu whou a galvac lk as llusraed Fg. ca e draw. The Krchhoff esh ad odal laws ca herefore e appled o he equvale crcu odel oaed for aalyss ad he soluo of he physcal agecally coupled crcus. order o acheve hs goal, flux ad volage equaos () ad (3) wll e odfed so ha he curre, flux ad volage of a gve col ca e oserved or referred fro col. The cocep of referred crcu oaed y creag fcous varales ad paraeers allows he galvac lk of Fg. o e reoved ewee cols ad, hus creaes her elecrcal coeco. such a coex, he apere-ours ( N j j) a gve secodary col j ca e aheacally replaced y he fcous prary apere-ours ( N ) so ha he curre he col j s gve y j N N referred fro c s equvale e r j j j l M e e Fg. Equvale crcu of wo agecally coupled crcus whou elecrcal coeco (wh a galvac lk) λ l λ + l λ l + 3 l ( col. r ) e() (6) Accordg o he eergy coservao prcple, he power he fcous crcu ad he acual secodary should e he sae ( e j j e j j ). roducg he aove fcous curre ad volage referred fro col () ad (3), he laer equaos ca e orgazed as gve (6) ad (7) wh he prary ad secodary j oh oor ode (for exaple, Fg., cols ad asor power fro exeral sources). The equvale crcu of he geeralzed agecally coupled crcu of Fg. referred fro col ( he oor ode) s gve Fg.3. s pora o oserve ha Fg. s que close o elecrcal equvale crcu of a varale reluca sychroous ache wh adjusale daper wdgs or ul-roor wdgs duco ache. The agezg ducace s also called he uual ducace sce a. j j V. NORMAZATON OF GENERAZED COUPED CRCUTS: PER UNT SYSTEM A. Defo of Base Values Noralzao schees are frequely used power syses odelg ad sulao. The per-u syses appled for he oralzao of elecrc ache equaos are o ore ofe clear o sudes. The grea advaage of he oralzao schee s ha he syse equaos are he sae depedely fro whch col hey are referred. The classcal agecally coupled crcus such as elecrcal aches ad rasforers are defed y he raed values of her dvdual crcus (): appare power S (VA), volage E N N (V), curre N (A), ad he raed pulsao ω π f (rad/s); where f (Hz) s he oal frequecy of he prary wdg volage e () (col ) suppled y he exeral ework. sgle-phase crcu aalyss, as s he case hs sudy, he ase quaes for a gve col () are defed Tale. Fro hs ale s oserved ha for wo arrary dsc cols ad j: E E a a j jj j j hus:
3 E E E E 3 3 S S S S 3 The aove relaoshp (9) s fudaeal ad geeral elecrcal aches aalyss whe syse oralzao s cocered. saes ha: he per-u oralzao, he VA ases of coupled crcus should e equal. TABE : BASE VARABES OF CO # Quay Base us De. Power S SN [VA] [e] Volage E EN [V] [e] Curre pedace S N [A] [] E E [Ω ] Z [z] ω ω π f [rad/s] [/] T ω [s] [] E λ ET ω [W-urs] [e] λ [H] [e/] Pulsao Te Flux ducace B. Noralzao of Volage Equaos For gve ase volages ad curres, E, E,,, E, for crcus of Fg., he volages equaos (3) of geeralzed coupled crcus ca e orgazed as expressed (0) where he dex (u) dcaes a per u quay: d d u u E e r + ω + ω + u u ω ω du du Eeu r u + ω + ω + ω ω d d E e r + ω + ω + wh: r u u u u u ω ω r r ω ; u E Z E λ ω X Z Z u X u () (9) (0) Accordg o relaoshps (), he recprocy of he uual ducaces should e preserved () (sce ). j j Aoher pora resul oaed fro he per-u syse oralzao s ha uual ducaces should e equal as expressed (3) (derved fro ()). ω j j j ω ω a ;( j) j u E E Z j j j ω j ω ω aj ; ju j E E Z j j j u u u u () (3) C. Noralzed Equaos The volage equaos (3) (S syse) ca e orgazed as gve (4) he recprocal per-u syse (pu) whou dex (u) ad uscule syols for leakage ducaces. The volage equaos (4) are foraed he arx for (5), where J (6) s a order arx wh all eres equal. Wh: d d d e r + l ω ω ω d d d e r + + l + + ω ω ω d d d e r l ω ω ω ( λ ) (4) d d e () R () + R () ω + ω (5) [ T ] ( ) ( ) g g g g R dag r r r dag l l l + J V. SATURATON MODE OF GENERAZED COUPED CRCUTS (6) order o roduce he saurao pheoeo prevous coupled crcus, eglecg he volage drop leakage ducace l ad ressace r, he col # volage (4) yelds: ( ) d d e ω 0 ω (7) Assug a col # susodal pu volage ad curre, (7) ca e wre o coplex for (8): E j ( ω ) j j (8) ω 0 0 (8) he agude of he agec curre oly depeds o he agude of eral volage E ad o o he sae of he crcu (loaded or o). Cosequely, f E s aaed
4 cosa, he uloaded ( 3 0 ) agezg 0 curre wll rea he sae eve f oher wdgs are loaded. Thus: (9) E E 0 0 X 0 (0) E f( ) Usg he o-load agezg characersc 0 0 oaed expereally (o load s coeced o secodary cols of he coupled crcus), he agec saurao curve f( ) gve Fg.4 ca e draw po per po fro (0). 0 ( ) (pu) 0 lear zoe (usauraed) (pu)) Fg.4. f( ) 0 characersc of he uloaded coupled crcus ( pu) The curve Fg.4 ca e easly odeled as polyoal fuco gve y () where paraeers α ad α 4 are copued fro curve fg usg polyf fuco of Mala progra ad he characersc f( ) 0. 0 s he usauraed agec ducace of he crcu whch s oaed fro o-load characersc of Fg.4. e( ) E E + + (pu) () 4 ( α α ) r l e () 0 r l e( ) Fg.5. Equvale crcu of wo agecally coupled crcus (rasforer or per phase equvale crcu of woud-roor duco oor) e( ) r l e( ) 0 + r l e( ) s o oe ha he agezg curre 0 depeds o he srucure of he coupled crcus uder sudy as show y exaples of wo agecally coupled cols of Fgs.5 ad 6 where akes he followg expressos respecvely: 0 ; + 0 (3) V. SATURATED STATE SPACE MODENG OF MAGNETCAY COUPED CRCUTS A. Sae Space Model of Magecally Coupled Crcus e us cosder a dyac lear syse defed y he dffereal equao (4); he so-called sadard for of he sae space odel of a lear dyac syse, a well-kow corol heory suggesed for udergraduae egeerg sudes [9], ca e suarzed as gve (5). The elecrcal arx equao (6) derved fro (5) ca e orgazed sadard sae for (7): () x () dx f( x (), u (),) (4) x () Ax () + Bu () (5) y() Cx() + Du() () λ() d( λ) e () R λ() + ω d( λ( )) ( ω R ) λ() + ( ω ) e() () λ() wh: Where () A ω R ; B ω ; C ; DΟ, T ; [ ] u e λ s he sae vecor, () (6) (7) (8) e he pu corol varale ad A, B, C ad D, he sae arx, he sae corol arx, he sae oupu arx ad he sae oupu corol arx respecvely. B. Sauraed Sae Model of Magecally Coupled Crcus eakages ducaces (4) l ; due o agec losses he ar gap are o cocered wh he saurao pheoeo. The agec saurao ca e ake o accou he sae odel (7) a each sa k y adapg he correspodg value ( ) of he agec ducace copued fro () k arces A ad C (8). The pleeed process o accou for saurao s he followg:. Oa he characersc E f( ) 0 0 f( ) of Fg.4. Oa he curve 0 3. Oa he reacace 0 fro f 0 Fg.6. Equvale crcu of wo agecally coupled crcus (AC geeraors)
5 V. 4. Copue paraeers α ad α4 usg he fuco polyf of Mala progra ad f ( ) 5. Defe a e vecor 0 k usg values for F seps of sulao. 6. Se k 0 ; 0 ad copue arces A, B, C usg crcu paraeers ad seady sae coos λ λ( ) Sulae he sae syse (7) usg he fuco ls (.) of Mala corol oolox oe e sep erval[ k k + ]. 8. Se k ad use curres oaed fro sep 7 o copue fro () k gve y (9) ad 9. Copue sae arces A, B, C 0. Repea sep 7 ul k k F EXAMPE OF NUMERCA APPCATON USNG MATAB order o provde sudes wh a saple applcao, uercal sulaos were perfored o a 60-Hz, 0-V/55-V/55-V, ad 330-VA sgle-phase rasforer wh wo secodary wdgs (Fg.7) whose paraeers are lsed Tale. Two dffere ess were perfored. Frs, he wo secodary wdgs were shor-crcued ad a 50-V DC volage was appled o he prary. he secod es, he DC volage was replaced y a 60-Hz 0-V AC volage. Per u ducace ad ressace arces copued for ase values of Tales ad V are respecvely: TABE : PARAMETERS OF THE TRANSFORMER 0.09 H.5 H 3 l 0.0H N 000 urs.5 H 5000 urs l l 3 r 0 Ohs N r N r k Ohs daa Fg.7. Elecrcal equvale crcu of hree wdgs rasforer TABE V: BASE VARABES OF COS #AND #3 Varale Base Value Power S E 330 VA Volage E E 55 V S E E Z ω ω f E λ ω λ Curre pedace Pulsao π 377 rad/s Flux ducace ; R 6 A 9.67 Ω 0.46 W-ur H (3) TABE : BASE VARABES OF CO # Varale Base Value E E Volage Curre S E Power S E 330 VA pedace Z E Pulsao Flux ducace 3 f 377 ω ω π E λ ω λ 0 V 3 A 36.7 Ω 7 rad/s 0.9 W-ur H Fg.8 The o-load agezg characerscc of he rasforer Fg.9 The o-load agezg characerscc 0 of he rasforer oh cases, sulao of he curre of each wdg ad he agezg curre of he rasforer was requesed. The f
6 o-load saurao characersc of he rasforer s provded Fg.8 whle he curve f( ) 0 s ploed Fg.9. Volages of he secodary wdgs are se o zero (shor-crcu) for he frs es. The prary sulaed curre s show Fg.0 whle he agezg curre ad he secodary curres are gve Fgs. ad respecvely. s o e oed ha he wo secodary wdgs are he sae. Afer he peak due o he sudde appled volage, he secodary curre ecoes zero (DC sgal). For he secod es, he susodal volage yelds susodal curres as show Fgs.3-5. The agezg. The pac curre s gve y 0 3 pheoeo s oserved o varous fgures. of he saurao Fg.4 Magezg curre followg a 0-V susodal volage of he prary wdg wh he secodary wdgs shor-crcu Fg.0. Curre of he rasforer prary followg a 50-V sep chage of he prary volage wh he secodary wdgs shor-crcu Fg. Magezg curre followg a 50-V sep chage of he prary volage wh he secodary wdgs shor-crcu Fg. 5 Secodary wdgs curre of he rasforer followg a 0-V susodal volage of he prary wdg wh he secodary wdgs shorcrcu. V. CONCUSON A suale approach o eachg agecally coupled crcus o power egeerg udergraduae sudes s proposed hs paper a ore geeral approach. The work aeps o show ha he udersadg ad eachg of dyac odelg ad sulao of elecrcal aches ca e grealy proved f specal aeo s gve o he eachg ehodology adoped for agecally coupled crcus, where varous coceps ache heory ca e easly roduced. The paper ephaszes o per-u syse oralzao cocep frequely used power syse heory ad o ofe well explaed o sudes. All fudaeals rased are coo o classcal AC aches ad ca e easly well adaped o her odelg ad sulao. Oly sulao resuls are provdedd hs work. s plaed o carry ou expereal seup o ore assess he prese fraework sudy. REFERENCES Fg. Curre of he rasforer secodary followg a 50-V sep chage of he prary volage wh he secodary wdgs shor-crcu [] P. C. Krause, O. Wasyczuz, S.D. Sudhoff, Aalyss of Elecrcal Machery, EEE Press, New York, 995 [] R. C. Dorf, J. A. Svooda, Elecrc Crcus, 7 h Eo, Joh Wley ad Sos, 006 [3] Jaes W. Nlso, Susa A. Redel, Elecrc Crcus, 6 h Eo PrecHall, 00 [4] J. Davd rw, R. Mark Nels, Basc Egeerg Crcus Aalyss, Joh Wley ad Sos, 005 [5] Sephe J. Chapa, Elecrc Machery Fudaeals, Thrd Eo, McGraw-Hll, 998 [6] S.A. Nasar, Hadook of Elecrc Maches, McGRAW-H, New York, USA, 990 [7] Chee-Mu Og,, Dyac Sulaos of Elecrc Machery usg Mala/Sulk, Prece Hall, 997, [8] P. M Aderso, A. A. Fouad, Power Syse Corol ad Saly, secod eo, EEE Power Egeerg Socey, EEE PRESS, 00 [9] T. Marez-Mar, Sae Space Forulao for Crcus Aalyss EEE Trasacos o Educao, vol.53, No.3, pp , Augus, 00 Fg.3 Curre of he rasforer prary followg a 0-V susodal volage of he prary wdg wh he secodary wdgs shor-crcu
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 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 informationReal-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF
EDA/DIT6 Real-Tme Sysems, Chalmers/GU, 0/0 ecure # Updaed February, 0 Real-Tme Sysems Specfcao Problem: Assume a sysem wh asks accordg o he fgure below The mg properes of he asks are gve he able Ivesgae
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 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 information14. Poisson Processes
4. Posso Processes I Lecure 4 we roduced Posso arrvals as he lmg behavor of Bomal radom varables. Refer o Posso approxmao of Bomal radom varables. From he dscusso here see 4-6-4-8 Lecure 4 " arrvals occur
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 informationθ = θ Π Π Parametric counting process models θ θ θ Log-likelihood: Consider counting processes: Score functions:
Paramerc coug process models Cosder coug processes: N,,..., ha cou he occurreces of a eve of eres for dvduals Iesy processes: Lelhood λ ( ;,,..., N { } λ < Log-lelhood: l( log L( Score fucos: U ( l( log
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 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 informationDetermination of Antoine Equation Parameters. December 4, 2012 PreFEED Corporation Yoshio Kumagae. Introduction
refeed Soluos for R&D o Desg Deermao of oe Equao arameers Soluos for R&D o Desg December 4, 0 refeed orporao Yosho Kumagae refeed Iroduco hyscal propery daa s exremely mpora for performg process desg ad
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 informationContinuous 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 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 informationThe algebraic immunity of a class of correlation immune H Boolean functions
Ieraoal Coferece o Advaced Elecroc Scece ad Techology (AEST 06) The algebrac mmuy of a class of correlao mmue H Boolea fucos a Jgla Huag ad Zhuo Wag School of Elecrcal Egeerg Norhwes Uversy for Naoales
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 informationQuantum Mechanics II Lecture 11 Time-dependent perturbation theory. Time-dependent perturbation theory (degenerate or non-degenerate starting state)
Pro. O. B. Wrgh, Auum Quaum Mechacs II Lecure Tme-depede perurbao heory Tme-depede perurbao heory (degeerae or o-degeerae sarg sae) Cosder a sgle parcle whch, s uperurbed codo wh Hamloa H, ca exs a superposo
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 informationFor the plane motion of a rigid body, an additional equation is needed to specify the state of rotation of the body.
The kecs of rgd bodes reas he relaoshps bewee he exeral forces acg o a body ad he correspodg raslaoal ad roaoal moos of he body. he kecs of he parcle, we foud ha wo force equaos of moo were requred o defe
More informationLinear Minimum Variance Unbiased Estimation of Individual and Population slopes in the presence of Informative Right Censoring
Ieraoal Joural of Scefc ad Research Pulcaos Volue 4 Issue Ocoer 4 ISSN 5-353 Lear Mu Varace Uased Esao of Idvdual ad Populao slopes he presece of Iforave Rgh Cesorg VswaahaN * RavaaR ** * Depare of Sascs
More informationTRANSIENT STABILITY ANALYSIS OF A MULTIMACHINE POWER SYSTEM USING MATLAB
. J. of ellge Copug ad Appled Sceces 38 TRANSNT STABLT ANALSS OF A MULTMACHN POWR SSTM USNG MATLAB * Sushaa Kuar Sehy, Bshalj Paul * Correspodg auhor: sksehy975@gal.co Absrac: MATLAB, s a regsered radeark
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 information2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission
/0/0 Topcs Power Flow Part Text: 0-0. Power Trassso Revsted Power Flow Equatos Power Flow Proble Stateet ECEGR 45 Power Systes Power Trassso Power Trassso Recall that for a short trassso le, the power
More information8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall
8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model
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 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 informationFALL HOMEWORK NO. 6 - SOLUTION Problem 1.: Use the Storage-Indication Method to route the Input hydrograph tabulated below.
Jorge A. Ramírez HOMEWORK NO. 6 - SOLUTION Problem 1.: Use he Sorage-Idcao Mehod o roue he Ipu hydrograph abulaed below. Tme (h) Ipu Hydrograph (m 3 /s) Tme (h) Ipu Hydrograph (m 3 /s) 0 0 90 450 6 50
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 informationRedundancy System Fault Sampling Under Imperfect Maintenance
A publcao of CHEMICAL EGIEERIG TRASACTIOS VOL. 33, 03 Gues Edors: Erco Zo, Pero Barald Copyrgh 03, AIDIC Servz S.r.l., ISB 978-88-95608-4-; ISS 974-979 The Iala Assocao of Chemcal Egeerg Ole a: www.adc./ce
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 informationCyclone. Anti-cyclone
Adveco Cycloe A-cycloe Lorez (963) Low dmesoal aracors. Uclear f hey are a good aalogy o he rue clmae sysem, bu hey have some appealg characerscs. Dscusso Is he al codo balaced? Is here a al adjusme
More informationThe Mean Residual Lifetime of (n k + 1)-out-of-n Systems in Discrete Setting
Appled Mahemacs 4 5 466-477 Publshed Ole February 4 (hp//wwwscrporg/oural/am hp//dxdoorg/436/am45346 The Mea Resdual Lfeme of ( + -ou-of- Sysems Dscree Seg Maryam Torab Sahboom Deparme of Sascs Scece ad
More informationChapter 8. Simple Linear Regression
Chaper 8. Smple Lear Regresso Regresso aalyss: regresso aalyss s a sascal mehodology o esmae he relaoshp of a respose varable o a se of predcor varable. whe here s jus oe predcor varable, we wll use smple
More informationStabilization of LTI Switched Systems with Input Time Delay. Engineering Letters, 14:2, EL_14_2_14 (Advance online publication: 16 May 2007) Lin Lin
Egeerg Leers, 4:2, EL_4_2_4 (Advace ole publcao: 6 May 27) Sablzao of LTI Swched Sysems wh Ipu Tme Delay L L Absrac Ths paper deals wh sablzao of LTI swched sysems wh pu me delay. A descrpo of sysems sablzao
More informationPRACTICAL CONSIDERATIONS IN HUMAN-INDUCED VIBRATION
PRACTICAL CONSIDERATIONS IN HUMAN-INDUCED VIBRATION Bars Erkus, 4 March 007 Itroducto Ths docuet provdes a revew of fudaetal cocepts structural dyacs ad soe applcatos hua-duced vbrato aalyss ad tgato of
More informationSolution set Stat 471/Spring 06. Homework 2
oluo se a 47/prg 06 Homework a Whe he upper ragular elemes are suppressed due o smmer b Le Y Y Y Y A weep o he frs colum o oba: A ˆ b chagg he oao eg ad ec YY weep o he secod colum o oba: Aˆ YY weep o
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 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 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 information-distributed random variables consisting of n samples each. Determine the asymptotic confidence intervals for
Assgme Sepha Brumme Ocober 8h, 003 9 h semeser, 70544 PREFACE I 004, I ed o sped wo semesers o a sudy abroad as a posgraduae exchage sude a he Uversy of Techology Sydey, Ausrala. Each opporuy o ehace my
More informationVoltage Sensitivity Analysis in MV Distribution Networks
Proceedgs of he 6h WSEAS/IASME I. Cof. o Elecrc Power Sysems, Hgh olages, Elecrc Maches, Teerfe, Spa, December 6-8, 2006 34 olage Sesvy Aalyss M Dsrbuo Neworks S. CONTI, A.M. GRECO, S. RAITI Dparmeo d
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 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 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 informationThe Bernstein Operational Matrix of Integration
Appled Mahemacal Sceces, Vol. 3, 29, o. 49, 2427-2436 he Berse Operaoal Marx of Iegrao Am K. Sgh, Vee K. Sgh, Om P. Sgh Deparme of Appled Mahemacs Isue of echology, Baaras Hdu Uversy Varaas -225, Ida Asrac
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 informationStability Criterion for BAM Neural Networks of Neutral- Type with Interval Time-Varying Delays
Avalable ole a www.scecedrec.com Proceda Egeerg 5 (0) 86 80 Advaced Corol Egeergad Iformao Scece Sably Crero for BAM Neural Neworks of Neural- ype wh Ierval me-varyg Delays Guoqua Lu a* Smo X. Yag ab a
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 informationThe textbook expresses the stock price as the present discounted value of the dividend paid and the price of the stock next period.
ublc Affars 974 Meze D. Ch Fall Socal Sceces 748 Uversy of Wscos-Madso Sock rces, News ad he Effce Markes Hypohess (rev d //) The rese Value Model Approach o Asse rcg The exbook expresses he sock prce
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 informationInterval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X
ECON 37: Ecoomercs Hypohess Tesg Iervl Esmo Wh we hve doe so fr s o udersd how we c ob esmors of ecoomcs reloshp we wsh o sudy. The queso s how comforble re we wh our esmors? We frs exme how o produce
More informationAML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending
CUIC SLINE CURVES Cubc Sples Marx formulao Normalsed cubc sples Alerae ed codos arabolc bledg AML7 CAD LECTURE CUIC SLINE The ame sple comes from he physcal srume sple drafsme use o produce curves A geeral
More informationContent. A Strange World. Clustering. Introduction. Unsupervised Learning Networks. What is Unsupervised Learning? Unsupervised Learning Networks
Usupervsed Learg Newors Cluserg Coe Iroduco Ipora Usupervsed Learg NNs Hag Newors Kohoe s Self-Orgazg Feaure Maps Grossberg s AR Newors Couerpropagao Newors Adapve BAN Neocogro Cocluso Usupervsed Learg
More informationRandom Generalized Bi-linear Mixed Variational-like Inequality for Random Fuzzy Mappings Hongxia Dai
Ro Geeralzed B-lear Mxed Varaoal-lke Iequaly for Ro Fuzzy Mappgs Hogxa Da Depare of Ecooc Maheacs Souhweser Uversy of Face Ecoocs Chegdu 674 P.R.Cha Absrac I h paper we roduce sudy a ew class of ro geeralzed
More informationMoments of Order Statistics from Nonidentically Distributed Three Parameters Beta typei and Erlang Truncated Exponential Variables
Joural of Mahemacs ad Sascs 6 (4): 442-448, 200 SSN 549-3644 200 Scece Publcaos Momes of Order Sascs from Nodecally Dsrbued Three Parameers Bea ype ad Erlag Trucaed Expoeal Varables A.A. Jamoom ad Z.A.
More informationThe textbook expresses the stock price as the present discounted value of the dividend paid and the price of the stock next period.
coomcs 435 Meze. Ch Fall 07 Socal Sceces 748 Uversy of Wscos-Madso Sock rces, News ad he ffce Markes Hypohess The rese Value Model Approach o Asse rcg The exbook expresses he sock prce as he prese dscoued
More informationEngineering Calculation of Double Closed-loop Controller Parameters of Chopper Cascade Speed System Shiyang Su
d Ieraoal Coferece o Advaces Mechacal Egeerg ad Idusral Iformacs (AMEII 6) Egeerg Calculao of ouble Closed-loop Coroller Parameers of Chopper Cascade Speed Sysem Shyag Su School of Norh Cha Elecrc Power
More informationAsymptotic Regional Boundary Observer in Distributed Parameter Systems via Sensors Structures
Sesors,, 37-5 sesors ISSN 44-8 by MDPI hp://www.mdp.e/sesors Asympoc Regoal Boudary Observer Dsrbued Parameer Sysems va Sesors Srucures Raheam Al-Saphory Sysems Theory Laboraory, Uversy of Perpga, 5, aveue
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 informationProbability Bracket Notation and Probability Modeling. Xing M. Wang Sherman Visual Lab, Sunnyvale, CA 94087, USA. Abstract
Probably Bracke Noao ad Probably Modelg Xg M. Wag Sherma Vsual Lab, Suyvale, CA 94087, USA Absrac Ispred by he Drac oao, a ew se of symbols, he Probably Bracke Noao (PBN) s proposed for probably modelg.
More information4. THE DENSITY MATRIX
4. THE DENSTY MATRX The desy marx or desy operaor s a alerae represeao of he sae of a quaum sysem for whch we have prevously used he wavefuco. Alhough descrbg a quaum sysem wh he desy marx s equvale o
More informationResponse of MDOF systems
Response of MDOF syses Degree of freedo DOF: he nu nuber of ndependen coordnaes requred o deerne copleely he posons of all pars of a syse a any nsan of e. wo DOF syses hree DOF syses he noral ode analyss
More informationMixed Integral Equation of Contact Problem in Position and Time
Ieraoal Joural of Basc & Appled Sceces IJBAS-IJENS Vol: No: 3 ed Iegral Equao of Coac Problem Poso ad me. A. Abdou S. J. oaquel Deparme of ahemacs Faculy of Educao Aleadra Uversy Egyp Deparme of ahemacs
More informationSome Different Perspectives on Linear Least Squares
Soe Dfferet Perspectves o Lear Least Squares A stadard proble statstcs s to easure a respose or depedet varable, y, at fed values of oe or ore depedet varables. Soetes there ests a deterstc odel y f (,,
More informationInterval Regression Analysis with Reduced Support Vector Machine
Ieraoal DSI / Asa ad Pacfc DSI 007 Full Paper (July, 007) Ierval Regresso Aalyss wh Reduced Suppor Vecor Mache Cha-Hu Huag,), Ha-Yg ao ) ) Isue of Iforao Maagee, Naoal Chao Tug Uversy (leohkko@yahoo.co.w)
More informationLeast squares and motion. Nuno Vasconcelos ECE Department, UCSD
Leas squares ad moo uo Vascocelos ECE Deparme UCSD Pla for oda oda we wll dscuss moo esmao hs s eresg wo was moo s ver useful as a cue for recogo segmeao compresso ec. s a grea eample of leas squares problem
More informationInternational Journal Of Engineering And Computer Science ISSN: Volume 5 Issue 12 Dec. 2016, Page No.
www.jecs. Ieraoal Joural Of Egeerg Ad Compuer Scece ISSN: 19-74 Volume 5 Issue 1 Dec. 16, Page No. 196-1974 Sofware Relably Model whe mulple errors occur a a me cludg a faul correco process K. Harshchadra
More informationFundamentals of Speech Recognition Suggested Project The Hidden Markov Model
. Projec Iroduco Fudameals of Speech Recogo Suggesed Projec The Hdde Markov Model For hs projec, s proposed ha you desg ad mpleme a hdde Markov model (HMM) ha opmally maches he behavor of a se of rag sequeces
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 informationBianchi Type II Stiff Fluid Tilted Cosmological Model in General Relativity
Ieraoal Joural of Mahemacs esearch. IN 0976-50 Volume 6, Number (0), pp. 6-7 Ieraoal esearch Publcao House hp://www.rphouse.com Bach ype II ff Flud led Cosmologcal Model Geeral elay B. L. Meea Deparme
More informationMicrowave-induced Thermoacoustic Imaging for Radio-frequency Tumor Ablation: a Hybrid FDTD Modeling and Experimental study
Mcrowave-duced Theroacousc Iagg for Rado-frequec Tuor Ablao: a Hbrd FDTD Modelg ad Epereal sud Yg Deg ad Mark Golkowsk Depare of Elecrcal Egeerg Depare of Boegeerg Uvers of Colorado Dever Dowow EE Naoal
More informationA Parametric Kernel Function Yielding the Best Known Iteration Bound of Interior-Point Methods for Semidefinite Optimization
Aerca Joural of Appled Maheacs 6; 4(6): 36-33 hp://wwwscecepublshggroupco/j/aja do: 648/jaja6468 ISSN: 33-43 (Pr); ISSN: 33-6X (Ole) A Paraerc Kerel Fuco Yeldg he Bes Kow Ierao Boud of Ieror-Po Mehods
More informationFault Tolerant Computing. Fault Tolerant Computing CS 530 Probabilistic methods: overview
Probably 1/19/ CS 53 Probablsc mehods: overvew Yashwa K. Malaya Colorado Sae Uversy 1 Probablsc Mehods: Overvew Cocree umbers presece of uceray Probably Dsjo eves Sascal depedece Radom varables ad dsrbuos
More informationMathematical Formulation
Mahemacal Formulao The purpose of a fe fferece equao s o appromae he paral ffereal equao (PE) whle maag he physcal meag. Eample PE: p c k FEs are usually formulae by Taylor Seres Epaso abou a po a eglecg
More informationFully Fuzzy Linear Systems Solving Using MOLP
World Appled Sceces Joural 12 (12): 2268-2273, 2011 ISSN 1818-4952 IDOSI Publcaos, 2011 Fully Fuzzy Lear Sysems Solvg Usg MOLP Tofgh Allahvraloo ad Nasser Mkaelvad Deparme of Mahemacs, Islamc Azad Uversy,
More informationOutline. Queuing Theory Framework. Delay Models. Fundamentals of Computer Networking: Introduction to Queuing Theory. Delay Models.
Oule Fudaeals of Couer Neworg: Iroduco o ueug Theory eadg: Texboo chaer 3. Guevara Noubr CSG5, lecure 3 Delay Models Lle s Theore The M/M/ queug syse The M/G/ queug syse F3, CSG5 Fudaeals of Couer Neworg
More informationNumerical 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 informationOutline. Computer Networks: Theory, Modeling, and Analysis. Delay Models. Queuing Theory Framework. Delay Models. Little s Theorem
Oule Couer Newors: Theory, Modelg, ad Aalyss Guevara Noubr COM35, lecure 3 Delay Models Lle s Theore The M/M/ queug syse The M/G/ queug syse F, COM35 Couer Newors Lecure 3, F, COM35 Couer Newors Lecure
More informationFourth Order Runge-Kutta Method Based On Geometric Mean for Hybrid Fuzzy Initial Value Problems
IOSR Joural of Mahemacs (IOSR-JM) e-issn: 2278-5728, p-issn: 29-765X. Volume, Issue 2 Ver. II (Mar. - Apr. 27), PP 4-5 www.osrjourals.org Fourh Order Ruge-Kua Mehod Based O Geomerc Mea for Hybrd Fuzzy
More informationSquare law expression is non linear between I D and V GS. Need to operate in appropriate region for linear behaviour. W L
MOS Feld-Effec Trassrs (MOSFETs ecure # 4 MOSFET as a Amplfer k ( S Square law express s lear bewee ad. Need perae apprprae reg fr lear behaur. Cpyrgh 004 by Oxfrd Uersy Press, c. MOSFET as a Amplfer S
More informationInternet Appendix to: Idea Sharing and the Performance of Mutual Funds
Coes Iere Appedx o: Idea harg ad he Perforace of Muual Fuds Jule Cujea IA. Proof of Lea A....................................... IA. Proof of Lea A.3...................................... IA.3 Proof of
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 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 informationComplete Identification of Isotropic Configurations of a Caster Wheeled Mobile Robot with Nonredundant/Redundant Actuation
486 Ieraoal Joural Sugbok of Corol Km Auomao ad Byugkwo ad Sysems Moo vol 4 o 4 pp 486-494 Augus 006 Complee Idefcao of Isoropc Cofguraos of a Caser Wheeled Moble Robo wh Noreduda/Reduda Acuao Sugbok Km
More informationThird handout: On the Gini Index
Thrd hadout: O the dex Corrado, a tala statstca, proposed (, 9, 96) to measure absolute equalt va the mea dfferece whch s defed as ( / ) where refers to the total umber of dvduals socet. Assume that. The
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 informationFresnel Equations cont.
Lecure 12 Chaper 4 Fresel quaos co. Toal eral refleco ad evaesce waves Opcal properes of meals Laer: Famlar aspecs of he eraco of lgh ad maer Fresel quaos r 2 Usg Sell s law, we ca re-wre: r s s r a a
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 informationApplication of the stochastic self-training procedure for the modelling of extreme floods
The Exremes of he Exremes: Exraordary Floods (Proceedgs of a symposum held a Reyjav, Icelad, July 000). IAHS Publ. o. 7, 00. 37 Applcao of he sochasc self-rag procedure for he modellg of exreme floods
More informationA Hidden Markov Model-based Forecasting Model for Fuzzy Time Series
A Hdde Markov Model-based Forecasg Model for e Seres SHENG-UN LI YI-CHUNG CHENG Isue of Iforao Maagee Naoal Cheg Kug Uversy awa R.O.C. Depare of Idusral ad Iforao Maagee Naoal Cheg Kug Uversy awa R.O.C.
More informationContinuous Indexed Variable Systems
Ieraoal Joural o Compuaoal cece ad Mahemacs. IN 0974-389 Volume 3, Number 4 (20), pp. 40-409 Ieraoal Research Publcao House hp://www.rphouse.com Couous Idexed Varable ysems. Pouhassa ad F. Mohammad ghjeh
More informationIMPROVED PORTFOLIO OPTIMIZATION MODEL WITH TRANSACTION COST AND MINIMAL TRANSACTION LOTS
Vol.7 No.4 (200) p73-78 Joural of Maageme Scece & Sascal Decso IMPROVED PORTFOLIO OPTIMIZATION MODEL WITH TRANSACTION COST AND MINIMAL TRANSACTION LOTS TIANXIANG YAO AND ZAIWU GONG College of Ecoomcs &
More informationStabilization of Networked Control Systems with Variable Delays and Saturating Inputs
Sablzao of Newored Corol Syses wh Varable Delays ad Saurag Ipus M. Mahod Kaleybar* ad R. Mahboob Esfaa* (C.A.) Absrac:I hs paper, less coservave codos for he syhess of sac saefeedbac coroller are roduced
More informationCONTROLLABILITY OF A CLASS OF SINGULAR SYSTEMS
44 Asa Joural o Corol Vol 8 No 4 pp 44-43 December 6 -re Paper- CONTROLLAILITY OF A CLASS OF SINGULAR SYSTEMS Guagmg Xe ad Log Wag ASTRACT I hs paper several dere coceps o corollably are vesgaed or a class
More informationDynamic Models DIgSILENT GmbH Synchronous Machine Model
Dyamc Moels DIgSILENT GmbH Sychroous Mache Moel Dyamc Moels 1 Sychroous Mache Moel Rou Roor: Dyamc Moels 3 Sychroous Mache Moel Sale Roor: Dyamc Moels 4 3 Dyamc Moels 5 Isaaeous / q-vecors = ( ( ( ( c
More informationNumerical Solution of Fractional Differential Equations by Using the Jacobi Polynomials
J. Basc. Appl. Sc. Res., (54894-49,, TexRoad Publcao ISSN 9-434 Joural of Basc ad Appled Scefc Research www.exroad.co Nuercal Soluo of Fracoal Dffereal Equaos by Usg he Jacob Polyoals Seyedahad Behesh,
More informationElectrical 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 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 informationELEC 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 informationStrong Convergence Rates of Wavelet Estimators in Semiparametric Regression Models with Censored Data*
8 The Ope ppled Maheacs Joural 008 8-3 Srog Covergece Raes of Wavele Esaors Separaerc Regresso Models wh Cesored Daa Hogchag Hu School of Maheacs ad Sascs Hube Noral Uversy Huagsh 43500 Cha bsrac: The
More information