Adaptive Control of Shunt Active Power Filter Using Interval Type-2 Fuzzy Logic Controller
|
|
- Teresa Warren
- 6 years ago
- Views:
Transcription
1 Proeengs of the 4 th Interntonl Mle Est Power Systems onferene (MEPO ), ro Unersty, Egypt, Deemer 9-2, 2, Pper ID 59. Apte ontrol of Shnt Ate Power Flter Usng Interl Type-2 Fzzy og ontroller G. M. Srhn A. A. Elkosy A. A. Hgrs n Sh. M. S Deprtment of Eletrl Engneerng tehnology Deprtment of Eletrl Power Engneerng Deprtment of Physs ylotron Proet Hgh Insttte of Tehnology Flty of Engneerng ler Reserh entre Unersty of enh Unersty of ro Egyptn Atom Energy Athorty (EAEA) enh 52, Egypt ro 26, Egypt Ao Zl, ro 759, Egypt elkosy@yhoo.om {shrf97&shokryms}@yhoo.om Astrt Ths pper proposes new pte ontrol tehne for three phse shnt te power flter (SAPF) sng nterl type-2 fzzy log ontroller. The synhronos referene frme (SRF) s hosen to ompre the performne of the te flter sng PI ontroller, type- fzzy n Interl type-2 fzzy ontrollers (IT2F). Desgn proere of the IT2F s explore n etl. An effent type reton metho lle s e-tn metho s se nste of the most ommonly se methos whh ges lose form expresson n rees the omptng power neee to mplement tme reton. We pply the nterl type-2 fzzy ontroller to ontrol the lne rrents, otpt D oltge n lso to ree the nflene of prmeter nertnty. Smlton reslts lerly show tht the propose ontroller hs goo performne n rost to the prmeter nertntes ompre wth other nonlner strteges. Inex Terms Shnt te power flter, Apte ontrol, Interl type -2 fzzy ontrol. I. ITRODUTIO The nrese se of nonlner los sh s retfer ees n TV, oens n teleommntons power systems n ommerl lghtng systems se exesse netrl rrents, hrmon neton n rete power ren n the power system. They reslt n poor power ftor n lower effeny of power system. onentonlly, psse flters were the hoe for the elmnton of hrmons n the mproement of power ftor. These psse flters he the sntges of lrge sze, resonne n fxe ompenston. In the lst oples of ees the onept of te power flters hs een ntroe n mny pltons he ppere on ths set. A omprehense reew of te power flters onfgrtons, ontrol strteges, seleton of omponents n other relte sses re gen n [-4]. Most APF s re se on oltge sore nerters e to ts hgher effeny. Aorng to PWM ontrol lws, the D lnk oltge of nerter mst e kept onstnt n orer tht APF n ompenste hrmons n rete power effetely. ese of smple rthmet n hgh rellty n stey stte, PI ontroller gns extense pplton n the D-lnk oltge ontrol system. t PI ontroller epens on ext mthemtl moel of system n hs poor rostness n trnsent stte. It tens to se D oltge oershoot n nrsh sore rrent, whh wll le to proteton or een mge when APF s plnge nto. The oltge oershoot n nrsh rrent he een the ottlenek whh restrts the eelopment of APF [6]. Howeer onentonl PI ontrollers were se to generte referene rrent templte. The PI ontroller reres prese lner mthemtl moels, whh re fflt to otn n fls to perform stsftorly ner prmeter rtons, nonlnerty, lo strne, et. Reently, Fzzy log ontrollers (Fs) he generte goo el of nterest n ertn ppltons. The ntges of Fs oer onentonl ontrollers re tht they o not nee n rte mthemtl moel, they n work wth mprese npts, n hnle non-lnerty, n they re more rost thn onentonl nonlner ontrollers [5-8]. The onept of type-2 fzzy sets (T2FSs) ws frst ntroe y Zeh [9] s n extenson of the onept of well known ornry fzzy sets, type- fzzy sets. Typlly, T2FSs he the hrtersts of gres of memershp fzzy themseles []. Very smlr to TIF strtrlly, T2F lso ontns the omponents s: fzzfer, rle se, fzzy nferene engne, n otpt proessor whh omprses type reer n efzzfer s shown n fg.. Fg. The rhtetre of nterl type-2 (IT2) fzzy logl system (FS) Smlr to TF, the fzzfer n T2F mps npts nto type-2 fzzy sets. The otpt proessor nles the typereer n the efzzfer; whle the former otpts Tl FS n the ltter otpts rsp nmer. T2Fs n e se t the nertn rmstnes when the memershp gres n not e etermne extly. As type-2 fzzy set s hrterze y fzzy memershp fnton,.e., the memershp gre for eh element lso s fzzy set n [,], nlke type-l fzzy set, where the memershp gre s rsp nmer n [,] []. 25
2 The memershp fntons of type-2 fzzy sets re three mensonl n nle footprnt of nertnty (FOU), whh s the new thr menson of type-2 fzzy sets n the footprnt of nertnty proes n tonl egree of freeom to mke t possle to retly moel n hnle nertntes []. ormlly, T2Fs he hrtersts of ntense omptton e to hey ompttonl lo t the step of type reng proess. To smplfy the omptton the seonry memershp fntons n e set to ether zero or one n lle nterl type-2 FSs [2]. The type reton metho tht s most ommonly se n onnton wth IT2 FSs s the Krnk-Menel (K-M) terte lgorthm. Reently seerl moftons to the K-M type reer he een propose []. The enhnements reslte n 9% reton n the omptton tme. Another type reton strtegy s the nertnty ons metho [4]. Inner n oter on sets re ntroe to estmte the nertnty n n IT2 FS, resltng n n pproxmte type ree set. In spte of the reent reserh reslts there s stll room for reng the omptng power neee to mplement tme reton. Frthermore theoretl nlyss of IT2 FS s hllengng ese the exstng type reton lgorthm n t e expresse n lose form. In ths pper new type reton metho lle e-tn metho ws se to ree the orer of the type of IT2 fzzy sets whh ges lose form expresson for the otpt of n IT2 FS. The mn e of ths metho s to ree the orer of n IT2 FS y sng the ertl sle, nste of the wy representton [5]. Ths pper s orgnze s follows. In seton II the shnt te flter ws moele n smlte n omprson ws me etween PI n fzzy ontrollers. In seton III n IT2F ws esgne step y step n etl. In seton IV the smlton reslts of IT2F n type- fzzy ontrollers ws presente. The onlsons re rwn n seton V. II. OTRO OF SAPF USIG PI AD FUZZY OTROERS The ompenston hrtersts of shnt te power flter re se on netng rrent of the sme mgnte wth reerse phse of the lo hrmons n/or the rete omponents t the pont of onneton to nel them. The ompenston pltes of shnt te power flter nle: -rrent hrmons neton. -Rete power proton. -Resonne mpng. -Unlne lo rrent ompenston. The synhronos referene frme (SRF) s hosen to ompre the performne of the PI n fzzy ontrollers e to ts hgher effeny ese the SRF se ontroller s lmost nsenste to spply oltge stortons, sne ny non omponents n the SRF n e ttrte to hrmons n stey stte. Fg. 2 Shnt te power flter wth oltge sore nerter A. Moelng of SAPF sng PI ontroller The shnt te flter shown n fg. 2 s moele n the sttonry frme s esre n [6-8]: R t 2n Where:, R n n () n n R, : Two of the three phse nerter rrents. : D lnk oltge. n n : The resstne n ntne of the flter.,, : The three phse swthng stte fntons. n,, : Three phse spply oltges. : The ptne of the D lnk. In orer to onert nttes from the sttonry frme to the rottng frme the trnsformton mtrx s neessry: 2π 4π os( wt) os( wt ) os( wt ) 2 2π 4 T sn( ) sn( ) sn( π wt wt wt ) (2) o A phse loke loop (P) sheme s se to etermne the ngle for the referee frme orentton sh tht n Vˆ ssmng the spply oltge s gen 2 y (). Vˆ os( wt) Vˆ os( wt 2π / ) Vˆ os( wt 4π / ) n () 254
3 In stey stte ontons the fnmentl omponents of nttes s onstnt. To mpose the hrmons on the nerter of fg. 2 t s neessry to seprte the onstnt rrent omponent from the oslltng omponent. Ths oslltng omponent wth reerse phse s the referene of the ontroller. The AF n e moele n the referene frme from () wth the m of reng ontrol omplexty f ompre wth moelng n the sttonry referene frme. The ynm moel whh s esre n [6-9] s otne from etons () n (2) resltng n: R n w R (4) n w t n n Where n n n re the swthng stte fntons of the system n the referene frme n w s the spply nglr freeny. The frst n seon lnes n e wrtten s: R w n t (5) R w n t (6) et n e the rght se terms of etons (5) n (6): w (7) n w n (8) The terms n re the respete otpts of the two rrent PI ontrollers: ~ ~ k k t (9) p ~ ~ k k t p () Where ~ n ~ re the rrent errors. Wth etons (7) n (8) the swthng stte fntons () n (2) n e fon. n n w w w () (2) The terms n w n () n (2) re lle ompenston prts n n e e or not to the otpt of the PI ontrollers. The thr eton of the moel (4) s gen y: n n () t Ths eton n e wrtten s: n n (4) In orer to ontrol the D oltge, PI ontroller s se: k ~ k ~ p t (5) Where ~ s the oltge error. The ontrol effort s otne from eton (6). n n o (6) n n Assmng tht the rrent loop s el, the followng propertes hol: n (7) n Assmng the spply oltge s gen y eton () the trnsformton of n to oorntes yels / 2Vˆ n. As reslt: n, n Vˆ. 2 The ontrol effort n e pproxmte y: 2 o (8) Vˆ The nstntneos te power s: p. In orer to mntn the D lnk oltge, the -xs rrent n (8) mst e e to ese the rrent oesn t ontrte for the te power to mntn the D lnk oltge.. Moelng of SAPF sng Fzzy ontroller The PI ontrollers re reple y fzzy ontrollers s shown n fg. 4. The nternl strtre of the fzzy ontroller s shown n fg.. The fzzy ontroller s hrterze s follows: ) Seen fzzy sets for npt n otpt. 2) Trnglr memershp fntons for smplty. ) Fzzfton sng ontnos nerse of sorse. 4) Defzzfton sng the heght metho. Fg. The rhtetre of type- (T) fzzy logl system (FS) 255
4 Fg. 4 Shemt grm of SAPF wth SRF se PI ontroller The memershp fntons re hosen to e trnglr ese the prmetr fntonl esrpton of trnglr MF s most eonom one. Trnglr MF re preferre ese of ther strkng smplty, sol theoretl ss n ese of omptton, sne they re symmetrl n he zero le t some pont wy from ther entre. For ths work seen nel spe trnglr memershp fntons he een hosen for representng eh lngst rle, M, S, Z, PS, PM, P. The nmer of lngst rles s retly relte to the ry of pproxmtng fntons n plys n mportnt role for pproxmtng the nonlner npt otpt mppng. As the nmer of lngst rles nreses the otpt of the fzzy ontroller eomes lner fnton of the npt. To tre off etween ry n omplexty, throgh rgoros smlton stes t hs een fon tht seen memershp fntons re sffent to proe esre reslts n rere n. Reng the nmer of MFs wll proe mproper reslts t some n, whle nresng the nmer of MFs wll proe ely e to more ompttonl steps rere [2].. Smlton of SAPF Usng PI n fzzy ontroller The system of fg. 4 ws smlte wth MATA n SmPower systems enronment. The smlton moel s shown n fg. 5. Fgs. 6-7 show the smlton reslts of the propose SAPF sng the PI n fzzy ontrollers. The prmeters selete for smlton stes re: V s 2 V (rms), R.2 ohm, 2 mh, R ohm n 2 mh. It s ler from smlton reslts tht the trnsent response of the D oltge s etter for the fzzy ontroller ompre to the PI ontroller n tkes shorter tme to reh the stey stte. The THD of sore rrent efore ompenston s 25.8% n fter ompenston s 4.7% n 4.% respetely whh omply wth the IEEE-59 stnrs. Dsrete, Ts 5e-6 s pow erg Is (A) If (A) V () I (A) A sn_os _to_ sn_os _to_ sn_os _to_. Fre Sn_os wt Dsrete Vrtl P 5 Hz A V Three-Phse V. Mes. Termntor Termntor5 I A Termntor Termntor2 Termntor Fo2Hz Hgh pss flter Termntor4 - R A I g A - Votge sore nerter -K- -K- A R lo - Unontrolle retfer t e-6 s On/Off Dely 27 onstnt PI PI Ulph Plses Uet Dsrete SV PWM - V 6 V ref. De De2 PI /z Unt Dely /z lph sn_os et - to lph-et Fg. 5 The smlton moel n SmPower systems enronment Fg. 6 The response of shnt te power flter sng PI ontroller 256
5 Is (A) If (A) V () Fg. 7 The response of shnt te power flter sng fzzy ontroller III. DESIG OF IT2 FUZZY OGI OTROER The rhtetre of nterl type-2 (IT2) fzzy logl system (FS) s shown n fg. : A. Fzzfer In ths pper we opt two npt one otpt F to ntroe the esgn proere of IT2 F tht s we onser error n rte of error sle to the sme rnge s the npts of the propose gonl type F. The trnglr memershp fntons for error n rte of error re shown n fg. 8. The fzzy lels re negte g (), negte mem (M), negte smll (S), zero (Z), poste smll (PS), poste mem (PM), poste g (P). A sngleton fzzfton wth mnmm t-norm s se n ths work. (). Rle se The rles for IT2 FS re stll remne the sme s tht of T FS. t ther nteeents n onseents wll e represente y IT2 fzzy sets. The gonl rle tle s smmrze n tle I whh s onstrte for the senro n whh error n hnge of error pproh zero wth fst rse tme n wthot oershoot. TAE OTRO RUE TAE ė e M S Z PS PM P Z S M M PS Z S M M S PM PS Z S S M Z PM PM PS Z S M M PS P PM PS PS Z S M PM P P PM PM PS Z S P P P P P PM PS Z. Fzzy nferene engne The nferene engne omnes ll fre rles n ges nonlner mppng from npt IT2 FS to otpt IT2 FS. In the nferene engne mltple nteeents re omne sng the meet operton. D. Type reton n Defzzfton The e-tn metho s formlte sng the ertl sle representton of n IT2 fzzy set (FS). For n IT2 FS, eh ertl sle s n emee type- fzzy set tht n e esly type ree. Ths hrterst motte the proposton tht omptton oerhe n e ree y frst type reng eh ertl sle, efore efzzfng the resltng type- fzzy set to otn the entro of the IT2 FS. The e-tn metho sppose tht the ontnos ertl sle s esretze nto n ponts, n then the entro of eh ertl sle n e ompte s follows: n n n / (9) n For n IT2 FSs, the erge of ertl sle tht omprses n srete ponts s the men of the pper n lower MF, Hene, n ( ) (2) n 2 Where n re the pper n lower gres of the type ree set. The entro (or the efzzfe le) of the nterl type-2 fzzy set n e expresse s: () Fg. 8 The memershp fntons for () error n hnge of error n () otpt () 257
6 x x / x [.5 ( ) /.5 ( ) x x Eton (2) shows tht the e-tn formlton of the rsp otpt of n IT2 FS epens only on the lower n pper ons of ts foot prnt of nertnty. As tertons re no longer neee to llte the efzzfe le of n IT2 FS, the omptton ost of type reton my e gretly ree. Another ntge s (2) s lose form eton. After tht the efzzfton s one y the heght metho whh s mnly se on mltplton, ton n strton. IV. SIMUATIO RESUTS The smlton of shnt te power flter s rre n MATA/SmPower Systems enronment. The smlton moel s s shown n fg. 5 t replng the PI ontroller wth the IT2 fzzy ontroller. Fgs. 9- show the trnsent response of the D oltge sng IT2 fzzy ontroller n T fzzy ontroller when the nertnty R n re ntroe wth 5 % of the nomnl le. The smlton reslts lerly show tht no hnge n the trnsent response sng IT2 fzzy ontroller n spte of the nertnty whle the T fzzy ontroller hs smll stey stte error. V () V () () () (2) V () () Fg. 9 The trnsent response of D oltge sng IT2 fzzy ontroller wth () nertn () nertn R () nertn R n nertn 5 V () V () V () () () () Fg. The trnsent response of D oltge sng T fzzy ontroller wth () nertn () nertn R () nertn R n nertn 258
7 V. OUSIO A shnt te power flter ws moele n smlte n the synhronos referene frme. The smlton reslts ssre tht the reglton performne for the fzzy ontroller s etter ompre to the PI ontroller. The THD of sore rrent efore ompenston s 25.8% n fter ompenston s well elow 5%, the hrmons lmt mpose y the IEEE-59 stnrs. A new pte ontrol tehne sng IT2 Fzzy ontroller s propose. Smlton reslts show tht IT2F s etter thn the T fzzy ontroller n s rost gnst prmeter rton n rle nertnty. Reently, T2FSM (type-2 fzzy slng moe ontrol) n T2F (type-2 fzzy nerl network) he propose to mnmze the nmer of rles n ree the omplexty of nlyss whh wll e reporte lter. AKOWEDGMET The thors wol lke to thnk ylotron Proet (EAEA-Egypt) n Trk PET entre (Ao Aemy Unersty- Fnln) for fnng ths reserh proet n for prong the fltes for ong the reserh. Thnks lso re e to Dr. Hesels (Dretor of Ao Aemy Unersty) n Prof. Dr. Usm Sek (Dretor of ylotron Proet) for spportng ths work. REFEREES [] Akg, ew trens n te flters for power ontonng, IEEE Trns. Ins. Appl., ol. 2, no. 6, pp. 2-22, o./de [2]. Sngh, K. Al-H n A. hnr, A reew of te flters for power lty mproement, IEEE Trns. In. Ele., ol. 46, no. 5, pp.96-97, Ot [] M. El-Hrok, M. K. Drwsh n P. Meht, Ate power flters: reew, IEE Pro. Ele. Power Appl., ol. 47, no. 5, pp. 4-4, Sept 22. [4] F. Z. Peng n D.J. Ams, Hrmon sores n flterng pprohesseres/prllel, te/psse n ther omne power flters, IEEE IAS, pp , 999. [5] T.-S. ee, K.-S. Tee n M.-S. hong, Fzzy terte lernng ontrol for three phse shnt te power flter, IEEE Inter. Symp. on In. Ele., pp , ISIE 26, n. [6] X. Dngo, H., W. We, Sty on fzzy ontroller wth selfstle ftor of te power flter, 2n Annl onf. of the IEEE Instrl Ele. Soety, pp , IEO 26 [7]. Shrmeel, M. R. Mohn, G. Um n J. skrn, Fzzy log se ontrolle three phse shnt te flter for lne hrmons reton, Jornl of ompter Sene, ol., no.2, pp. 76-8, 27. [8] S. K. Jn, P. Agrwl n H. O. Gpt, Fzzy log ontrolle shnt te power flter for power lty mproement, IEE Pro. Ele. Power Appl., ol. 49, no. 5, pp. 7-28, Sept. 22. [9]. A. Zeh, The onept of lngst rle n ts pplton to pproxmte resonng I, Inforn. S., ol. 8, pp , 975. [].. Krnk, J. M. Menel, n Q. ng, Type-2 fzzy log systems, IEEE Trns. Fzzy Systems, ol. 7, pp , De [] J. Menel n R. John, "Type-2 fzzy sets me smple, IEEE Trns. Fzzy Systems, ol., pp. 7-27, Apr. 22. [2] Q. ng n J. Menel, Interl type-2 fzzy log systems: theory n esgn, IEEE Trns. Fzzy Systems, ol. 8, pp , Ot. 2. [] D. W. n J. M. Menel, Enhne Krnk-Menel lgorthms For nterl type-2 fzzy sets n systems, Pro. In Pro. AFIPS, Sn Dego, A, pp , 27. [4] D. W. n J. M. Menel, Unertnty ons n ther ses n the esgn of nterl type-2 fzzy log systems, IEEE Trns. Fzzy Systems, ol., no. 5, pp , 22 [5] M. e, W. Wn Tn, Towrs n effent type reton metho for nterl type -2 fzzy log systems, IEEE Inter. onf. Fzzy Systems, pp , 28 [6]. Menlek, K. Al-H, F. Fneh n. A. Dessnt, onlner ontrol strtegy pple to shnt te power flter, Pro. IEEE Power Eletrons Spelst onf., pp , PES2, Jne 2. [7]. Menlek, K. Al-H, Moellng n nonlner ontrol of shnt te power flter n the synhronos referene frme, IEEE IHQP 2, pp. -5, 2. [8]. Menlek, K. Al-H, F. Fneh n. A. Dessnt, onlner ontrol tehne to enhne ynm performne of shnt te power flter, Pro. IEE Ele. Power App., ol. 4, pp. 7-79, Jly 2. [9]. R. mong, M.. lnt, F. A. S. ees n G. M. S. Azeeo, Implementton of gtl sgnl proessor ontrolle shnt te flter, Eletrl power lty n Utlzton Jornl, ol. XII, no.2, pp. 5-4, 26. [2] G. K. Sngh, A. K. Sngh n R. Mtr, A smple fzzy log se rost te power flter for hrmons mnmzton ner rnom lo rton, Eletr Power System Reserh, ol. 77, pp. -, 27. [2] P.-Z. n,.-m. n,.-f. Hs n T.-T. ee, Type-2 fzzy ontroller esgn sng slng-moe pproh for pplton to D-D onerters, IEE Pro. Ele. Power Appl., ol. 52, no. 6, pp , o. 25 [22] M.-Y. Hso n T.-H. S., Desgn of nterl type-2 fzzy log ontroller, IEEE Interntonl onferene on Systems, Mn n yernets, pp , Ot. 26, Tpe, Twn. 259
Censored Models. Li Gan. April, Examples of censored regression: (1) stadium attendance= min(attendance *, capacity)
Censore Moels L Gn Aprl 8 mples o ensore regresson: stm ttenne mn(ttenne pt) Here gropng (those oservtons wth ttenne rtes less thn one vs those oservtons wth ttenne rtes t one) re lerl se on oserve tors.
More informationRepresenting Curves. Representing Curves. 3D Objects Representation. Objects Representation. General Techniques. Curves Representation
Reresentng Crves Fole & n Dm, Chter Reresentng Crves otvtons ehnqes for Ojet Reresentton Crves Reresentton Free Form Reresentton Aromton n Interolton Prmetr Polnomls Prmetr n eometr Contnt Polnoml Slnes
More information" = #N d$ B. Electromagnetic Induction. v ) $ d v % l. Electromagnetic Induction and Faraday s Law. Faraday s Law of Induction
Eletromgnet Induton nd Frdy s w Eletromgnet Induton Mhel Frdy (1791-1867) dsoered tht hngng mgnet feld ould produe n eletr urrent n ondutor pled n the mgnet feld. uh urrent s lled n ndued urrent. The phenomenon
More informationTrigonometry. Trigonometry. Curriculum Ready ACMMG: 223, 224, 245.
Trgonometry Trgonometry Currulum Rey ACMMG: 223, 22, 2 www.mthlets.om Trgonometry TRIGONOMETRY Bslly, mny stutons n the rel worl n e relte to rght ngle trngle. Trgonometry souns ffult, ut t s relly just
More informationPerformance Comparison of Three-Phase Shunt Active Power Filter Algorithms
Amern Journ of Apped Senes 5 (11): 144-148, 008 ISSN 1546-939 008 Sene Pubtons Performne Comprson of Three-Phse Shunt Ate Power Fter Agorthms 1 Moeykutty George nd Krtk Prd Bsu 1 Futy of Engneerng nd Tehnoogy,
More informationAbhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no
hlsh Clsses Clss- XII Dte: 0- - SOLUTION Chp - 9,0, MM 50 Mo no-996 If nd re poston vets of nd B respetvel, fnd the poston vet of pont C n B produed suh tht C B vet r C B = where = hs length nd dreton
More informationTrigonometry. Trigonometry. Solutions. Curriculum Ready ACMMG: 223, 224, 245.
Trgonometry Trgonometry Solutons Currulum Redy CMMG:, 4, 4 www.mthlets.om Trgonometry Solutons Bss Pge questons. Identfy f the followng trngles re rght ngled or not. Trngles,, d, e re rght ngled ndted
More informationVECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors
1. Defnton A vetor s n entt tht m represent phsl quntt tht hs mgntude nd dreton s opposed to slr tht ls dreton.. Vetor Representton A vetor n e represented grphll n rrow. The length of the rrow s the mgntude
More informationNovel Modulation Schemes Minimizing the Switching Losses of Sparse Matrix Converters
Novel Modlton Shemes Mnmzng the Swthng Losses of Sprse Mtrx Converters Johnn W. Kolr nd Frnk Shfmester ETH Zrh, Power Eletron Systems Lortory ETH Zentrm / ETL H, Physkstr. 3, CH-9 Zrh/SWTZERLAND Tel.:
More informationAveraging Level Control of Multiple Tanks: A Passivity Based Approach
Avergng Level Control of Mltple Tnks: A Pssvty Bse Approch Dnel Sbrbro Deprtment of Electrcl Engneerng, Unvers e Concepcón, Concepcón,, Chle. In collborton wth Romeo Orteg Lbortore es Sgn et Systèmes mes,
More informationA Control Strategy for Unified Power Quality Conditioner
A Control Strtegy for Unfed Power Qulty Condtoner Luís FC Montero, Student memer, IEEE, Murío Aredes, Memer, IEEE, nd João A Moor Neto COPPE/UFJ, Eletrl Engneerng Progrm POox 68504, o de Jnero, rzl E-ml:
More informationNazatulsyimaMohdYazid a, Kim GaikTay b, Wei King Tiong c, Yan Yee Choy d, AzilaMdSudin e &CheeTiongOng f
The Method o Lnes solton o the ored Kortewe-de Vres-Brers Eqton (KdVB) NtlsymMohdYd Km kty We Kn Ton Yn Yee Choy d AlMdSdn e &CheeTonOn lty o Sene Tehnoloy nd Hmn Development UnverstTn Hssen Onn Mlys 8
More informationLecture 6: Coding theory
Leture 6: Coing theory Biology 429 Crl Bergstrom Ferury 4, 2008 Soures: This leture loosely follows Cover n Thoms Chpter 5 n Yeung Chpter 3. As usul, some of the text n equtions re tken iretly from those
More informationNovel Three-Phase AC-DC-AC Sparse Matrix Converter Part I: Derivation, Basic Principle of Operation, Space Vector Modulation, Dimensioning
Novel Three-Phse -D- Sprse Mtrx onverter Prt : Dervton, s Prnple of Operton, Spe Vetor Modlton, Dmensonng ETH Zrh Power Eletron Systems Lortory ETH Zentrm/ETL H Physkstr., H-89 Zrh/Swtzerlnd kolr@lem.ee.ethz.h
More informationModule 3: Element Properties Lecture 5: Solid Elements
Modue : Eement Propertes eture 5: Sod Eements There re two s fmes of three-dmenson eements smr to two-dmenson se. Etenson of trngur eements w produe tetrhedrons n three dmensons. Smr retngur preeppeds
More informationSynchronous Generator Modeling Using SimuLink
ynhronou Genertor Moelng Ung mun Outlne ner Moel Ung Eulent Crut ner Moel Ung Emee Mt Nonlner Moel Eulent Crut on Ax From we get m m l m t t m l r ) ( t t m l ) ( t t m l ) ( Eulent Crut on Ax From we
More informationCubic Stress Tensor Sensor for Robot Skins
SICE Annul Conferene 00 August 0-, 00, The Unversty Eletro-Communtons, Jpn Cu Stress Tensor Sensor for Root Skns Shohe Kyot n Hroyuk Shno Deprtment of Informton Physs n Computng, The Unversty of Tokyo,
More informationThe Schur-Cohn Algorithm
Modelng, Estmton nd Otml Flterng n Sgnl Processng Mohmed Njm Coyrght 8, ISTE Ltd. Aendx F The Schur-Cohn Algorthm In ths endx, our m s to resent the Schur-Cohn lgorthm [] whch s often used s crteron for
More informationLearning Enhancement Team
Lernng Enhnement Tem Worsheet: The Cross Produt These re the model nswers for the worsheet tht hs questons on the ross produt etween vetors. The Cross Produt study gude. z x y. Loong t mge, you n see tht
More informationA New Method for Solving Fuzzy Volterra Integro-Differential Equations
Astrln Jornl of Bsc n Apple Scences, 5(4: 54-64, 2 ISS 99-878 A ew Metho for Solvng Fzzy Volterr Integro-Dfferentl Eqtons T. Allhvrnloo, 2 A. Amrtemoor, M. Khezerloo, S. Khezerloo Deprtment of Mthemtcs,
More informationDynamics of Linked Hierarchies. Constrained dynamics The Featherstone equations
Dynm o Lnke Herrhe Contrne ynm The Fethertone equton Contrne ynm pply ore to one omponent, other omponent repotone, rom ner to r, to ty tne ontrnt F Contrne Boy Dynm Chpter 4 n: Mrth mpule-be Dynm Smulton
More informationMCA-205: Mathematics II (Discrete Mathematical Structures)
MCA-05: Mthemts II (Dsrete Mthemtl Strutures) Lesson No: I Wrtten y Pnkj Kumr Lesson: Group theory - I Vette y Prof. Kulp Sngh STRUCTURE.0 OBJECTIVE. INTRODUCTION. SOME DEFINITIONS. GROUP.4 PERMUTATION
More informationRank One Update And the Google Matrix by Al Bernstein Signal Science, LLC
Introducton Rnk One Updte And the Google Mtrx y Al Bernsten Sgnl Scence, LLC www.sgnlscence.net here re two dfferent wys to perform mtrx multplctons. he frst uses dot product formulton nd the second uses
More informationOverview of Generic HVDC-MMC Control under Unbalanced Grid Conditions
Overvew of Gener HVDMM ontrol uner Unlne Gr ontons Anton Stepnov, Hn S, Jen Mhserejn, Aurélen Wtré AstrtThs pper presents summry of gener Moulr Multlevel onverter (MM) ontrol tehnues tht re pplle uner
More informationDesign of a Three Phase Active Power Filter with Sliding Mode Control and Energy Feedback
Deg f Three Phe Ate Pwer Flter wth lg Me trl Eergy Feek M. Nyerr, T. Nk Atrt Nler le l three he etwrk rete hr le. Ate e flter re e fr elt r ret f thee effet. Pe flter he e ltt. Fr exle, they re ege ly
More informationAC/DC/AC Converters: Two-Level and Multilevel VSI
Sortes Ersmus Visit A/D/A onerters: Two-Leel nd Multileel VSI Josep Pou Antoni Aris Pge 1 Sortes Ersmus Visit Outline 1. Two-Leel Inerter 2. Multileel Inerters - sde H-Bridge Inerter - Flying-pitor Inerter
More informationORTHOGONAL APPROXIMATELY HARMONIC PROJECTION FOR FACE RECOGNITION
Journl of heoretl n Apple Informton ehnology 5 th Novemer 202. Vol. 45 No. 2005-202 JAI & LLS. All rghts reserve. ISSN: 992-8645 www.tt.org E-ISSN: 87-395 ORHOGONAL APPROXIMAELY HARMONIC PROJECION FOR
More informationGENERATING REFERENCE CURRENT AND VOLTAGE CONTROL OF STATIC COMPENSATOR DURING VOLTAGE SAGS
GENERATING REFERENCE CURRENT AND VOLTAGE CONTROL OF STATIC COMPENSATOR DURING VOLTAGE SAGS Thmeem Ansr R PG sholr, power systems engneerng, Dept. of eletrl nd eletrons engneerng J.J ollege of engneerng
More informationIntermediate Math Circles Wednesday 17 October 2012 Geometry II: Side Lengths
Intermedite Mth Cirles Wednesdy 17 Otoer 01 Geometry II: Side Lengths Lst week we disussed vrious ngle properties. As we progressed through the evening, we proved mny results. This week, we will look t
More informationINTRODUCTION TO COMPLEX NUMBERS
INTRODUCTION TO COMPLEX NUMBERS The numers -4, -3, -, -1, 0, 1,, 3, 4 represent the negtve nd postve rel numers termed ntegers. As one frst lerns n mddle school they cn e thought of s unt dstnce spced
More informationLecture 7 Circuits Ch. 27
Leture 7 Cruts Ch. 7 Crtoon -Krhhoff's Lws Tops Dret Current Cruts Krhhoff's Two ules Anlyss of Cruts Exmples Ammeter nd voltmeter C ruts Demos Three uls n rut Power loss n trnsmsson lnes esstvty of penl
More informationNON-DETERMINISTIC FSA
Tw o types of non-determinism: NON-DETERMINISTIC FS () Multiple strt-sttes; strt-sttes S Q. The lnguge L(M) ={x:x tkes M from some strt-stte to some finl-stte nd ll of x is proessed}. The string x = is
More informationSIMPLE NONLINEAR GRAPHS
S i m p l e N o n l i n e r G r p h s SIMPLE NONLINEAR GRAPHS www.mthletis.om.u Simple SIMPLE Nonliner NONLINEAR Grphs GRAPHS Liner equtions hve the form = m+ where the power of (n ) is lws. The re lle
More informationGrid Connected Renewable Energy Sources with Four Leg Inverter for Power Quality Improvement
Proeedngs of tonl onferene on omputng, Eletrl, Eletrons nd Sustnle Energy Systems Grd onneted Renewle Energy Soures wth Four Leg verter for Power Qulty Improvement Y.nthonmm 1.Tejsr 2 1PG Sholr, Deprtment
More informationOn Adaptive Control of Simulated Moving Bed Plants. Plants Using Comsol s Simulink Interface. Speaker: Marco Fütterer
daptve Smulated Movng ed Plants Usng Comsol s Smulnk Interfae Speaker: Maro Fütterer Insttut für utomatserungstehnk Otto-von-Guerke Unverstät Unverstätsplatz, D-39106 Magdeburg Germany e-mal: maro.fuetterer@ovgu.de
More informationInternational Journal of Pure and Applied Sciences and Technology
Int. J. Pure Appl. Sc. Technol., () (), pp. 44-49 Interntonl Journl of Pure nd Appled Scences nd Technolog ISSN 9-67 Avlle onlne t www.jopst.n Reserch Pper Numercl Soluton for Non-Lner Fredholm Integrl
More informationProving the Pythagorean Theorem
Proving the Pythgoren Theorem W. Bline Dowler June 30, 2010 Astrt Most people re fmilir with the formul 2 + 2 = 2. However, in most ses, this ws presented in lssroom s n solute with no ttempt t proof or
More informationPrinciple Component Analysis
Prncple Component Anlyss Jng Go SUNY Bufflo Why Dmensonlty Reducton? We hve too mny dmensons o reson bout or obtn nsghts from o vsulze oo much nose n the dt Need to reduce them to smller set of fctors
More informationA Dynamical Quasi-Boolean System
ULETNUL Uestăţ Petol Gze Ploeşt Vol LX No / - 9 Se Mtetă - otă - Fză l Qs-oole Sste Gel Mose Petole-Gs Uest o Ploest ots etet est 39 Ploest 68 o el: ose@-loesto stt Ths e oes the esto o ol theoetl oet:
More informationx=0 x=0 Positive Negative Positions Positions x=0 Positive Negative Positions Positions
Knemtc Quntte Lner Moton Phyc 101 Eyre Tme Intnt t Fundmentl Tme Interl Defned Poton x Fundmentl Dplcement Defned Aerge Velocty g Defned Aerge Accelerton g Defned Knemtc Quntte Scler: Mgntude Tme Intnt,
More informationPartially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism
CS294-40 Lernng for Rootcs nd Control Lecture 10-9/30/2008 Lecturer: Peter Aeel Prtlly Oservle Systems Scre: Dvd Nchum Lecture outlne POMDP formlsm Pont-sed vlue terton Glol methods: polytree, enumerton,
More informationCS 491G Combinatorial Optimization Lecture Notes
CS 491G Comintoril Optimiztion Leture Notes Dvi Owen July 30, August 1 1 Mthings Figure 1: two possile mthings in simple grph. Definition 1 Given grph G = V, E, mthing is olletion of eges M suh tht e i,
More information3. MODELING OF PARALLEL THREE-PHASE CURRENT-UNIDIRECTIONAL CONVERTERS 3. MODELING OF PARALLEL THREE-PHASE CURRENT-
3. MOEING OF PARAE THREE-PHASE URRENT-UNIIRETIONA ONERTERS 3. MOEING OF PARAE THREE-PHASE URRENT- UNIIRETIONA ONERTERS Ths chater eelos the moels of the arallel three-hase current-unrectonal swtch base
More informationThe DOACROSS statement
The DOACROSS sttement Is prllel loop similr to DOALL, ut it llows prouer-onsumer type of synhroniztion. Synhroniztion is llowe from lower to higher itertions sine it is ssume tht lower itertions re selete
More information18.06 Problem Set 4 Due Wednesday, Oct. 11, 2006 at 4:00 p.m. in 2-106
8. Problem Set Due Wenesy, Ot., t : p.m. in - Problem Mony / Consier the eight vetors 5, 5, 5,..., () List ll of the one-element, linerly epenent sets forme from these. (b) Wht re the two-element, linerly
More informationME306 Dynamics, Spring HW1 Solution Key. AB, where θ is the angle between the vectors A and B, the proof
ME6 Dnms, Spng HW Slutn Ke - Pve, gemetll.e. usng wngs sethes n nltll.e. usng equtns n nequltes, tht V then V. Nte: qunttes n l tpee e vets n n egul tpee e sls. Slutn: Let, Then V V V We wnt t pve tht:
More informationCHENG Chun Chor Litwin The Hong Kong Institute of Education
PE-hing Mi terntionl onferene IV: novtion of Mthemtis Tehing nd Lerning through Lesson Study- onnetion etween ssessment nd Sujet Mtter HENG hun hor Litwin The Hong Kong stitute of Edution Report on using
More information8 THREE PHASE A.C. CIRCUITS
8 THREE PHSE.. IRUITS The signls in hpter 7 were sinusoidl lternting voltges nd urrents of the so-lled single se type. n emf of suh type n e esily generted y rotting single loop of ondutor (or single winding),
More information7.2 Volume. A cross section is the shape we get when cutting straight through an object.
7. Volume Let s revew the volume of smple sold, cylnder frst. Cylnder s volume=se re heght. As llustrted n Fgure (). Fgure ( nd (c) re specl cylnders. Fgure () s rght crculr cylnder. Fgure (c) s ox. A
More informationI 3 2 = I I 4 = 2A
ECE 210 Eletril Ciruit Anlysis University of llinois t Chigo 2.13 We re ske to use KCL to fin urrents 1 4. The key point in pplying KCL in this prolem is to strt with noe where only one of the urrents
More informationFactorising FACTORISING.
Ftorising FACTORISING www.mthletis.om.u Ftorising FACTORISING Ftorising is the opposite of expning. It is the proess of putting expressions into rkets rther thn expning them out. In this setion you will
More informationNew Algorithms: Linear, Nonlinear, and Integer Programming
New Algorthms: ner, Nonlner, nd Integer Progrmmng Dhnnjy P. ehendle Sr Prshurmhu College, Tl Rod, Pune-400, Ind dhnnjy.p.mehendle@gml.om Astrt In ths pper we propose new lgorthm for lner progrmmng. Ths
More informationConcept of Activity. Concept of Activity. Thermodynamic Equilibrium Constants [ C] [ D] [ A] [ B]
Conept of Atvty Equlbrum onstnt s thermodynm property of n equlbrum system. For heml reton t equlbrum; Conept of Atvty Thermodynm Equlbrum Constnts A + bb = C + dd d [C] [D] [A] [B] b Conentrton equlbrum
More informationDirect Current Circuits
Eler urren (hrges n Moon) Eler urren () The ne moun of hrge h psses hrough onduor per un me ny pon. urren s defned s: Dre urren rus = dq d Eler urren s mesured n oulom s per seond or mperes. ( = /s) n
More informationElectrical Circuits II (ECE233b)
Eletril Ciruits (ECE2) Polyhse Ciruits Anestis Dounis The Uniersity of Western Ontrio Fulty of Engineering Siene ThreePhse Ciruits Blned three hse iruit: ontins three oltge soures tht re equl in mgnitude
More informationAppendix C Partial discharges. 1. Relationship Between Measured and Actual Discharge Quantities
Appendi Prtil dishrges. Reltionship Between Mesured nd Atul Dishrge Quntities A dishrging smple my e simply represented y the euilent iruit in Figure. The pplied lternting oltge V is inresed until the
More informationA Primer on Continuous-time Economic Dynamics
Eonomis 205A Fll 2008 K Kletzer A Primer on Continuous-time Eonomi Dnmis A Liner Differentil Eqution Sstems (i) Simplest se We egin with the simple liner first-orer ifferentil eqution The generl solution
More informationTELCOM 2130 Time Varying Queues. David Tipper Associate Professor Graduate Telecommunications and Networking Program University of Pittsburgh Slides 7
TELOM 3 Tme Vryng Queues Dvd Tpper Assote Professor Grdute Teleommuntons nd Networkng Progrm Unversty of Pttsburgh ldes 7 Tme Vryng Behvor Teletrff typlly hs lrge tme of dy vrtons Men number of lls per
More informationImplication Graphs and Logic Testing
Implition Grphs n Logi Testing Vishwni D. Agrwl Jmes J. Dnher Professor Dept. of ECE, Auurn University Auurn, AL 36849 vgrwl@eng.uurn.eu www.eng.uurn.eu/~vgrwl Joint reserh with: K. K. Dve, ATI Reserh,
More informationNeutrosophic Vague Set Theory
9 Netrosoph Vage Set Theory Shawkat lkhazaleh Department of Mathemats Falty of Sene and rt Shaqra Unersty Sad raba shmk79@gmal.om bstrat In 99 Ga and Behrer proposed the theory of age sets as an etenson
More informationParticle Physics. Michaelmas Term 2011 Prof Mark Thomson. Handout 3 : Interaction by Particle Exchange and QED. Recap
Prtile Physis Mihelms Term 2011 Prof Mrk Thomson g X g X g g Hnout 3 : Intertion y Prtile Exhnge n QED Prof. M.A. Thomson Mihelms 2011 101 Rep Working towrs proper lultion of ey n sttering proesses lnitilly
More informationHumidity Profiling with a VHF Wind Profiler and GPS Measurements
Humdty Proflng wth VHF Wnd Profler nd GPS esurements Vldslv Klus, Joël Vn Belen*, nd Yves Pontn* ( ) entre Ntonl de Reherhes étéorologues (NR), étéo Frne, Toulouse, Frne (*) Lortore de étéorologe Physue
More informationDefinition of Tracking
Trckng Defnton of Trckng Trckng: Generte some conclusons bout the moton of the scene, objects, or the cmer, gven sequence of mges. Knowng ths moton, predct where thngs re gong to project n the net mge,
More informationProject 6: Minigoals Towards Simplifying and Rewriting Expressions
MAT 51 Wldis Projet 6: Minigols Towrds Simplifying nd Rewriting Expressions The distriutive property nd like terms You hve proly lerned in previous lsses out dding like terms ut one prolem with the wy
More information1 This diagram represents the energy change that occurs when a d electron in a transition metal ion is excited by visible light.
1 This igrm represents the energy hnge tht ours when eletron in trnsition metl ion is exite y visile light. Give the eqution tht reltes the energy hnge ΔE to the Plnk onstnt, h, n the frequeny, v, of the
More informationMaintaining Mathematical Proficiency
Nme Dte hpter 9 Mintining Mthemtil Profiieny Simplify the epression. 1. 500. 189 3. 5 4. 4 3 5. 11 5 6. 8 Solve the proportion. 9 3 14 7. = 8. = 9. 1 7 5 4 = 4 10. 0 6 = 11. 7 4 10 = 1. 5 9 15 3 = 5 +
More informationCS 2204 DIGITAL LOGIC & STATE MACHINE DESIGN SPRING 2014
S 224 DIGITAL LOGI & STATE MAHINE DESIGN SPRING 214 DUE : Mrh 27, 214 HOMEWORK III READ : Relte portions of hpters VII n VIII ASSIGNMENT : There re three questions. Solve ll homework n exm prolems s shown
More informationCS 360 Exam 2 Fall 2014 Name
CS 360 Exm 2 Fll 2014 Nme 1. The lsses shown elow efine singly-linke list n stk. Write three ifferent O(n)-time versions of the reverse_print metho s speifie elow. Eh version of the metho shoul output
More informationDistance Measurement. Distance Measurement. Distance Measurement. Distance Measurement. Distance Measurement. Distance Measurement
IVL 1101 Surveying - Mesuring Distne 1/5 Distne is one of the most si engineering mesurements Erly mesurements were mde in terms of the dimensions of the ody very old wooden rule - Royl Egyptin uit uits
More informationTrigonometry Revision Sheet Q5 of Paper 2
Trigonometry Revision Sheet Q of Pper The Bsis - The Trigonometry setion is ll out tringles. We will normlly e given some of the sides or ngles of tringle nd we use formule nd rules to find the others.
More informationGeneralized Lorentz Transformation Allowing the Relative Velocity of Inertial Reference Systems Greater Than the Light Velocity
Generlzed Lorentz Trnsformton Allowng the Relte Veloty of Inertl Referene Systems Greter Thn the Lght Veloty Yu-Kun Zheng Memer of the Chnese Soety of Grtton nd Reltst Astrophyss Eml:yzheng@puorgn Astrt:
More informationEncoding of Pointers for Hardware Synthesis
Enong of Ponters for Hrwre Synthess Lu Sémér Govnn De Mhel lus@zur.stnfor.eu nnn@glleo.stnfor.eu Computer System Lortory, Stnfor Unversty Stnfor, CA 9405 ABSTRACT In the reent pst, susets of C n C++ hve
More informationBivariate drought analysis using entropy theory
Bvrte rought nlyss usng entropy theory Zengho Ho Deprtment of Bologl & Agrulturl Engneerng exs A & M Unversty, 3E Sotes Hll, 7 AMU, College Stton, exs 77843-7 Eml: hz7@tmu.eu Vjy P. Sngh Deprtment of Bologl
More informationVariable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia
Vrble tme mpltude mplfcton nd quntum lgorthms for lner lgebr Andrs Ambns Unversty of Ltv Tlk outlne. ew verson of mpltude mplfcton;. Quntum lgorthm for testng f A s sngulr; 3. Quntum lgorthm for solvng
More informationMath 426: Probability Final Exam Practice
Mth 46: Probbility Finl Exm Prctice. Computtionl problems 4. Let T k (n) denote the number of prtitions of the set {,..., n} into k nonempty subsets, where k n. Argue tht T k (n) kt k (n ) + T k (n ) by
More informationChapter Newton-Raphson Method of Solving a Nonlinear Equation
Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson
More informationSECTION A STUDENT MATERIAL. Part 1. What and Why.?
SECTION A STUDENT MATERIAL Prt Wht nd Wh.? Student Mteril Prt Prolem n > 0 n > 0 Is the onverse true? Prolem If n is even then n is even. If n is even then n is even. Wht nd Wh? Eploring Pure Mths Are
More informationEffectiveness and Efficiency Analysis of Parallel Flow and Counter Flow Heat Exchangers
Interntonl Journl of Applton or Innovton n Engneerng & Mngement (IJAIEM) Web Ste: www.jem.org Eml: edtor@jem.org Effetveness nd Effeny Anlyss of Prllel Flow nd Counter Flow Het Exngers oopes wr 1, Dr.Govnd
More informationProblem Set 4 Solutions
4 Eoom Altos of Gme Theory TA: Youg wg /08/0 - Ato se: A A { B, } S Prolem Set 4 Solutos - Tye Se: T { α }, T { β, β} Se Plyer hs o rte formto, we model ths so tht her tye tke oly oe lue Plyer kows tht
More informationCENTROID (AĞIRLIK MERKEZİ )
CENTOD (ĞLK MEKEZİ ) centrod s geometrcl concept rsng from prllel forces. Tus, onl prllel forces possess centrod. Centrod s tougt of s te pont were te wole wegt of pscl od or sstem of prtcles s lumped.
More informationAn Efficient Implementation of LZW Decompression in the FPGA
An Effent Implementton of LZW Deompresson n the FPGA Xn Zhou, Ysuk Ito, n Koj Nkno Deprtment of Informton Engneerng, Hroshm Unversty Kgmym --, Hgsh-Hroshm, Hroshm, 739-857 Jpn Astrt LZW lgorthm s one of
More informationNumbers and indices. 1.1 Fractions. GCSE C Example 1. Handy hint. Key point
GCSE C Emple 7 Work out 9 Give your nswer in its simplest form Numers n inies Reiprote mens invert or turn upsie own The reiprol of is 9 9 Mke sure you only invert the frtion you re iviing y 7 You multiply
More informationHysteresis Band Controller Based Vector Control Of PMSG For Wind Power
ISSN (Onlne) : 2319-8753 ISSN (Prnt) : 2347-671 Interntonl Journl of Innovtve Reserh n Sene, Engneerng nd Tehnology Volume 3, Spel Issue 3, Mrh 214 214 Interntonl Conferene on Innovtons n Engneerng nd
More informationSystem Validation (IN4387) November 2, 2012, 14:00-17:00
System Vlidtion (IN4387) Novemer 2, 2012, 14:00-17:00 Importnt Notes. The exmintion omprises 5 question in 4 pges. Give omplete explntion nd do not onfine yourself to giving the finl nswer. Good luk! Exerise
More informationSECONDAR Y - MRIEĦEL HALF-YEARLY EXAMINATIONS 2017/2018
Yer 9 PHYSICAL EDUCATION (OPTION) TIME: 1h 30mn SECONDAR Y - MRIEĦEL HALF-YEARLY EXAMINATIONS 2017/2018 Nme: Clss: Seton A Seton B Seton C Seton D TOTAL MARK 16 20 32 12 THEORY PAPER (80) 40% THEORY PAPER
More informationSection 2.1 Special Right Triangles
Se..1 Speil Rigt Tringles 49 Te --90 Tringle Setion.1 Speil Rigt Tringles Te --90 tringle (or just 0-60-90) is so nme euse of its ngle mesures. Te lengts of te sies, toug, ve very speifi pttern to tem
More informationDeflection of Beams by Means of Static Green Functions
Uniersl Jornl o ehnil Engineering : 9- DOI:.89/jme.. http://.hrp.org Deletion o ems y ens o Stti Green ntions. A-Hill Deprtment o ehnil Engineering Zrq Uniersity Jorn Copyright y thors ll rights resere.
More informationME 501A Seminar in Engineering Analysis Page 1
More oundr-vlue Prolems nd genvlue Prolems n Os ovemer 9, 7 More oundr-vlue Prolems nd genvlue Prolems n Os Lrr retto Menl ngneerng 5 Semnr n ngneerng nlss ovemer 9, 7 Outlne Revew oundr-vlue prolems Soot
More informationCARLETON UNIVERSITY. 1.0 Problems and Most Solutions, Sect B, 2005
RLETON UNIVERSIT eprtment of Eletronis ELE 2607 Swithing iruits erury 28, 05; 0 pm.0 Prolems n Most Solutions, Set, 2005 Jn. 2, #8 n #0; Simplify, Prove Prolem. #8 Simplify + + + Reue to four letters (literls).
More informationNow we must transform the original model so we can use the new parameters. = S max. Recruits
MODEL FOR VARIABLE RECRUITMENT (ontinue) Alterntive Prmeteriztions of the pwner-reruit Moels We n write ny moel in numerous ifferent ut equivlent forms. Uner ertin irumstnes it is onvenient to work with
More informationUseful R-norm Information Measure and its Properties
IOS Jorl of Eletros Coto Eeer (IOS-JECE) e-issn: 7-34- ISSN: 7-735Vole Isse (No - De 03) PP 5-57 DS oo Keert Uyy DKSr 3 Jyee Uersty of Eeer Teoloy AB o or 4736 Dstt G MP (I) Astrt : I te reset oto ew sefl
More informationCS311 Computational Structures Regular Languages and Regular Grammars. Lecture 6
CS311 Computtionl Strutures Regulr Lnguges nd Regulr Grmmrs Leture 6 1 Wht we know so fr: RLs re losed under produt, union nd * Every RL n e written s RE, nd every RE represents RL Every RL n e reognized
More informationSpacetime and the Quantum World Questions Fall 2010
Spetime nd the Quntum World Questions Fll 2010 1. Cliker Questions from Clss: (1) In toss of two die, wht is the proility tht the sum of the outomes is 6? () P (x 1 + x 2 = 6) = 1 36 - out 3% () P (x 1
More informationGENERALIZED OPERATIONAL RELATIONS AND PROPERTIES OF FRACTIONAL HANKEL TRANSFORM
S. Res. Chem. Commu.: (3 8-88 ISSN 77-669 GENERLIZED OPERTIONL RELTIONS ND PROPERTIES OF FRCTIONL NKEL TRNSFORM R. D. TYWDE *. S. GUDDE d V. N. MLLE b Pro. Rm Meghe Isttute o Teholog & Reserh Bder MRVTI
More informationNecessary and sucient conditions for some two. Abstract. Further we show that the necessary conditions for the existence of an OD(44 s 1 s 2 )
Neessry n suient onitions for some two vrile orthogonl esigns in orer 44 C. Koukouvinos, M. Mitrouli y, n Jennifer Seerry z Deite to Professor Anne Penfol Street Astrt We give new lgorithm whih llows us
More informationwhere the box contains a finite number of gates from the given collection. Examples of gates that are commonly used are the following: a b
CS 294-2 9/11/04 Quntum Ciruit Model, Solovy-Kitev Theorem, BQP Fll 2004 Leture 4 1 Quntum Ciruit Model 1.1 Clssil Ciruits - Universl Gte Sets A lssil iruit implements multi-output oolen funtion f : {0,1}
More informationGreedy Algorithms. Greedy Algorithms. Piyush Kumar
Gree s goo. Gree s rght. Gree works. Gree lrfes, uts through, n ptures the essene of the evolutonry sprt. - Goron Geko (Mhel Dougls) Anlyss of Algorthms Pyush Kumr (Leture 4: Greey Algorthms) Welome to
More informationENGI9496 Lecture Notes Multiport Models in Mechanics
ENGI9496 Moellng an Smulaton of Dynamc Systems Mechancs an Mechansms ENGI9496 Lecture Notes Multport Moels n Mechancs (New text Secton 4..3; Secton 9.1 generalzes to 3D moton) Defntons Generalze coornates
More informationa) Read over steps (1)- (4) below and sketch the path of the cycle on a P V plot on the graph below. Label all appropriate points.
Prole 3: Crnot Cyle of n Idel Gs In this prole, the strting pressure P nd volue of n idel gs in stte, re given he rtio R = / > of the volues of the sttes nd is given Finlly onstnt γ = 5/3 is given You
More informationMultiple view geometry
EECS 442 Computer vson Multple vew geometry Perspectve Structure from Moton - Perspectve structure from moton prolem - mgutes - lgerc methods - Fctorzton methods - Bundle djustment - Self-clrton Redng:
More information