Design of an electromagnetic-transducer energy harvester

Size: px
Start display at page:

Download "Design of an electromagnetic-transducer energy harvester"

Transcription

1 Journa of Physcs: Conference Seres PAPE OPEN ACCESS Desgn of an eecromagnec-ransducer energy harveser To ce hs arce: L Smeone e a 06 J. Phys.: Conf. Ser eaed conen - A non-near 3D prned eecromagnec vbraon energy harveser P Consannou and S oy - An mpanabe fudc vbraona energy harveser S Inoue, T Takahash, M Kumemura e a. - Eecrosac Vbraon Energy Harveser Pre-charged Wreessy a.45 GHz Z. Sadd, H. Takhedm, A. Karam e a. Vew he arce onne for updaes and enhancemens. Ths conen was downoaded from IP address on /04/09 a :06

2 Desgn of an eecromagnec-ransducer energy harveser L Smeone *, M Ghandch Tehran and S J Eo Insue of Sound and Vbraon esearch, Unversy of Souhampon, SO7 BJ, Uned Kngdom * Auhor o whom any correspondence shoud be addressed sn@soon.ac.uk Absrac. Ths paper presens he desgn and he manufacurng of an eecromagnecransducer energy harveser. The desgn consders he coupng beween he mechanca vbrang behavour, generaed by a base excaon, and he eecromagnec converson of energy, whch s amed o produce he voage across a oad ressance. The desgn s based on some consrans, whch are reaed o he characerscs of he shaker and amed o oban he bes performance of he devce. Curren ess show he presence frcon a ow npu eves, whch s assocaed wh he gearbox. The oupu voage and he harvesed power of he devce are suded expermenay for dfferen vaues of oad. By ncreasng he vaue of he oad from zero (shor crcu) o hgh vaues (open crcu) he swng ange ncreases, whe he harvesed power presens a peak assocaed wh he eecrca dampng. Aso, harmonc ess are run a resonance for dfferen eves of excaon o demonsrae he effec of he nonneary on he voage and he harvesed power. A nonnear oad ressance, s hen nroduced as par of fuure work. The am s o ry o ncrease he harvesed power wh respec o he near oad, a ow eve of excaon.. Inroducon In severa appcaons such as he moon of he sea waves [] and he roaon of he roor n hecopers [], he source of excaon s characersed by a narrow frequency bandwdh and, as a consequence, he excaon can be approxmaed as harmonc. Moreover, a harmonc anayss s aways he sarng pon o desgn a new mechanca sysem [, 3-9]. In order o ncrease he performance, over whch he vbraon energy harveser operaes, varous nonnear arrangemens were suggesed, parcuary usng nonnear sprngs [4, 0]. In conras, was receny shown ha he dynamc range of a vbraon energy harveser can be ncreased usng a nonnear damper. For exampe, Ghandch Tehran and Eo [5] nroduced he use of he cubc dampng for enargng he dynamc range of performance of an energy-harvesng devce. I was shown ha a shuned cubc ressance generaes cubc dampng no he sysem, whch s a fourh power funcon of he orque consan. The auhors demonsraed ha he harvesed power obaned by usng a cubc damper can be sgnfcany arger han ha of a near harvesng devce when exced a resonance, a ampudes beow s maxmum operaona m Y max. An mporan sudy was conduced n []. The auhors suded an energy harveser wh an nerna ressance n seres wh a cubc oad. I was found ha he nerna ressance provdes an upper m for he eecrca dampng when usng a nonnear oad. In addon, a hgh eves of excaon, he harveser behaves neary, whe, he behavour becomes Conen from hs work may be used under he erms of he Creave Commons Arbuon 3.0 cence. Any furher dsrbuon of hs work mus manan arbuon o he auhor(s) and he e of he work, journa caon and DOI. Pubshed under cence by Ld

3 more smar o a harveser wh purey nonnear dampng as ong as he npu eve decreases. However, no expermena resus were repored n hs sudy. Ths paper presens he desgn of a consraned eecromagnec ransducer energy harveser. The work s amed o show ha he use of a gearbox o ncrease he oupu voage aso ncreases he amoun of mechanca dampng no he sysem. Aso, he effec of a near oad on he oupu voage and he harvesed power s esmaed expermenay. The as secon s dedcaed o he nroducon of a nonnear oad, whch s amed o ncrease he harvesed power over he dynamc range of he harveser.. Desgn of roaona energy harveser The harveser s desgned o behave ke a snge-degree-of-freedom penduum, as shown n Fgure. The sysem can roae by means of a hnge on he ef sde, whe on he rgh sde, a umped mass M s aached o he beam of mass m. The momen of nera assocaed wh he roaon of he masses s ndcaed wh J. The sysem s conneced o he ground by a sprng k and s subjeced o a base excaon y hrough a shaker. The hnge s conneced o a gear box and a generaor, whch coupes he mechanca and he eecrca crcu. DC moor and gear box aso provde a arge amoun of mechanca dampng, ha can be sp n boh vscous c m and frcon τ s. The roaona moon s used o produce voage across a oad and, herefore, harvesed power. The devce s desgned o be harmoncay exced, even hough oher ypes of excaon w aso be consdered n he fuure. Assumng ha an eecrca generaor wh emf-consan K and an nerna resance s couped o he mechanca sysem, hen a curren s nduced n he eecrca crcu, when a swng roaon θ s produced by he base moon. The harvesng process can sar when a oad s aached o he ermnas of he moor. Fgure : Eecromagnec energy harveser The genera behavour of he couped sysem can be descrbed as J c sgn( ) k K m M d m s m y, K () Where m s he poson of he sprng wh respec o he hnge, s he engh of he beam and d s he engh of he cubod umped mass. The frs equaon s referred o he mechanca crcu, whe he second equaon, descrbes he dynamcs of he eecrca crcu, n whch ony he effec of he nerna ressance and he oad ressance was consdered, and he capacy, as we as he nducance, were negeced snce hey do no affec he sysem a he frequency of neres. For harmonc base excaon y Y sn, he ampude of he anguar dspacemen Θ can be obaned by usng he harmonc baance mehod as ()

4 Θ Y m M d ω k Jω c c c m m 4τ ω s πθ (3) The erm 4 s represen he descrbng funcon of he couomb frcon. The coeffcens c s he conrbuon of he eecrca ressance o he vscous dampng and s K (4) c whe c s he eecrca vscous dampng produced by he oad ressance c K However, even hough hey boh generae dampng, c s responsbe for he harvesed power produced by he voage across he oad ressance, whe c conrbues o he dsspaons. For he energy harvesng, s we-known [] ha he power can be ncreased by seecng a arger mass, because, a resonance, he oupu ncreases as confrmed n equaon (3). However, n pracca appcaons, due o he maons on he hrow, he mass canno be as bg as one wans. Therefore, he desgn s usuay carred ou n he worse condons scenaro, where he sysem, exced a resonance f res a he maxmum npu ampude Y max, responses wh he maxmum hrow ϴ max... Consraned desgn As aforemenoned, he hrow s he man, bu no he ony, consran ha has o be respeced. The desgn of an energy harveser shoud ake no accoun he envronmen and he ype of excaon. In hs case, he envronmen represens he shaker, and he excaon s harmonc. Accordng o he characersc of he shaker, s chosen o have a harveser ha resonaes a 0 Hz. Ths vaue represens a compromse beween he performance of he shaker, whch canno provde he desred base dspacemen Y max beow 7 Hz, and he negry of he devce, whch s sressed a oo hgh frequency due o he presence of oher modes. The mposed consrans are he foowng: f res=0hz; ϴ max=5.5deg; ζ=0.07< /; m=/; d=/6; a/b=.5; The frs consran pons ou ha he resonance shoud no be hgh so ha he gearbox, moor or he oher componens of he assemby do no nerac wh he dynamcs of he harveser. A he same me, he desgn s consraned by he shaker, snce does no perform we a ow frequences. The consran mposed on he swng ange s o make sure ha he sprng behaves neary. If he swng ange s arge, he sprng s subjeced o an anguar dspacemen and can behave n a nonnear manner. The mporance of he dampng rao s hghghed n he hrd consran. I s known [] ha he mechanca dampng shoud be as sma as possbe o maxmze he harvesed power, because he power depends on he square of he swng dspacemen. Therefore, he sysem s forced o be underdamped. The vaue of 0.07 s chosen arbrary beow /, whch s he vaue over whch he second-order sysem does no resonae. The fourh consran s he poson of he sprng m, whch s (5) 3

5 paced aong he axa engh of he beam, n parcuar a haf of he beam engh. If m=, he sffness s very ow and hen sprng can show nonnear behavour. On he oher hand, f m<</, he sffness becomes very hgh o manan he resonance a 0Hz, and hs may affec he negry of he srucure, snce energy woud be ransmed o he connecon beween he beam and he gearbox. The dmenson d of he umped mass shoud no be oo arge o avod fexura modes a ow frequency, bu, a he same me, can ncrease he swng ange, and, herefore, he oupu voage. The as consran ensures smar modes (verca and horzona bendng modes) are no cose o each oher n frequency. The frs agebrac equaon s referred o he resonance frequency f res as f res m 3 k m d M The maxmum hrow ϴ max akes pace a he naura frequency, when he maxmum npu s Y max. consdered Therefore, m MLω Y (7) n max Θmax 4τ c c c ω s m n πθmax For he dampng rao s hen mposed (6) c m c The poson m of he sprng s m The edge d of he added mass and he rao beween he cross secon dmensons a and b s J c n (8) (9) d 6, a. b 5 (0) There are 8 parameers o compue, whch are m, M, k,, m, d, a, b. However, he number of equaons s sx. Therefore, wo equaons are added, reang he mass of he beam and he umped mass wh her voumes. For he beam, s m ab () and for he umped mass s M d 3 () The npu parameers, whch ncude aso he characerscs of he DC moor (Maxon moor 70W), are presened n Tabe : 4

6 Tabe. Inpu desgn parameers Parameer Vaue Coupng coeffcen (K ) Nm/A Inerna ressance ( ) 0.68 Ω Load ressance ( ) 0.68 Ω mechanca dampng (c m) 0. Nsm Sac frcon (τ s) Nm Gear rao (G) 8 Inpu dspacemen (Y) m Densy (ρ) 7700 kg/m^3 In Tabe, he mechanca vscous dampng c m s known and prevousy esmaed by aachng a penduum o he gearbox and measurng he me decay. The ogarhmc decremen mehod s hen apped o he frs perods of oscaon (avodng he frcon) and he dampng s compued. The vaue of he esmaed dampng ncudes he dampng of he gearbox, he moor and penduum, whch s no par of he devce. However, hs approxmae vaue s used for smuaons. The vaue of he sac frcon s esmaed separaey wh a sac es. An L-shaped nner hexagona spanner s fxed o he gear box, and weghs are added o he edge un he wegh of he mass s hgher han he sac frcon. I s we-known ha here exss an opmum oad ressance such ha he harvesed power s maxmzed. For consraned energy harveser, was demonsraed ha he opmum condon s acheved when he oad equas he nerna ressance [7, ]. Therefore, he harveser s desgned accordng o hs resu, herefore s mposed =, as shown n Tabe. By sovng he prevous agebrac sysem, a he desgn parameers were compued and a CAD mode can be bu n Sodwork (Fgure (a)). However, durng he manufacurng process some of he parameers were vared and he desgn parameers were updaed accordng o hese modfcaons. The updaed se of parameers s he repored n Tabe. Tabe. Desgn parameers Parameer Beam mass (m) Lumped mass (M) Beam engh () Lumped mass engh (d) Sprng poson ( m) Sffness (k) Cross secon, (a) Cross secon, (b) Vaue 0.45 kg 0. kg 0.8 m 0.03 m 0.09 m 6700 N/m 0.08 m 0.0 m 5

7 (a) (b) Fgure : Cad mode (a) and es rg (b) of he energy harveser 3. Expermena characerscs of he energy harveser In hs secon, he frs ess conduced on he energy harveser are shown. They are amed o evauae he resonance of he sysem and he presence of nonneary. To do ha, a random whe nose npu sgna was sen o he ampfer by he sgna generaor. The power ampfer suppes power o he shaker, whch exces he harveser from he base. Two acceeromeers were fxed on he srucure, as shown n Fgure (b). One s paced on he umped mass, whch provdes he acceeraon of x, and one on he base, whch reads he acceeraon of y. The equpmen used s sed n Tabe 3: Tabe 3: Equpmen for he conduced ess Equpmen Type Ampfer 3.. Deecon of nonneary DaaPhyscs 30W Shaker Derrnron Vbraors VP4 Acceeromeer B&K charge ype 4375 Acquson sysem LMS Scadas 8 channes The frs se of es s carred ou o characerse he dynamcs of he harveser. A hs sage no eecrca oad s aached, and he devce s n open crcu condon ( ). In parcuar, a random excaon was mposed by he sgna generaor n he range 5-00Hz and 5 averages were aken. The number of specra was se a 048, whch mpes a frequency resouon of Hz and an acquson me of 0.48 s. Ths acquson parameers w be used aso for he random es dscussed n he nex subsecon. The es was conduced a dfferen npu voage eves o verfy wheher nonneary was presen. The absoue rasmssby, n Fgure 3(a), and he coeherence funcon, n Fgure 3(b), are used o check he precence of he nonneary a dfferen npu voages. The absoue ransmssby T a s obaned expermenay as he rao beween he acceeraons measured from he acceeromeer x and he acceeromeer y. x (3) T a y 6

8 (a) Absoue ransmssby 0 0 =0.0055V =0.03V =0.04V =0.08V Coherence xy (b) =0.0055V =0.03V =0.04V =0.08V Frequency [Hz] Fgure 3: Absoue ransmssby (a) and coherence funcon (b) for dfferen npu eves n he range 5-5 Hz From he absoue ransmssby n Fgure 3(a), can be seen ha he resonance s around 0,3Hz. Ths vaue s n agreemen wh he desgn esmaon and he sma varaon (0.3Hz) may be due o he varaon of some desgn parameers durng he manufacurng process. A a frs gance, he sysem s nonnear a ow npus due o frcon. The absoue ransmssby moves upwards when he voage s ncreased from (sod back ne) o 0.03 (dash back ne), and remans consan up o 0.04, whch means ha he sysem s near n hs range. A 0.08V, he ransmssby sars droppng agan due o a rang effec, whch generaes vbraon nsde he gearbox. In hs condon, a bgger ncrease of npu voage does no produce a arger roaon of he moor shaf, bu ony arger mpacs beween he gears. A confrmaon of he presence of he rang effec s gven aso by he coherence funcon. Indeed, by ookng a he back doed ne n Fgure 3(b), s evden how he coherence drops as a ceran amoun of he energy nroduced no he sysem s wased by he mpacs beween he eeh of he gearbox. 3.. Infuence of he eecrca crcu Frequency [Hz] The prevous anayses were made n open crcu condon, whch means ha, even hough a voage can be deeced from he moor, here s no curren and herefore he power s zero. On he oppose, n shor crcu, he oad ressance equas zero, and he curren s presen, bu he voage equas zero, herefore harvesed power s s zero. These wo condons are here anaysed ogeher wh a oad condon ( =Ω) by measurng he me response acceeraon x of he beam. Assumng, ha he eecrca crcu s near, expeced o see ha n open crcu he response s arger snce he eecrca dampng goes o zero n fac K (4) c cm cm On he oher hand, when he crcu s shored, he oad ressance s zero, and K K (5) c cm cm As shown by he equaon (3) and equaon (4), he eecrca dampng s nversey proporona o and herefore, by ncreasng he oad he dampng ends o reduce. The effec of he oad on he acceeraon x s shown n Fgure 4. 7

9 50 Open crcu = Shor crcu Acceeraon x [m/s ] 0 Fgure 4: Effec of he oad ressance he x-acceeraon for a base acceeraon Inpu =.9V From Fgure 4, can be noced how he oad ressor affecs he beam acceeraon. To oban hs resu, a harmonc es was performed a resonance, n open crcu (back sod ne), oad crcu (back dash ne) and shor crcu (back do ne). I s seen ha open and shor crcus represen exreme condons and, when a oad s aached, he response s paced n beween. I can be summarsed ha he response s expeced o have a monoone rend wh respec o he oad, as aso demonsraed n eraure [, 8, 9]. 4. Dynamc range of he harveser As aforemenoned, he advanage of mpemenng a cubc dampng s o ncrease he dynamc range. In oher words, when a harmoncay base exced harveser s exced a ow npu eves, he force (or he voage) acng on he damper (or he eecrc oad ressance) s ower wh respec o a near damper (or he eecrc oad ressance). Therefore, he response s arger and more harvesed power s provded. Indeed, recang he ampude of he swng ange n frequency doman, n equaon (7), s m 4 MLY s (6) n c c c m For underdamped srucures, he maxmum power s obaned a he naura frequency, and can be reaed o he swng ampude as: Pharv Ec (7) G c The harvesed power can be compued as he mean vaue of he dampng force, assocaed wh he oad ressance, and he veocy. When he oad s defned, he power ony depends on he square of he ampude of he swng ange mes he frequency of excaon and, s maxmum a resonance. 4.. Oupu voage and harvesed power Tme [s] The eecrc oad conrbues o he harvesed power. Therefore, he voage across he oad s reaed o he harvesed power. For a near oad ressance, he voage depends on he swng veocy and s gven as n 8

10 V GK (8) So, he nsananeous power depends on he square of voage as V (9) Pharv E In Fgure 5(a), he voage across he oad s measured a resonance for dfferen oad ressances, such as 0.3Ω, Ω, 0Ω and 00Ω. (a) (b) Fgure 5: Oupu voage (a) and nsananeous power (b) as a funcon of me for hree dfferen oad ressors - Inpu =.9V I can be seen ha, by ncreasng he oad, he voage across ends o go hgher. When he oad s zero (shor crcu), he voage across he oad s zero, even hough curren passes hrough he crcu. When he crcu s open, hus, an asympoc condon s acheved, whch corresponds o have no curren hrough he crcu, bu a non-zero voage. From Fgure 5(b), he nsananeous harvesed power s suded as a funcon of he oad. I can be seen ha from 0.3Ω o 0Ω, he power ncreases sharpy, and hen drops a 00Ω. As demonsraed [, 7-9,, ], he harvesed power usuay shows a peak of power n correspondence of an opmum vaue of oad. The reason s ha he eecrca dampng, shown n equaon (5), presens a peak vaue as a funcon of he oad, as shown n Fgure 6. However, snce K s sma, here s no a huge varaon of c and, herefore, he peak of power s hard o be deeced expermenay. 9

11 x 0-4 c [Nms] [] Fgure 6: Effec of he oad ressance on he vscous dampng 4.. Leve curves The response of he devce shoud be near n erms of boh swng ange and voage, when he oad s mposed, and he devce s harmoncay exced a dfferen npu eves. (a) -0-5 = (b) -0-0 = / max [db] V /V,max [db] Y/Y max [db] Y/Y max [db] Fgure 7: Leve curves of swng ange and voage across he oad for dfferen npu eves - Θ max=5.5deg and V max=v From Fgure 7, he sysem responds neary boh n swng ange and voage from -0dB onwards. Beow -0dB, nsead, he sysem shows nonnear behavour, whch s assocaed o he frcon. In parcuar, can be noced ha he harveser does no provde voage beow -db, because he excaon s sma and he amoun of dspacemen produced s wased by frcon. ecang equaon (8), he eve curves for he harvesed power are provded n Fgure 8. 0

12 0 = -0 P harv /P harv,max [db] Fgure 8: Leve curves of he harvesed power for dfferen npu eves - P max=w The presence of he frcon, deeced n he swng ange and n he voage, has a srong consequence on he harvesed power. The behavour s smar o wha shown n Fgure 7. The power s subjeced o a huge reducon as he npu eve s decreased. As a consequence, he eve of he npu shoud be kep as arge as possbe so ha a arge swng ange woud no be affeced by frcon. Obvousy he npu eve depends on how hgh he sauraon m of he ampfer s, and how arge s he dspacemen he shaker can provde Fuure work: mahemaca mode of a nonnear energy harveser The goa of mpemenng a nonnear oad s o ncrease he dynamc range of he harveser. By deberaey nroducng nonneary no he eecrca crcu, s expeced a varaon of he performance, especay a ow npu eves. The agebrac equaon descrbng he dynamcs of he eecrca crcu assumes now he foowng form K 3 (0) Ths equaon s a hrd-degree agebrac poynoma n wh hree souons, n whch ony one s rea, and s 6K z K z K z () Y/Y max [db] K z 3 4 7K z Anayses are beng curreny run on hs mode and w be presened n fuure pubcaons. 5. Concusons and fuure work The presen paper shows he desgn and he ess of an eecromagnec ransducer energy harveser, whch s amed o ransform he energy provded by he base moon no harvesed power. The desgn process was conduced by mposng consrans amed o guaranee he correc operave condons. Frs ess were conduced o anayse he dynamcs of he sysem n open crcu. andom whe nose npu was used o exce he sysem a dfferen npu eves. esus show nonnear behavour a ow npu eves, whch s assocaed wh he frcon nsde he gearbox and a hgh npu eves, reaed o rang phenomena. The effec of he oad s hen consdered. The devce was

13 subjeced o a harmonc base excaon a resonance, and he response of he sysem, n erms of swng acceeraon x and voage was suded a dfferen oads. The nroducon of an eecrca ressance acs on he vscous dampng of sysem, and resus n an nermedae condon beween open crcu ( ) and shor crcu ( =0). For harmonc excaon wh a consan npu eve of excaon, he voage across he oad and he swng ange end o ge arger as ong as he ressance ncreases, because he vscous dampng s nversey proporsona o. The deecon of he nonneary was aso nvesgaed wh varabe npu eves. Assumng a consan oad, he sysem was harmoncay esed a dfferen npus Y max. I was shown ha he presence of frcon many affecs he sysem a ow npu eves and he sysem behaves neary as ong as he npu ncreases. The nonneary was evden n he swng ange as we as he voage and he harvesed power. In parcuar, he harvesed power drops dramacay for ow npu eve, herefore he npu shoud be kep as hgh as possbe (accordng o he performance of he shaker and of he ampfer) o produce a hgher swng ange and o ncrease he effec of he coupng on he harvesed power. Fuure works w be focused on mprovng he desgn o oban a beer coupng beween he eecrca and he mechanca crcus and on he updang of he mahemaca mode, especay of he dampng force, and on a comparson wh he expermena resus. Aso, he expermena mpemenaon of a cubc oad represens a cruca sep o demonsrae he effecveness of he approach proposed n he as subsecon. 6. Aknowedgmen The work here presened was funded by he EPSC hrough he Engneerng Nonneary program (EP/K003836/). 7. eferences [] M Hendjanzadeh, Desgn and opmsaon of consraned eecromagnec energy harvesng devces, PhD dsseraon, Unversy of Souhampon, 04; [] T J Suon, S J Eo, M J Brennan, K H Heron, D A Jessop, Acve soaon of mupe srucura waves on a hecoper gearbox suppor sru, Journa of Sound and Vbraon, vo. 05, 8 0, 997; [3] C B Wams, B Yaes, Anayss of a mcro-eecrc generaor for mcrosysems, Sensors and Acuaors, 8, 996; [4] B P Mann, N D Sms, Energy harvesng from he nonnear oscaons of magnec evaon, Journa of Sound and Vbraon, vo. 39, , 009; [5] M Ghandch Tehran, S J Eo, Exendng he dynamc range of an energy harveser usng nonnear dampng, Journa of Sound and Vbraon, vo. 333, 63 69, 04; [6] L Smeone, M G Tehran, S J Eo, M. Hendjanzadeh, Nonnear dampng n an energy harvesng devce, ISMA 6h Inernaona Conference, 04; [7] N G Sephen, On energy harvesng from amben vbraon, Journa of Sound and Vbraon, , 006; [8] M Hendjanzadeh, S M Sharkh, S J Eo, M Moshref-Torba, Oupu power and effcency of eecromagnec energy harvesng sysems wh consraned range of moon, Journa of Smar Maeras and Srucures, vo., 5009 (0pp), 03; [9] M Hendjanzadeh, M Moshref-Torba, S M Sharkh, Consraned Desgn Opmzaon of Vbraon Energy Harvesng Devces, Journa of Vbraon and Acouscs, vo. 36, 6, 04; [0] O L Green, K Worden, K Aaah, N D Sms, The benefs of Duffng-ype nonneares and eecrca opmsaon of a mono-sabe energy harveser under whe Gaussan excaons, Journa of Sound and Vbraon, vo. 33, , 0; [] M Hendjanzadeh, S J Eo, M Ghandch Tehran, The effec of he nerna ressance on an energy harveser wh cubc ressance oad, ICSV The nd Inernaona Congress on Sound and Vbraon, -6 Juy, 05; [] M Hendjanzadeh, Consraned desgn opmsaon of vbraon energy harvesng devces, Journa of Vbraon and Acouscs, vo. 36/000--6, 04;

2/20/2013. EE 101 Midterm 2 Review

2/20/2013. EE 101 Midterm 2 Review //3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance

More information

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current : . A. IUITS Synopss : GOWTH OF UNT IN IUIT : d. When swch S s closed a =; = d. A me, curren = e 3. The consan / has dmensons of me and s called he nducve me consan ( τ ) of he crcu. 4. = τ; =.63, n one

More information

Dynamic analysis of hoisting viscous damping string with time-varying length

Dynamic analysis of hoisting viscous damping string with time-varying length Journa of Physcs: Conference Seres OPEN ACCESS Dynamc anayss of hosng vscous dampng srng wh me-varyng engh To ce hs arce: P Zhang e a 3 J. Phys.: Conf. Ser. 448 Vew he arce onne for updaes and enhancemens.

More information

CHAPTER 7: CLUSTERING

CHAPTER 7: CLUSTERING CHAPTER 7: CLUSTERING Semparamerc Densy Esmaon 3 Paramerc: Assume a snge mode for p ( C ) (Chapers 4 and 5) Semparamerc: p ( C ) s a mure of denses Mupe possbe epanaons/prooypes: Dfferen handwrng syes,

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure

More information

A New Excitation Control for Multimachine Power Systems II: Robustness and Disturbance Attenuation Analysis

A New Excitation Control for Multimachine Power Systems II: Robustness and Disturbance Attenuation Analysis 88 Inernaona Journa of Conro Hars Auomaon E Psaks and and Sysems Anono vo T Aexandrds no (speca edon) pp 88-95 June 5 A New Excaon Conro for umachne Power Sysems II: Robusness and Dsurbance Aenuaon Anayss

More information

Example: MOSFET Amplifier Distortion

Example: MOSFET Amplifier Distortion 4/25/2011 Example MSFET Amplfer Dsoron 1/9 Example: MSFET Amplfer Dsoron Recall hs crcu from a prevous handou: ( ) = I ( ) D D d 15.0 V RD = 5K v ( ) = V v ( ) D o v( ) - K = 2 0.25 ma/v V = 2.0 V 40V.

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ

More information

Chapter 6: AC Circuits

Chapter 6: AC Circuits Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.

More information

Graduate Macroeconomics 2 Problem set 5. - Solutions

Graduate Macroeconomics 2 Problem set 5. - Solutions Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K

More information

Variants of Pegasos. December 11, 2009

Variants of Pegasos. December 11, 2009 Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on

More information

First-order piecewise-linear dynamic circuits

First-order piecewise-linear dynamic circuits Frs-order pecewse-lnear dynamc crcus. Fndng he soluon We wll sudy rs-order dynamc crcus composed o a nonlnear resse one-por, ermnaed eher by a lnear capacor or a lnear nducor (see Fg.. Nonlnear resse one-por

More information

Motion in Two Dimensions

Motion in Two Dimensions Phys 1 Chaper 4 Moon n Two Dmensons adzyubenko@csub.edu hp://www.csub.edu/~adzyubenko 005, 014 A. Dzyubenko 004 Brooks/Cole 1 Dsplacemen as a Vecor The poson of an objec s descrbed by s poson ecor, r The

More information

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems Swss Federal Insue of Page 1 The Fne Elemen Mehod for he Analyss of Non-Lnear and Dynamc Sysems Prof. Dr. Mchael Havbro Faber Dr. Nebojsa Mojslovc Swss Federal Insue of ETH Zurch, Swzerland Mehod of Fne

More information

TSS = SST + SSE An orthogonal partition of the total SS

TSS = SST + SSE An orthogonal partition of the total SS ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally

More information

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal

More information

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran

More information

FTCS Solution to the Heat Equation

FTCS Solution to the Heat Equation FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence

More information

2.1 Constitutive Theory

2.1 Constitutive Theory Secon.. Consuve Theory.. Consuve Equaons Governng Equaons The equaons governng he behavour of maerals are (n he spaal form) dρ v & ρ + ρdv v = + ρ = Conservaon of Mass (..a) d x σ j dv dvσ + b = ρ v& +

More information

Robustness Experiments with Two Variance Components

Robustness Experiments with Two Variance Components Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference

More information

DYNAMIC ANALYSIS OF BRIDGES SUBJECTED TO MOVING VEHICLES

DYNAMIC ANALYSIS OF BRIDGES SUBJECTED TO MOVING VEHICLES Mahmood: Dynamc Anayss Of Brdges Subjeced o Mong Vehces DYNAMIC ANALYSIS OF BRIDGES SUBJECTED TO MOVING VEHICLES Dr. Mohamad Najm Mahmood Ayad Thab Saeed A-Ghabsha Asssan Professor Asssan Lecurer C Engneerng

More information

CS286.2 Lecture 14: Quantum de Finetti Theorems II

CS286.2 Lecture 14: Quantum de Finetti Theorems II CS286.2 Lecure 14: Quanum de Fne Theorems II Scrbe: Mara Okounkova 1 Saemen of he heorem Recall he las saemen of he quanum de Fne heorem from he prevous lecure. Theorem 1 Quanum de Fne). Le ρ Dens C 2

More information

Polymerization Technology Laboratory Course

Polymerization Technology Laboratory Course Prakkum Polymer Scence/Polymersaonsechnk Versuch Resdence Tme Dsrbuon Polymerzaon Technology Laboraory Course Resdence Tme Dsrbuon of Chemcal Reacors If molecules or elemens of a flud are akng dfferen

More information

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5 TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres

More information

WiH Wei He

WiH Wei He Sysem Idenfcaon of onlnear Sae-Space Space Baery odels WH We He wehe@calce.umd.edu Advsor: Dr. Chaochao Chen Deparmen of echancal Engneerng Unversy of aryland, College Par 1 Unversy of aryland Bacground

More information

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon

More information

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION THE 19 TH INTERNATIONAL ONFERENE ON OMPOSITE MATERIALS ELASTI MODULUS ESTIMATION OF HOPPED ARBON FIBER TAPE REINFORED THERMOPLASTIS USING THE MONTE ARLO SIMULATION Y. Sao 1*, J. Takahash 1, T. Masuo 1,

More information

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas)

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas) Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on

More information

Stochastic State Estimation and Control for Stochastic Descriptor Systems

Stochastic State Estimation and Control for Stochastic Descriptor Systems Sochasc Sae smaon and Conro for Sochasc Descrpor Sysems hwe Gao and aoyan Sh Schoo of ecrc and ecronc ngneerng ann Unversy ann 372, Chna e-ma: zhwegac@pubc.p..cn bsrac In hs paper, a sochasc observer s

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

Fall 2010 Graduate Course on Dynamic Learning

Fall 2010 Graduate Course on Dynamic Learning Fall 200 Graduae Course on Dynamc Learnng Chaper 4: Parcle Flers Sepember 27, 200 Byoung-Tak Zhang School of Compuer Scence and Engneerng & Cognve Scence and Bran Scence Programs Seoul aonal Unversy hp://b.snu.ac.kr/~bzhang/

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () we define the interaction representation by the unitary transformation () = () Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

PIEZO-TRANSDUCER MODELLING WITH A SWITCHED OUTPUT VOLTAGE: APPLICATION TO ENERGY HARVESTING AND SELF-POWERED VIBRATION CONTROL

PIEZO-TRANSDUCER MODELLING WITH A SWITCHED OUTPUT VOLTAGE: APPLICATION TO ENERGY HARVESTING AND SELF-POWERED VIBRATION CONTROL 19h INTERNATIONAL CONGRESS ON ACOUSTICS MADRID, 2-7 SEPTEMBER 27 PIEZO-TRANSDUCER MODELLING WITH A SWITCHED OUTPUT VOLTAGE: APPLICATION TO ENERGY HARVESTING AND SELF-POWERED VIBRATION CONTROL PACS: 43.4.Tm

More information

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu

More information

Let s treat the problem of the response of a system to an applied external force. Again,

Let s treat the problem of the response of a system to an applied external force. Again, Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem

More information

Implementation of Quantized State Systems in MATLAB/Simulink

Implementation of Quantized State Systems in MATLAB/Simulink SNE T ECHNICAL N OTE Implemenaon of Quanzed Sae Sysems n MATLAB/Smulnk Parck Grabher, Mahas Rößler 2*, Bernhard Henzl 3 Ins. of Analyss and Scenfc Compung, Venna Unversy of Technology, Wedner Haupsraße

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm Hqp (,,) = qp Lqq (,,) H p = q H q = p H L = Equvalen o Lagrangan formalsm Smpler, bu wce as

More information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 10: LINEAR DISCRIMINATION CHAPER : LINEAR DISCRIMINAION Dscrmnan-based Classfcaon 3 In classfcaon h K classes (C,C,, C k ) We defned dscrmnan funcon g j (), j=,,,k hen gven an es eample, e chose (predced) s class label as C f g

More information

Department of Economics University of Toronto

Department of Economics University of Toronto Deparmen of Economcs Unversy of Torono ECO408F M.A. Economercs Lecure Noes on Heeroskedascy Heeroskedascy o Ths lecure nvolves lookng a modfcaons we need o make o deal wh he regresson model when some of

More information

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he

More information

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes. umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal

More information

Relative controllability of nonlinear systems with delays in control

Relative controllability of nonlinear systems with delays in control Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.

More information

Outline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model

Outline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model Probablsc Model for Tme-seres Daa: Hdden Markov Model Hrosh Mamsuka Bonformacs Cener Kyoo Unversy Oulne Three Problems for probablsc models n machne learnng. Compung lkelhood 2. Learnng 3. Parsng (predcon

More information

Response of MDOF systems

Response 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 information

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2) Company LOGO THERMODYNAMICS The Frs Law and Oher Basc Conceps (par ) Deparmen of Chemcal Engneerng, Semarang Sae Unversy Dhon Harano S.T., M.T., M.Sc. Have you ever cooked? Equlbrum Equlbrum (con.) Equlbrum

More information

Chapter 5. Circuit Theorems

Chapter 5. Circuit Theorems Chaper 5 Crcu Theorems Source Transformaons eplace a olage source and seres ressor by a curren and parallel ressor Fgure 5.-1 (a) A nondeal olage source. (b) A nondeal curren source. (c) Crcu B-conneced

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours NATONAL UNVERSTY OF SNGAPORE PC5 ADVANCED STATSTCAL MECHANCS (Semeser : AY 1-13) Tme Allowed: Hours NSTRUCTONS TO CANDDATES 1. Ths examnaon paper conans 5 quesons and comprses 4 prned pages.. Answer all

More information

January Examinations 2012

January Examinations 2012 Page of 5 EC79 January Examnaons No. of Pages: 5 No. of Quesons: 8 Subjec ECONOMICS (POSTGRADUATE) Tle of Paper EC79 QUANTITATIVE METHODS FOR BUSINESS AND FINANCE Tme Allowed Two Hours ( hours) Insrucons

More information

FI 3103 Quantum Physics

FI 3103 Quantum Physics /9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon

More information

THE POLYNOMIAL TENSOR INTERPOLATION

THE POLYNOMIAL TENSOR INTERPOLATION Pease ce hs arce as: Grzegorz Berna, Ana Ceo, The oynoma ensor neroaon, Scenfc Research of he Insue of Mahemacs and Comuer Scence, 28, oume 7, Issue, ages 5-. The webse: h://www.amcm.cz./ Scenfc Research

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

Comb Filters. Comb Filters

Comb Filters. Comb Filters The smple flers dscussed so far are characered eher by a sngle passband and/or a sngle sopband There are applcaons where flers wh mulple passbands and sopbands are requred Thecomb fler s an example of

More information

Energy Storage Devices

Energy Storage Devices Energy Sorage Deces Objece of Lecure Descrbe he consrucon of a capacor and how charge s sored. Inroduce seeral ypes of capacors Dscuss he elecrcal properes of a capacor The relaonshp beween charge, olage,

More information

Chapter 2 Linear dynamic analysis of a structural system

Chapter 2 Linear dynamic analysis of a structural system Chaper Lnear dynamc analyss of a srucural sysem. Dynamc equlbrum he dynamc equlbrum analyss of a srucure s he mos general case ha can be suded as akes no accoun all he forces acng on. When he exernal loads

More information

Lecture VI Regression

Lecture VI Regression Lecure VI Regresson (Lnear Mehods for Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure VI: MLSC - Dr. Sehu Vjayakumar Lnear Regresson Model M

More information

National Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration

National Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration Naonal Exams December 205 04-BS-3 Bology 3 hours duraon NOTES: f doub exss as o he nerpreaon of any queson he canddae s urged o subm wh he answer paper a clear saemen of any assumpons made 2 Ths s a CLOSED

More information

Lecture 6: Learning for Control (Generalised Linear Regression)

Lecture 6: Learning for Control (Generalised Linear Regression) Lecure 6: Learnng for Conrol (Generalsed Lnear Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure 6: RLSC - Prof. Sehu Vjayakumar Lnear Regresson

More information

A capacitor consists of two conducting plates, separated by an insulator. Conduction plates: e.g., Aluminum foil Insulator: air, mica, ceramic, etc

A capacitor consists of two conducting plates, separated by an insulator. Conduction plates: e.g., Aluminum foil Insulator: air, mica, ceramic, etc 3//7 haper 6 apacors and Inducors Makng preparaon for dynamc crcus, whch hae far more applcaons han he sac crcus we hae learned so far. 6. apacors Sore energy n elecrc feld nsulaor onducng plaes A capacor

More information

DITAN: A TOOL FOR OPTIMAL SPACE TRAJECTORY DESIGN

DITAN: A TOOL FOR OPTIMAL SPACE TRAJECTORY DESIGN DITAN: A TOOL FOR OPTIMAL SPACE TRAJECTORY DESIGN Massmano Vase Deparmen o Aerospace Engneerng Gasgow Unversy Gasgow Ruedger Jehn ESA/ESOC Inroducon o DITAN Fna Remarks Agenda Oune DITAN (drec Inerpaneary

More information

Volatility Interpolation

Volatility Interpolation Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local

More information

CHAPTER II AC POWER CALCULATIONS

CHAPTER II AC POWER CALCULATIONS CHAE AC OWE CACUAON Conens nroducon nsananeous and Aerage ower Effece or M alue Apparen ower Coplex ower Conseraon of AC ower ower Facor and ower Facor Correcon Maxu Aerage ower ransfer Applcaons 3 nroducon

More information

Clustering (Bishop ch 9)

Clustering (Bishop ch 9) Cluserng (Bshop ch 9) Reference: Daa Mnng by Margare Dunham (a slde source) 1 Cluserng Cluserng s unsupervsed learnng, here are no class labels Wan o fnd groups of smlar nsances Ofen use a dsance measure

More information

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes Ansoropc Behavors and Is Applcaon on Shee Meal Sampng Processes Welong Hu ETA-Engneerng Technology Assocaes, Inc. 33 E. Maple oad, Sue 00 Troy, MI 48083 USA 48-79-300 whu@ea.com Jeanne He ETA-Engneerng

More information

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy

More information

Chapter Lagrangian Interpolation

Chapter Lagrangian Interpolation Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and

More information

Attribute Reduction Algorithm Based on Discernibility Matrix with Algebraic Method GAO Jing1,a, Ma Hui1, Han Zhidong2,b

Attribute Reduction Algorithm Based on Discernibility Matrix with Algebraic Method GAO Jing1,a, Ma Hui1, Han Zhidong2,b Inernaonal Indusral Informacs and Compuer Engneerng Conference (IIICEC 05) Arbue educon Algorhm Based on Dscernbly Marx wh Algebrac Mehod GAO Jng,a, Ma Hu, Han Zhdong,b Informaon School, Capal Unversy

More information

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model BGC1: Survval and even hsory analyss Oslo, March-May 212 Monday May 7h and Tuesday May 8h The addve regresson model Ørnulf Borgan Deparmen of Mahemacs Unversy of Oslo Oulne of program: Recapulaon Counng

More information

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov June 7 e-ournal Relably: Theory& Applcaons No (Vol. CONFIDENCE INTERVALS ASSOCIATED WITH PERFORMANCE ANALYSIS OF SYMMETRIC LARGE CLOSED CLIENT/SERVER COMPUTER NETWORKS Absrac Vyacheslav Abramov School

More information

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study) Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor

More information

Time-interval analysis of β decay. V. Horvat and J. C. Hardy

Time-interval analysis of β decay. V. Horvat and J. C. Hardy Tme-nerval analyss of β decay V. Horva and J. C. Hardy Work on he even analyss of β decay [1] connued and resuled n he developmen of a novel mehod of bea-decay me-nerval analyss ha produces hghly accurae

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4 CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped

More information

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys Dual Approxmae Dynamc Programmng for Large Scale Hydro Valleys Perre Carpener and Jean-Phlppe Chanceler 1 ENSTA ParsTech and ENPC ParsTech CMM Workshop, January 2016 1 Jon work wh J.-C. Alas, suppored

More information

Scattering at an Interface: Oblique Incidence

Scattering at an Interface: Oblique Incidence Course Insrucor Dr. Raymond C. Rumpf Offce: A 337 Phone: (915) 747 6958 E Mal: rcrumpf@uep.edu EE 4347 Appled Elecromagnecs Topc 3g Scaerng a an Inerface: Oblque Incdence Scaerng These Oblque noes may

More information

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005 Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc

More information

5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015)

5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015) 5h Inernaonal onference on Advanced Desgn and Manufacurng Engneerng (IADME 5 The Falure Rae Expermenal Sudy of Specal N Machne Tool hunshan He, a, *, La Pan,b and Bng Hu 3,c,,3 ollege of Mechancal and

More information

An introduction to Support Vector Machine

An introduction to Support Vector Machine An nroducon o Suppor Vecor Machne 報告者 : 黃立德 References: Smon Haykn, "Neural Neworks: a comprehensve foundaon, second edon, 999, Chaper 2,6 Nello Chrsann, John Shawe-Tayer, An Inroducon o Suppor Vecor Machnes,

More information

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA

More information

Lecture -14: Chopper fed DC Drives

Lecture -14: Chopper fed DC Drives Lecure -14: Chopper fed DC Drives Chopper fed DC drives o A chopper is a saic device ha convers fixed DC inpu volage o a variable dc oupu volage direcly o A chopper is a high speed on/off semiconducor

More information

Sampling Procedure of the Sum of two Binary Markov Process Realizations

Sampling Procedure of the Sum of two Binary Markov Process Realizations Samplng Procedure of he Sum of wo Bnary Markov Process Realzaons YURY GORITSKIY Dep. of Mahemacal Modelng of Moscow Power Insue (Techncal Unversy), Moscow, RUSSIA, E-mal: gorsky@yandex.ru VLADIMIR KAZAKOV

More information

Lecture 9: Dynamic Properties

Lecture 9: Dynamic Properties Shor Course on Molecular Dynamcs Smulaon Lecure 9: Dynamc Properes Professor A. Marn Purdue Unversy Hgh Level Course Oulne 1. MD Bascs. Poenal Energy Funcons 3. Inegraon Algorhms 4. Temperaure Conrol 5.

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class

More information

Research on Complex Networks Control Based on Fuzzy Integral Sliding Theory

Research on Complex Networks Control Based on Fuzzy Integral Sliding Theory Advanced Scence and Technoogy Letters Vo.83 (ISA 205), pp.60-65 http://dx.do.org/0.4257/ast.205.83.2 Research on Compex etworks Contro Based on Fuzzy Integra Sdng Theory Dongsheng Yang, Bngqng L, 2, He

More information

Reactive Methods to Solve the Berth AllocationProblem with Stochastic Arrival and Handling Times

Reactive Methods to Solve the Berth AllocationProblem with Stochastic Arrival and Handling Times Reacve Mehods o Solve he Berh AllocaonProblem wh Sochasc Arrval and Handlng Tmes Nsh Umang* Mchel Berlare* * TRANSP-OR, Ecole Polyechnque Fédérale de Lausanne Frs Workshop on Large Scale Opmzaon November

More information

PHYS 1443 Section 001 Lecture #4

PHYS 1443 Section 001 Lecture #4 PHYS 1443 Secon 001 Lecure #4 Monda, June 5, 006 Moon n Two Dmensons Moon under consan acceleraon Projecle Moon Mamum ranges and heghs Reerence Frames and relae moon Newon s Laws o Moon Force Newon s Law

More information

Lecture 2 M/G/1 queues. M/G/1-queue

Lecture 2 M/G/1 queues. M/G/1-queue Lecure M/G/ queues M/G/-queue Posson arrval process Arbrary servce me dsrbuon Sngle server To deermne he sae of he sysem a me, we mus now The number of cusomers n he sysems N() Tme ha he cusomer currenly

More information

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method 10 h US Naonal Congress on Compuaonal Mechancs Columbus, Oho 16-19, 2009 Sngle-loop Sysem Relably-Based Desgn & Topology Opmzaon (SRBDO/SRBTO): A Marx-based Sysem Relably (MSR) Mehod Tam Nguyen, Junho

More information

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore. Ths documen s downloaded from DR-NTU, Nanyang Technologcal Unversy Lbrary, Sngapore. Tle A smplfed verb machng algorhm for word paron n vsual speech processng( Acceped verson ) Auhor(s) Foo, Say We; Yong,

More information

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel Inersymol nererence ISI ISI s a sgnal-dependen orm o nererence ha arses ecause o devaons n he requency response o a channel rom he deal channel. Example: Bandlmed channel Tme Doman Bandlmed channel Frequency

More information

, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables

, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables Opmal Conrol Why Use I - verss calcls of varaons, opmal conrol More generaly More convenen wh consrans (e.g., can p consrans on he dervaves More nsghs no problem (a leas more apparen han hrogh calcls of

More information

Panel Data Regression Models

Panel Data Regression Models Panel Daa Regresson Models Wha s Panel Daa? () Mulple dmensoned Dmensons, e.g., cross-secon and me node-o-node (c) Pongsa Pornchawseskul, Faculy of Economcs, Chulalongkorn Unversy (c) Pongsa Pornchawseskul,

More information

Robust Output Tracking of Uncertain Large-Scale Input-Delay Systems via Decentralized Fuzzy Sliding Mode Control

Robust Output Tracking of Uncertain Large-Scale Input-Delay Systems via Decentralized Fuzzy Sliding Mode Control Inernaona Journa of Conro Scence and Engneerng (6: 57-7 DOI:.593/.conro.6.4 Robus Oupu rackng of Unceran Large-Scae Inpu-Deay Sysems va Decenrazed Fuzzy Sdng Mode Conro Chang-Che ng Chang Deparmen of Eecrca

More information

Introduction to Boosting

Introduction to Boosting Inroducon o Boosng Cynha Rudn PACM, Prnceon Unversy Advsors Ingrd Daubeches and Rober Schapre Say you have a daabase of news arcles, +, +, -, -, +, +, -, -, +, +, -, -, +, +, -, + where arcles are labeled

More information

Tight results for Next Fit and Worst Fit with resource augmentation

Tight results for Next Fit and Worst Fit with resource augmentation Tgh resuls for Nex F and Wors F wh resource augmenaon Joan Boyar Leah Epsen Asaf Levn Asrac I s well known ha he wo smple algorhms for he classc n packng prolem, NF and WF oh have an approxmaon rao of

More information

Comparison of Differences between Power Means 1

Comparison of Differences between Power Means 1 In. Journal of Mah. Analyss, Vol. 7, 203, no., 5-55 Comparson of Dfferences beween Power Means Chang-An Tan, Guanghua Sh and Fe Zuo College of Mahemacs and Informaon Scence Henan Normal Unversy, 453007,

More information

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer d Model Cvl and Surveyng Soware Dranage Analyss Module Deenon/Reenon Basns Owen Thornon BE (Mech), d Model Programmer owen.hornon@d.com 4 January 007 Revsed: 04 Aprl 007 9 February 008 (8Cp) Ths documen

More information

CS 268: Packet Scheduling

CS 268: Packet Scheduling Pace Schedulng Decde when and wha pace o send on oupu ln - Usually mplemened a oupu nerface CS 68: Pace Schedulng flow Ion Soca March 9, 004 Classfer flow flow n Buffer managemen Scheduler soca@cs.bereley.edu

More information