The problems of camera measurements in tracking-error fuzzy control of mobile robots

Size: px
Start display at page:

Download "The problems of camera measurements in tracking-error fuzzy control of mobile robots"

Transcription

1 Saso Blac, El-Had Guch, Jmm Laub, Mchl Dambn, Ggo Klanca h poblms of cama masumns n ackng-o fu conol of mobl obos SAŠO BLAŽIČ, EL-HADI GUECHI, JIMMY LAUBER, MICHEL DAMBRINE, GREGOR KLANČAR Facul of Elccal Engnng, LAMIH laboao UMR CNRS 8 Unvs of Ljubljana, Unvs of Valncnns and Hanau-Cambéss žaška, Ljubljana, Mon Hou, 9 Valncnns cd SLOVENIA, FRANCE {saso.blac, ggo.klanca}@f.un-lj.s, {l-had.guch, jmm.laub, mchl.dambn}@unvvalncnns.f Absac: hs pap dals h akag-sugno modllng and conol of nonholonomc mobl obos n h cas hn h masumns a gvn b h cama. h masumns n such cas a dffcul o dal h: h a gvn onl n dsc m sampls, usuall h a dlad, a hgh-lvl nos s psn on h masumns. h nonlna ackng o-modl s solvd analcall und h pms of ZOH psn a h ssm npu. h nonlna dsc modl s dvlopd. Sval dscaon ssus a dscussd and h modllng os a analsd. h sco nonlna appoach s usd fo consucng h akag-sugno modl. h conol s dsgnd n h LMI famok. Som pfomanc ssus a dscussd on h smulaon cass. K-Wods: akag-sugno, PDC conol, Mobl obo, Knmac modl, Dscaon, Dla, Dca a Inoducon Mobl, auonomous obos a abou o bcom an mpoan lmn of h faco of h fuu [9]. h flbl and h abl o ac n dffn suaons [] opn up oall n applcaons, lavng no lm o h magnaon. o dv h mobl obo fom s nal pon o h ag pon, h obo mus follo pvousl plannd pah. Man scons a usuall mposd on h pah ha s bng dsgnd. hs ma as fom phscal lmaons [], (movng obsacls c. Sval conolls poposd fo mobl obos h nonholonomc consans, h h o man appoachs o conollng mobl obos a posu sablaon and ajco ackng. h am of posu sablaon s o sabl h obo o a fnc pon, hl h am of ajco ackng s o hav h obo follo a fnc ajco. Fo mobl obos ajco ackng s as o achv han posu sablaon. hs coms fom h assumpon ha h hl maks pfc conac h h gound, sulng n nonholonomc consans, hch mans ha no all h vlocs a possbl a a can momn. An nsv v of nonholonomc conol poblms can b found n []. Accodng o Bock s condon [4] nonholonomc ssms canno b asmpocall sabld aound qulbum usng smooh m-nvaan fdback. Compll nonholonomc, dflss ssms a conollabl n a nonlna sns; hfo, asmpoc sablaon can b oband usng m-vang, dsconnuous o hbd conol las. An ponnall sabl, dsconnuous fdback conoll as poposd b [] and h pon sablaon of mobl obos va sa-spac ac-fdback lnaaon usng poposd coodnas as sudd n []. ajco ackng s mo naual fo mobl obos. Usuall, h fnc ajco s oband b usng a fnc obo; hfo, all h knmac consans a mplcl consdd b h fnc ajco. h conol npus a mosl oband b a combnaon of fdfoad npus, calculad fom fnc ajco, and fdback conol la,.g. n [8]. Lapunov sabl m-vang sa-ackng conol las also usd [4], h h ssm s quaons a lnad h spc o h fnc ajco, and b dfnng h dsd paams of h chaacsc polnomal h conoll paams a calculad. h sablaon o h fnc ajco qus a nono moon condon. Man vaaons and mpovmns of hs smpl and ffcv sa-ackng conoll follod n la sach. ISSN: Issu 4, Volum 8, Apl 9

2 Saso Blac, El-Had Guch, Jmm Laub, Mchl Dambn, Ggo Klanca h appoach poposd n ou pap s basd on dsc akag-sugno fu modl, noducd n [7], oband fom h dsc nonlna modl of h knmac o. hn, a classcal Paalll Dsbud Compnsaon (PDC la [8] s compud usng LMI chnqus []. h poposd achcu s vald fo all h ajcos hn h lna and angula vlocs a boundd. Moov, h hs appoach conol la can b mplmnd asl n al m snc s possbl o fnd sablng gans ha can opa fo sval ajcos hn h lna an angula vlocs a boundd and h sabl pop s povn fo an nal condon n a p-spcfd compac s of h sa spac. h man pon n hs pap s o dscuss dscaon ssus of h -S modl and also o dscuss h pfomanc of h PDC conol. hs pap s ogand as follos. In Scon h ackng-o modl of h mobl obo n connuous cas s shon. In Scon sval dsc vsons of h o modl a dscussd. h -S modl s dvlopd n Scon 4. Scon dals h h PDC conol of h mobl obo. Scon 6 dscusss h poblm of dlad masumns, scon 7 gvs som smulaon suls, hl h conclusons a sad n Scon 8. Connuous knmac o-modl of ajco ackng B akng no accoun h non slppng condon, h knmac modl of h mobl obo n h X-Y plan can b n as follos: vcos vsn ( h h consdd conol npus of h mobl obo v and a h lna and h angula spd of h obo, spcvl. h oupu vaabls a and (h obo gavcn poson and (h angl bn h spd vco and h X-as,.. h obo onaon. Fg. llusas h dfnon of h posu o pssd n fam of h al obo and dmnd usng h acual posu q [ ] of h al obo and h fnc posu q [ ] of an vual fnc obo b h quaon: Y ( ( ( ( ( cos sn sn cos q q (, Fg.. Posu o ( Fom ( and ( and assumng ha h vual obo has a knmac modl smla o (, h posu o modl can b n as follos [7]: cos v sn u ( h v s h lna fnc vloc and s h angula fnc vloc. h conol la s hn dfnd as u [ v ]. V ofn (.g. [9] h conol s dcomposd as: v v cos( vb u (4 b Insng h conol (4 no (, h sulng modl s gvn b: sn v u B( h u [ v ] dfnd la. s h fdback sgnal o b b b b (, Dscaon of h knmac modl h connuous modl s no suabl fo h mplmnaon. In ou cas h nfomaon abou X ISSN: Issu 4, Volum 8, Apl 9

3 Saso Blac, El-Had Guch, Jmm Laub, Mchl Dambn, Ggo Klanca h posu of h obo s oband ach ms and also h conol s sn o h obos h h sam fqunc.. Eul dscaon h smpls mhod of dscaon s h Eul ngaon fomula h h dvav of h funcon s placd h h dffnc quon, and h follong dsc modl s oband fom (: ( k sn ( k v ( k ub (6 h all h sgnals on h gh hand-sd of h quaon a funcons of k.. h ac ZOH-dscaon h ac dsc nonlna knmac modl ll b dvd n hs scon. I s oband on h pms of consan npu sgnals bn samplng nsans (k of h oupu,.. ZOH s bng usd a h ssm npu: v( v( k cons., < ( k (7 ( ( k cons., < ( k L us no anals h hd quaon n ( hn < ( k : d ( k d ( k( ( ( k ( k( (8 No ha h funconal dpndnc on k o s no usd v fomall n h,.. ( dos no hav h manng. h onaon of h obo changs pc-s lnal and s possbl o analcall dmn h poson of h obo n h n samplng nsan basd on h posu and h conol npu n h cun samplng nsan. h quaons fo h poson can b ngad: ( k ( k d v( k cos( ( d ( k ( k ( k ( k ( vk ( cos ( k k ( ( d d v( k sn( ( d ( vk ( sn ( k k ( ( d Analcal soluon fo (k s: vk ( k ( ( vk ( ( k ( k sn( ( k ( k sn( ( k k ( vk ( k ( ( cos( ( sn( ( k k ( sn( ( cos( ( k Smlal h modl fo (k can b oband: k ( k ( ( cos( ( v( k k ( vk ( k ( cos( ( k sn( ( k sn( ( k (9 ( ( h dsc modl of h mobl obo s compld b h modl fo ( k oband fom (8: ( k ( k ( k ( h fnc modl fo h mobl obo s h sam as h modl (, (, (, onl h npu sgnals a v ( k and ( k : ( k ( k ( cos( ( k sn( ( k v ( k ( k v ( k sn( ( cos( ( ( k k k v ( k ( k v ( k sn( ( sn( ( ( k k k ( k ( k ( cos( ( k cos( ( k ( ( k ( k ( k akng no accoun (, (, (, (, and ( h follong nonlna dsc modl s oband: ( ( sn( v sn( sn ( ( ( cos( cos( ( cos( ( k cos sn v v ( k sn cos v v ( k ( k ( k ( k (4 ISSN: Issu 4, Volum 8, Apl 9

4 Saso Blac, El-Had Guch, Jmm Laub, Mchl Dambn, Ggo Klanca h h plc dpndnc on k s omd n h gh hand-sd of h quaons o mak hm cla. Inoducng h conol (4 no (4 a v compl modl s oband. h quaons of h sulng modl h v b and b dpnd lnal on ( k and ( k, so s v smpl o pu o h ma fom: vsn( ( cos( v sn( sn( ( sn ( ( ( cos k ( sn co s k ( ( h ( k ( k ( k ( k. I nds o b sssd h ha ( as no oband b lnaaon of h nonlna modl. Acuall, all h nonlna dpndncs a kp, hfo h modl s ac. h soluon fo h npu pa s much mo nonlna and onl appoma soluon fo h B ma can b dvd: ( sn b cos( B b ( cos( v cos( ( cos( v cos( v cos( sn( ( sn ( v cos( sn( v sn( v sn( v cos( ( cos( b sn b cos (6 h o modl oband fom ( and (6 k ( Ak ( Bu( k (7 b h u ( k [ v ( k ( k ] s v compl fo b b b h alaon of h akag-sugno modl oband b sco nonlna appoach [8]. hs s du o h hgh numb of nonlnas n macs A (4 and B (4. Egh nonlnas mans ha h -S modl ould hav 8 6 fu uls and h numb of h LMIs ould b n h ang of 6.. h smplfd ZOH-dscaon In od o smplf h nonlna modl fom h pvous subscon and duc h numb of nonlnas h follong smplfcaons noducd no ( and (6: ( ( cos sn (8 h ma A of h sulng modl s h sam as n h Eul modl (6, hl h ma B bcoms: v sn B v cos (9 h smplfd modl posssss smla compl as h Eul on snc h numb of nonlnas fo h -S modl s 4 ( n h ma A and n h ma B..4 Compason of ndvdual modls h modls psnd n subscons.,. and. a compad n hs subscon. h compason mans h ha h lmns of macs A and B a compad b calculang h absolu dffnc. I s v as o s ha h dffnc bn A macs s h hghs hn and a h hghs hl. Fo h ma B h hghs dffnc as oband b usng numcal mhods. In hs analss h sach s lmd o h π s:.,.,, v,. h suls a shon n abl. h o alas mans mamum absolu dffnc bn h Eul modl (scon. o h smplfd modl (scon. and h ac nonlna modl (scon.. Each o shos h valus h h o s h bggs. hs mans ha B Eul and B smplfd a no analsd n h sam pon of h spac (,,, v,. Onl h cass h h absolu o s h bggs a shon. h analss shos ha h onl o bg (lav dffncs occu n h cas of h lmns B and B f h Eul appomaon s usd (n boh cass h appomaons a mo han h faco oo bg hl n h cas of h smplfd modl h o s lo. ISSN: Issu 4, Volum 8, Apl 9

5 Saso Blac, El-Had Guch, Jmm Laub, Mchl Dambn, Ggo Klanca abl. Wos cas lmns of h macs Ma Elmn Eac valu Appo. ma. o A, A A, -A A A B B B Eul B smplfd B Eul B smplfd Hbd ad-hoc modl h Eul modl (spcall s ma B s no v suabl fo h conol dsgn. I s pfabl o usd h smplfd o modl. I s also possbl o us som hbd modl hl sll kpng h numb of nonlna funcons n h - S modl qual o 4. Obvousl, h nonlna funcons (fo A, B, and B can b usd dcl fom h ac modl, h fouh on can b sn nsad of hch s usd n h smplfd modl. No ha h appomaon of h cos h s os ha h appomaon of h sn h, so ould b b o us h appomaon fo h cosn funcon, bu hs ould add anoh nonlna no h modl. I s also possbl o appoma h lmn B hou ncasng h numb of nonlnas: cos( sn... ( 4 In h smplfd modl (n Scon. s usd as an appomaon fo B,.. h o of h appomaon s O ( hl n h cas of ( h o s of h s O (. 4 akag-sugno modl of h obo h dsc S modl s psnd hough h follong polopc fom [7]: ( ( ( k ( h k ( Ak ( Buk ( In od o consuc h modl h appoach h sco nonlna ll b usd [8]. hs mans ha h nonlnas hav o b akn fom h nonlna modl and usd n h pms vco (k. h vco (k n ou cas s: h macs sn vsn( sn( k ( b b A and B a: A B 4 ( ( No hav o fnd mnmum and mamum valus of h 4 nonlna funcons: lmn < l < lma l,,, 4 (4 h agan lm ou sach o h follong s of h spac:.,.,, v, ( π 4 h numb of uls s 6. h macs of h modl a: h ε ε 4 A ε ε B ε ε 4 4mn k k 4ma ls (6 mn fo 8 ε ma ls mn fo 4 and 9 ε ma ls (7 mn fo {,,, 6, 9,,, 4} ε ma ls fo,,, 8 ε ISSN: Issu 4, Volum 8, Apl 9

6 Saso Blac, El-Had Guch, Jmm Laub, Mchl Dambn, Ggo Klanca PDC conol of h obo In od o sabl h dsc S fu modl (, a PDC (Paalll Dsbud Compnsaon conol la s usd [8]: B ( (8 u ( k h ( k F( k F( k Sval suls concnng h sabl of h -S modl h h PDC conolls s. h poblm s ofn solvd hn h LMI famok. H h soluon ha s o opms h dca a of h ssm ll b usd [8]: mnm β XYM,,... M subjc o X>, Y, β X ( Y XA M B >, AX BM X β X Y, ( AX AjX BM j BM j, ( AX A jx BM j BM j X < j subjc o h h j (9 h abov gnald gnvalu poblm can b solvd b usng numcal algohms. h suls a opmal dca a ha has o sasf β < and F MX ( h poblm s ha h LMI oolbo n Malab canno solv h LMIs h h. In hs cas h > laon can b usd nsad n h dfnon of h nquals. h oh poblm ha s mo sous s ha h soluon fo β dos no ca much nfomaon abou h acual dca a. V ofn h dca a β pdcs nsabl alhough h ssm s sabl. hs poblm can b pal ovcom f a n vaabl s noducd: γ β ( A slghl modfd gnald gnvalu poblm s hn oband: mnmγ XYM,,... M subjc o X>, Y, γ X X ( Y XA M B >, AX BM X γ X X Y, ( AX AjX BM j BM j, ( AX A jx BM j BM j X < j subjc o h h j ( h n algohm fnds h soluon fo γ < as han h ognal algohm fo β <. h oband dca a sll dos no sho h acual dca a. hs s of cous du o a v consvav appoach hch s a gnal chaacsc of hs appoach. h opmal suls a unusabl bcaus h conol ssm s oo quck. hs poblm can b solvd b usng h consan on h npu [8]: h consan v ( ( < μ s nfocd a all ms f h follong LMIs a addd o h s of LMIs (: X M, M μ I X φ I ( h ( φ. h abov addon dos lm h conol sgnal succssfull, bu s also v consvav snc oks fo an nal condon. If ( s o b usd, h paams φ and μ nd som unng. A lo of laaons of can condons s n h lau. h ffcn soluon of LMIs as no h goal of hs pap. 6 h poblm of dla Bsds havng h oupu dfnd onl n dsc momns, h masumns a also dlad. In od o hav good pfomanc conol, hs dla has o b compnsad. hs s usuall achvd b unnng h obo modl n paalll o h acual obo. h conol schm s shon n Fg.. ISSN: Issu 4, Volum 8, Apl 9

7 Saso Blac, El-Had Guch, Jmm Laub, Mchl Dambn, Ggo Klanca fnc vlocs dsgn v fdfoad conol v cos coodna ansfomaon fdback conol vb b v acual obo h dlad masumns d d d knmac modl m m m dla md md md Fg.. h conol schm n h cas of dlad masumns Alhough s possbl o solv h poblm b dffn obsvs, n ou cas a smpl Smh pdco s usd. W hav o oban h cun posu of h obo (,, hou havng masud dcl. Insad can calcula fom h acual masumns ( d, d, d, h oupu of h modl ( m, m, m, and h oupu of h modl ha s dlad fo h sam m as h masud sgnals a ( md, md, md. h da s o sma h undlad oupu h h pms ha h dffnc bn h undlad and h dlad oupus of h modl s h sam as h dffnc bn h undlad and h dlad oupus of h acual obo. W hfo fd back h undlad sgnals: ˆ ( d m md ˆ ( d m md ˆ ( d m md (4 7 Smulaon pmns h o pmns conducd n hs pap. h fs shos h ajco ackng h h dsc PDC conoll poposd n hs pap. h suls a shon n Fgs., 4, and. V good suls a oband n hs cas. I can b obsvd ha h ackng os convg o fnc acual Fg.. h fnc ajco (dashd and h acual on (sold v fnc acual fnc acual Fg. 4. h lna (upp fgu and h angula (lo fgu vlocs ISSN: Issu 4, Volum 8, Apl 9

8 Saso Blac, El-Had Guch, Jmm Laub, Mchl Dambn, Ggo Klanca Fg.. Convgnc of h os In h scond pmn h dla as also psn on h masud oupus. In h fs cas (Fgs. 6, 7, 8 h dla s on sampl m (, ms. h masud sgnal s usd dcl as h oupu of h ssm. h dla causs ha h ssm sas oscllang hl no oscllaons a found n h dla-f cas (Fgs., 4,. In h scond cas (Fgs. 9,, h ffc of dla s ducd b fdng back h sgnals accodng o (4. Whn sng h dla of sampl ms (66,7 ms nsabl occud n h cas hn masud sgnals ad as h oupus of h ssm. V good suls a sll oband n hs cas f usng Smh pdco. I nds o b sssd ha h modl of h ssm as no nalsd h h sam valus as h acual ssm. h nal o of h modl as. m n h -dcon,. m n h -dcon, and 4 o n h oaon. v fnc acual fnc acual Fg 7. h pmn h h dla of sampl m h dla no akn no accoun: h lna (upp and h angula (lo fgu vlocs Fg 8. h pmn h h dla of sampl m h dla no akn no accoun: h os fnc acual Fg 6. h pmn h h dla of sampl m h dla no akn no accoun: h fnc ajco (dashd and h obo pah (sold fnc acual Fg 9. h pmn h h dla of sampl m h dla compnsad: h fnc ajco (dashd and h obo pah (sold ISSN: Issu 4, Volum 8, Apl 9

9 Saso Blac, El-Had Guch, Jmm Laub, Mchl Dambn, Ggo Klanca v fnc acual fnc acual Fg. h pmn h h dla of sampl m h dla compnsad: h lna (upp and h angula (lo vlocs Fg. h pmn h h dla of sampl m h dla compnsad: h os fnc acual Fg. h pmn h h dla of sampl ms h dla compnsad: h fnc ajco (dashd and h obo pah (sold v fnc acual fnc acual Fg. h pmn h h dla of sampl ms h dla compnsad: h lna (upp fgu and h angula (lo fgu vlocs Fg 4. h pmn h h dla of sampl ms h dla compnsad: convgnc of h os 8 Concluson hs pap dals h akag-sugno modllng and conol of nonholonomc mobl obos. h nonlna ackng o-modl s solvd analcall und h pms of ZOH psn a h ssm npu. h nonlna dsc modl s dvlopd. Sval dscaon ssus a dscussd and h modllng os a analsd. I s shon ha h modl oband b h Eul ngaon mhod posssss bg os n som cass and should b no usd. Modls of smla compl sul n much b pcson. h sco nonlna appoach s usd fo consucng h akag-sugno modl. h ffc of dla s also sudd. h conol s dsgnd n h LMI famok. Som ISSN: Issu 4, Volum 8, Apl 9

10 Saso Blac, El-Had Guch, Jmm Laub, Mchl Dambn, Ggo Klanca pfomanc ssus a dscussd on h smulaon cass. Rfncs: [] M. Acad, Coodnaon and conol of a am of mobl obos, WSEAS ansacons on Ssms, Vol. 6, No. 6, 7, pp. 6-. [] S. Blažč, I. Škjanc, D. Mako, Smpl fu adapv conol fo a class of nonlna plans, WSEAS ansacons on Ssms, Vol., No., 4, pp [] S. Bod al., Lna ma nqual n ssm and conol ho, Suds n Appld Mahmacs, Phladlpha, 994. [4] R. W. Bock, Asmpoc sabl and fdback sablaon, n: R.W. Bock, R.S. Mllman, H.J. Sussmann (Eds., Dffnal Gomc Conol ho, Bkhaus, Boson, MA, 98, pp [] C. Canudas d W, O.J. Sodaln, Eponnal Sablaon of Mobl Robos h Nonholonomc Consans, IEEE ansacons on Auomac Conol, Vol. 7, No., 99, pp [6] K. N. Fass, M.. El Hag, A. A. El Kos, ajco ackng conol fo a hld mobl obo usng fu logc conoll, WSEAS ansacons on Ssms, Vol. 4, No. 7,, pp. 7-. [7] El H. Guch, J. Laub, M. Dambn, S. Blažč, G. Klanča, ackng-o modl-basd PDC conol fo mobl obos h acclaon lms, submd o IEEE Innaonal Confnc on Fu Ssms FUZZ-IEEE, 9. [8] D.-H. Km, J.-H. Oh, ackng conol of a o-hld mobl obo usng npu oupu lnaaon, Conol Engnng Pacc, Vol. 7, No., 999, pp [9] G. Klanča, I. Škjanc, ackng-o modlbasd pdcv conol fo mobl obos n al m, Robocs and Auonomous Ssms, Vol., No. 6, 7, pp [] I. Kolmanovsk, N. H. McClamoch, Dvlopmns n Nonholonomc Conol Poblms, IEEE Conol Ssms, Vol., No. 6, 99, pp. 6. [] M. Lpč, G. Klanča, I. Škjanc, D. Mako, B. Poočnk, m opmal plannng consdng acclaon lms, Robocs and Auonomous Ssms, Vol. 4,, pp [] K. Pak, H. Chung, J.G. L, Pon sablaon of mobl obos va saspac ac fdback lnaaon, Robocs and Compu Ingad Manufacung, Vol. 6,, pp. 6. [] L. Podsdkosk, J. Noakosk, M. Idkosk, I. Vva, A n soluon fo pah plannng n paall knon o unknon nvonmn fo nonholonomc mobl obos, Robocs and Auo-nomous Ssms, Vol. 4,, pp. 4. [4] C. Samson, m-vang fdback sablaon of ca lk hld mobl obo, Innaonal Jounal of Robocs Rsach, Vol., No., Vol. 99, 64. [] I. Škjanc, M. Lpć, J. L. Fguoa, S. Blažč, Fu modl-basd pdcv conol fo a CSR h mulpl sad sa: A smulaon sud and a compason h oh nonlna MBPC conol algohms, WSEAS ansacons on Ssms, Vol., No., 4, pp [6] I. Škjanc, Monong of as-a amn plan basd on fu modl, WSEAS ansacons on Ssms, Vol. 6, No., 7, pp [7]. akag, M. Sugno, Fu dnfcaon of ssms and s applcaon o modlng and conol, IEEE ans. On Ssm, Man and Cbncs, Vol., No., 98, pp. 6-. [8] K. anaka, H. O. Wang, Fu Conol Ssns Dsgn and Analss: A Lna Ma Inqual Appoach, John Wl & Sons, Inc.,. [9] Y. ng, W. I. L, H. C. Ja, A Pah Plannng Algohm fo Indusal Robos, Compus & Indusal Engnng, Vol. 4,, pp ISSN: Issu 4, Volum 8, Apl 9

t the propensity to consume the resource good. Maximizing U t in (9) subject to the budget constraint (8) yields

t the propensity to consume the resource good. Maximizing U t in (9) subject to the budget constraint (8) yields ISB 978-9-84468-8-5 Innaonal Confn on Issus n Busnss onoms Mang an Mamas (IBMM-6) Sngapo 5-6 6 Busnss Cls Capal nvonmn an Rnabl Rsous W-Bn Zang Rsuman Asa Paf Unvs Bppu-s Japan Absa: Ts pap nfs busnss

More information

Path Following Control of Mobile Robot Using Lyapunov Techniques and PID Cntroller

Path Following Control of Mobile Robot Using Lyapunov Techniques and PID Cntroller Innaonal Jounal of Fuzz ogc and Inllgn Ssms, vol. 11, no. 1, Mach 11,. 49-53 DOI : 1.591/IJFIS.11.11.1.49 Pah Followng Conol of Mobl obo Usng aunov chnqus and PID Cnoll asok Jn * and Han-Ho ack ** * D.

More information

( r) E (r) Phasor. Function of space only. Fourier series Synthesis equations. Sinusoidal EM Waves. For complex periodic signals

( r) E (r) Phasor. Function of space only. Fourier series Synthesis equations. Sinusoidal EM Waves. For complex periodic signals Inoducon Snusodal M Was.MB D Yan Pllo Snusodal M.3MB 3. Snusodal M.3MB 3. Inoducon Inoducon o o dsgn h communcaons sd of a sall? Fqunc? Oms oagaon? Oms daa a? Annnas? Dc? Gan? Wa quaons Sgnal analss Wa

More information

NEGATIVE-ORDER FORMS FOR THE CALOGERO-BOGOYAVLENSKII-SCHIFF EQUATION AND THE MODIFIED CALOGERO-BOGOYAVLENSKII-SCHIFF EQUATION

NEGATIVE-ORDER FORMS FOR THE CALOGERO-BOGOYAVLENSKII-SCHIFF EQUATION AND THE MODIFIED CALOGERO-BOGOYAVLENSKII-SCHIFF EQUATION THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY Ss A OF THE ROMANIAN ACADEMY Volum 8 Numb /07 pp 7 NEGATIVE-ORDER FORMS FOR THE CALOGERO-BOGOYAVLENSKII-SCHIFF EQUATION AND THE MODIFIED CALOGERO-BOGOYAVLENSKII-SCHIFF

More information

Bethe-Salpeter Equation Green s Function and the Bethe-Salpeter Equation for Effective Interaction in the Ladder Approximation

Bethe-Salpeter Equation Green s Function and the Bethe-Salpeter Equation for Effective Interaction in the Ladder Approximation Bh-Salp Equaon n s Funcon and h Bh-Salp Equaon fo Effcv Inacon n h Ladd Appoxmaon Csa A. Z. Vasconcllos Insuo d Físca-UFRS - upo: Físca d Hadons Sngl-Pacl Popagao. Dagam xpanson of popagao. W consd as

More information

Robust Observer-based Controller Design for T-S Systems with Nonlinear Consequent Parts

Robust Observer-based Controller Design for T-S Systems with Nonlinear Consequent Parts Robu Obv-bad Conoll Dgn fo -S Sym wh Nonlna Conqun Pa Hoda Mood, Mohammad Faokh Dpamn of Elccal Engnng, Ian Unvy of Scnc and chnology, han 686-3, Ian, -mal: {mood, faokh} @ u.ac. Abac: h pap cond h dgn

More information

ECE 107: Electromagnetism

ECE 107: Electromagnetism ECE 07: Elcomagnsm S 8: Plan wavs Insuco: Pof. Valy Lomakn Dpamn of Elccal and Compu Engnng Unvsy of Calfona, San Dgo, CA 92093 Wav quaon Souc-f losslss Maxwll s quaons Apply cul = jωμ ε = = jωε μ = 2

More information

Low Earth Orbit Satellite s Orbit Propagation and Determination

Low Earth Orbit Satellite s Orbit Propagation and Determination Low Eah Ob Sall s Ob Popagaon and Dmnaon o-nn Shou * Dpamn of Aaon & Communcaon Elconcs A Foc Insu of Tchnolog Emal: honn.shou@u.n Absac Ths pap psns ob popagaon and dmnaon of Low Eah Ob(LEO) salls whch

More information

Research on a Novel Soft-Switching Buck Converter

Research on a Novel Soft-Switching Buck Converter Rsach Jounal of Appld Scncs, Engnng and Tchnology 5(8): 450-457, 0 ISSN: 040-7459; -ISSN: 040-7467 Maxwll Scnfc Oganzaon, 0 Submd: Ocob 7, 0 Accpd: Januay 0, 0 Publshd: May 05, 0 Rsach on a Novl Sof-Swchng

More information

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

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

More information

Consider a system of 2 simultaneous first order linear equations

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

More information

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse.

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse. Supplmnar Fgur. Eprmn and smulaon wh fn qud anharmonc. a, Eprmnal daa akn afr a 6 ns hr-on puls. b, Smulaon usng h amlonan. Supplmnar Fgur. Phagoran dnamcs n h m doman. a, Eprmnal daa. Th hr-on puls s

More information

The Variance-Covariance Matrix

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

More information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 10: LINEAR DISCRIMINATION HAPER : LINEAR DISRIMINAION Dscmnan-based lassfcaon 3 In classfcaon h K classes ( k ) We defned dsmnan funcon g () = K hen gven an es eample e chose (pedced) s class label as f g () as he mamum among g

More information

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

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

More information

Phase Space Research of One Non-autonomous Dynamic System

Phase Space Research of One Non-autonomous Dynamic System Pocdngs of h 3d WSEAS/IASE Innaonal Confnc on Dynacal Syss and Conol, Acachon, Fanc, Ocob 3-5, 7 6 Phas Spac sach of On Non-auonoous Dynac Sys ANTON V. DOOSHIN Faculy of acaf consucon Saaa Sa Aospac Unvsy

More information

Chapter 8. Diffraction

Chapter 8. Diffraction Chap 8 Dffacon Pa I Phaso Addon Thom Wha s phaso? In mul-bam nfnc, ach ansmd bam can b xpssd as... 3 N ' ' ' ' ' 4 ' ' n [ n ] d S n q q ' ' ' 3 ' ' 5 '.., h -fld of ach bam s a complx numb n n ' ' A n

More information

Advanced Queueing Theory. M/G/1 Queueing Systems

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

More information

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

A Mathematical Model for Cluster Applications *

A Mathematical Model for Cluster Applications * UG Jounal of aual and ngnng Suds Vol 3 o 5 pp -6 SS 49-4587 P-vwd Jounal of slamc Unvs-Gaza UGS A Mahmacal Modl fo lus Applcaons * Mohamd. Rff ** Facul of Scnc slamc Unvs of Gaza Gaza Sp Sa of Palsn Rcvd

More information

Noll (2004) MRI Notes 2: page 1. Notes on MRI, Part II

Noll (2004) MRI Notes 2: page 1. Notes on MRI, Part II Noll 4 MRI Nos : pag 1 Nos on MRI Pa II Spaal and poal Vaaons W wll now gnalz ou soluon o h loch quaons o funcons n h objc doan fo apl: z z Plas no h dsncon bwn h subscp whch dnos h dcon of a agnzaon vco

More information

ELEN E4830 Digital Image Processing

ELEN E4830 Digital Image Processing ELEN E48 Dgal Imag Procssng Mrm Eamnaon Sprng Soluon Problm Quanzaon and Human Encodng r k u P u P u r r 6 6 6 6 5 6 4 8 8 4 P r 6 6 P r 4 8 8 6 8 4 r 8 4 8 4 7 8 r 6 6 6 6 P r 8 4 8 P r 6 6 8 5 P r /

More information

Chapter 8 - Transient Laminar Flow of Homogeneous Fluids

Chapter 8 - Transient Laminar Flow of Homogeneous Fluids Cha 8 - Tansn Lamna Flow of Homognous Fluds 8. Tansn Flow Th ansn condon s only alcabl fo a lavly sho od af som ssu dsubanc has bn cad n h svo. In accal ms, f ssu s ducd a h wllbo, svo fluds wll bgn o

More information

Name of the Student:

Name of the Student: Engneeng Mahemacs 05 SUBJEC NAME : Pobably & Random Pocess SUBJEC CODE : MA645 MAERIAL NAME : Fomula Maeal MAERIAL CODE : JM08AM007 REGULAION : R03 UPDAED ON : Febuay 05 (Scan he above QR code fo he dec

More information

WAKEFIELD UNDULATOR RADIATION

WAKEFIELD UNDULATOR RADIATION WKEFIELD UNDULTOR RDITION. Opanasnko NSC KIPT, UKRINE MECHNISM OF WFU RDITION SPECTRL -NGULR CHRCTERISTICS MODEL OF WF UNDULTOR WKEFIELD DISTRIBUTION HRD X-RY GENERTING POSSIBILITY of EXPERIMENTL STUDY

More information

Frequency Response. Response of an LTI System to Eigenfunction

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

More information

t=0 t>0: + vr - i dvc Continuation

t=0 t>0: + vr - i dvc Continuation hapr Ga Dlay and rcus onnuaon s rcu Equaon >: S S Ths dffrnal quaon, oghr wh h nal condon, fully spcfs bhaor of crcu afr swch closs Our n challng: larn how o sol such quaons TUE/EE 57 nwrk analys 4/5 NdM

More information

GUIDE FOR SUPERVISORS 1. This event runs most efficiently with two to four extra volunteers to help proctor students and grade the student

GUIDE FOR SUPERVISORS 1. This event runs most efficiently with two to four extra volunteers to help proctor students and grade the student GUIDE FOR SUPERVISORS 1. This vn uns mos fficinly wih wo o fou xa voluns o hlp poco sudns and gad h sudn scoshs. 2. EVENT PARAMETERS: Th vn supviso will povid scoshs. You will nd o bing a im, pns and pncils

More information

«EMR and inversion-based control of a multi-source power plant»

«EMR and inversion-based control of a multi-source power plant» EMR 14 Coïmba Jun 2014 Summ Schoo EMR 14 Engc Macoscopc Rpsnaon «EMR and nvson-basd cono of a mu-souc pow pan» D. Xav KESTELYN, M. Og GOMOZOV, D. édéc COLAS L2EP, As Més PasTch, anc - Oun - 2 1. Inoducon

More information

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( ) 5-1. We apply Newon s second law (specfcally, Eq. 5-). (a) We fnd he componen of he foce s ( ) ( ) F = ma = ma cos 0.0 = 1.00kg.00m/s cos 0.0 = 1.88N. (b) The y componen of he foce s ( ) ( ) F = ma = ma

More information

A new lifetime distribution Nowy rozkład cyklu życia

A new lifetime distribution Nowy rozkład cyklu życia Acl caon nfo: Clk N, Guloksuz CT A nw lfm dsbuon Eksploaacja Nzawodnosc Mannanc and Rlably 07; 9 (4: 634 639, hp://ddoog/0753/n0748 Nu Clk Cgdm Topcu Guloksuz A nw lfm dsbuon Nowy ozkład cyklu życa Th

More information

Fast Calibration for Robot Welding System with Laser Vision

Fast Calibration for Robot Welding System with Laser Vision Fas Calbaon fo Robo Weldng Ssem h Lase Vson Lu Su Mechancal & Eleccal Engneeng Nanchang Unves Nanchang, Chna Wang Guoong Mechancal Engneeng Souh Chna Unves of echnolog Guanghou, Chna Absac Camea calbaon

More information

Phys Nov. 3, 2017 Today s Topics. Continue Chapter 2: Electromagnetic Theory, Photons, and Light Reading for Next Time

Phys Nov. 3, 2017 Today s Topics. Continue Chapter 2: Electromagnetic Theory, Photons, and Light Reading for Next Time Phys 31. No. 3, 17 Today s Topcs Cou Chap : lcomagc Thoy, Phoos, ad Lgh Radg fo Nx Tm 1 By Wdsday: Radg hs Wk Fsh Fowls Ch. (.3.11 Polazao Thoy, Jos Macs, Fsl uaos ad Bws s Agl Homwok hs Wk Chap Homwok

More information

Analytical Approach to Predicting Temperature Fields in Multi-Layered Pavement Systems

Analytical Approach to Predicting Temperature Fields in Multi-Layered Pavement Systems Analycal Appoach o Pdcng Tmpau lds n ul-layd Pavmn Sysms ong Wang, Jffy R. Rosl, P.E., mb ASCE and a-zh Guo 3 Absac: An accua and apd smaon of h pavmn mpau fld s dsd o b pdc pavmn sponss and fo pavmn sysm

More information

Implementation of the Extended Conjugate Gradient Method for the Two- Dimensional Energized Wave Equation

Implementation of the Extended Conjugate Gradient Method for the Two- Dimensional Energized Wave Equation Lonardo Elcronc Jornal of raccs and Tchnolos ISSN 58-078 Iss 9 Jl-Dcmbr 006 p. -4 Implmnaon of h Endd Cona Gradn Mhod for h Two- Dmnsonal Enrd Wav Eqaon Vcor Onoma WAZIRI * Snda Ass REJU Mahmacs/Compr

More information

On the Determination of Capital Charges in a Discounted Cash Flow Model. Eric R. Ulm Georgia State University

On the Determination of Capital Charges in a Discounted Cash Flow Model. Eric R. Ulm Georgia State University On h Dmnaon o Capal Chags n a Dscound Cash Flow Modl c R. Ulm Goga Sa Unvs Movaon Solvnc II Rqud sss dmnd on a consoldad bass sss allocad o h lns o busnss on a magnal bass Dvson no Rsvs and Capal s ln

More information

Chapter 3: Vectors and Two-Dimensional Motion

Chapter 3: Vectors and Two-Dimensional Motion Chape 3: Vecos and Two-Dmensonal Moon Vecos: magnude and decon Negae o a eco: eese s decon Mulplng o ddng a eco b a scala Vecos n he same decon (eaed lke numbes) Geneal Veco Addon: Tangle mehod o addon

More information

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns Summary: Solvng a Homognous Sysm of Two Lnar Frs Ordr Equaons n Two Unknowns Gvn: A Frs fnd h wo gnvalus, r, and hr rspcv corrspondng gnvcors, k, of h coffcn mar A Dpndng on h gnvalus and gnvcors, h gnral

More information

Homework: Due

Homework: Due hw-.nb: //::9:5: omwok: Du -- Ths st (#7) s du on Wdnsday, //. Th soluton fom Poblm fom th xam s found n th mdtm solutons. ü Sakua Chap : 7,,,, 5. Mbach.. BJ 6. ü Mbach. Th bass stats of angula momntum

More information

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues BocDPm 9 h d Ch 7.6: Compl Egvlus Elm Dffl Equos d Boud Vlu Poblms 9 h do b Wllm E. Boc d Rchd C. DPm 9 b Joh Wl & Sos Ic. W cosd g homogous ssm of fs od l quos wh cos l coffcs d hus h ssm c b w s ' A

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

innovations shocks white noise

innovations shocks white noise Innovaons Tm-srs modls ar consrucd as lnar funcons of fundamnal forcasng rrors, also calld nnovaons or shocks Ths basc buldng blocks sasf var σ Srall uncorrlad Ths rrors ar calld wh nos In gnral, f ou

More information

Lecture 23. Multilayer Structures

Lecture 23. Multilayer Structures Lcu Mullay Sucus In hs lcu yu wll lan: Mullay sucus Dlcc an-flcn (AR) cangs Dlcc hgh-flcn (HR) cangs Phnc Band-Gap Sucus C Fall 5 Fahan Rana Cnll Unvsy Tansmssn Ln Juncns and Dscnnus - I Tansmssn ln dscnnus

More information

Study of Tyre Damping Ratio and In-Plane Time Domain Simulation with Modal Parameter Tyre Model (MPTM)

Study of Tyre Damping Ratio and In-Plane Time Domain Simulation with Modal Parameter Tyre Model (MPTM) Sudy o Ty Damping aio and In-Plan Tim Domain Simulaion wih Modal Paam Ty Modl (MPTM D. Jin Shang, D. Baojang Li, and Po. Dihua Guan Sa Ky Laboaoy o Auomoiv Say and Engy, Tsinghua Univsiy, Bijing, China

More information

L4:4. motion from the accelerometer. to recover the simple flutter. Later, we will work out how. readings L4:3

L4:4. motion from the accelerometer. to recover the simple flutter. Later, we will work out how. readings L4:3 elave moon L4:1 To appl Newon's laws we need measuemens made fom a 'fed,' neal efeence fame (unacceleaed, non-oang) n man applcaons, measuemens ae made moe smpl fom movng efeence fames We hen need a wa

More information

9. Simple Rules for Monetary Policy

9. Simple Rules for Monetary Policy 9. Smpl Ruls for Monar Polc John B. Talor, Ma 0, 03 Woodford, AR 00 ovrvw papr Purpos s o consdr o wha xn hs prscrpon rsmbls h sor of polc ha conomc hor would rcommnd Bu frs, l s rvw how hs sor of polc

More information

Weighted Average Finite Difference Methods for Fractional Reaction-Subdiffusion Equation

Weighted Average Finite Difference Methods for Fractional Reaction-Subdiffusion Equation hp://s.u.ac.h Mahacs Wghd Avag Fn Dffnc Mhods fo Faconal Racon-ubdffuson Euaon Nass Hassn WEILAM * Mohad Mabd KHADER and Mohad ADEL Dpan of Mahacs Faculy of cnc Cao nvsy Gza Egyp Dpan of Mahacs Faculy

More information

CIVL 8/ D Boundary Value Problems - Triangular Elements (T6) 1/8

CIVL 8/ D Boundary Value Problems - Triangular Elements (T6) 1/8 CIVL 8/7 -D Boundar Valu Problm - rangular Elmn () /8 SI-ODE RIAGULAR ELEMES () A quadracall nrpolad rangular lmn dfnd b nod, hr a h vrc and hr a h mddl a ach d. h mddl nod, dpndng on locaon, ma dfn a

More information

Dynamics of Bloch Electrons 1

Dynamics of Bloch Electrons 1 Dynamics of Bloch Elcons 7h Spmb 003 c 003, Michal Mad Dfiniions Dud modl Smiclassical dynamics Bloch oscillaions K P mhod Effciv mass Houson sas Zn unnling Wav pacs Anomalous vlociy Wanni Sa ladds d Haas

More information

Motion Control and Trajectory Tracking Control for a Mobile Robot Via Disturbance Observer

Motion Control and Trajectory Tracking Control for a Mobile Robot Via Disturbance Observer WSEAS RANSACIONS on SYSEMS Haan Wang G L Moon Conol an ajcoy ackng Conol fo a Mobl Robo Va Dubanc Obv Haan Wang 3 G L Dpan of Elccal Engnng Shangha Jaoong Unvy Cla A739 8 Dongchuan Roa Mn Hang Shangha

More information

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University Lcur 4 : Bacpropagaon Algorhm Pro. Sul Jung Inllgn Sm and moonal ngnrng Laboraor Chungnam Naonal Unvr Inroducon o Bacpropagaon algorhm 969 Mn and Papr aac. 980 Parr and Wrbo dcovrd bac propagaon algorhm.

More information

The Pricing of Finite Maturity Corporate Coupon Bonds with Rating-Based Covenants

The Pricing of Finite Maturity Corporate Coupon Bonds with Rating-Based Covenants h Pcng of Fn Mauy Copoa Coupon onds wh Rang-asd Covnans Plmnay and ncompl Plas do no quo whou auhos pmsson Ségo Slva Poucalns Unvsy, Pougal mal: sgos@up.p José Azvdo-Pa ISG chncal Unvsy of Lsbon, Pougal

More information

Bond Immunization and Exchange Rate Risk: Some Further Considerations * Ivan Ivanov

Bond Immunization and Exchange Rate Risk: Some Further Considerations * Ivan Ivanov Bond Immunzaon and Exchang Ra Rsk: Som Fuh Consdaons * Ivan Ivanov Ramapo Collg of Nw Jsy 55 Ramapo Vally Road ahwah, Nw Jsy 743-68 -mal: vanov@amapo.du Jason ch, Ph.D. Assoca Pofsso of Fnanc School of

More information

State Observer Design

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

More information

(ΔM s ) > (Δ M D ) PARITY CONDITIONS IN INTERNATIONAL FINANCE AND CURRENCY FORECASTING INFLATION ARBITRAGE AND THE LAW OF ONE PRICE

(ΔM s ) > (Δ M D ) PARITY CONDITIONS IN INTERNATIONAL FINANCE AND CURRENCY FORECASTING INFLATION ARBITRAGE AND THE LAW OF ONE PRICE PARITY CONDITIONS IN INTERNATIONAL FINANCE AND CURRENCY FORECASTING Fv Pay Condons Rsul Fom Abag Acvs 1. Pucasng Pow Pay (PPP). T Fs Ec (FE) 3. T Innaonal Fs Ec (IFE) 4. Ins Ra Pay (IRP) 5. Unbasd Fowad

More information

1 Lecture: pp

1 Lecture: pp EE334 - Wavs and Phasos Lcu: pp -35 - -6 This cous aks vyhing ha you hav bn augh in physics, mah and cicuis and uss i. Easy, only nd o know 4 quaions: 4 wks on fou quaions D ρ Gauss's Law B No Monopols

More information

1 Constant Real Rate C 1

1 Constant Real Rate C 1 Consan Real Rae. Real Rae of Inees Suppose you ae equally happy wh uns of he consumpon good oday o 5 uns of he consumpon good n peod s me. C 5 Tha means you ll be pepaed o gve up uns oday n eun fo 5 uns

More information

Dynamic modeling, simulation and control of a hybrid driven press mechanism

Dynamic modeling, simulation and control of a hybrid driven press mechanism INTERNTIONL JOURNL OF MECHNICS Volum 1 16 Dynamc modlng smulaon and conrol of a hybrd drvn prss mchansm Mhm Erkan Küük Lal Canan Dülgr bsrac Hybrd drvn mchansm combns h moon of a larg consan vlocy moor

More information

5- Scattering Stationary States

5- Scattering Stationary States Lctu 19 Pyscs Dpatmnt Yamou Unvsty 1163 Ibd Jodan Pys. 441: Nucla Pyscs 1 Pobablty Cunts D. Ndal Esadat ttp://ctaps.yu.du.jo/pyscs/couss/pys641/lc5-3 5- Scattng Statonay Stats Rfnc: Paagaps B and C Quantum

More information

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

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

More information

Market Structure and Schumpeterian Growth

Market Structure and Schumpeterian Growth ak Sucu and Schumpan Gowh Val E. ambson Dpamn of Economcs P.O. Box 22363 Bgham Young Unvsy Povo, UT 8462-2363 phon: 8 422-7765 fax: 8 422-94 mal: vl@byu.du Kk. Phllps Dpamn of Economcs P.O. Box 22363 Bgham

More information

CIVL 7/ D Boundary Value Problems - Axisymmetric Elements 1/8

CIVL 7/ D Boundary Value Problems - Axisymmetric Elements 1/8 CIVL 7/8 -D Bounday Valu Poblms - xsymmtc Elmnts /8 xsymmtc poblms a somtms fd to as adally symmtc poblms. hy a gomtcally th-dmnsonal but mathmatcally only two-dmnsonal n th physcs of th poblm. In oth

More information

High-Resolution. Nuclear Magnetic Resonance

High-Resolution. Nuclear Magnetic Resonance Impovmns n Th-Dmnsonal Auomad Shmmng Tchnqus n Hgh-Rsoluon Nucla Magnc Rsonanc A hss submd o h Unvsy of Manchs fo h dg of Doco of Phlosophy n h Faculy of Scnc and Engnng 4 Vladm V. Kooslv Dpamn of Chmsy

More information

Robust decentralized control with scalar output of multivariable structurally uncertain plants with state delay 1

Robust decentralized control with scalar output of multivariable structurally uncertain plants with state delay 1 rprns of h 8h IFAC World Congrss lano Ial Augus 8 - Spmbr obus dcnralzd conrol wh scalar oupu of mulvarabl srucurall uncran plans wh sa dla Elzava arshva Absrac h problm of a robus conrol ssm dsgn for

More information

Time to Recruitment for a Single Grade Manpower System with Two Thresholds, Different Epochs for Inter-Decisions and Exits Having Correlated Wastages

Time to Recruitment for a Single Grade Manpower System with Two Thresholds, Different Epochs for Inter-Decisions and Exits Having Correlated Wastages IOR Jouna of Mahmac IOR-JM -IN: 78-578 -IN: 39-765X. Voum 3 Iu 4 V. III Ju. u. 7 PP 38-4 www.oouna.o m o Rcumn fo a n ad Manow m wh wo hhod Dffn och fo In-Dcon x Havn Coad Waa. Ravchan ;. nvaan an Pofo

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology I J Pu Appl Sc Tchol 8 pp 59-7 Iaoal Joual o Pu ad Appld Sccs ad Tchology ISSN 9-67 Avalabl ol a wwwopaasa Rsach Pap Tasmud Quas Ldly Dsbuo: A Galzao o h Quas Ldly Dsbuo I Elbaal ad M Elgahy * Isu o Sascal

More information

INVENTIVE. The Next Frontier - Addressing the Challenges of SoC Verification. Mike Stellfox Cadence Fellow

INVENTIVE. The Next Frontier - Addressing the Challenges of SoC Verification. Mike Stellfox Cadence Fellow VV h x Fon - Addssng h hallngs of o Vfcaon k llfox adnc Fllow Applca on Accla Applca on os Accla os l l Applca on Accla Applca os on Accla os l l Applca on Applca Accla on os Accla os l l as 1+ as Focusd

More information

Chapter 1 Basic Concepts

Chapter 1 Basic Concepts Ch Bsc Cocs oduco od: X X ε ε ε ε ε O h h foog ssuos o css ε ε ε ε ε N Co No h X Chcscs of od: cos c ddc (ucod) d s of h soss dd of h ssocd c S qusos sd: Wh f h cs of h soss o cos d dd o h ssocd s? Wh

More information

9.4 Absorption and Dispersion

9.4 Absorption and Dispersion 9.4 Absoon and Dsson 9.4. loagn Wavs n Conduos un dnsy n a onduo ollowng Oh s law: J Th Maxwll s uaons n a onduo lna da should b: ρ B B B J To sly h suaon w agu ha h hag dsaas uly n a aoso od. Fo h onnuy

More information

Lecture Y4: Computational Optics I

Lecture Y4: Computational Optics I Phooc ad opolcoc chologs DPMS: Advacd Maals Udsadg lgh ma acos s cucal fo w applcaos Lcu Y4: Compuaoal Opcs I lfos Ldoks Room Π, 65 746 ldok@cc.uo.g hp://cmsl.maals.uo.g/ldoks Rflco ad faco Toal al flco

More information

FAULT TOLERANT SYSTEMS

FAULT TOLERANT SYSTEMS FAULT TOLERANT SYSTEMS hp://www.cs.umass.du/c/orn/faultolransysms ar 4 Analyss Mhods Chapr HW Faul Tolranc ar.4.1 Duplx Sysms Boh procssors xcu h sam as If oupus ar n agrmn - rsul s assumd o b corrc If

More information

s = rθ Chapter 10: Rotation 10.1: What is physics?

s = rθ Chapter 10: Rotation 10.1: What is physics? Chape : oaon Angula poson, velocy, acceleaon Consan angula acceleaon Angula and lnea quanes oaonal knec enegy oaonal nea Toque Newon s nd law o oaon Wok and oaonal knec enegy.: Wha s physcs? In pevous

More information

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS Answr Ky Nam: Da: UNIT # EXPONENTIAL AND LOGARITHMIC FUNCTIONS Par I Qusions. Th prssion is quivaln o () () 6 6 6. Th ponnial funcion y 6 could rwrin as y () y y 6 () y y (). Th prssion a is quivaln o

More information

Theoretical Seismology

Theoretical Seismology Thorcal Ssmology Lcur 9 Sgnal Procssng Fourr analyss Fourr sudd a h Écol Normal n Pars, augh by Lagrang, who Fourr dscrbd as h frs among Europan mn of scnc, Laplac, who Fourr rad lss hghly, and by Mong.

More information

Lecture 2: Bayesian inference - Discrete probability models

Lecture 2: Bayesian inference - Discrete probability models cu : Baysian infnc - Disc obabiliy modls Many hings abou Baysian infnc fo disc obabiliy modls a simila o fqunis infnc Disc obabiliy modls: Binomial samling Samling a fix numb of ials fom a Bnoulli ocss

More information

The Effect of Switching Transitions on Switched Capacitor Converters Losses

The Effect of Switching Transitions on Switched Capacitor Converters Losses 01 IEEE 7 h Convnon o Elccal and Elconcs Engns n Isal Th Ec o Swchng Tansons on Swchd Capaco Convs Losss Mchal Evzlman and Shmul (Sam) Bn-Yaakov Pow Elconcs Laboaoy, Dpamn o Elccal and Compu Engnng Bn-Guon

More information

Partial Fraction Expansion

Partial Fraction Expansion Paial Facion Expanion Whn ying o find h inv Laplac anfom o inv z anfom i i hlpfl o b abl o bak a complicad aio of wo polynomial ino fom ha a on h Laplac Tanfom o z anfom abl. W will illa h ing Laplac anfom.

More information

Chapter 9 Transient Response

Chapter 9 Transient Response har 9 Transn sons har 9: Ouln N F n F Frs-Ordr Transns Frs-Ordr rcus Frs ordr crcus: rcus conan onl on nducor or on caacor gornd b frs-ordr dffrnal quaons. Zro-nu rsons: h crcu has no ald sourc afr a cran

More information

A Real-time Estimator of Electrical Parameters for Vector Controlled Induction Motor using a Reduced Order Extended Kalman Filter

A Real-time Estimator of Electrical Parameters for Vector Controlled Induction Motor using a Reduced Order Extended Kalman Filter A Ral-m Emao o Elccal Paam o Vco Conolld Indcon oo ng a Rdcd Od Endd Kalman Fl Kywod Vcn, R Aaújo, Damanno Fa ESCOA SUPERIOR DE ECNOOGIA E DE GESÃO DO INSIUO POIÉCNICO DE BRAGANÇA Camp d Sana Apolóna,

More information

Diffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28

Diffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28 Chapt 10 Phys 3 Lctu 8 Dffacton Dffacton: gnal Fsnl vs. Faunhof dffacton Sval cohnt oscllatos Sngl-slt dffacton Dffacton Gmald, 1600s: dffacto, dvaton of lght fom lna popagaton Dffacton s a consqunc of

More information

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

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

More information

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

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

More information

SOME IMPUTATION METHODS IN DOUBLE SAMPLING SCHEME FOR ESTIMATION OF POPULATION MEAN

SOME IMPUTATION METHODS IN DOUBLE SAMPLING SCHEME FOR ESTIMATION OF POPULATION MEAN aoal Joual of Mod Egg Rsach (JMER) www.jm.com ol. ssu. Ja-F 0 pp-00-07 N: 9- OME MPUTATON METHOD N DOUBLE AMPLNG HEME FOR ETMATON OF POPULATON MEAN ABTRAT Nada gh Thaku Kalpaa adav fo Mahmacal ccs (M)

More information

C 2.21 EDGEWATER HEIGHTS CITY OF MUSKEGO, WI INTERIM GRADING PLAN SEE SHEET C 2.0 LEGEND EDGEWATER COURT NORTHEAST BASIN #1 20 PHASE 1

C 2.21 EDGEWATER HEIGHTS CITY OF MUSKEGO, WI INTERIM GRADING PLAN SEE SHEET C 2.0 LEGEND EDGEWATER COURT NORTHEAST BASIN #1 20 PHASE 1 AIN NOS: S OL NON- AIN SHON SHOUL B CONSI INIM AN PSNS H AS HA H CONACO SHOUL LAV H SI HN AIN IS FINISH INIM AIN ON LOS SHALL NSU POSIIV AINA O H BASINS ACCUACY OF ALL SPO LVAIONS SHALL B O: SCON O, CLASS

More information

Die Mounted Cam Unit General Description of KGSP

Die Mounted Cam Unit General Description of KGSP D Mond Cam Un Gnal Dscpon of UHav d sc ha confoms o hgh podcon ns. U,,, 0mm and 0mm a avalabl fo h monng dh. UAvalabl angl s 0 o a ncmns of 5. U IO spngs a sd. Opon of U Mc pcfcaon(-) / LU32-(h 3-M8p5

More information

Diffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28

Diffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28 Chapt 10 Phys 3 Lctu 8 Dffacton Dffacton: gnal Fsnl vs. Faunhof dffacton Sval cohnt oscllatos Sngl-slt dffacton Dffacton Gmald, 1600s: dffacto, dvaton of lght fom lna popagaton Dffacton s a consqunc of

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

DSP-First, 2/e. This Lecture: LECTURE #3 Complex Exponentials & Complex Numbers. Introduce more tools for manipulating complex numbers

DSP-First, 2/e. This Lecture: LECTURE #3 Complex Exponentials & Complex Numbers. Introduce more tools for manipulating complex numbers DSP-Fis, / LECTURE #3 Compl Eponnials & Compl umbs READIG ASSIGMETS This Lcu: Chap, Scs. -3 o -5 Appndi A: Compl umbs Appndi B: MATLAB Lcu: Compl Eponnials Aug 016 003-016, JH McClllan & RW Schaf 3 LECTURE

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

Load Equations. So let s look at a single machine connected to an infinite bus, as illustrated in Fig. 1 below.

Load Equations. So let s look at a single machine connected to an infinite bus, as illustrated in Fig. 1 below. oa Euatons Thoughout all of chapt 4, ou focus s on th machn tslf, thfo w wll only pfom a y smpl tatmnt of th ntwok n o to s a complt mol. W o that h, but alz that w wll tun to ths ssu n Chapt 9. So lt

More information

Notes on the stability of dynamic systems and the use of Eigen Values.

Notes on the stability of dynamic systems and the use of Eigen Values. Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon

More information

Mechanical Properties of Si/Ge Nanowire

Mechanical Properties of Si/Ge Nanowire Mchancal Pop of /G Nanow 1/10/004 Eunok L, Joohyun L, and Konwook Kang Fnal Pojc fo ME346 Inoducon o Molcula mulaon Inuco: W Ca, anfod Unvy 1. Inoducon Rcnly houcu of and G nanow ha bn fabcad nc blvd ha

More information

Get Funky this Christmas Season with the Crew from Chunky Custard

Get Funky this Christmas Season with the Crew from Chunky Custard Hol Gd Chcllo Adld o Hdly Fdy d Sudy Nhs Novb Dcb 2010 7p 11.30p G Fuky hs Chss Sso wh h Cw fo Chuky Cusd Fdy Nhs $99pp Sudy Nhs $115pp Tck pc cluds: Full Chss d buff, 4.5 hou bv pck, o sop. Ts & Codos

More information

Ratio-Cum-Product Estimator Using Multiple Auxiliary Attributes in Two-Phase Sampling

Ratio-Cum-Product Estimator Using Multiple Auxiliary Attributes in Two-Phase Sampling On Jounal of Sascs, 04, 4, 46-57 Publshd Onln Jun 04 n Scs. h://www.sc.o/ounal/os h://dx.do.o/0.436/os.04.4404 ao-um-poduc Esmao Usn Mull Auxla Abus n Two-Phas Samln John Kun u, Lo Odono Damn of Mahmacs,

More information

A hybrid method to find cumulative distribution function of completion time of GERT networks

A hybrid method to find cumulative distribution function of completion time of GERT networks Jounal of Indusal Engneeng Inenaonal Sepembe 2005, Vol., No., - 9 Islamc Azad Uvesy, Tehan Souh Banch A hybd mehod o fnd cumulave dsbuon funcon of compleon me of GERT newos S. S. Hashemn * Depamen of Indusal

More information

Problem 1: Consider the following stationary data generation process for a random variable y t. e t ~ N(0,1) i.i.d.

Problem 1: Consider the following stationary data generation process for a random variable y t. e t ~ N(0,1) i.i.d. A/CN C m Sr Anal Profor Òcar Jordà Wnr conomc.c. Dav POBLM S SOLIONS Par I Analcal Quon Problm : Condr h followng aonar daa gnraon proc for a random varabl - N..d. wh < and N -. a Oban h populaon man varanc

More information

Appendix. In the absence of default risk, the benefit of the tax shield due to debt financing by the firm is 1 C E C

Appendix. In the absence of default risk, the benefit of the tax shield due to debt financing by the firm is 1 C E C nx. Dvon o h n wh In h sn o ul sk h n o h x shl u o nnng y h m s s h ol ouon s h num o ssus s h oo nom x s h sonl nom x n s h v x on quy whh s wgh vg o vn n l gns x s. In hs s h o sonl nom xs on h x shl

More information

Convergence of Quintic Spline Interpolation

Convergence of Quintic Spline Interpolation Inrnaonal Journal o ompur Applcaons 97 8887 Volum 7 No., Aprl onvrgnc o Qunc Spln Inrpolaon Y.P. Dub Dparmn O Mamacs, L.N..T. Jabalpur 8 Anl Sukla Dparmn O Mamacs Gan Ganga ollg O Tcnog, Jabalpur 8 ASTRAT

More information

Conventional Hot-Wire Anemometer

Conventional Hot-Wire Anemometer Convnonal Ho-Wr Anmomr cro Ho Wr Avanag much mallr prob z mm o µm br paal roluon array o h nor hghr rquncy rpon lowr co prormanc/co abrcaon roc I µm lghly op p layr 8µm havly boron op ch op layr abrcaon

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