EXACT MODEL MATCHING AND DISTURBANCE REJECTION FOR GENERAL LINEAR TIME DELAY SYSTEMS VIA MEASUREMENT OUTPUT FEEDBACK

Size: px
Start display at page:

Download "EXACT MODEL MATCHING AND DISTURBANCE REJECTION FOR GENERAL LINEAR TIME DELAY SYSTEMS VIA MEASUREMENT OUTPUT FEEDBACK"

Transcription

1 EXACT ODEL ATCHIN AND DISTURBANCE REJECTION FOR ENERAL LINEAR TIE DELAY SYSTES VIA EASUREENT OUTUT FEEDBACK Fotis N. Kouboulis Halkis Istitut of Tchology Dpatt of Autoatio saha Evoia Halki 344, c kouboulis@tihal.g og E. aagiotakis Halkis Istitut of Tchology Dpatt of Autoatio saha Evoia Halki 344, c paagiotakis@tihal.g Abstact Th pobl of xact odl atchig with siultaous distubac jctio (EDR fo gal utal ulti-dlay syst via popotioal alizabl cotoll fdig back asuabl distubacs ad asut output is studid h. Th dsid odl is assud to b lft-ivtibl. Fo this pobl th followig two ajo issus a solvd: Th cssay ad sufficit coditios fo th pobl to hav a alizabl solutio ad th gal aalytical xpssio of th cotoll atics solvig th pobl. Th sults hav b applid to cotol a ital cobustio (IC gi. Noclatu EDR Exact odl atchig with siultaous Distubac Rjctio LR {} Lft ultipl of th agut atix with gad to th Right bializabl uitaizig tasfoatio RR {} Right ultipl of th agut atix with gad to th Right bializabl uitaizig tasfoatio τ i oit dlays ( i =,..., q lialy idpdt ov th atioal ubs Fild of al ubs ( s Fild of atioal fuctios of s with al cofficits ( Fild of atioal fuctios of th lts of with al cofficits ( Rig of alizabl atioal fuctios of th lts of with al cofficits Fild of atioal fuctios of s with cofficits i ( Th tasf atix of th dsid odl ( ak [ ] Rak of th agut atix ov ( Rak [ ] Rak of th agut atix ov. Itoductio Th class of ti dlay systs is of paticula itst i both syst thoy ad cotoll dsig (s [] ad th fcs thi. This typ of dsciptios is usually t i otio systs as wll as i chical pocsss paticulaly thos of distibutd fo. H, th gal class of lia utal ulti-dlay difftial systs [] is studid. Th Distubac Rjctio (DR pobl of ti dlay systs has b studid i th past fo th spcial cas of tadd sigl dlay systs i [3]. Also th pobl has b studid (ud coditios ad usig a gotic appoach i [4] fo oal systs with lts of th syst atics dfid i a ig, big icipal Idal Doai, ad with a cotoll atix havig its lts i th sa ig. All sults i th fild ai towads alizabl cotoll aly cotolls ot ivolvig pdictios. Th solutio of DR fo gal utal ulti-dlay ad tadd ulti-dlay syst via a popotioal alizabl ulti-dlay cotoll, has b divd i [5] fo th cas of lftivtibl systs Th pobl of Exact odl atchig (E has attactd cosidabl atttio fo th spcial cas of tadd sigl dlay systs i [3], [6] ad [7]. All sults i th fild also focus towads a alizabl cotoll. Not that i [8] th pobl has b solvd fo utal sigl dlay syst via alizabl but ot popotioal (dyaic cotolls. Th solutio of E fo gal lft-ivtibl utal syst via a popotioal alizabl cotoll, ot stictd to b polyoial, has b divd i []. I pactic asuabl ad/o o-asuabl distubacs a usually t. So th pobl of E has to b cobid to that of DR. Fo systs ot X/5/$. 5 IEEE

2 ivolvig dlays th cobid pobl has b studid i [9] ad []. Th cotibutio of th pst pap cosists i stablishig th followig aspcts of th EDR pobl fo gal utal ulti-dlay systs with asuabl ad/o o-asuabl distubacs ad fo lft-ivtibl idal odl usig a popotioal alizabl asut output fdback law: Th cssay ad sufficit coditios fo th solvability of th pobl ad th gal solutio of th spctiv alizabl cotoll. Th ai cotibutio of th pst appoach is that it is quit gal thus uifyig th solutio of sval tasf fuctio dsig pobls. I paticula, th pst sults cov th solutio of th EDR pobl fo th gal class of utal ulti-dlay systs via popotioal alizabl stat o pfoac output cotoll, i th psc o ot of asuabl ad/o o asuabl distubacs. Th pst sults also cov th solutio of th EDR pobl fo th gal class of tadd ultidlay systs via a popotioal alizabl cotoll, as a spcial cas. Oth spcial typs of utal o tadd dlay systs (f.. cosuat dlays a also covd by th pst sults. Th pst sults a divd o th basis of a pu algbaic appoach yildig aalytic foula of th gal xpssio of th cotoll atics ad th solvability coditios. Fially, ot that th pst sults ca dictly b usd to dsig odl followig adaptiv cotolls fo distibutd idustial pocsss dscibd by ti dlay odl usig static asut output fdback cotolls.. athatical Backgoud dot th st of ultivaiabl atioal fuctios of s,, s q τ (o o copactly of = xp( sτ xp( sτq, wh [] xp[] = dots th xpotial of th agut quatity. Lt dot th st of atioal fuctios of s with cofficits atioal fuctios of. Ths two sts a claly filds. Lt, ( s dot th st of al ubs ad th st atioal fuctios of s with al cofficit spctivly. A ultivaiabl atioal fuctio of Lt ( xp ( sτ,, xp( sτq blogs to ( (i.. a atioal fuctio that is said to b alizabl ([], [5] if o pdictos a quid fo its alizatio. This is foally statd as: th liit of th atioal fuctio of, fo s tdig to ifiity, is fiit. Th st of ultivaiabl alizabl atioal fuctios of is dotd by (. Claly ( is a ig. Th followig La has b stablishd i [] bi- La.: Lt N ( ( atic lt ( ad Ξ(, with Ξ( alizabl, i.. Ξ( li { ( }: fiit ad Ξ( b of full ow ak ov, th it holds that: th xist two ivtibl ( Ξ li { ( Ξ } ( : fiit is alizabl is alizabl, havig th popty ( N( Ξ ( = I a (. Explicit foula fo ( ad Ξ( a giv i []. Th abov tasfoatio, big of gat ipotac fo th study of alizability issus fo ti dlay syst has b calld ight bi-alizabl ad uitaizig tasfoatio []. Haft, ( Ξ( of th atix N ( ( will b calld th Lft ad th Right ultipls big of full ow ak ov,with gad to th Right bi-alizabl uitaizig tasfoatio ad thy will b dotd by LR N RR N, spctivly. { ( } ad { ( } Th coditios fo th xistc of alizabl atics i th ag of a o-hoogous ap with lts, will b pstd. Cosid th ap i ( ( = Θ( ( ( F N V (. wh, Θ( is a abitay γ a atix, N ( is a a β fixd full ow ak atix ad V ( is a fixd γ β atix. Th lts of N (, V ( ad Θ( blog to (. Fo th ap (., it will b ivstigatd ud which coditios th xist a Θ F is alizabl, i.. such that ( such that ( th lts of F ( blog to (. To pst th, coditios fo th lia ap (. to b alizabl, dfi * V ( = V ( RR { N( } I (.3a β a I a ** V ( = V ( RR { N( } (.3b Fo th lia ap (. ad upo xtdig th sults of [] to th pst cas th followig tho as wll as th followig coollay ca b stablishd

3 Tho.: Th xist a Θ( ( =Θ( ( ( ( big of full ow ak ov ( * ( is alizabl, i.. li V ( : fiit such that th ap F N V is alizabl, with N * V, iff Coollay.: If Tho. hold th th gal Θ F is fo of ( yildig alizabl ( ( ** ( V ( Θ = Λ + LR { N( },wh γ a ( Λ ( is a abitay alizabl F is atix. Th gal fo of all alizabl ( * F ( ( ( RR { ( } = Λ V N. 3. Solutio of th EDR pobl fo oasuabl distubacs 3..obl foulatio ad pliiay sults Th focd spos of th gal class of lia utal ulti-dlay difftial systs [], [5] is govd by th followig st of quatios sx s A X s B U s D U D ( = ( ( + ( ( + ( ( Y ( s = C( X( s (3. wh Xs (, Us (, UD( s ad Ys ( dot th Laplac tasfo of th stat vcto x( t, th iput vcto ut (, th o asuabl distubac vcto ud ( t ad th pfoac output vcto p yt (, spctivly. Th lts of A(, B (, D ( ad C ( ( τ, blog to th fild. Th dlays,, τq a cosidd to b atioally idpdt []. Lt Ψ ( s b th Laplac tasfo of th vcto ψ( t dotig th asut outputs of th syst Ψ ( s = L( X( s (3. H, th dsig goal is that of Exact odl atchig, with siultaous Distubac Rjctio (EDR aly to div a closd loop syst with iput-output tasf fuctio big qual to that of a dsid odl ad siultaously liiat th ifluc of th distubacs. Th fdback is poposd to b of popotioal typ, i.. U( s = K( Ψ ( s + ( Ω( s (3.3 wh Ω ( s is th vcto of xtal iputs ad K ad wh th lts of th atics ( ( blog to th fild ( ( is ivtibl ov (. Th atix (gulaity of th fdback law i od to su th idpdc of th closd loop syst iputs. Substitutig th cotol law (3.3 to th syst (3. th pobl of xact odl atchig with siultaous distubac jctio is foally statd as i th followig quatio ( ( ( ( ( ( ( ( (, C si A B K L (3.4 B D s = p wh H is th odl s tasf atix ad I is th -disioal uitay atix. Equatio (3.4 foulats th pobl i a oal syst dsciptio. It is assud that th odl s tasf atix is lft ivtibl, i.. ( Rak = (3.5 ( p, wh Rak [] dots th ak of th agut atix ov th fild. To avoid coflict Rak [] should ot b cofusd with th oal ak [] dotig th ak of th agut atix ov th fild (. Although th lts of th atics A(, B (, D ( ad C ( a ot stictd to b alizabl atioal fuctios i, th ipltability of th cotoll quis that th lts of th atics K ( ( b alizabl (i.. li K ( li ( : fiit. Dfi ( B( D( ad : fiit ad =. Equatio (3.4 ca b witt as follows ( ( ( = (, ( C si A H s { I K( L( A( ( } (3.6 Du to th lft ivtibility of th odl s tasf atix, th ivtibility of th atix ( ad th latio (3.6 it is adily cocludd that th iput-output tasf atix of th op-loop syst is lft-ivtibl i. This is claly a cssay coditio fo th pobl at had to b solvabl. Futho, fo

4 (3.4, (3.6 ad th ivtibility of ( th followig cssay coditios a divd fo th solvability of th EDR pobl Rak C( A( ( =Rak C( A ( Β( Rak = (3.7 Coditios (3.7 togth with th odl s lft ivtibility iply th syst s lft ivtibility i.. Rak C( A( B ( = ( Ncssay ad sufficit coditios Th lft-ivs of th tasf fuctio atix of th dsid odl, lt ˆ (, s, ay adily b coputd i a a siila to that i [], []. This lft ivs satisfis th followig latio I ˆ = (3.9 ( p Usig (3.9 quatio (3.6 ay b witt i th followig way Π = ( { I K( L( si A( ( } (3. wh Π ˆ = ( p ( + C si A (3. ( ( ( ( Th qualitis (3.9 ad (3. a bfitd by th coditios i (3.5 ad (3.7. Claly, ud (3.5 ad (3.7 th pobl is ducd to that of solvig (3. fo K. ( ad ( Equatio (3. is a quatio i (. This quatio will b solvd to div th alizabl popotioal asut output fdback that achivs EDR. I paticula xpadig Π i gativ pows of s, i.. σ (, σ ( ( + Q ( s + Π s = Q s + + Q s (3. ad upo quatig lik pows of s i both sids of th dsig quatio (3., quatio (3. ay b bok dow to th followig st of quatios σ Q ( s Q ( σ + + s ( ( ( K( R( = ( Q( (3.3a Q Q = (33b (3.3c wh (, ( Q Q Q a giv by th latios ( Q (, Q ( Q ( ad wh I = = I R( = L ( ( A ( ( (3.4a Q( = Q( Q ( (3.4b Fo th divatio of th abov sults th ad ( s as wll as isoophis btw ( btw ( ad has b usd I what follow so dfiitios will b pstd i od to stablish th cssay ad sufficit coditios fo th xistc of a alizabl asut output fdback cotoll of th fo (3.3 such that th closd loop syst satisfis (3.4. To this d, lt η=ak R( ( + η. Also lt J b a colu slctio atix slctig th lialy idpdt colus of R (, i. ak R( J = η. Lt b a ow aagt atix, odig th lialy idpdt ows of R( J, i.. S ( } η R ( J = (3.5 W ( } η i such a way that ak S ( = η. Th ows of W S, i.. ( a dpdt upo th ows of ( W ( =S ( S( wh S ( is th dpdc atix ( S ( W ( = S(. Fially spcify th atics N ( ad V ( appaig i Sctio fo th pst cas to b: N ( W ( = S( I η (3.6a

5 V ( Q ( Q( J = S( ( η (3.6b wh ow it holds that a = η, β = ad γ = Such spcificatios a pittd sic th atix at had W ( S( I η is of full ow ak. Th atics Ξ { W S I η } { η } ( =RR ( ( (3.7 ( =LR ( ( W S I (3.8 ca also b spcifid o th basis of th foulas divd i []. Th basd o latios (.3a ad b ad upo usig th spcificatios (3.6a ad b th followig atics ay also b spcifid * V ( Q ( Q( J = S( ( η { { ( ( }} RR W S I η I η (3.9a ** V ( Q ( Q( J = S( ( η I { RR { ( ( }} η W S I η (3.9b Basd upo th abov dfiitios ad spcificatios th followig tho will b stablishd. Tho 3.. Th xact odl atchig pobl with siultaous distubac jctio of gal utal ulti-dlay systs (3. ad fo lft-ivtibl odl (3.5, is solvabl via a alizabl popotioal asut output fdback cotoll (3.3, if ad oly if th followig coditios a satisfid: (i Rak C( A( ( = =Rak C( A( B ( = (ii Qj ( ( j R( (iii ak =ak R( Q ( (iv dt Q ( / (v Q ( (vi ( is alizabl ( li Q ( Q fiit { } is * (vii th atix V ( * (i.. li V ( dfid i (3.9a, is alizabl is fiit oof. Coditios (i-(v a claly cssay ad sufficit fo th pobl s solvability via cotolls ov ( as ca asily b divd fo latio (3.7 ad fo th dsig quatios (3.3a,b,c To stablish th cssay ad sufficit coditios fo th pobl s solvability, via alizabl cotoll assu that coditios (i-(v a satisfid ad ivstigat if th xist a alizabl solutio i th st of th cotolls ov ( dscibd by (3.3a,b,c (which possibly ivolv pdictos. Fo (3.3b ad coditios (iv - (v, obsv that th solutio of is uiqu ad it is giv by th latio ( ( = Q (, (3. Thus coditio (vi is th cssay ad sufficit. With coditio fo th xistc of a alizabl ( gad to K (, fist obsv that sic coditio (iii is assud to b satisfid th gal solutio of (3.3c fo K ( ov ( (which possibly ivolv pdictos is giv by th followig latio K ( = Q ( Q( J S( ( η ( W ( +Θ S( I η (3. wh us was ad of latio (3.5, th dfiitios Θ is a bfo that, latio (3. ad wh ( ( η abitay atix. This gal solutio fo ( K ad upo usig th spcificatios (3.6a ad (3.6b ay b witt i th followig copact fo ( = Θ( ( ( K N V, (3. Applyig Tho. to (3. ad upo usig (3.9a, coditio (vii is divd to b cssay ad sufficit K. fo th xistc of a alizabl ( 3.3. al Fo of th Ralizabl Cotolls If th coditios of Tho 3., a satisfid th st K ad of all alizabl cotoll atic lt ( (., th gal fo of Θ( K (, is dtid to b, will b divd. To this d, usig Coollay, yildig alizabl

6 ( ** ( ( ( Θ = Λ + V (3.3 wh Λ ( ** atix ad wh V ( ad ( is a abitay ( η alizabl a giv by th latios (3.9b ad (3.8, spctivly. Substitutig latio (3.3 i (3. th followig tho ay adily b stablishd. Tho 3.. If coditios (i-(vii of Tho 3. a satisfid, th th gal aalytical xpssios of K th alizabl cotoll atics ( ad ( i (3., lt ( ad K (, solvig th EDR pobl fo gal utal ulti-dlay systs ad fo lft-ivtibl odl a: K ( = Q ( (3.4a ( = Q ( Q( J S( ( η ** V ( ( W ( + S( I η ( ( ( ( W +Λ S I η (3.4b wh Ξ( is giv by latio (3.7, ( ** giv by latio (3.8, V ( is is giv by th latio (3.9b ad wh th oly f paats a th lts of th ( η abitay alizabl atix ( Λ 4. Solutio of th EDR pobl fo asuabl ad o-asuabl distubacs 4..obl foulatio ad pliiay sults Th focd spos of th gal class of lia utal ulti-dlay difftial systs is govd by th followig st of quatios sx s = A X s + B U s ( ( ( ( ( ( ˆD ( ( D ( ( ( ( + D U + D U (4.a Y s = C X s (4.b wh Xs ( is th Laplac tasfo of th stat vcto x( t, Us ( is th Laplac tasfo of th iput vcto ut (, Uˆ ( s is th Laplac tasfo of D th asuabl distubac vcto uˆd ( t, U D( s is th Laplac tasfo of th o-asuabl distubac vcto u D ( t ad Ys ( is th Laplac p tasfo of th pfoac output vcto y( t. A B D D Th lts of (, (, (, ( ad C (, blog to th fild (. Th dlays τ,, τq a cosidd to b atioally idpdt. Lt ψ( t dot th asut output of th syst. Th Ψ ( s = L( X( s (4. wh Ψ ( s is th Laplac tasfo of ψ( t L ( (. ad H, th dsig goal i as i Sctio 3, that of xact odl atchig ad distubac jctio. Th fdback is poposd to b of popotioal typ, i.. U s = K Ψ s + K U s + Ω s ˆD ( ( ( ( ( ( ( (4.3 wh Ω ( s is th vcto of xtal iputs ad K K wh th lts of th atics (, ( ad ( blog to th fild (. Th atix ( is ivtibl ov ( fo th sa asos as i Sctio 3. Substitutig th cotol law (4.3 to th syst (4. th pobl of xact odl atchig with siultaous distubac jctio is foally statd as i th followig quatio ( ( ( ( ( C A B K L B( ( B( K( + D( D( = p p (4.4 wh H is th odl s tasf atix ad I is th -disioal uitay atix. Equatio (4.4 foulats th pobl i a oal syst dsciptio. It is also assud that (s Sctio 3 th odl s H is lft ivtibl, i.. tasf atix ( ( Rak = (4.5 Although th lts of th atics A( (, D (, D ( ad C (, B a ot stictd to b alizabl atioal fuctios i

7 quis that th lts of th atics K ( K ( ad ( b alizabl (i.. li K ( fiit, li K ( : fiit ad li ( : fiit. Dfi ( = B( D ( D ( th ipltability of th cotoll, :. Equatio (4.4 ca b witt as follows ( ( ( = (, ( { I K ( (4.6 C si A H s ( ( ( ( } K L si A Du to th lft ivtibility of th odl s tasf atix, th ivtibility of th atix ( ad th latios (4.4 ad (4.6 it is adily cocludd that th tasf atix of th op-loop syst is lft-ivtibl i. This is claly a cssay coditio fo th pobl at had to b solvabl. Futho, fo (4.6 ad th ivtibility of ( th followig cssay coditios a divd fo th solvability of th EDR pobl Rak C( A( ( =Rak C( A( B ( Rak = (4.7 Coditios (4.7 togth with th lft ivtibility of th odl claly cov th lft ivtibility of th op loop syst i.. Rak C( A( B ( = ( Ncssay ad sufficit coditios Th lft-ivs of th dsid odls tasf fuctio, lt ˆ (, s, ay adily b coputd as i Sctio 3 I ˆ = (4..9 ( p Followig Sctio 3 quatio (4.6 ay b witt as follows ( Π = { I K ( K ( L( A( ( } (4. wh Π ( p ( + + = Hˆ C si A ( ( ( ( (4. Th qualitis (4.9 ad (4. a bfitd by th coditios i (4.5 ad (4.7. Claly, ud (4.5 ad (4.7 th pobl is ducd to that of solvig (4. fo K (, K ( ad (. Equatio (4. is a quatio i (. This quatio will b solvd to div th alizabl popotioal asut output fdback ad asuabl distubac fdback that achivs EDR i a a siila to that i Sctio 3. Siilaly to Π, i.. Sctio 3 xpadig ( Π = ( σ ( ( = Qσ s + + Q s + Q s + (4. ad quatig lik pows of s i (4. yilds σ ( ( Q σ s + + Q s (4.3a Q ( Q ( Q3 ( = (4.3b ( = ( K ( ( ( ( K R Q (4.3c = Q Q Q 3 a giv by th latios I Q ( = Q (, Q ( = Q ( I Q3 ( = Q ( I ad wh R( = L ( ( A ( ( (4.4a Q( = Q( Q ( (4.4b wh (, ( ad ( Lt η=ak R( ( + + η. Also lt J b a colu slctio atix slctig th lialy R, i. idpdt colus of ( ak R( J = η. Lt b a ow

8 aagt atix, odig th lialy idpdt ows of R( J, i.. S ( } η R ( J = (4.5 W ( } η i such a way that ak S ( = η. Th ows of W S, i.. ( a dpdt upo th ows of ( W ( =S ( S( wh S ( dpdc atix S( W ( = S( Fially th atics N ( ad V ( spcifid to b is th (. a N ( W ( = S( I η (4.6a V ( Q ( Q( J = S( ( η (4.6b wh ow it holds that a = η, β = ad γ = N is of full ow ak. Th atics Th atix ( Ξ { W S I η } { η } ( =RR ( ( (4.7 ( =LR ( ( W S I (4.8 ca also b spcifid o th basis of th foulas divd i []. Th basd o latios (.3a ad b ad upo usig (4.6a ad b th followig latios a divd * V ( Q ( Q( J = S( ( η { { ( ( }} RR W S I η I η (4.9a ** V ( Q ( Q( J = S( ( η I { RR { ( ( }} η W S I η (4.9b Basd upo th abov dfiitios ad spcificatios th followig tho will b stablishd. Tho 4.. Th xact odl atchig pobl with siultaous distubac jctio of gal utal ulti-dlay systs (4. is solvabl fo lftivtibl odl (4.5, via a alizabl popotioal asut output ad asuabl distubac fdback cotoll (4.3, if ad oly if th followig coditios a satisfid: (i Rak C A =Rak C( A( B ( = (ii Qj ( ( j ( ( ( ( R( (iii ak =ak R( Q ( (iv dt Q ( / (v Q3 ( (vi ( is alizabl ( li Q ( Q fiit * (vii th atix V ( * (i.. li V ( is fiit (viii th atix Q ( Q ( li Q ( Q ( { } is dfid i (4.9a, is alizabl is alizabl (i.. is fiit oof. Coditios (i-(v a claly cssay ad sufficit fo th pobl s solvability via cotolls ov ( as ca asily b divd fo latio (4.7 ad fo (4.3a,b,c To stablish th cssay ad sufficit coditios fo th pobl s solvability, via alizabl cotoll assu that coditios (i-(v a satisfid ad ivstigat if th xist a alizabl solutio i th st of th cotolls ov (. To ivstigat this call th poof of Tho 3. as wll (4.3a,b,c. Sic coditios (iv ad (v a satisfid th followig uiqu solutio fo ( ad K ( is divd ( = Q (, (4.a K( = Q( Q(, (4.b Thus coditio (vi is th cssay ad sufficit coditio fo th xistc of a alizabl ( ad coditio (viii is th cssay ad sufficit coditio K. With gad fo th xistc of a alizabl ( to K (, ad siilaly to th poof of Tho 3. ad upo usig (4.5, (4.a, (4.6a ad (4.6b th followig latio is divd ( = Θ( ( ( K N V, (4. Applyig Tho. to th ap (4. ad upo usig (4.9a, coditio (vii is divd to b cssay ad K. sufficit fo th xistc of a alizabl (

9 4.3 al Fo of th Ralizabl Cotoll atics If th coditios of Tho 4., a satisfid th st K K of all alizabl cotoll atics (, ( ad (, lt (, ( ad (, K K will b divd. To this d, usig Coollay., th gal fo of Θ(, yildig alizabl K (, is dtid to b ( ** ( ( ( Θ = Λ + V (4. is a abitay ( η alizabl wh Λ ( ** atix ad wh V ( ad ( a giv by th latios (4.9b ad (4.8, spctivly. Siilaly to Sctio 3 th followig tho ay adily b stablishd. Tho 4.. If coditios (i-(viii of Tho 4. a satisfid, th th gal alizabl aalytical xpssios of th alizabl cotoll atics K K, K (, ( ad ( i (4.3, lt ( (, ad ( K solvig th EDR pobl fo gal utal ulti-dlay systs ad lftivtibl odl, a: ( = ( Q ( ( ( ( K = (4.3a Q Q J S ( η ** V ( ( W ( + S( I η ( ( ( ( W +Λ S I η (4.3b ( = ( ( K Q Q (4.3c wh Ξ( is giv by latio (4.7, ( ** giv by latio (4.8, V ( is is giv by th latio (4.9b ad wh th oly f paats a th lts of th ( η abitay alizabl atix ( Λ 5.Applicatio to a IC Egi A highly siplifid two-iput (idl by-pass valv opig ad spak advac two-output (gi spd ad itak aifold pssu idl spd cotol odl fo IC gis will b usd. I paticula cosid th followig stat-spac dsciptio of th liaizd odl [] x ( θ = Ax ( θ + Ax ( θ θd + Bu( θ + Dτf ( θ ω( θ a ( θ x ( θ = p ( θ, u ( θ = δ( θ τ J ω Kτ Jω A = Ka ηυv, A d ε ω = 4πV Kδ Jω J ω B = Kε ω, D = wh, ω is th gi spd ( ad/s, p is th itak aifold pssu ( ka, δ is th spak advac ( dg, a is th thottl opig ( dg, θ is th cak agl ( ad, θ d is th iductio to pow dlay ( ad, τ f is th distubac toqu ( N, τ is th t gi toqu ( N, K ε is th cofficit latig th thottl opig to dlayd aifold pssu ( ka/s/dg, K τ is th cofficit latig gi toqu to aifold pssu ( ka/s/dg, K δ is th cofficit latig gi toqu to spak tiig ( N/dg, J is th gi itia ( N-s / ad, η υ is th volutic 3 fficicy, V is th gi displact ( ad d V 3 is th aifold volu (. Th subscipt dots oial opatig poit ad dots icts fo th oial opatig poit. Th pfoac output is x ( θ whil th asut output is ω( θ. I ay cass th distubac τ f is cosistd of two pats i.. τf = τˆ f + τ f wh τ ˆf is th kow o asuabl pat ad τf is th o-asuabl pat. It ca b obsvd that th ifluc of τ ˆf to th gi spd ca b jctd via appopiat cotoll. Howv th ifluc of τ f to th gi spd caot b jctd. It ca oly b attuatd if th ods latig τ f to th gi spd a sufficitly stabl. To achiv such a quit as wll as appopiat cotol of th gi spd without affctig th itak aifold pssu th idal odl is chos to b H sθd ; > sθd Kτη Vd υ s + Jω( s + ( 4πVs + ηυvd = ηυv d 4πVs ηυv + d

10 Th dsig quit is that of EDR i. th tasf fuctio atix latig th xtal iputs to th outputs to b qual to whil th tasf fuctio atix latig τ ˆf to th outputs of th closd loop syst to b qual to zo. To satisfy th dsig quits th sults i Sctio 4 a applid to th pst cas with J ω D ( = ad D ( =. It ca b obsvd that th cssay ad sufficit coditios a satisfid ad th gal xpssio of th cotoll atics solvig th pobl is ηυv dω 4πVK = Jω =, K K δ δ a ω K ( = J ω τε Kδω ε (, K ( Substitutio of th divd cotoll to th op-loop syst yilds d ω( θ Kτ = ω( θ + p ( θ θd dt J ω + ω ( θ + τf J ω d p ( θ ηυvd ηυvd = p ( θ + ω ( θ dt 4πV 4πV wh ω ( θ ad ω ( θ a th two xtal iputs. Fo ω ( θ = ad fo zo iitial coditios w gt li ω( θ = li ω ( θ + li τ f. If θ θ jω θ is gat tha th ifluc of th ukow pat of J ω th toqu to th gi spd is lss tha. li τ. 6. Coclusios θ I this pap, th EDR pobl fo gal utal ulti-dlay systs with asuabl ad/o oasuabl distubacs ad fo lft-ivtibl odl, via alizabl popotioal asut output fdback, has xtsivly b solvd. Th cssay ad sufficit coditios fo th pobl to hav a solutio hav b stablishd (Tho 3. ad Tho 4.. Th gal aalytical xpssio of th f alizabl popotioal cotoll atics has b divd (Tho 3., Tho 4.. All abov sults cotibut to th divatio of adaptiv cotolls fo utal ti dlay systs ad paticulaly thos dscibig distibutd idustial pocsss. Th EDR fo gal utal ulti-dlay syst via alizabl popotioal cotoll, without th stictio of lft ivtibl odl is cutly ud ivstigatio. Rfcs [] V.B. Kolaovskii, J.-. Richad, "Editoial: So w tds i th study of ti-dlay systs", athatics ad Coputs i Siulatio, vol. 45, pp. 9-, 998. [] F. N. Koubouli. E. aagiotakis ad. N. aaskvopoulo "Exact odl atchig of Lft Ivtibl Nutal Ti Dlay Systs", ocdigs of th 3 th ditaa Cofc o Cotol ad Autoatio (5 ISIC-ED, pp , 5. [3]. alab, R. Rabah, "Stuctu at ifiity, odl atchig ad distubac jctio, of lia systs with dlays" ' Kybtica, vol. 9, pp , 995. [4]. Cot ad A.. do, "Th Distubac Dcouplig pobl fo systs ov a ig", SIA J. of Cot. ad Opti., vol. 33, pp , 995. [5]. N. aaskvopoulo F. N. Kouboulis ad. E. aagiotaki "Distubac Rjctio of Lft Ivtibl Nutal Ti Dlay Systs", subittd. [6].Cot ad A..do, "odl atchig pobls fo systs ov a ig ad applicatios to dlay difftial systs", I oc. 3 d IFAC Cof. Systs Stuctu ad Cotol, Nat Fac, pp , 995. [7]. icad, J. F. Lafay ad V. Kuca, "odl atchig fo lia systs with dlay" oc. 3 th IFAC Wold Cogs Sa Fasisco, USA, Vol D, pp , 996. [8]. icad, J. F. Lafay ad V. Kuca, "odl atchig fo lia systs with dlays ad -D Systs", Autoatica, vol. 34, pp 83-9,998. [9]. N. aaskvopoulo F. N. Kouboulis ad K.. Tziaki "Distubac Rjctio with Siultaous Exact odl atchig of alizd Stat Spac Systs", ocdigs of th Scod Euopa Cotol Cofc (ECC 93, pp55-59, 993 [] F.N. Kouboulis ad.. Skapti "Robust Distubac Dcouplig with Siultaous Exact odl atchig via Static asut Output Fdback", i Coputs ad Coputatioal Egiig i Cotol, Wold Scitific ad Egiig Socity s Elctical ad Coput Egiig Si pp 78-9, 999 []. N. aaskvopoulo F. N. Kouboulis ad D.F.Aastasaki "Exact odl atchig of alizd Stat Spac Systs", J. Optiizatio Thoy ad Appl., vol. 76, pp 57-85, 993. [] Xiaoqiu Li ad Stph Yukovich, "Slidig od Cotol of Dlayd Systs with Applicatio to Egi Idl Spd Cotol", IEEE Tas. Cot. Syst. Tch., vol. 9, pp 8-8,.

Today s topic 2 = Setting up the Hydrogen Atom problem. Schematic of Hydrogen Atom

Today s topic 2 = Setting up the Hydrogen Atom problem. Schematic of Hydrogen Atom Today s topic Sttig up th Hydog Ato pobl Hydog ato pobl & Agula Motu Objctiv: to solv Schödig quatio. st Stp: to dfi th pottial fuctio Schatic of Hydog Ato Coulob s aw - Z 4ε 4ε fo H ato Nuclus Z What

More information

ENGG 1203 Tutorial. Difference Equations. Find the Pole(s) Finding Equations and Poles

ENGG 1203 Tutorial. Difference Equations. Find the Pole(s) Finding Equations and Poles ENGG 03 Tutoial Systms ad Cotol 9 Apil Laig Obctivs Z tasfom Complx pols Fdbac cotol systms Ac: MIT OCW 60, 6003 Diffc Equatios Cosid th systm pstd by th followig diffc quatio y[ ] x[ ] (5y[ ] 3y[ ]) wh

More information

ELEC9721: Digital Signal Processing Theory and Applications

ELEC9721: Digital Signal Processing Theory and Applications ELEC97: Digital Sigal Pocssig Thoy ad Applicatios Tutoial ad solutios Not: som of th solutios may hav som typos. Q a Show that oth digital filts giv low hav th sam magitud spos: i [] [ ] m m i i i x c

More information

Chapter 11 Solutions ( ) 1. The wavelength of the peak is. 2. The temperature is found with. 3. The power is. 4. a) The power is

Chapter 11 Solutions ( ) 1. The wavelength of the peak is. 2. The temperature is found with. 3. The power is. 4. a) The power is Chapt Solutios. Th wavlgth of th pak is pic 3.898 K T 3.898 K 373K 885 This cospods to ifad adiatio.. Th tpatu is foud with 3.898 K pic T 3 9.898 K 50 T T 5773K 3. Th pow is 4 4 ( 0 ) P σ A T T ( ) ( )

More information

Galaxy Photometry. Recalling the relationship between flux and luminosity, Flux = brightness becomes

Galaxy Photometry. Recalling the relationship between flux and luminosity, Flux = brightness becomes Galaxy Photomty Fo galaxis, w masu a sufac flux, that is, th couts i ach pixl. Though calibatio, this is covtd to flux dsity i Jaskys ( Jy -6 W/m/Hz). Fo a galaxy at som distac, d, a pixl of sid D subtds

More information

Ch. 6 Free Electron Fermi Gas

Ch. 6 Free Electron Fermi Gas Ch. 6 lcto i Gas Coductio lctos i a tal ov fl without scattig b io cos so it ca b cosidd as if walitactig o f paticls followig idiac statistics. hfo th coductio lctos a fqutl calld as f lcto i gas. Coductio

More information

STATISTICAL PARAMETER ESTIMATION FROM MODAL DATA USING A VARIABLE TRANSFORMATION AND TWO WEIGHTING MATRICES

STATISTICAL PARAMETER ESTIMATION FROM MODAL DATA USING A VARIABLE TRANSFORMATION AND TWO WEIGHTING MATRICES SAISICAL PARAMEER ESIMAION FROM MODAL DAA USING A VARIABLE RANSFORMAION AND WO WEIGHING MARICES Haddad Khodapaast, H., Mottshad, J. E., Badcock, K. J. ad Mas, C. Dpatt of Egiig, Uivsity of Livpool, Livpool

More information

The tight-binding method

The tight-binding method Th tight-idig thod Wa ottial aoach: tat lcto a a ga of aly f coductio lcto. ow aout iulato? ow aout d-lcto? d Tight-idig thod: gad a olid a a collctio of wa itactig utal ato. Ovla of atoic wav fuctio i

More information

SOME IDENTITIES FOR THE GENERALIZED POLY-GENOCCHI POLYNOMIALS WITH THE PARAMETERS A, B AND C

SOME IDENTITIES FOR THE GENERALIZED POLY-GENOCCHI POLYNOMIALS WITH THE PARAMETERS A, B AND C Joural of Mathatical Aalysis ISSN: 2217-3412, URL: www.ilirias.co/ja Volu 8 Issu 1 2017, Pags 156-163 SOME IDENTITIES FOR THE GENERALIZED POLY-GENOCCHI POLYNOMIALS WITH THE PARAMETERS A, B AND C BURAK

More information

1985 AP Calculus BC: Section I

1985 AP Calculus BC: Section I 985 AP Calculus BC: Sctio I 9 Miuts No Calculator Nots: () I this amiatio, l dots th atural logarithm of (that is, logarithm to th bas ). () Ulss othrwis spcifid, th domai of a fuctio f is assumd to b

More information

Appendix: The Laplace Transform

Appendix: The Laplace Transform Appedix: The Laplace Trasform The Laplace trasform is a powerful method that ca be used to solve differetial equatio, ad other mathematical problems. Its stregth lies i the fact that it allows the trasformatio

More information

An Asymptotic Expansion for the Non-Central Chi-square Distribution. By Jinan Hamzah Farhood Department of Mathematics College of Education

An Asymptotic Expansion for the Non-Central Chi-square Distribution. By Jinan Hamzah Farhood Department of Mathematics College of Education A Asypoic Expasio fo h o-cal Chi-squa Disibuio By Jia Hazah ahood Dpa of Mahaics Collg of Educaio 6 Absac W div a asypoic xpasio fo h o-cal chi-squa disibuio as wh X i is h o-cal chi-squa vaiabl wih dg

More information

DISCRETE-TIME RANDOM PROCESSES

DISCRETE-TIME RANDOM PROCESSES DISCRT-TIM RNDOM PROCSSS Rado Pocsss Dfiitio; Ma ad vaiac; autocoatio ad autocovaiac; Ratiosip btw ado vaiabs i a sig ado pocss; Coss-covaiac ad coss-coatio of two ado pocsss; Statioa Rado Pocsss Statioait;

More information

Digital Signal Processing, Fall 2006

Digital Signal Processing, Fall 2006 Digital Sigal Procssig, Fall 6 Lctur 9: Th Discrt Fourir Trasfor Zhg-Hua Ta Dpartt of Elctroic Systs Aalborg Uivrsity, Dar zt@o.aau.d Digital Sigal Procssig, I, Zhg-Hua Ta, 6 Cours at a glac MM Discrt-ti

More information

A Manipulated Deformable Object as an Underactuated Mechanical System

A Manipulated Deformable Object as an Underactuated Mechanical System Maipulatd Dfoabl Obct as a Udactuatd Mchaical Syst Hbt G. a Kostas. Kyiaopoulos bstact. Dfoabl obcts ud aipulatio ca b odld usig fiit lts. h sultig odl is i fact a udactuatd chaical syst. h cosucs of ay

More information

The Hydrogen Atom. Chapter 7

The Hydrogen Atom. Chapter 7 Th Hyog Ato Chapt 7 Hyog ato Th vy fist pobl that Schöig hislf tackl with his w wav quatio Poucig th oh s gy lvls a o! lctic pottial gy still plays a ol i a subatoic lvl btw poto a lcto V 4 Schöig q. fo

More information

Chapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series

Chapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series Chatr Ifiit Sris Pag of Sctio F Itgral Tst Chatr : Ifiit Sris By th d of this sctio you will b abl to valuat imror itgrals tst a sris for covrgc by alyig th itgral tst aly th itgral tst to rov th -sris

More information

Transfer Function Analysis

Transfer Function Analysis Trasfer Fuctio Aalysis Free & Forced Resposes Trasfer Fuctio Syste Stability ME375 Trasfer Fuctios - Free & Forced Resposes Ex: Let s s look at a stable first order syste: τ y + y = Ku Take LT of the I/O

More information

PURE MATHEMATICS A-LEVEL PAPER 1

PURE MATHEMATICS A-LEVEL PAPER 1 -AL P MATH PAPER HONG KONG EXAMINATIONS AUTHORITY HONG KONG ADVANCED LEVEL EXAMINATION PURE MATHEMATICS A-LEVEL PAPER 8 am am ( hours) This papr must b aswrd i Eglish This papr cosists of Sctio A ad Sctio

More information

Relation (12.1) states that if two points belong to the convex subset Ω then all the points on the connecting line also belong to Ω.

Relation (12.1) states that if two points belong to the convex subset Ω then all the points on the connecting line also belong to Ω. Lectue 6. Poectio Opeato Deiitio A.: Subset Ω R is cove i [ y Ω R ] λ + λ [ y = z Ω], λ,. Relatio. states that i two poits belog to the cove subset Ω the all the poits o the coectig lie also belog to Ω.

More information

z 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z

z 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z Sris Expasio of Rciprocal of Gamma Fuctio. Fuctios with Itgrs as Roots Fuctio f with gativ itgrs as roots ca b dscribd as follows. f() Howvr, this ifiit product divrgs. That is, such a fuctio caot xist

More information

and integrated over all, the result is f ( 0) ] //Fourier transform ] //inverse Fourier transform

and integrated over all, the result is f ( 0) ] //Fourier transform ] //inverse Fourier transform NANO 70-Nots Chapt -Diactd bams Dlta uctio W d som mathmatical tools to dvlop a physical thoy o lcto diactio. Idal cystals a iiit this, so th will b som iiitis lii about. Usually, th iiit quatity oly ists

More information

Output Control of Nonlinear Systems with Unmodelled Dynamics 1

Output Control of Nonlinear Systems with Unmodelled Dynamics 1 Ppits of th 9th Wold Cogss h Itatioal Fdatio of Autoatic Cotol Cap ow South Afica. August -9 Output Cotol of Nolia Systs with Uodlld Dyaics Alxy A. Bobtsov *;** Sgy A. Kolyubi *** Ato A. Pyki * Alksad

More information

Chapter 4 : Laplace Transform

Chapter 4 : Laplace Transform 4. Itroductio Laplace trasform is a alterative to solve the differetial equatio by the complex frequecy domai ( s = σ + jω), istead of the usual time domai. The DE ca be easily trasformed ito a algebraic

More information

Homework 1: Solutions

Homework 1: Solutions Howo : Solutos No-a Fals supposto tst but passs scal tst lthouh -f th ta as slowss [S /V] vs t th appaac of laty alty th path alo whch slowss s to b tat to obta tavl ts ps o th ol paat S o V as a cosquc

More information

ADDITIVE INTEGRAL FUNCTIONS IN VALUED FIELDS. Ghiocel Groza*, S. M. Ali Khan** 1. Introduction

ADDITIVE INTEGRAL FUNCTIONS IN VALUED FIELDS. Ghiocel Groza*, S. M. Ali Khan** 1. Introduction ADDITIVE INTEGRAL FUNCTIONS IN VALUED FIELDS Ghiocl Goza*, S. M. Ali Khan** Abstact Th additiv intgal functions with th cofficints in a comlt non-achimdan algbaically closd fild of chaactistic 0 a studid.

More information

School of Mechanical Engineering Purdue University. ME375 Transfer Functions - 1

School of Mechanical Engineering Purdue University. ME375 Transfer Functions - 1 Trasfer Fuctio Aalysis Free & Forced Resposes Trasfer Fuctio Syste Stability ME375 Trasfer Fuctios - 1 Free & Forced Resposes Ex: Let s look at a stable first order syste: y y Ku Take LT of the I/O odel

More information

Instrumentation for Characterization of Nanomaterials (v11) 11. Crystal Potential

Instrumentation for Characterization of Nanomaterials (v11) 11. Crystal Potential Istumtatio o Chaactizatio o Naomatials (v). Cystal Pottial Dlta uctio W d som mathmatical tools to dvlop a physical thoy o lcto diactio om cystal. Idal cystals a iiit this, so th will b som iiitis lii

More information

On Jackson's Theorem

On Jackson's Theorem It. J. Cotm. Math. Scics, Vol. 7, 0, o. 4, 49 54 O Jackso's Thom Ema Sami Bhaya Datmt o Mathmatics, Collg o Educatio Babylo Uivsity, Babil, Iaq mabhaya@yahoo.com Abstact W ov that o a uctio W [, ], 0

More information

A New Result On A,p n,δ k -Summabilty

A New Result On A,p n,δ k -Summabilty OSR Joual of Matheatics (OSR-JM) e-ssn: 2278-5728, p-ssn:239-765x. Volue 0, ssue Ve. V. (Feb. 204), PP 56-62 www.iosjouals.og A New Result O A,p,δ -Suabilty Ripeda Kua &Aditya Kua Raghuashi Depatet of

More information

Shor s Algorithm. Motivation. Why build a classical computer? Why build a quantum computer? Quantum Algorithms. Overview. Shor s factoring algorithm

Shor s Algorithm. Motivation. Why build a classical computer? Why build a quantum computer? Quantum Algorithms. Overview. Shor s factoring algorithm Motivation Sho s Algoith It appas that th univs in which w liv is govnd by quantu chanics Quantu infoation thoy givs us a nw avnu to study & tst quantu chanics Why do w want to build a quantu coput? Pt

More information

Bounds on the Second-Order Coding Rate of the MIMO Rayleigh Block-Fading Channel

Bounds on the Second-Order Coding Rate of the MIMO Rayleigh Block-Fading Channel Bouds o th Scod-Od Codig Rat of th MIMO Rayligh Block-Fadig Chal Jakob Hoydis Bll Laboatois, Alcatl-Luct Stuttgat, Gmay jakob.hoydis@alcatl-luct.com Romai Couillt Dpt. of Tlcommuicatios SUPELEC, Fac omai.couillt@suplc.f

More information

Temperature Distribution Control of Reactor Furnace by State Space Method using FEM Modeling

Temperature Distribution Control of Reactor Furnace by State Space Method using FEM Modeling Mmois of th Faculty of Egiig, Okayama ivsity, Vol. 4, pp. 79-90, Jauay 008 Tmpatu Distibutio Cotol of Racto Fuac by Stat Spac Mthod usig FEM Modlig Tadafumi NOTS Divisio of Elctoic ad Ifomatio Systm Egiig

More information

( ) L = D e. e e. Example:

( ) L = D e. e e. Example: xapl: A Si p juctio diod av acoss sctioal aa of, a accpto coctatio of 5 0 8 c -3 o t p-sid ad a doo coctatio of 0 6 c -3 o t -sid. T lif ti of ols i -gio is 47 s ad t lif ti of lctos i t p-gio is 5 s.

More information

8(4 m0) ( θ ) ( ) Solutions for HW 8. Chapter 25. Conceptual Questions

8(4 m0) ( θ ) ( ) Solutions for HW 8. Chapter 25. Conceptual Questions Solutios for HW 8 Captr 5 Cocptual Qustios 5.. θ dcrass. As t crystal is coprssd, t spacig d btw t plas of atos dcrass. For t first ordr diffractio =. T Bragg coditio is = d so as d dcrass, ust icras for

More information

ln x = n e = 20 (nearest integer)

ln x = n e = 20 (nearest integer) H JC Prlim Solutios 6 a + b y a + b / / dy a b 3/ d dy a b at, d Giv quatio of ormal at is y dy ad y wh. d a b () (,) is o th curv a+ b () y.9958 Qustio Solvig () ad (), w hav a, b. Qustio d.77 d d d.77

More information

Some Topics on Weighted Generalized Inverse and Kronecker Product of Matrices

Some Topics on Weighted Generalized Inverse and Kronecker Product of Matrices Malaysia Soe Joual Topics of Matheatical o Weighted Scieces Geealized (): Ivese 9-22 ad Koece (27) Poduct of Matices Soe Topics o Weighted Geealized Ivese ad Koece Poduct of Matices Zeyad Abdel Aziz Al

More information

Motivation. We talk today for a more flexible approach for modeling the conditional probabilities.

Motivation. We talk today for a more flexible approach for modeling the conditional probabilities. Baysia Ntworks Motivatio Th coditioal idpdc assuptio ad by aïv Bays classifirs ay s too rigid spcially for classificatio probls i which th attributs ar sowhat corrlatd. W talk today for a or flibl approach

More information

Magnetic effects and the peculiarity of the electron spin in Atoms

Magnetic effects and the peculiarity of the electron spin in Atoms Magtic ffcts ad t pculiaity of t lcto spi i Atos Pit Za Hdik otz Nobl Piz 90 Otto t Nobl 9 Wolfgag Pauli Nobl 95 ctu Nots tuctu of Matt: Atos ad Molculs; W. Ubacs T obital agula otu of a lcto i obit iclassical

More information

5.6 Binomial Multi-section Matching Transformer

5.6 Binomial Multi-section Matching Transformer 4/14/21 5_6 Bioial Multisectio Matchig Trasforers 1/1 5.6 Bioial Multi-sectio Matchig Trasforer Readig Assiget: pp. 246-25 Oe way to axiize badwidth is to costruct a ultisectio Γ f that is axially flat.

More information

E F. and H v. or A r and F r are dual of each other.

E F. and H v. or A r and F r are dual of each other. A Duality Thom: Consid th following quations as an xampl = A = F μ ε H A E A = jωa j ωμε A + β A = μ J μ A x y, z = J, y, z 4π E F ( A = jω F j ( F j β H F ωμε F + β F = ε M jβ ε F x, y, z = M, y, z 4π

More information

Technical Report: Bessel Filter Analysis

Technical Report: Bessel Filter Analysis Sasa Mahmoodi 1 Techical Repot: Bessel Filte Aalysis 1 School of Electoics ad Compute Sciece, Buildig 1, Southampto Uivesity, Southampto, S17 1BJ, UK, Email: sm3@ecs.soto.ac.uk I this techical epot, we

More information

Lecture 24: Observability and Constructibility

Lecture 24: Observability and Constructibility ectue 24: Obsevability ad Costuctibility 7 Obsevability ad Costuctibility Motivatio: State feedback laws deped o a kowledge of the cuet state. I some systems, xt () ca be measued diectly, e.g., positio

More information

CDS 101: Lecture 5.1 Reachability and State Space Feedback

CDS 101: Lecture 5.1 Reachability and State Space Feedback CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray ad Hido Mabuchi 5 Octobr 4 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls

More information

PESIT Bangalore South Campus Hosur road, 1km before Electronic City, Bengaluru -100 Department of Basic Science and Humanities

PESIT Bangalore South Campus Hosur road, 1km before Electronic City, Bengaluru -100 Department of Basic Science and Humanities P E PESIT Bglo South Cpus Hosu od, k bfo Elctoic Cit, Bgluu -00 Dptt of Bsic Scic d Huitis INTERNAL ASSESSMENT TEST Dt : 0/0/07 Mks: 0 Subjct & Cod : Egiig Mthtics I 5MAT Sc : ALL N of fcult : GVR,GKJ,RR,SV,NHM,DN,KR,

More information

Conditional Convergence of Infinite Products

Conditional Convergence of Infinite Products Coditioal Covegece of Ifiite Poducts William F. Tech Ameica Mathematical Mothly 106 1999), 646-651 I this aticle we evisit the classical subject of ifiite poducts. Fo stadad defiitios ad theoems o this

More information

Ma 530 Introduction to Power Series

Ma 530 Introduction to Power Series Ma 530 Itroductio to Power Series Please ote that there is material o power series at Visual Calculus. Some of this material was used as part of the presetatio of the topics that follow. What is a Power

More information

F(F \m 1,m 2, ), which is suitable for large, small, r N and 0<q<1, where. is the incomplete Gamma function ratio and

F(F \m 1,m 2, ), which is suitable for large, small, r N and 0<q<1, where. is the incomplete Gamma function ratio and A Asyptotic Expasio fo th No-tal -Distibtio y Jia azah ahoo Dpatt of Mathatics ollg of Ecatio 6 Abstact A asyptotic xpasio is iv fo th o-ctal -istibtio (\ ) hich is sitabl fo lag sall N a

More information

Problem Value Score Earned No/Wrong Rec -3 Total

Problem Value Score Earned No/Wrong Rec -3 Total GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING ECE6 Fall Quiz # Writt Eam Novmr, NAME: Solutio Kys GT Usram: LAST FIRST.g., gtiit Rcitatio Sctio: Circl t dat & tim w your Rcitatio

More information

The Binomial Multi- Section Transformer

The Binomial Multi- Section Transformer 4/4/26 The Bioial Multisectio Matchig Trasforer /2 The Bioial Multi- Sectio Trasforer Recall that a ulti-sectio atchig etwork ca be described usig the theory of sall reflectios as: where: ( ω ) = + e +

More information

The Binomial Multi-Section Transformer

The Binomial Multi-Section Transformer 4/15/2010 The Bioial Multisectio Matchig Trasforer preset.doc 1/24 The Bioial Multi-Sectio Trasforer Recall that a ulti-sectio atchig etwork ca be described usig the theory of sall reflectios as: where:

More information

Generalizing the DTFT. The z Transform. Complex Exponential Excitation. The Transfer Function. Systems Described by Difference Equations

Generalizing the DTFT. The z Transform. Complex Exponential Excitation. The Transfer Function. Systems Described by Difference Equations Geeraliig the DTFT The Trasform M. J. Roberts - All Rights Reserved. Edited by Dr. Robert Akl 1 The forward DTFT is defied by X e jω = x e jω i which = Ω is discrete-time radia frequecy, a real variable.

More information

rad / sec min rev 60sec. 2* rad / sec s

rad / sec min rev 60sec. 2* rad / sec s EE 559, Exa 2, Spig 26, D. McCalley, 75 iute allowed. Cloed Book, Cloed Note, Calculato Peitted, No Couicatio Device. (6 pt) Coide a.5 MW, 69 v, 5 Hz, 75 p DFG wid eegy yt. he paaete o the geeato ae give

More information

Complete Solutions to Supplementary Exercises on Infinite Series

Complete Solutions to Supplementary Exercises on Infinite Series Coplete Solutios to Suppleetary Eercises o Ifiite Series. (a) We eed to fid the su ito partial fractios gives By the cover up rule we have Therefore Let S S A / ad A B B. Covertig the suad / the by usig

More information

Control Systems. Lecture 8 Root Locus. Root Locus. Plant. Controller. Sensor

Control Systems. Lecture 8 Root Locus. Root Locus. Plant. Controller. Sensor Cotol Syt ctu 8 Root ocu Clacal Cotol Pof. Eugo Schut hgh Uvty Root ocu Cotoll Plat R E C U Y - H C D So Y C C R C H Wtg th loo ga a w a ttd tackg th clod-loo ol a ga va Clacal Cotol Pof. Eugo Schut hgh

More information

ECE Spring Prof. David R. Jackson ECE Dept. Notes 20

ECE Spring Prof. David R. Jackson ECE Dept. Notes 20 ECE 6341 Sprig 016 Prof. David R. Jackso ECE Dept. Notes 0 1 Spherical Wave Fuctios Cosider solvig ψ + k ψ = 0 i spherical coordiates z φ θ r y x Spherical Wave Fuctios (cot.) I spherical coordiates we

More information

Previous knowlegde required. Spherical harmonics and some of their properties. Angular momentum. References. Angular momentum operators

Previous knowlegde required. Spherical harmonics and some of their properties. Angular momentum. References. Angular momentum operators // vious owg ui phica haoics a so o thi poptis Goup thoy Quatu chaics pctoscopy H. Haga 8 phica haoics Rcs Bia. iv «Iucib Tso thos A Itouctio o chists» Acaic ss D.A. c Quai.D. io «hii hysiu Appoch oécuai»

More information

Math 7409 Homework 2 Fall from which we can calculate the cycle index of the action of S 5 on pairs of vertices as

Math 7409 Homework 2 Fall from which we can calculate the cycle index of the action of S 5 on pairs of vertices as Math 7409 Hoewok 2 Fall 2010 1. Eueate the equivalece classes of siple gaphs o 5 vetices by usig the patte ivetoy as a guide. The cycle idex of S 5 actig o 5 vetices is 1 x 5 120 1 10 x 3 1 x 2 15 x 1

More information

Derivation of a Predictor of Combination #1 and the MSE for a Predictor of a Position in Two Stage Sampling with Response Error.

Derivation of a Predictor of Combination #1 and the MSE for a Predictor of a Position in Two Stage Sampling with Response Error. Drivatio of a Prdictor of Cobiatio # ad th SE for a Prdictor of a Positio i Two Stag Saplig with Rspos Error troductio Ed Stak W driv th prdictor ad its SE of a prdictor for a rado fuctio corrspodig to

More information

Chapter 6 Perturbation theory

Chapter 6 Perturbation theory Ct 6 Ptutio to 6. Ti-iddt odgt tutio to i o tutio sst is giv to fid solutios of λ ' ; : iltoi of si stt : igvlus of : otool igfutios of ; δ ii Rlig-Södig tutio to ' λ..6. ; : gl iltoi ': tutio λ : sll

More information

Lecture 19. Curve fitting I. 1 Introduction. 2 Fitting a constant to measured data

Lecture 19. Curve fitting I. 1 Introduction. 2 Fitting a constant to measured data Lecture 9 Curve fittig I Itroductio Suppose we are preseted with eight poits of easured data (x i, y j ). As show i Fig. o the left, we could represet the uderlyig fuctio of which these data are saples

More information

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations ECE-S352 Itroductio to Digital Sigal Processig Lecture 3A Direct Solutio of Differece Equatios Discrete Time Systems Described by Differece Equatios Uit impulse (sample) respose h() of a DT system allows

More information

Chapter 3 Higher Order Linear ODEs

Chapter 3 Higher Order Linear ODEs ht High Od i ODEs. Hoogous i ODEs A li qutio: is lld ohoogous. is lld hoogous. Tho. Sus d ostt ultils of solutios of o so o itvl I gi solutios of o I. Dfiitio. futios lld lil iddt o so itvl I if th qutio

More information

Zeroth moment of the Boltzmann Equation The Equation of Continuity (Particle conservation)

Zeroth moment of the Boltzmann Equation The Equation of Continuity (Particle conservation) Plasas as Fluids At this poit w d to us a ub of basi quatios that dsib plasas as fluids. Whil it is possibl to alulat ths quatios fo fist piipls, usig Maxwll s ltoagti fild quatios ad Maxwll s vloity distibutio

More information

5.6 Binomial Multi-section Matching Transformer

5.6 Binomial Multi-section Matching Transformer 4/14/2010 5_6 Bioial Multisectio Matchig Trasforers 1/1 5.6 Bioial Multi-sectio Matchig Trasforer Readig Assiget: pp. 246-250 Oe way to axiize badwidth is to costruct a ultisectio Γ f that is axially flat.

More information

Special Modeling Techniques

Special Modeling Techniques Colorado School of Mies CHEN43 Secial Modelig Techiques Secial Modelig Techiques Summary of Toics Deviatio Variables No-Liear Differetial Equatios 3 Liearizatio of ODEs for Aroximate Solutios 4 Coversio

More information

SECTION 2.6 THE SECOND ALTERNATIVE

SECTION 2.6 THE SECOND ALTERNATIVE 54 SECTION 2.6 THE SECOND ALTERNATIVE We ow discuss the probles where the Secod Alterative holds. The suppositio is that there is a otrivial solutio for L(y) =, B (y) = B 2 (y) =. The Fredhol Theores assure

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

Chapter 11.00C Physical Problem for Fast Fourier Transform Civil Engineering

Chapter 11.00C Physical Problem for Fast Fourier Transform Civil Engineering haptr. Physical Problm for Fast Fourir Trasform ivil Egirig Itroductio I this chaptr, applicatios of FFT algorithms [-5] for solvig ral-lif problms such as computig th dyamical (displacmt rspos [6-7] of

More information

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) =

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) = AN INTRODUCTION TO SCHRÖDER AND UNKNOWN NUMBERS NICK DUFRESNE Abstract. I this article we will itroduce two types of lattice paths, Schröder paths ad Ukow paths. We will examie differet properties of each,

More information

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense, 3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [

More information

Bayesian Estimations on the Burr Type XII Distribution Using Grouped and Un-grouped Data

Bayesian Estimations on the Burr Type XII Distribution Using Grouped and Un-grouped Data Austalia Joual of Basic ad Applid Scics, 5(6: 525-53, 20 ISSN 99-878 Baysia Estimatios o th Bu Typ XII Distibutio Usig Goupd ad U-goupd Data Ima Mahdoom ad Amollah Jafai Statistics Dpatmt, Uivsity of Payam

More information

CHAPTER 10 INFINITE SEQUENCES AND SERIES

CHAPTER 10 INFINITE SEQUENCES AND SERIES CHAPTER 10 INFINITE SEQUENCES AND SERIES 10.1 Sequeces 10.2 Ifiite Series 10.3 The Itegral Tests 10.4 Compariso Tests 10.5 The Ratio ad Root Tests 10.6 Alteratig Series: Absolute ad Coditioal Covergece

More information

Chapter Five. More Dimensions. is simply the set of all ordered n-tuples of real numbers x = ( x 1

Chapter Five. More Dimensions. is simply the set of all ordered n-tuples of real numbers x = ( x 1 Chatr Fiv Mor Dimsios 51 Th Sac R W ar ow rard to mov o to sacs of dimsio gratr tha thr Ths sacs ar a straightforward gralizatio of our Euclida sac of thr dimsios Lt b a ositiv itgr Th -dimsioal Euclida

More information

Chapter Taylor Theorem Revisited

Chapter Taylor Theorem Revisited Captr 0.07 Taylor Torm Rvisitd Atr radig tis captr, you sould b abl to. udrstad t basics o Taylor s torm,. writ trascdtal ad trigoomtric uctios as Taylor s polyomial,. us Taylor s torm to id t valus o

More information

Ordinary Differential Equations

Ordinary Differential Equations Basi Nomlatur MAE 0 all 005 Egirig Aalsis Ltur Nots o: Ordiar Diffrtial Equatios Author: Profssor Albrt Y. Tog Tpist: Sakurako Takahashi Cosidr a gral O. D. E. with t as th idpdt variabl, ad th dpdt variabl.

More information

Lecture 10: Bounded Linear Operators and Orthogonality in Hilbert Spaces

Lecture 10: Bounded Linear Operators and Orthogonality in Hilbert Spaces Lecture : Bouded Liear Operators ad Orthogoality i Hilbert Spaces 34 Bouded Liear Operator Let ( X, ), ( Y, ) i i be ored liear vector spaces ad { } X Y The, T is said to be bouded if a real uber c such

More information

International Journal of Mathematics Trends and Technology (IJMTT) Volume 47 Number 1 July 2017

International Journal of Mathematics Trends and Technology (IJMTT) Volume 47 Number 1 July 2017 Iteatioal Joual of Matheatics Teds ad Techology (IJMTT) Volue 47 Nube July 07 Coe Metic Saces, Coe Rectagula Metic Saces ad Coo Fixed Poit Theoes M. Sivastava; S.C. Ghosh Deatet of Matheatics, D.A.V. College

More information

Application 10.5D Spherical Harmonic Waves

Application 10.5D Spherical Harmonic Waves Applicatio 10.5D Spherical Haroic Waves I probles ivolvig regios that ejoy spherical syetry about the origi i space, it is appropriate to use spherical coordiates. The 3-diesioal Laplacia for a fuctio

More information

New Advanced Higher Mathematics: Formulae

New Advanced Higher Mathematics: Formulae Advcd High Mthmtics Nw Advcd High Mthmtics: Fomul G (G): Fomul you must mmois i od to pss Advcd High mths s thy ot o th fomul sht. Am (A): Ths fomul giv o th fomul sht. ut it will still usful fo you to

More information

15/03/1439. Lectures on Signals & systems Engineering

15/03/1439. Lectures on Signals & systems Engineering Lcturs o Sigals & syms Egirig Dsigd ad Prd by Dr. Ayma Elshawy Elsfy Dpt. of Syms & Computr Eg. Al-Azhar Uivrsity Email : aymalshawy@yahoo.com A sigal ca b rprd as a liar combiatio of basic sigals. Th

More information

Potential Energy of the Electron in a Hydrogen Atom and a Model of a Virtual Particle Pair Constituting the Vacuum

Potential Energy of the Electron in a Hydrogen Atom and a Model of a Virtual Particle Pair Constituting the Vacuum Applid Physics Rsach; Vol 1, No 4; 18 ISSN 1916-9639 -ISSN 1916-9647 Publishd by Caadia Ct of Scic ad ducatio Pottial gy of th lcto i a Hydog Atom ad a Modl of a Vitual Paticl Pai Costitutig th Vacuum

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

Lecture 23: Minimal sufficiency

Lecture 23: Minimal sufficiency Lecture 23: Miimal sufficiecy Maximal reductio without loss of iformatio There are may sufficiet statistics for a give problem. I fact, X (the whole data set) is sufficiet. If T is a sufficiet statistic

More information

1 1 2 = show that: over variables x and y. [2 marks] Write down necessary conditions involving first and second-order partial derivatives for ( x0, y

1 1 2 = show that: over variables x and y. [2 marks] Write down necessary conditions involving first and second-order partial derivatives for ( x0, y Questio (a) A square matrix A= A is called positive defiite if the quadratic form waw > 0 for every o-zero vector w [Note: Here (.) deotes the traspose of a matrix or a vector]. Let 0 A = 0 = show that:

More information

Green Functions. January 12, and the Dirac delta function. 1 x x

Green Functions. January 12, and the Dirac delta function. 1 x x Gee Fuctios Jauay, 6 The aplacia of a the Diac elta fuctio Cosie the potetial of a isolate poit chage q at x Φ = q 4πɛ x x Fo coveiece, choose cooiates so that x is at the oigi. The i spheical cooiates,

More information

Numerical Methods for Ordinary Differential Equations

Numerical Methods for Ordinary Differential Equations Numerical Methods for Ordiary Differetial Equatios Braislav K. Nikolić Departmet of Physics ad Astroomy, Uiversity of Delaware, U.S.A. PHYS 460/660: Computatioal Methods of Physics http://www.physics.udel.edu/~bikolic/teachig/phys660/phys660.html

More information

Numerical Conformal Mapping via a Fredholm Integral Equation using Fourier Method ABSTRACT INTRODUCTION

Numerical Conformal Mapping via a Fredholm Integral Equation using Fourier Method ABSTRACT INTRODUCTION alaysia Joural of athematical Scieces 3(1): 83-93 (9) umerical Coformal appig via a Fredholm Itegral Equatio usig Fourier ethod 1 Ali Hassa ohamed urid ad Teh Yua Yig 1, Departmet of athematics, Faculty

More information

MATH : Matrices & Linear Algebra Spring Final Review

MATH : Matrices & Linear Algebra Spring Final Review MATH 3330-00: Matrices & Liear Algebra Sprig 009 Fial Review Hua Sha Gauss-Jorda Eliiatio [.] Reduced row-echelo for (rref Rak [.3] rak(a = uber of leadig s i rref(a di(i A = rak( A Liear Trasforatio i

More information

Solution: APPM 1360 Final Spring 2013

Solution: APPM 1360 Final Spring 2013 APPM 36 Fial Sprig 3. For this proble let the regio R be the regio eclosed by the curve y l( ) ad the lies, y, ad y. (a) (6 pts) Fid the area of the regio R. (b) (6 pts) Suppose the regio R is revolved

More information

Time : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120

Time : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120 Tim : hr. Tst Papr 8 D 4//5 Bch - R Marks : SINGLE CORRECT CHOICE TYPE [4, ]. If th compl umbr z sisfis th coditio z 3, th th last valu of z is qual to : z (A) 5/3 (B) 8/3 (C) /3 (D) o of ths 5 4. Th itgral,

More information

Statics. Consider the free body diagram of link i, which is connected to link i-1 and link i+1 by joint i and joint i-1, respectively. = r r r.

Statics. Consider the free body diagram of link i, which is connected to link i-1 and link i+1 by joint i and joint i-1, respectively. = r r r. Statcs Th cotact btw a mapulato ad ts vomt sults tactv ocs ad momts at th mapulato/vomt tac. Statcs ams at aalyzg th latoshp btw th actuato dv tous ad th sultat oc ad momt appld at th mapulato dpot wh

More information

Castiel, Supernatural, Season 6, Episode 18

Castiel, Supernatural, Season 6, Episode 18 13 Differetial Equatios the aswer to your questio ca best be epressed as a series of partial differetial equatios... Castiel, Superatural, Seaso 6, Episode 18 A differetial equatio is a mathematical equatio

More information

Solution to 1223 The Evil Warden.

Solution to 1223 The Evil Warden. Solutio to 1 Th Evil Ward. This is o of thos vry rar PoWs (I caot thik of aothr cas) that o o solvd. About 10 of you submittd th basic approach, which givs a probability of 47%. I was shockd wh I foud

More information

ABOUT CHAOS AND SENSITIVITY IN TOPOLOGICAL DYNAMICS

ABOUT CHAOS AND SENSITIVITY IN TOPOLOGICAL DYNAMICS ABOUT CHAOS AND SENSITIVITY IN TOPOLOGICAL DYNAMICS EDUARD KONTOROVICH Abstract. I this work we uify ad geeralize some results about chaos ad sesitivity. Date: March 1, 005. 1 1. Symbolic Dyamics Defiitio

More information

Lacunary Almost Summability in Certain Linear Topological Spaces

Lacunary Almost Summability in Certain Linear Topological Spaces BULLETIN of te MLYSİN MTHEMTİCL SCİENCES SOCİETY Bull. Malays. Mat. Sci. Soc. (2) 27 (2004), 27 223 Lacuay lost Suability i Cetai Liea Topological Spaces BÜNYMIN YDIN Cuuiyet Uivesity, Facutly of Educatio,

More information

A PROBABILITY PROBLEM

A PROBABILITY PROBLEM A PROBABILITY PROBLEM A big superarket chai has the followig policy: For every Euros you sped per buy, you ear oe poit (suppose, e.g., that = 3; i this case, if you sped 8.45 Euros, you get two poits,

More information

Ordinary Differential Equations

Ordinary Differential Equations Ordiary Diffrtial Equatio Aftr radig thi chaptr, you hould b abl to:. dfi a ordiary diffrtial quatio,. diffrtiat btw a ordiary ad partial diffrtial quatio, ad. Solv liar ordiary diffrtial quatio with fid

More information

Lecture 8: October 20, Applications of SVD: least squares approximation

Lecture 8: October 20, Applications of SVD: least squares approximation Mathematical Toolkit Autum 2016 Lecturer: Madhur Tulsiai Lecture 8: October 20, 2016 1 Applicatios of SVD: least squares approximatio We discuss aother applicatio of sigular value decompositio (SVD) of

More information

CDS 101: Lecture 5.1 Reachability and State Space Feedback

CDS 101: Lecture 5.1 Reachability and State Space Feedback CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray 7 Octobr 3 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls Dscrib th dsig o

More information