Movement control of nonrigid mechanical systems with a changing vector of parameters and number of freedom degrees
|
|
- Barbra Robertson
- 5 years ago
- Views:
Transcription
1 Movee corol of org echacal syses wh a chagg vecor of paraeers a ber of freeo egrees V.Y. Rovsy, V.M. Shaov, V.M. Glov Absrac. The paper scsses he peclares of he corolle ovee yacs of fleble echacal syses wh e-varyg ber of freeo egrees. The sraeges seqece of sch osaoary obecs corol s sae. These sraeges garaee he hgh accracy of he corol a apg of he elasc oscllaos. Bloc schees of he corol syse are sggese ha realze hese corol sraeges a ffere sages of he obec. I. INTRODUCTION AND STATEMENT OF A TASK May ffere ypes of ovg echacal obecs ha clearly ehb he properes of fleble l-freqecy oscllag syses wh screely e-varyg ber of freeo egrees are well ow. Typcal eaples of sch echacal syses (MS) are he orb-asseble large space srcres (LSS) []. Space a erwaer roboc oles ha chage her srcre rg he operao a have log fleble aplaor ls or fleble payloas ca be cosere as sch obecs. Slar yacs ehb eoc lsory blgs ha are cosrce o ovg basee wh acve sably syses []. These obecs are creae earhqae-proe zoes. A prcpal feare of sch MS s a rg carrer boy (a boy) a aache o hrogho he assebly soe fleble elees (carre boes). Sch cosrco aes possble o solve he corol probles of screely evolvg srcre (DES) wh he se of eqaos ha are shape as a seqece of oel-physcal oels (MPM) [3] M : = (); + = (), =,, (, N); () = +, = ; ( ) = M( ) I, = where ϑ q s he corolle coorae of he carrer boy; s he coorae of he rasfer (rg) oo; s he aoal oo of he carrer boy e o he flece of he fleble elees;, are he faeal freqeces a he ecably coeffces of he elasc oes; s he ber of he fleble carre elees a he -h sage of he assebly; N s he oal ber of aache elees; M () s he corol aco; s he corol Sppore by Rssa Foao for Basc Research (Proec ). V.Y. Rovsy, V.M. Shaov, V.M. Glov, Ise of Corol Sceces, Rssa Acaey of Sceces, Profsoyzaya 65, 7997, Moscow, Rssa Tel: ; e-al : rov@p.rss.r law (he p sgal of he oreao syse acaor evce); I = Ic( ) s he era oe of he cosrco a he -h sage of he assebly, M, ( =,,,..., N) efes MPM of he obec a he -h sage of s assebly he orb. Ie = efes he MPM of he carrer boy: M : = ( ), ( ) = M( ) I. () A hs sage, carrer boy s se p, oree a sablze wh he accracy, whch s ee for he e assebly sages. Wh creasg he vale of, he oel () becoes ore coplcae sce he ber of freeo egrees a he era oe also crease. Accorg o he geeral Raylegh s heore, a cree of he era oe leas o ecrease freqeces. They close wh he freqecy of he "rg" corolle oo. I s well ow ha, as a resl, a qaly corol becoes probleac a oo sably ay arse. Ths sably ca be case by he "capre" of he reglaor by elasc oscllaos. A = N eqaos () efes copleely asseble cosrco. The above scsso sggess ha, whe esgg he corol syse, he followg hree qalavely ffere ypes of he corolle obec coo shol be sgshe.. The al ype ( = ) volves he carrer boy oreao wh respec o he reqre reco a s sablzao wh accracy ha s ecessary for he frher assebly.. Oce he frs cosrco fleble elee ( = ) a soe oher fleble elees ( * ) are aache o he asseble obec ha begs ehb he properes of a fleble MS, whch s characerze by he presece of oe or several coparavely hgh-freqecy ( Hz) vbrao oes. 3. As he ber of he fleble elees creases ( * < N), he asseble cosrco rs o a har-ocorol syse. Sch syse s sgshe by a bg era oe of he aache boes a low elasc oes freqeces (<, Hz). These freqeces close wh he faeal freqecy of he "rg" oo of he obec. I he paper he followg ass are solve: he rasforao of yacal properes of a screely evolvg srcre ha s beg chage accorace wh prescrbe cosrco assebly seqece; eerao of he rasforao boares Bewee he boares he asseble cosrco reas he properes ha correspo o oe of hree aforeeoe ypes of he syse coo: a) rg boy, b) fleble obec wh sgfcaly affece syse yacs of he cosrco elasc oscllaos, c) fleble l-freqecy cosrco ha reqres a eeso of he observao
2 vecor, so ha he esre corolle yacs ca be acheve; he corol syse esg of screely evolvg fleble obec wh he se of he seqece of algorhs ha correspo o he obec coo a plee a sable corol of he a boy wh regars o elasc oscllaos a prove a hgh accracy o all sages of he assebly. II. TRANSFORMATION OF THE DES DYNAMICAL PROPERTIES For brevy as he corol obec wll be cosere he cosrco of "brella" ype [3] ha s show Fg.. Ths cosrco s sable for escrbg sch obecs as с y о ϑ α о y o o ϕ y y b of he aforeeoe sprgs. K s = N = s he oal ber of he cosrco elees. Trasforao of he yacal properes of he DES ereae srcres ca be reflece by he MPM () coeffces,, I ( ), =, ; =, N. Calclao of c hese coeffces a bg vales of he ber reqres ch e. For solvg of he as ha s efe he rasforao of he DES yacal properes hrogho he assebly s covee o se he pacage of progras [3] for coper ervao of he DES aheacal graphoel. As he op proc of hs pacage, oreover of coper vsalzao he graph-oel, we have wo raglar arces =, = a row ar ( I ) =..., =, N. I I I I I Fg. s show he eaple of hs pacage se for he "spral" ype of he obec assebly (Fg. 3) wh he paraeers: K=, =, s, ( s = 5), =, K, = g = 5 g, I = 5 g, r =,5 ;, l =, =, 6 (all elees are he sae). Fg..Crre srcre of he DES. he bg space rao-elescopes a space solar-reflecors [,]. As he MS s he oaly of rg boes oe of he s he carrer boy (, I ). Ohers (carre boes,, I ) are he elees ha are aache o he carrer boy oe or aoher orer. A he aachg pos of he elees here are he sprgs ha ae he flebly of he carre boes a resrc her splacees. Frher plaeparallel oo of all boes s cosere. For efeess he reglar srcre s cosere (for eaple bg copo reflecor []). Raally (Fg. ) K chas are aache o he carrer boy a he pos o ( α, r = oo, =, K ). Each he -h cha has s coece ae rg elees of a pvo ype. The paraeers of he elees are:, I, l, r (ass, oe of era, legh a he sace fro he po o o s ceer of ass, =,,...,,..., s, s he ber of he elee he -h cha, s s he ber of he las elee whe he cha s o copleely asseble ye). Cha eforaos s efe by he elascy coeffces a) b) c) ( ) a ( ) Fg.. Chagg of he MPM coeffces hrogho he obec assebly. Fg. a shows ha he faeal freqeces rage of he elasc oscllaos we as he ber creases. A hs he lowes freqecy ( ) ecreases ha leas µ I ( ) с
3 ε o cog ogeher he freqecy wh he freqecy ( ) of rg oo. he syse). Ths leas o sep-wse cog ogeher freqeces a (, 4 ). Ths cog ogeher of aforeeoe freqeces occrs also for ore geeral case of PD corol of lfreqecy obecs. I Fg. 5 s show he eaple of coper cosrce of he raecory hoograph of he characersc eqao roos he space of hree esos ( α,, ). Alog he hr as ha coplees he plae of cople varable o orhogoal rhero he ber of aache elee s p ase. Sch approach o he aalyss λ Fg. 3. The "spral" ype of he obec asse = Sary coeffce of elasc oscllaos ecably () = [( Iс() I) ] a he egree of ecably µ ( ) = wh a he cree of he ber crease also. Ths fac caes ha srbg flece of he elasc oscllaos o he corol qaly grows, he cosrco rs o he har-o-corol syse a s reqre o have ore perfec corol algorh. Le s coser he process of cog ogeher of he lowes freqecy a he freqecy of he rg oo (rg obec wh he oe of era Iс( )) a PD corol algorh. I hs case ( ) = M( ) Ic ( ) = ( + ). The freqecy s efe by characersc eqao p + I ()( ) с + p =, p=. Obae wh he help of coper he graph ( ) = ( ) ( ) of cog ogeher he freqeces a s show Fg. 4. I s obvos ha a he assebly of he frs row elees ( =,, = ) he freqeces a coe ogeher slowly ( ( ),). Ths s eplae by sall cree of he sary oe of era. A he aachg he frs elee of he seco row ( = 3 ) he oe of era I creases sgfcaly (proporoally o sqare of he 3 sace of he aache ass fro he ceer of era of,4,,,8,6,4,, = ( ) Fg. 4. The graph of freqeces a cog ogeher. α ε λ Fg. 5. The roos raecory hrogho DES assebly. of he syse yacal properes aes possble o coec he cofgrao of he roos srbo wh he crre vale of he ber. Fg. 5 llsraes he geeral eaple of he raecory behavor of he syse () characersc eqao roos λ ( ) = α ± a roos λ ( ) = α ± wh lear PD corol algorh a =, 6. The bg sace bewee of he raecory al pos of he roos λ ( ) a λ( ) alog he as shows esseal flece of he oa oe ~ ( ) o he rg boy ovee (). A creasg of he ber aforeeoe propery s reae val oly a low. A passage fro oe row of he assebly o he e row s occrre p-le characer of he cog ogeher he freqeces a. The sace ecreases a fro a vale of he ber * ( or eaple * = 36 ) he sace bewee he roos becoes oo lle ( ε ) orer o garaee esre yacs of he corolle DES a s ecessary o se ore coplcae corol algorh. III. CONTROL STRATEGY TRANSFORMATION THROUGHOUT THE DES ASSEMBLY Above was eere he presece of hree ypes of he corolle obec coo hrogho s assebly: rg boy elasc MS esseally fleble MS. For each ype of he obec coo s reqre parclar approach o he corol algorh esg. λ
4 A. The sraegy of he DES corol he al sage of s coo For realzao of he reqre qaly of he obec corol frs of all he base corol algorh (,, ) s syhesze. A leas hs algorh s garaee esre yacs rg he frs phase of he DES esece as he rg boy. Maheacal oel of he rg obec correspos o eqao (). For he cocreeess of he vesgao a ag o acco ha alos all corol syses se he o-boar coper scree aalog of PD algorh s chose as base oe ( ) = [ ˆ( ) + ˆ( )], =,,,...,. (3) The se of hs scree algorh leas very ofe o he ecao of he cosrco elasc oscllaos. I (3) ˆ( ) he esao of he easre coorae. For he process of esao s se s vales of he coorae (), =, s, rg he screeess pero T. The vale ˆ( ) s calclae as he frs fferece of he coorae ˆ( ). As he syse s scree he corol aco () s scoos a s cosa rg he screeess pero T. Throgho rege of he obec sablzao ha s he a oe ea zoes a hyseress he acaor evce characerscs lea o he ao-oscllaos. Toay here are ay well-ow algorhs ha garaee esre yacs of he sablzao processes (, χ=τ τ χ *, τ s he par of he sable l cycle pero τ whe a (), τ s he oe whe Γ ( ) =, χ * s he assble vale of he coeffce of he l cycle qaly). The ovee ha correspos o hs l cycle ca be cosere as he referece oe. Sce s reqre ha he flece of he elasc oscllaos o he syse yacs wll be eglgble = ε, (4) all rase processes hrogho he obec assebly s e o he referece ovee. B. The sraegy of he DES corol he sage of he elasc MS Oce he frs fleble elee ( = ) a soe oher oes ( ) are aache o he carrer boy he obec rs o elasc MS. Usally a hs case scree base corol eces elasc oscllaos of he cosrco ha efor he sable l cycle a, as he resl, coo (4) s broe. The corol accracy ecreases. Who rasforao of he corol sraegy he hgh aple of he elasc oscllaos ca be as a corse of he syse sably [5]. The oher proble for he elasc MS corol s crease of he DES era oe (Fg., c) ha leas o ecrease of he corol aco effecveess a o crease of he yac errors. A las he a proble he corol algorh syhess for hs sage of he obec coo s creasg hrogho he assebly eso of oel (), p-le chagg all s coeffces a ecrease of he. a a Γ Iaccracy of he DES echacal paraeers calclao he syse esgg (a coseqely of oel () coeffces) a he sae for he al vales of he ew elasc oes ha occr a each e sage of he obec assebly reqre o oly rasforao of he corol sraegy b he se of aapve corol. A he sall vales of he ber he faeal freqeces of he elasc oscllaos are coparavely hgh a far away fro he freqecy of he "rg" oo (Fg. 5). I hs case s covee o apply as a corol sraegy he approach wh he se of ellge agosc [6]. Ths approach es he g of he base algorh ha garaees boh he "rg" oo sablzao a he elasc oscllaos apg. The essece of hs approach s followg. I s wellow [5] ha he ecao of he elasc oscllaos occrs a each swchg of he scree corol aco. Iesy of he oscllaos ρ () = (), whe ecees soe crcal level ρ, leas o sably of he corol syse cr (aly a he epese of he oa oe creasg). Coseqely, he vale ρ () a he eqaly ρ() < ρ ca be se boh for agoscs of he syse cr coo a as he corol sgal a = f( ρcr ρ( )) he loop of he base algorh (,,, λ) paraeer λ g (aapao). A hs he base algorh flece o he oscllag copoe = + of he oel () ca be esae by qasevelope ρ(, λ) = Ev[((, λ),)] a erval ha s eqal o several peros of he l cycle. Ths qasevelope afer wo-sage approao ca be presee by epoeal crve ρ(, λ) = Ev[((, λ),)]. The vale of epoeal crve e ν ( λ ) efes he rae of he oa oe aple chagg. The sg ν ( λ ) efes he characer of hs chagg. A sgν = he oa oe coverges, a sgν = + verges. Ths, for ay fe vale λ [ λ, λa ], ([ λ, λ a ] s assble rage of he paraeer λ g) he reglaor flece o he elasc copoe () ca be efe by he sgle ber ν = ν( λ ). Chagg he vale λ a calclag he e ν ( λ ) we oba "oel" fco ν ( ) = ν λ ca be obae. Ths fco esaes he base algorh flece o he obec of he elasc oscllaos. Toaly of he "oel" fcos ϒ = { ν ( λ)}, ( =, ; * ), each of ha has soe local eres (clg global ), s se as a foraoal sofware for he ellge agoscs sbsyse of he oscllao copoe () crre coo a for g of he base algorh paraeer λ. I [6] was show ha for esgg of he DES corol syse a each sage of he obec assebly s ecessary o solve he e wo ass: ) o efe he ber of he oa oe sg he efe vale of s freqecy ; ) o choose fro he oaly ϒ = { ν ( λ)}, ha s ep he coper as he owl-
5 ege base, he correspog o ber "oel" fco ν ( λ ) a o choose ew vale of he paraeer λ [ λ, λa] ha garaees he flflle of wo coos sg[ ν ( λ )] = a ν( λ) = ν. A hs case he ew corol aco [ (, λ)] reas goo qaly of he corol of he obec rg ovee a a he sae e realzes aal rae of he oa oe apg. Bloc schee of he sablzao syse of he DES as he fleble MS ha has aoal loop of he oscllag copoe agoscs a aapve correco of he base algorh s show Fg. 6. Base loop DES Corol evce K Dgal sesor z = [ ] Base algorh ([],, λ ) λ ν Iforao ole of he sbsyse of he base algorh g z () Ic Daa base ϒ = { ν ( λ)} a sbsyse of he paraeer λ g Fg. 6. Bloc schee of he aapve sablzao syse of he DES as he ce l he sa * = + τ whe he aforeeoe phase wll be as opal. Ths e- fleble MS. Here he aplfcao coeffce K ( ) of he corol elay ca be roce oly a par of swchg pos. evce s g accorg o he vale of he era oe Opal phase s he phase a whch he oa I ( ) c ha s calclae avace. Ths g realzes oe's aple afer he swchg wll be he salles cosacy of he corol aco effecveess fro all possble oes. I epes o he reco of he corol aco swchg. The opal phase s efe as ( ) = cos, N hrogho all sages of he obec's assebly. Aforeeoe procere of he qase- follows [7]: ( ) velope ρ() ae ν λ esao s realze he forao ole of he sbsyse of he base algorh g. π sg =+, = (5) π ( + ) sg =, =,,,... Ths ole has efcao evce of he oa oe freqecy a he evce of he e ν (, λ ) calclao. As For eaple he vale of he e-elay τ he p sgal s se he ae base Z ha cosss of he swchg po ha s characerze by he coo he base aa z[] l (aples of he recfe sgal (( )) = ε, sg ( ) = (ε s he ea zoe of he relay fco) wll be as follows: zl, ) a he ae base T = { [ l]}. I he rege of he oa oe he ffereces [] l = { [] l [ l ]},5 [ π ( )] π, τ τ = (6) of he aace elees of he base aa T = { [ l]} coce wh he sepero,5 τ [3 π ( )] π < π, of he oscllao copoe ha has aal aple. Afer he average operasa whe ( where = ( ) s he oa oe phase a he - ) = ε. L o τ = [] l, ( L = T ) he oa oe I [7] was show ha for he syse ovee sably L opal phase of swchg s be a leas a he oe-half of = he swchg pos ha occr a each pero of he l freqecy = πτ ca be calclae. For he eerao of he oa oe ber he ffereces Fg. 7. The a loop of he corol syse s epce by a = cycle. Bloc schee of sch ype corol syse s show are aalyze a s asse = o le. Ths loop cles a aoal l wh wo g paraeers K ( =, ) for = =., τ. The frs paraeer K s he g aplfcao coeffce ha s eee for he aeace Correce corol aco [ (, λ)] aps oa of he cosa level of he corol aco = MKIc ( ) oe by opal way. A he sae e oher elasc oes wh he varable ass-era properes of he asseble ca be crease a oe of he wll be as ew oa obec. oe. The he process of he paraeer λ g s repeae. Descrbe processes of seqeal apg of he oa oes ae place hrogho he obec assebly a o o reqre aoal cospo eergy for corol. C. The sraegy of he DES corol he sage of he esseally fleble MS The a efcecy of he prevos sraegy of corol hs sage of he obec's presece s possbly o esae he qesevelope ρ() T rg he observao erval sr ha s accepable for corol. Ths s he resl of cog ogeher he lowes freqecy of he elasc oscllaos wh he freqecy of he "rg" ovee (Fg. 5). A hs case resoace processes ca occr a he syse becoes sable. As he base of he sraegy of corol for he esseally fleble MS ca be se he oe ha was sggese [7]. I hs ype of corol s se he esaos of he oa oe phases he sas of he corol aco swchg. The e-elay τ for corol aco swchg s ro-
6 The seco g coeffce τ plees he corol by he e-elay of he relay corol aco, whch swches wh respec o he base algorh reqrees. The esao of crre phase of he oa oe s obae wh he help of Kala fler [8]. The eaple of coper slao of he sggese syse for oe sage of he obec assebly s show Fg. 8. As he obec correspog o eqaos () a = 6 was chose he large space srcre wh he era oe 4 I ( = 6) = g. Oher paraeers are gve he able. c As he oa oe a he al sage of he corol was. Ths oe s sbece o he corol aco flece he os srogly becase s egree of ecably () µ = =,88 he os hgh. A al erval of he slao ( = c) he loop of e-elay of he corol aco swchg was o operae. I hs case he corol aco ( ) cases he crease of he elasc oe aple o he vale 3 A, ra ha s close o he crcal oe. осц. осц. осц.3 DES Base loop Corol evce Dgal sesor K, τ [] os Kala fler z= [] ẑ Base algorh = (,) z - z Iforao ole of he corol syse by e-elay swchg Fg. 7. Bloc-schee of corol syse for DES as he ( ), =,6 (, ) τ Ic () =, f = π,7,,5,5,8 5,,7,3,5,,4, (),5,5,,,5,3 Fg. 8. Processes a rege of sablzao DES a phase corol for a case =. I orer o preve he capre of he reglaor by elasc oscllaos a sably of he syse ovee a = c he algorh of phase corol [ (,, )] was apple. The ervals of he e-elay of he corol aco swchg are shae (see oscllogra ). As he resl he oa oe aple was ecrease very qcly. IV. CONCLUSION Sggese approaches ha realze aapve correco of he base algorh wh sg he elees of ellge agoscs a he eho of phase corol garaee apg of elasc oscllaos who creasg cospo of he eergy for corol. Refereces.. Beey I. A ereely large ye lra lghwegh space elescope a array. (Feasbly assesse of a ew cocep). Beey Desgs, Ic.4645 Qarer Charge Dr. Aaale, VA 3, Saleh A., Ael H. Opal corol of aapve/sar lsory blg srcres. Joral of Coper- Ae Cvl a Ifrasrcre Egeerg, 3, 998, P Rovsy V.Y., Krova I.N., Shaov V.M., Glov V.M. Graph-oels of orbal assebly a yacs of a large space srcre. // Proceegs of 6-h IFAC Sypos o Aoac Corol Aerospace. Preprs, v. (E. A. Nebylov). 4. pp Byaas V.I. Mlrror corollable srcres // Space researches, v.8, 5, 99, P ( Rssa). 5. Rovsy V.Y., Shaov V.M., Specfc relay corol of fleble saelles Proceegs of he 5-r IFAC Sypos o Aoac Corol Space, Geoa Rovsy V.Y., Zelyaov S.D., Shaov V.M., Glov V.M. The esg eho of robs corol by fleble spacecraf. 6-h Cogress IFAC, Prage, Czech, Jly 4-8, 5. Fll paper (Mo-E-TO/6) o CD-ROM. 7. Rovsy V.Y., Shaov V.M. Ae corol algorhs fleble saelles sg forao o he phase of elasc oscllaos. Proceegs of he 6-r IFAC Sypos o Aoac Corol Space Yerlova T.V., V.M. Shaov, A.S. Yerlov, V.G. Borsov Recrre esao of he agle oo cooraes of fleble obecs of aerospace echqes // Joral Aerospace eqpe, 6, 4, P ( Rssa).
NUMERICAL EVALUATION of DYNAMIC RESPONSE
NUMERICAL EVALUATION of YNAMIC RESPONSE Aalycal solo of he eqao of oo for a sgle degree of freedo syse s sally o ossble f he excao aled force or grod accelerao ü g -vares arbrarly h e or f he syse s olear.
More informationELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University
ecre Noe Prepared b r G. ghda EE 64 ETUE NTE WEE r. r G. ghda ocorda Uer eceraled orol e - Whe corol heor appled o a e ha co of geographcall eparaed copoe or a e cog of a large ber of p-op ao ofe dered
More informationChapter 1 - Free Vibration of Multi-Degree-of-Freedom Systems - I
CEE49b Chaper - Free Vbrao of M-Degree-of-Freedo Syses - I Free Udaped Vbrao The basc ype of respose of -degree-of-freedo syses s free daped vbrao Aaogos o sge degree of freedo syses he aayss of free vbrao
More informationSolution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs
Aalable a hp://paed/aa Appl Appl Mah ISS: 9-9466 Vol 0 Isse (Deceber 0) pp 04- Applcaos ad Appled Maheacs: A Ieraoal Joral (AAM) Solo o Soe Ope Probles o E-sper Verex Magc Toal Labelg o Graphs G Marh MS
More informationContinuous Time Markov Chains
Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,
More informationIntegral Form of Popoviciu Inequality for Convex Function
Procees of e Paksa Acaey of Sceces: A. Pyscal a ozaoal Sceces 53 3: 339 348 206 oyr Paksa Acaey of Sceces ISSN: 258-4245 r 258-4253 ole Paksa Acaey of Sceces Researc Arcle Ieral For of Pooc Ieqaly for
More informationThe ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.
C. Trael me cures for mulple reflecors The ray pahs ad rael mes for mulple layers ca be compued usg ray-racg, as demosraed Lab. MATLAB scrp reflec_layers_.m performs smple ray racg. (m) ref(ms) ref(ms)
More informationSolution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations
Joural of aheacs ad copuer Scece (4 39-38 Soluo of Ipulsve Dffereal Equaos wh Boudary Codos Ters of Iegral Equaos Arcle hsory: Receved Ocober 3 Acceped February 4 Avalable ole July 4 ohse Rabba Depare
More informationAsymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse
P a g e Vol Issue7Ver,oveber Global Joural of Scece Froer Research Asypoc Behavor of Soluos of olear Delay Dffereal Equaos Wh Ipulse Zhag xog GJSFR Classfcao - F FOR 3 Absrac Ths paper sudes he asypoc
More informationAxiomatic Definition of Probability. Problems: Relative Frequency. Event. Sample Space Examples
Rado Sgals robabl & Rado Varables: Revew M. Sa Fadal roessor o lecrcal geerg Uvers o evada Reo Soe phscal sgals ose cao be epressed as a eplc aheacal orla. These sgals s be descrbed probablsc ers. ose
More informationSystematic Configuration Procedure of LMI-Based Linear Anti-windup Synthesis
Sysemac Cofgrao Procere of LMI-Base Lear A-p Syhess a a a Jgcheg Wag Absrac I hs paper, a ovel sysemac cofgrao procere choosg parameers s presee for he syhess of lear a-p scheme by revsg he orgal goal
More information14. Poisson Processes
4. Posso Processes I Lecure 4 we roduced Posso arrvals as he lmg behavor of Bomal radom varables. Refer o Posso approxmao of Bomal radom varables. From he dscusso here see 4-6-4-8 Lecure 4 " arrvals occur
More informationGENERATOR PARAMETER IDENTIFICATION USING AN EXTENDED PARTICLE SWARM OPTIMISATION METHOD
Corol 004, Uversy of Bah, UK, Sepeber 004 ID- GNRAOR PARAMR IDNIFICAION USING AN XNDD PARICL SWARM OPIMISAION MHOD J. S. Hu, C. X. Guo, Y. J. Cao* (College of lecrcal geerg, Zheag Uversy, Hagzhou 3007,
More informationDesign of observer for one-sided Lipschitz nonlinear systems with interval time-varying delay
WSEAS RANSACIONS o SYSES a CONROL Waju Lu Yal Dog Ska Zuo Desg of observer for oe-se Lpscz olear syses w erval e-varyg elay WANJUN LIU YALI DONG SHIKAI ZUO Scool of Scece aj Polyecc Uversy aj 8 CHINA ogyl@vp.sa.co
More informationTurbo Coded MIMO Multiplexing with Iterative Adaptive Soft Parallel Interference Cancellation
Turbo Coe MIMO Mulplexg wh Ierave Aapve Sof Parallel Ierferece Cacellao Akor akaja, eepshkha Garg, a Fuyuk Aach ep. of Elecrcal a Coucaos Egeerg Tohoku Uversy, Sea, Japa akaja@oble.ece.ohoku.ac.jp Absrac
More informationChapter 3: Maximum-Likelihood & Bayesian Parameter Estimation (part 1)
Aoucemes Reags o E-reserves Proec roosal ue oay Parameer Esmao Bomercs CSE 9-a Lecure 6 CSE9a Fall 6 CSE9a Fall 6 Paer Classfcao Chaer 3: Mamum-Lelhoo & Bayesa Parameer Esmao ar All maerals hese sles were
More informationComputational Fluid Dynamics CFD. Solving system of equations, Grid generation
Compaoal ld Dyamcs CD Solvg sysem of eqaos, Grd geerao Basc seps of CD Problem Dscrezao Resl Gov. Eq. BC I. Cod. Solo OK??,,... Solvg sysem of eqaos he ype of eqaos decdes solo sraegy Marchg problems Eqlbrm
More informationChapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are
Chaper 6 DCIO AD IMAIO: Fndaenal sses n dgal concaons are. Deecon and. saon Deecon heory: I deals wh he desgn and evalaon of decson ang processor ha observes he receved sgnal and gesses whch parclar sybol
More informationA Second Kind Chebyshev Polynomial Approach for the Wave Equation Subject to an Integral Conservation Condition
SSN 76-7659 Eglad K Joural of forao ad Copug Scece Vol 7 No 3 pp 63-7 A Secod Kd Chebyshev olyoal Approach for he Wave Equao Subec o a egral Coservao Codo Soayeh Nea ad Yadollah rdokha Depare of aheacs
More informationDetermination of Antoine Equation Parameters. December 4, 2012 PreFEED Corporation Yoshio Kumagae. Introduction
refeed Soluos for R&D o Desg Deermao of oe Equao arameers Soluos for R&D o Desg December 4, 0 refeed orporao Yosho Kumagae refeed Iroduco hyscal propery daa s exremely mpora for performg process desg ad
More informationModeling of the linear time-variant channel. Sven-Gustav Häggman
Moelg of he lear me-vara chael Sve-Gusav Häggma 2 1. Characerzao of he lear me-vara chael 3 The rasmsso chael (rao pah) of a rao commucao sysem s mos cases a mulpah chael. Whe chages ae place he propagao
More informationFinal Exam Applied Econometrics
Fal Eam Appled Ecoomercs. 0 Sppose we have he followg regresso resl: Depede Varable: SAT Sample: 437 Iclded observaos: 437 Whe heeroskedasc-cosse sadard errors & covarace Varable Coeffce Sd. Error -Sasc
More informationMathematical Formulation
Mahemacal Formulao The purpose of a fe fferece equao s o appromae he paral ffereal equao (PE) whle maag he physcal meag. Eample PE: p c k FEs are usually formulae by Taylor Seres Epaso abou a po a eglecg
More informationThe Linear Regression Of Weighted Segments
The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed
More informationVISCOSITY APPROXIMATION TO COMMON FIXED POINTS OF kn- LIPSCHITZIAN NONEXPANSIVE MAPPINGS IN BANACH SPACES
Joral o Maheaical Scieces: Advaces ad Alicaios Vole Nber 9 Pages -35 VISCOSIY APPROXIMAION O COMMON FIXED POINS OF - LIPSCHIZIAN NONEXPANSIVE MAPPINGS IN BANACH SPACES HONGLIANG ZUO ad MIN YANG Deare o
More informationSOLUTION OF PARABOLA EQUATION BY USING REGULAR,BOUNDARY AND CORNER FUNCTIONS
SOLUTION OF PAABOLA EQUATION BY USING EGULA,BOUNDAY AND CONE FUNCTIONS Dr. Hayder Jabbar Abood, Dr. Ifchar Mdhar Talb Deparme of Mahemacs, College of Edcao, Babylo Uversy. Absrac:- we solve coverge seqece
More informationDelay-Dependent Robust Asymptotically Stable for Linear Time Variant Systems
Delay-Depede Robus Asypocally Sable for Lear e Vara Syses D. Behard, Y. Ordoha, S. Sedagha ABSRAC I hs paper, he proble of delay depede robus asypocally sable for ucera lear e-vara syse wh ulple delays
More informationThe Properties of Probability of Normal Chain
I. J. Coep. Mah. Sceces Vol. 8 23 o. 9 433-439 HIKARI Ld www.-hkar.co The Properes of Proaly of Noral Cha L Che School of Maheacs ad Sascs Zheghou Noral Uversy Zheghou Cy Hea Provce 4544 Cha cluu6697@sa.co
More informationDESIGN OF OBSERVERS FOR A CLASS OF NONLINEAR SYSTEMS IN ASSOCIATIVE OBSERVER FORM
MODELLING SIMULATION AND IDENTIFICATION OF PROCESSES DESIGN OF OBSERVERS FOR A CLASS OF NONLINEAR SYSTEMS IN ASSOCIATIVE OBSERVER FORM Ü Koa T Mllar R Pearso Absrac Coos or he esece o a observer orm or
More informationFORCED VIBRATION of MDOF SYSTEMS
FORCED VIBRAION of DOF SSES he respose of a N DOF sysem s govered by he marx equao of moo: ] u C] u K] u 1 h al codos u u0 ad u u 0. hs marx equao of moo represes a sysem of N smulaeous equaos u ad s me
More informationLeast Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters
Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo
More informationGeometric Modeling
Geomerc Modelg 9.58. Crves coed Cc Bezer ad B-Sle Crves Far Chaers 4-5 8 Moreso Chaers 4 5 4 Tycal Tyes of Paramerc Crves Corol os flece crve shae. Ierolag Crve asses hrogh all corol os. Herme Defed y
More informationFor the plane motion of a rigid body, an additional equation is needed to specify the state of rotation of the body.
The kecs of rgd bodes reas he relaoshps bewee he exeral forces acg o a body ad he correspodg raslaoal ad roaoal moos of he body. he kecs of he parcle, we foud ha wo force equaos of moo were requred o defe
More informationCyclone. Anti-cyclone
Adveco Cycloe A-cycloe Lorez (963) Low dmesoal aracors. Uclear f hey are a good aalogy o he rue clmae sysem, bu hey have some appealg characerscs. Dscusso Is he al codo balaced? Is here a al adjusme
More informationNUMERICAL SOLUTIONS TO ORDINARY DIFFERENTIAL EQUATIONS
NUMERICAL SOLUTIONS TO ORDINARY DIFFERENTIAL EQUATIONS If e eqao coas dervaves of a - order s sad o be a - order dffereal eqao. For eample a secod-order eqao descrbg e oscllao of a weg aced po b a sprg
More informationDimension Reduction. Curse of dimensionality
Deso Reuco Deso Reuco Curse of esoaly h 5 feaures esos, each quaze o levels, creae 5 possble feaure cobaos, age ho ay saples you ee o esae p? ho o you vsualze he srucure a 5 esoal space? Oher probles ze
More informationReal-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF
EDA/DIT6 Real-Tme Sysems, Chalmers/GU, 0/0 ecure # Updaed February, 0 Real-Tme Sysems Specfcao Problem: Assume a sysem wh asks accordg o he fgure below The mg properes of he asks are gve he able Ivesgae
More informationθ = θ Π Π Parametric counting process models θ θ θ Log-likelihood: Consider counting processes: Score functions:
Paramerc coug process models Cosder coug processes: N,,..., ha cou he occurreces of a eve of eres for dvduals Iesy processes: Lelhood λ ( ;,,..., N { } λ < Log-lelhood: l( log L( Score fucos: U ( l( log
More informationFALL HOMEWORK NO. 6 - SOLUTION Problem 1.: Use the Storage-Indication Method to route the Input hydrograph tabulated below.
Jorge A. Ramírez HOMEWORK NO. 6 - SOLUTION Problem 1.: Use he Sorage-Idcao Mehod o roue he Ipu hydrograph abulaed below. Tme (h) Ipu Hydrograph (m 3 /s) Tme (h) Ipu Hydrograph (m 3 /s) 0 0 90 450 6 50
More informationAML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending
CUIC SLINE CURVES Cubc Sples Marx formulao Normalsed cubc sples Alerae ed codos arabolc bledg AML7 CAD LECTURE CUIC SLINE The ame sple comes from he physcal srume sple drafsme use o produce curves A geeral
More information( ) ( ) ( ( )) ( ) ( ) ( ) ( ) ( ) = ( ) ( ) + ( ) ( ) = ( ( )) ( ) + ( ( )) ( ) Review. Second Derivatives for f : y R. Let A be an m n matrix.
Revew + v, + y = v, + v, + y, + y, Cato! v, + y, + v, + y geeral Let A be a atr Let f,g : Ω R ( ) ( ) R y R Ω R h( ) f ( ) g ( ) ( ) ( ) ( ( )) ( ) dh = f dg + g df A, y y A Ay = = r= c= =, : Ω R he Proof
More information(1) Cov(, ) E[( E( ))( E( ))]
Impac of Auocorrelao o OLS Esmaes ECON 3033/Evas Cosder a smple bvarae me-seres model of he form: y 0 x The four key assumpos abou ε hs model are ) E(ε ) = E[ε x ]=0 ) Var(ε ) =Var(ε x ) = ) Cov(ε, ε )
More information( ) ( ) Weibull Distribution: k ti. u u. Suppose t 1, t 2, t n are times to failure of a group of n mechanisms. The likelihood function is
Webll Dsbo: Des Bce Dep of Mechacal & Idsal Egeeg The Uvesy of Iowa pdf: f () exp Sppose, 2, ae mes o fale of a gop of mechasms. The lelhood fco s L ( ;, ) exp exp MLE: Webll 3//2002 page MLE: Webll 3//2002
More informationMechanical Design Technology (Free-form Surface) April 28, /12
Mechacal Desg echolog Free-form Srface Prof. amos Mrakam Assgme #: Free-form Srface Geerao Make a program ha geeraes a bcbc eer srface from 4 4 defg polgo e pos ad dsplas he srface graphcall a a ha allos
More information( x) min. Nonlinear optimization problem without constraints NPP: then. Global minimum of the function f(x)
Objectve fucto f() : he optzato proble cossts of fg a vector of ecso varables belogg to the feasble set of solutos R such that It s eote as: Nolear optzato proble wthout costrats NPP: R f ( ) : R R f f
More informationInternational Journal of Theoretical and Applied Mathematics
Ieraoal Joral of heorecal ad Appled Maheacs 5; (: - Pblshed ole Je 3 5 (hp://wwwscecepblshggropco/j/ja do: 648/jja5 he Solvably of a New Bodary Vale Proble wh ervaves o he Bodary Codos for Forward- Backward
More information8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall
8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model
More informationSuppose we have observed values t 1, t 2, t n of a random variable T.
Sppose we have obseved vales, 2, of a adom vaable T. The dsbo of T s ow o belog o a cea ype (e.g., expoeal, omal, ec.) b he veco θ ( θ, θ2, θp ) of ow paamees assocaed wh s ow (whee p s he mbe of ow paamees).
More informationReliability Analysis. Basic Reliability Measures
elably /6/ elably Aaly Perae faul Œ elably decay Teporary faul Œ Ofe Seady ae characerzao Deg faul Œ elably growh durg eg & debuggg A pace hule Challeger Lauch, 986 Ocober 6, Bac elably Meaure elably:
More informationMidterm Exam. Tuesday, September hour, 15 minutes
Ecoomcs of Growh, ECON560 Sa Fracsco Sae Uvers Mchael Bar Fall 203 Mderm Exam Tuesda, Sepember 24 hour, 5 mues Name: Isrucos. Ths s closed boo, closed oes exam. 2. No calculaors of a d are allowed. 3.
More information[ m] x = 0.25cos 20 t sin 20 t m
. x.si ( 5 s [ ] CHAPER OSCILLAIONS x ax (.( ( 5 6. s s ( ( ( xax. 5.7 s s. x.si [] x. cos s Whe, x a x.5. s 5s.6 s x. x( x cos + si a f ( ( [ ] x.5cos +.59si. ( ( cos α β cosαcos β + siαsi β x Acos φ
More informationSolution. The straightforward approach is surprisingly difficult because one has to be careful about the limits.
ose ad Varably Homewor # (8), aswers Q: Power spera of some smple oses A Posso ose A Posso ose () s a sequee of dela-fuo pulses, eah ourrg depedely, a some rae r (More formally, s a sum of pulses of wdh
More informationInternational Journal of Scientific & Engineering Research, Volume 3, Issue 10, October ISSN
Ieraoal Joural of cefc & Egeerg Research, Volue, Issue 0, Ocober-0 The eady-ae oluo Of eral hael Wh Feedback Ad Reegg oeced Wh o-eral Queug Processes Wh Reegg Ad Balkg ayabr gh* ad Dr a gh** *Assoc Prof
More informationOn One Property of the Wiener Integral and its Statistical Application
saqatvelos eceebata eovl aaes oabe # 9 BUETIN OF THE GEORGIAN NATIONA AADEM OF SIENES vol o 9 Maheacs O Oe Pope o he Wee Ieal a s Sascal Applcao Pee Babla* Elzba Naaaa** Mzeva Pasasa & Gol Sohaze # * I
More informationFault Tolerant Computing. Fault Tolerant Computing CS 530 Reliability Analysis
Probably /4/6 CS 5 elably Aaly Yahwa K. Malaya Colorado Sae very Ocober 4, 6 elably Aaly: Oule elably eaure: elably, avalably, Tra. elably, T M MTTF ad (, MTBF Bac Cae Sgle u wh perae falure, falure rae
More informationQueuing Theory: Memory Buffer Limits on Superscalar Processing
Cle/ Model of I/O Queug Theory: Memory Buffer Lms o Superscalar Processg Cle reques respose Devce Fas CPU s cle for slower I/O servces Buffer sores cle requess ad s a slower server respose rae Laecy Tme
More informationC.11 Bang-bang Control
Itroucto to Cotrol heory Iclug Optmal Cotrol Nguye a e -.5 C. Bag-bag Cotrol. Itroucto hs chapter eals wth the cotrol wth restrctos: s boue a mght well be possble to have scotutes. o llustrate some of
More informationBianchi Type II Stiff Fluid Tilted Cosmological Model in General Relativity
Ieraoal Joural of Mahemacs esearch. IN 0976-50 Volume 6, Number (0), pp. 6-7 Ieraoal esearch Publcao House hp://www.rphouse.com Bach ype II ff Flud led Cosmologcal Model Geeral elay B. L. Meea Deparme
More informationQuantum Mechanics II Lecture 11 Time-dependent perturbation theory. Time-dependent perturbation theory (degenerate or non-degenerate starting state)
Pro. O. B. Wrgh, Auum Quaum Mechacs II Lecure Tme-depede perurbao heory Tme-depede perurbao heory (degeerae or o-degeerae sarg sae) Cosder a sgle parcle whch, s uperurbed codo wh Hamloa H, ca exs a superposo
More informationOptimal Control and Hamiltonian System
Pure ad Appled Maheacs Joural 206; 5(3: 77-8 hp://www.scecepublshggroup.co//pa do: 0.648/.pa.2060503.3 ISSN: 2326-9790 (Pr; ISSN: 2326-982 (Ole Opal Corol ad Haloa Syse Esoh Shedrack Massawe Depare of
More information7.0 Equality Contraints: Lagrange Multipliers
Systes Optzato 7.0 Equalty Cotrats: Lagrage Multplers Cosder the zato of a o-lear fucto subject to equalty costrats: g f() R ( ) 0 ( ) (7.) where the g ( ) are possbly also olear fuctos, ad < otherwse
More informationP-Convexity Property in Musielak-Orlicz Function Space of Bohner Type
J N Sce & Mh Res Vol 3 No (7) -7 Alble ole h://orlwlsogocd/deh/sr P-Coey Proery Msel-Orlcz Fco Sce o Boher ye Yl Rodsr Mhecs Edco Deree Fcly o Ss d echology Uerss sl Neger Wlsogo Cerl Jdoes Absrcs Corresodg
More informationA note on Turán number Tk ( 1, kn, )
A oe o Turá umber T (,, ) L A-Pg Beg 00085, P.R. Cha apl000@sa.com Absrac: Turá umber s oe of prmary opcs he combaorcs of fe ses, hs paper, we wll prese a ew upper boud for Turá umber T (,, ). . Iroduco
More informationFresnel Equations cont.
Lecure 12 Chaper 4 Fresel quaos co. Toal eral refleco ad evaesce waves Opcal properes of meals Laer: Famlar aspecs of he eraco of lgh ad maer Fresel quaos r 2 Usg Sell s law, we ca re-wre: r s s r a a
More informationThe Poisson Process Properties of the Poisson Process
Posso Processes Summary The Posso Process Properes of he Posso Process Ierarrval mes Memoryless propery ad he resdual lfeme paradox Superposo of Posso processes Radom seleco of Posso Pos Bulk Arrvals ad
More informationAdaptive Testing of Software Components 1
5 ACM Sypos o Appled Copg Adapve esg o Soware Copoes Ka-Ya Ca & Y Che Yog-Chao L & We-Y Ng & ad YY $ & Depare o Aoac Corol Bejg Uversy o Aeroacs ad Asroacs Bejg 83 Cha Eal: kyca@baaedc School o Iorao echology
More informationIncreasing the Image Quality of Atomic Force Microscope by Using Improved Double Tapered Micro Cantilever
Rece Reseaces Teecocaos foacs Eecocs a Sga Pocessg ceasg e age Qa of oc Foce Mcope Usg pove oe Tapee Mco aeve Saeg epae of Mecaca Egeeg aava Bac sac za Uves aava Tea a a_saeg@aavaa.ac. sac: Te esoa feqec
More informationLecture 3 Topic 2: Distributions, hypothesis testing, and sample size determination
Lecure 3 Topc : Drbuo, hypohe eg, ad ample ze deermao The Sude - drbuo Coder a repeaed drawg of ample of ze from a ormal drbuo of mea. For each ample, compue,,, ad aoher ac,, where: The ac he devao of
More information3D Reconstruction from Image Pairs. Reconstruction from Multiple Views. Computing Scene Point from Two Matching Image Points
D Recostructo fro Iage ars Recostructo fro ultple Ves Dael Deetho Fd terest pots atch terest pots Copute fudaetal atr F Copute caera atrces ad fro F For each atchg age pots ad copute pot scee Coputg Scee
More informationBig O Notation for Time Complexity of Algorithms
BRONX COMMUNITY COLLEGE of he Ciy Uiversiy of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI 33 Secio E01 Hadou 1 Fall 2014 Sepember 3, 2014 Big O Noaio for Time Complexiy of Algorihms Time
More informationQR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA
QR facorzao Ay x real marx ca be wre as AQR, where Q s orhogoal ad R s upper ragular. To oba Q ad R, we use he Householder rasformao as follows: Le P, P, P -, be marces such ha P P... PPA ( R s upper ragular.
More informationSection 8. Paraxial Raytracing
Secio 8 Paraxial aracig 8- OPTI-5 Opical Desig ad Isrmeaio I oprigh 7 Joh E. Greiveamp YNU arace efracio (or reflecio) occrs a a ierface bewee wo opical spaces. The rasfer disace ' allows he ra heigh '
More informationChapter 5. Long Waves
ape 5. Lo Waes Wae e s o compaed ae dep: < < L π Fom ea ae eo o s s ; amos ozoa moo z p s ; dosac pesse Dep-aeaed coseao o mass
More information-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL
UPB Sc B See A Vo 72 I 3 2 ISSN 223-727 MUTIPE -HYBRID APACE TRANSORM AND APPICATIONS TO MUTIDIMENSIONA HYBRID SYSTEMS PART II: DETERMININ THE ORIINA Ve PREPEIŢĂ Te VASIACHE 2 Ace co copeeă oă - pce he
More informationStat 6863-Handout 5 Fundamentals of Interest July 2010, Maurice A. Geraghty
S 6863-Hou 5 Fuels of Ieres July 00, Murce A. Gerghy The pror hous resse beef cl occurreces, ous, ol cls e-ulero s ro rbles. The fl copoe of he curl oel oles he ecooc ssupos such s re of reur o sses flo.
More informationA New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming
ppled Matheatcal Sceces Vol 008 o 50 7-80 New Method for Solvg Fuzzy Lear Prograg by Solvg Lear Prograg S H Nasser a Departet of Matheatcs Faculty of Basc Sceces Mazadara Uversty Babolsar Ira b The Research
More informationAnalytical modelling of extruded plates
paper ID: 56 /p. Aalcal modellg of erded plaes C. Pézera, J.-L. Gader Laboraore Vbraos Acosqe, INSA de Lo,5 bs a.j. Cappelle 696 VILLEURBANNE Cede Erded plaes are ofe sed o bld lgh srcres h hgh sffess.
More informationOn the Incompressible Navier-Stokes Equations with Damping *
Apple Maheacs 3 4 65-658 hp://xoorg/436/a34489 Publshe Ole Aprl 3 (hp://wwwscrporg/oural/a) O he Icopressble Naver-Sokes Equaos wh Dapg * Weya Zhao Zhbo Zheg # Depare of Maheacs Baosha Uversy Baosha Cha
More informationSome Different Perspectives on Linear Least Squares
Soe Dfferet Perspectves o Lear Least Squares A stadard proble statstcs s to easure a respose or depedet varable, y, at fed values of oe or ore depedet varables. Soetes there ests a deterstc odel y f (,,
More informationA review of the finite-element method in seismic wave modelling
Revew of he fe-eleme meho A revew of he fe-eleme meho sesmc wave moellg Faraak ahmoa a Gary F. argrave ABSTRACT mercal solos of he scalar a elasc wave eqaos have grealy ae geophyscss boh he forwar moellg
More informationA L A BA M A L A W R E V IE W
A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N
More informationOn the Formulation of a Hybrid Discontinuous Galerkin Finite Element. Method (DG-FEM) for Multi-layered Shell Structures.
O he Formlao of a Hybr Dcoo Galer Fe Eleme Meho DG-FEM for Ml-layere Shell Srcre Tay L The bme o he facly of he Vrga Polyechc Ie a Sae Uvery paral flfllme of he reqreme for he egree of Maer of Scece I
More informationOutline. Queuing Theory Framework. Delay Models. Fundamentals of Computer Networking: Introduction to Queuing Theory. Delay Models.
Oule Fudaeals of Couer Neworg: Iroduco o ueug Theory eadg: Texboo chaer 3. Guevara Noubr CSG5, lecure 3 Delay Models Lle s Theore The M/M/ queug syse The M/G/ queug syse F3, CSG5 Fudaeals of Couer Neworg
More informationSolutions to problem set ); (, ) (
Solutos to proble set.. L = ( yp p ); L = ( p p ); y y L, L = yp p, p p = yp p, + p [, p ] y y y = yp + p = L y Here we use for eaple that yp, p = yp p p yp = yp, p = yp : factors that coute ca be treated
More informationELEMENTS OF NUMBER THEORY. In the following we will use mainly integers and positive integers. - the set of integers - the set of positive integers
ELEMENTS OF NUMBER THEORY I the followg we wll use aly tegers a ostve tegers Ζ = { ± ± ± K} - the set of tegers Ν = { K} - the set of ostve tegers Oeratos o tegers: Ato Each two tegers (ostve tegers) ay
More informationPartial Molar Properties of solutions
Paral Molar Properes of soluos A soluo s a homogeeous mxure; ha s, a soluo s a oephase sysem wh more ha oe compoe. A homogeeous mxures of wo or more compoes he gas, lqud or sold phase The properes of a
More informationStabilization of LTI Switched Systems with Input Time Delay. Engineering Letters, 14:2, EL_14_2_14 (Advance online publication: 16 May 2007) Lin Lin
Egeerg Leers, 4:2, EL_4_2_4 (Advace ole publcao: 6 May 27) Sablzao of LTI Swched Sysems wh Ipu Tme Delay L L Absrac Ths paper deals wh sablzao of LTI swched sysems wh pu me delay. A descrpo of sysems sablzao
More informationFundamentals of Speech Recognition Suggested Project The Hidden Markov Model
. Projec Iroduco Fudameals of Speech Recogo Suggesed Projec The Hdde Markov Model For hs projec, s proposed ha you desg ad mpleme a hdde Markov model (HMM) ha opmally maches he behavor of a se of rag sequeces
More informationSecond-Order Asymptotic Expansion for the Ruin Probability of the Sparre Andersen Risk Process with Reinsurance and Stronger Semiexponential Claims
Ieraoal Joral of Sascs ad Acaral Scece 7; (: 4-45 p://www.scecepblsggrop.com/j/jsas do:.648/j.jsas.7. Secod-Order Asympoc Expaso for e R Probably of e Sparre Aderse Rs Process w Resrace ad Sroger Semexpoeal
More informationInterval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X
ECON 37: Ecoomercs Hypohess Tesg Iervl Esmo Wh we hve doe so fr s o udersd how we c ob esmors of ecoomcs reloshp we wsh o sudy. The queso s how comforble re we wh our esmors? We frs exme how o produce
More information1 Widrow-Hoff Algorithm
COS 511: heoreical Machine Learning Lecurer: Rob Schapire Lecure # 18 Scribe: Shaoqing Yang April 10, 014 1 Widrow-Hoff Algorih Firs le s review he Widrow-Hoff algorih ha was covered fro las lecure: Algorih
More informationChapter 2. Review of Hydrodynamics and Vector Analysis
her. Ree o Hdrodmcs d Vecor Alss. Tlor seres L L L L ' ' L L " " " M L L! " ' L " ' I s o he c e romed he Tlor seres. O he oher hd ' " L . osero o mss -dreco: L L IN ] OUT [mss l [mss l] mss ccmled h me
More informationFractal diffusion retrospective problems
Iraoa ora o App Mahac croc a Copr Avac Tchoo a Scc ISSN: 47-8847-6799 wwwaccor/iamc Ora Rarch Papr Fraca o rropcv prob O Yaro Rcv 6 h Ocobr 3 Accp 4 h aar 4 Abrac: I h arc w h rropcv vr prob Th rropcv
More informationROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K
ROOT-LOCUS ANALYSIS Coder a geeral feedback cotrol yte wth a varable ga. R( Y( G( + H( Root-Locu a plot of the loc of the pole of the cloed-loop trafer fucto whe oe of the yte paraeter ( vared. Root locu
More informationSliding mode: Basic theory and new perspectives
Dep o Elecrcal ad Elecroc Eg. Uversy o Caglar 5 h Worshop o Srcral Dyamcal Sysems: Compaoal Aspecs Capolo (BA) Ialy Sldg mode: Basc heory ad ew perspecves Elo USAI esa@dee.ca. SDS 8 - Capolo (BA) Je 8
More information2.160 System Identification, Estimation, and Learning Lecture Notes No. 17 April 24, 2006
.6 System Idetfcato, Estmato, ad Learg Lectre Notes No. 7 Aprl 4, 6. Iformatve Expermets. Persstece of Exctato Iformatve data sets are closely related to Persstece of Exctato, a mportat cocept sed adaptve
More informationChapter 8. Simple Linear Regression
Chaper 8. Smple Lear Regresso Regresso aalyss: regresso aalyss s a sascal mehodology o esmae he relaoshp of a respose varable o a se of predcor varable. whe here s jus oe predcor varable, we wll use smple
More informationEMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions
EMA5 Lecue 3 Seady Sae & Noseady Sae ffuso - Fck s d Law & Soluos EMA 5 Physcal Popees of Maeals Zhe heg (6) 3 Noseady Sae ff Fck s d Law Seady-Sae ffuso Seady Sae Seady Sae = Equlbum? No! Smlay: Sae fuco
More informationLeast squares and motion. Nuno Vasconcelos ECE Department, UCSD
Leas squares ad moo uo Vascocelos ECE Deparme UCSD Pla for oda oda we wll dscuss moo esmao hs s eresg wo was moo s ver useful as a cue for recogo segmeao compresso ec. s a grea eample of leas squares problem
More informationOutline. Computer Networks: Theory, Modeling, and Analysis. Delay Models. Queuing Theory Framework. Delay Models. Little s Theorem
Oule Couer Newors: Theory, Modelg, ad Aalyss Guevara Noubr COM35, lecure 3 Delay Models Lle s Theore The M/M/ queug syse The M/G/ queug syse F, COM35 Couer Newors Lecure 3, F, COM35 Couer Newors Lecure
More information