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

Size: px
Start display at page:

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

Transcription

1 rprns of h 8h IFAC World Congrss lano Ial Augus 8 - Spmbr obus dcnralzd conrol wh scalar oupu of mulvarabl srucurall uncran plans wh sa dla Elzava arshva Absrac h problm of a robus conrol ssm dsgn for nrconncd ssms wh srucural and paramrcal uncran was solvd for h cas whr drvavs of npu and oupu paramrs canno b masurd h ordr of h mahmacal modl ma chang ovr m Oprabl of h dsgnd conrol ssms n h cas of non-masurabl and boundd dsurbancs acng on h conrolld plan was dmonsrad Onl h masurabl varabls of h local subssms ar usd o gnra h conrol acons ha s conrol s compll dcnralzd I INODUCION E problm of conrol wh scalar npu and oupu has bcom on of h classcal problms of modrn conrol hor and pln of mhods for robus conrol dsgn hav bn dvlopd h dvlopmns n robus conrol hor as wll as a comprhnsv bblograph can b found n [ ] In monograph [] h classfcaon of dsurbancs of varous ps and wo mhods of hr compnsaon ar gvn Undr h frs approach h srucur and paramrs of h conrollng ssms ar chosn n such a wa ha h would provd nsnsv of h ssm o dsurbanc nvaran ssms h scond approach s basd on a dnamc compnsaon of nrnal and rnal dsurbancs whn h conrol of adusng a dvc supprsss h nflunc of dsurbancs on h paramrs of h ssm In addon h sud [] gvs a gnral samn of h problm and proposs a fw mhods of dsgnng h nvaran ssms ha ar basd on h algbrac srucur of mahmacal modls of plans In [-] an nrnal modl of dsurbancs s usd o solv h problm whras [6 7] us h mhods of h hor of robus and adapv ssms h approach o h snhss of sac robus conrollrs for lnar ssms ha s basd on h lnar-uadrac problm ha s n urn basd on h paramrzaon of Lur cca uaons s prsnd n [8] obus ssms wh compnsaon of dsurbancs ha us hs mhods ar sudd n [9 ] A smpl robus conrol algorhm ha rmans h sam for varous ps of plans s proposd n [] I s shown ha h algorhm compnsas for paramrc and rnal dsurbancs wh a gvn accurac A closd ssm wors hr as an mplcl gvn nomnal modl whos paramrs ar usd n conrol An ncrasng var of challngng appld problms n h adapv dcnralzd conrol hor forcs h rsarchrs o wor wh h plans wh uncran paramrs m dla and ohr ssus whch hav o b an no accoun whn dsgnng conrol ssms h faur of hs wor was suppord b h ussan Foundaon for Basc sarch proc no h conrol ssms for dla ssms [-6] s h dpndnc of h sa of h conrolld procss on h prvous sas hsor Ignorng h nflunc of ha dla ma lad o h ual dgradaon of h conrol ssm and mor ovr o nabl o prform conrol funcons I s mporan o no ha almos all h suggsd mhods ar basd on an assumpon ha h srucur of a plan s nown h ordr of a ssm of dffrnal uaons s nown and paramrc and rnal dsurbancs ar unnown hr ar varous suds dvod o h problms of conrol wh an unnown ordr [7-9] Sourcs [7 8] consdr conrol problms of lnar saonar ssms wh an unnown and consan ordr of numraor and dnomnaor for hr ransfr funcons Sourc [9] consdrs a wdr class of ssms wh dsurbancs ha ar abl o nflunc boh h paramrs of h ssm as wll as s ordr hs papr consdrs h problm of robus conrol for nrconncd sa dla ssms wh unnown paramrs whch ar subc o h unconrolld rnal and paramrc dsurbancs hs dsurbancs ma chang h ordr of a ssm n unprdcabl was hs mans ha h ordr of a ssm s unnown and scalar npu and oupu sgnals can onl b masurd o solv h problm a smpl robus conrol algorhm s proposd ha compnsas for hs class of uncrans wh a gvn accurac and a fn m Onl h masurabl varabls of h local subssms ar usd for h conrol conrol s compll dcnralzd II OBLE SAEEN L us consdr an nrconncd ssm whos local subssms dnamc procsss ar dscrbd b h followng uaons G τ u f S whr d d dffrnal opraor; n n n G g n K g n K n m m rm r m K r n n S sn s n s K lnar dffrnal opraors wh unnown paramrs; f an unconrolld dsurbanc; u a scalar conrol acon; a scalar conrolld varabl n h -subssm whch can b masurd Coprgh b h Inrnaonal Fdraon of Auomac Conrol IFAC 89

2 rprns of h 8h IFAC World Congrss lano Ial Augus 8 - Spmbr Dcnralzd conrol for such a ssm s dfnd as h problm of fndng local conrol blocs ach of whch onl can accss currn nformaon abou a ssm [] urd ual of ranson procsss n a subssm s dfnd b uaons of h local nomnal modls m m mr r m ar lnar dffrnal opraors; m > ; r ar h scalar boundd conrol acons I s ncssar o dsgn a conrol ssm for whch h followng condon wll b sasfd lm lm < δ f r δ s h accurac of h dnamc rror ; s h m bond of whch h dnamc rror should no cd h valu δ I s forbddn o us masurabl paramrs of on subssm n ohr local subssms Assumpons m ar urwz polnomals compl varabl n Laplac ransformaon; h opraor s sabl rval soluon of uaon u s asmpocall sabl For h fd valu polnomal s urwz; h ordrs of polnomals dg n dg m dg S n n < n ar unnown and rlav dgr of a local subssm n m > ; v h uppr bound u of rlav dgr s nown as wll as h uppr bound of h dgr of h polnomal n n ; v h ordr of h polnomals m s ual o u ; v h coffcns sgns ar nown and > ; v h opraors coffcns G S ar boundd funcons; h non-zro coffcns of hgh ordrs of opraors and ar posv funcons; v h coffcns of dffrnal opraors dpnd on vcor of unnown paramrs ξ Ξ whr Ξ s a nown boundd s; h acons r ar boundd funcons; h sgnal of local nomnal modl m and s drvavs u ar boundd funcons; h rnal dsurbanc f s a boundd funcon of m wh an unnown changs rang; s prohbd o us h drvavs of sgnals u r Basd on h assumpons s possbl o conclud ha h dnamc ordr of h ssm s unnown and subc o chang as h rsul of paramrc dsurbancs For nsanc f n and n hn dg n ; f n and n hn n dg n c h rurmn o now h sgns m of h non-zro coffcns of hgh ordrs of opraors assumpon v s rlad o nowng h sgn of a hgh-frunc gan of h ssm III EOD OF SOLUION L us wr h opraors as whr s an arbrar lnar dffrnal opraor such as ha polnomal s urwz polnomal n dg hn s h dffrnc and dg n f dg < dg hn dg dg and f dg dg hn dg n s an arbrar lnar dffrnal opraor dg n u such as ha polnomal s urwz gardng srucur s possbl o sa ha f m < n u hn dg n u and f m > n u hn dg m hus s alwas possbl o guaran corrcnss of h mnond dcomposon of h opraors as n on cas opraors and hav all coffcns non-zro n ohr cas h corrspondn numbr of componns ar nonzro h dcomposon [9] ha allows o solv h problm dffrs from nown mhods of paramrzaon uaons of conrol plans L us ransform h uaon of a ssm u u G τ f S snc opraors and ar arbrar w can choos hm n ordr ha h followng condon s obd m L us wr h uaon for rror m subracng from and ang no consdraon m u u f mr G S τ 6 o oban h man rsul l's us h approach [] whch allows o compnsa dsurbanc L choos a local conrol law n h followng form u α ϑ 7 9

3 rprns of h 8h IFAC World Congrss lano Ial Augus 8 - Spmbr whr α > ; ϑ s an addonal conrol acon hn h followng uaon of rror can b drvd from 6 ϑ ϕ 8 ϕ m u G τ f mr S α ϑ Sgnal ϕ conans all componns acon of whch n h rror nds o b compnsad I s ncssar o rac h sgnal L s dfn h addonal loop m ϑ and wr h uaon wh h rror sgnal ζ m ζ ϕ If h drvavs u of h oupu sgnal can b masurd hn dfnng h varaon law of h addonal conrol acon n h followng form ϑ m ζ ϕ w wll g h followng uaon of h closd loop ssm usng h rror uaon 8 m L us show ha all h sgnals n h closd loop ssm ar boundd I s ncssar for h ffcnc of h algorhm whch wll b dscrbd lar Euaon shows ha h sgnal and s drvavs u ar boundd du o assumpon hn from condons of h assumpons dg n and bcaus s urwz polnomal of dgr w can conclud ha n u ϕ f m r G τ S s a boundd valu I s ncssar o show ha h chosn conrol acon s boundd For ha purpos l s subsu ϕ n wh h samn abov and rsolv drvd uaon for ϑ ϑ ϕ u α L us subsu ϑ n uaon 9 and rsolv for u ang no consdraon followng paramrzaon u ϕ From condon of assumpon and bounddnss of ϕ bounddnss of local conrol acon u s followd 9 Bcaus w canno masur h drvavs l s formula h local law of addonal conrol acon ϑ n h followng form ϑ g mζ whr g m [ m K m ] vcor composd wh u polnomal coffcns u u K ; m m ζ ζ ζ ζ col K u m u ζ ; ζ s smaon of ζ drvavs oband from flrs z ζ F z L z b ζ u u Whr ; L [ ]; b [ K ]; z K L O F O O O ; L L > s small numbr If w us and n Laplac ransformaon w ll g h followng m ϑ ζ u ang no consdraon and samn for rror sgnal ζ w hav m ϑ u Subsung ϑ n uaon 7 wh h oband samn and usng h orgnal of Laplac ransformaon w ll g conrol algorhm Obvousl ha conrol law now s chncall fasbl snc conans onl nown or masurabl varabls roposon If assumpons - ar obd hn hr ar numbrs > > such ha undr condons conrol algorhm u u α 6 m guarans ha arg condon s obd whr α > I s ncssar o no ha h dscrbd algorhm rmans nvaran f hr s sa dla n a ssm as wll as n h cas whn a ssm s n a sad sa wh unnown paramrs wh nown boundars roposon proof L s consdr vcors of h smaon rror of drvavs ζ z F b ζ u r h vcor F b h has frs componn ual o - If o prov ha h valu s small hn from condon ζ ζ < follows ha smaon ζ s 9

4 rprns of h 8h IFAC World Congrss lano Ial Augus 8 - Spmbr ζ nar o From w ll g h uaon of dnamc for vcors F z F h L b ζ F ζ b u ζ ang no accoun ha h addonal conrol acon s formulad as w can ransform h uaon of rror no h followng form m m 7 K ; whr m [ m m ] u col K ; ζ ζ L s ransform uaon 7 no vcor-mar form As a rsul w ll g h followng uaons s of h closd loop ssm Am b m L F h ζ 8 L u whr W v go sngularl prurbancd ssm as small nough numbr L us us Lmma [6] Lmma [6] If a ssm s dfnd b h uaon m f whr f s a connuous funcon ha s Lpshs funcon wh rspc o and n h cas whn has a boundd closd rgon of dsspaon Ω { F < C} whr F posv dfnd connuous pcws smooh funcon hn hr s > such ha undr h nal ssm has h sam dsspav rgon Ω f for som numbrs C and for followng condon s obd F sup f C f F C 9 In h cas of n 8 w hav asmpocall sabl ssm for varabls and snc A m F ar urwz mars I s h sam suaon whch w had for masurng h drvavs lm I was provd u ha f hs condon s obd all h sgnals n h ssm ar boundd I mans ha hr s a cran rgon Ω ζ { ζ δ < δ < δ F < C } whr sgnals ζ ar whn hr boundars for som nal condons from Ω L us consdr wo vcors u u θ ζ K ζ [ K ] and bloc-dagonal mars wh u dagonal blocs F dag{ F F K F } B dag{ h h K h } C dag{ L L K L } hn uaons 8 wll a h followng form Am b m L F Bθ C Evdnl ha condon 9 was obd f o a Lapunov funcon for F whr h posv dfnd smmrc mars drmnd from uaons soluon A m A F F m u I I u u ar whr hus > > > > > n accordanc wh Lmma [6] hr s such ha f < hn Ω rmans dsspav rgon of ssm 8 owvr s ncssar o no ha png h dsspav rgon dosn guaran ha h s of aracon Ω rmans h sam n a sngularl prurbd ssm L us calcula h full drvav of funcon on ssm s racors ang no accoun uaon and assgnng L us us smaons b m b Bθ m mn mn mn mn Bθ 9

5 whr u m B C b δ ; mn ar h mnmal and mal characrsc numbrs of h mnond mars Usng hos smaons no w ll g whr mn mn mn If o choos from condons > > h followng nual s corrc If w solv h nual w can s ha f o choos small nough w g h followng rgon of aracon Ω Fg a Srucural schm of local conrol ssm Fg b Srucural schm of robus conrol ssm Insrng h rurd valu from h arg condon no h rgh par and ang no consdraon h nuals mn mn w g h smaon of h valu δ n h arg condon mn δ ha shows ha hr ar numbrs and guaranng ha arg condon wll b obd hus for varng n and w can g h rurd valu δ n h arg condon Srucural schm of h dsgnd conrol ssm s shown n Fgur h drawbac of h proposd algorhm s a lac of analcall provd choc of paramrs and α owvr h can b asl machd durng h modlng phas For a ssm mnmall possbl coffcns of opraors G S ar usd and mall possbl valus of r f ar usd for h npu Consan componns don mar Numbrs and α ar slcd n ordr o guaran a gvn dnamc rror Numbr s usuall varng whn o Error wll no cd a gvn valu for ohr paramrs valus and valus of rnal acons from gvn class of uncran I EXALE L us consdr a dnamc ssm of sh ordr rprsnd as wo subssms sn sn cos 6 cos f u cos sn cos cos f u whr and ar h sa vcors of h subssms and ar h masurabl scalar oupus of h subssms u and u ar h scalar conrol acons whos law of varaon s gnrad accordng o E 6 and f sn f sn rprns of h 8h IFAC World Congrss lano Ial Augus 8 - Spmbr 9

6 rprns of h 8h IFAC World Congrss lano Ial Augus 8 - Spmbr ar h dsurbancs h paramrs of h local rfrnc m and modls ar an as h rfrnc sgnals r and r ar as follows r sn r sn W rprsn h consdrd plan usng whr h class of uncran s dfnd b h nuals ; l l l h conrollr 6 consss of wo cascadd blocs wh h followng ransfr funcons W W and amplfr wh gan of α Gvn ha δ n h arg condon h valus α α allow o achv h rurd accurac Fg Error racors - m Compur-add modlng dmonsrad good oprabl of h dsgnd ssms CONCLUSION apr consdrs h problm of dcnralzd conrol wh an nomnal modl for nrconncd ssm wh unnown paramrs and an unnown ordr whn drvavs of npu and oupu sgnals of h local subssms canno b masurd Consdrd robus conrol ssm allows compnsang paramrc and rnal dsurbancs wh gvn accurac δ for h prod of m alus δ and can b small nough usng h appropra paramrs of h closd loop ssm I s ncssar o no ha h closd loop ssm s funconng as an mplcl dfnd nomnal modl and paramrs of h modl ar usd n conrol algorhm I s mporan o no ha consdrd algorhm rmans h sam f hr s sa dla n a ssm as wll as n h cas whn a plan s saonar wh unnown paramrs whch valus ar lmd b a cran boundd s Bsds h advanag of h suggsd algorhm consss n h fac ha h srucur of a local conrollr s concdd wh h srucur of a local conrollr of sngl-conncd ssm hs gvs an advanag for h conrol of spaall dsrbud ssms h drawbac of h algorhm s a lac of an m analcall provd mhod of slcon of h paramrs of h conrollr EFEENCES [] B ola S Schrbaov obus sabl and conrol Naua [] O Nforov Adapv and robus conrol wh dsurbanc compnsaon S-rsburg Naua [] N Buov Ssm mbddng Analcal approach o analss and snhss of mar ssm ublshng hous of scnfc lraur of Bocharva NF 6 [] O Nforov Ernal dsurbancs obsrvrs Obcs wh nown paramrs Auom lmh no pp - [] O Nforov Ernal dsurbancs obsrvrs Obcs wh unnown paramrs Auom lmh no pp -8 [6] O Nforov Non-lnar conrol ssm wh drmnd dsurbancs compnsaon Izvsa Aadm Nau ora Ssm Upravlna 997 no pp 69-7 [7] I roshn O Nforov A L Fradov Nonlnar adapv conrol of compl dnamc ssms S rsburg Naua [8] N Buov N I Slvsu Analcal snhss of robus rgulaors basd on paramrcal uaons of Lur-a Auom lmh 7 no pp 6-6 [9] A A Bobsov Algorhm of robus oupu conrol of lnar obc wh compnsaon of unnown drmnd dsurbanc Izvsa Aadm Nau ora Ssm Upravlna no pp 9-97 [] A A Bobsov obus conrol algorhm of uncran obc whou masurng drvavs of adusd varabl Auom lmh no 8 pp 8-96 [] A sunov obus oupu conrol of lnar dnamc obcs harona avomazasa upravln 8 no 8 pp7- [] Gurs Analss and snhss of conrol ssm wh h dla oscow ashnosron 97 [] B Kolmanovs Nosov Sabl and prodc rgms wh dla oscow Naua 98 [] zvan Absolu sabl of auomac dla ssms oscow Naua 98 [] A sunov Adapv conrol of plans wh afrffc oscow Naua 98 [6] Yanushvs Conrol plans wh dlas oscow Naua 978 [7] G ao A Ioannou odl rfrnc adapv conrol for plans wh unnown rlav dgr IEEE rans Auoma Conrol 99 vol 8 no 6 pp [8] J B oang DS Brnsn Drc adapv command followng and dsurbanc rcon for mnmum phas ssms wh unnown rlav dgr In J of Adapv Conrol and Sgnal rocssng 7 vol pp 9-7 [9] I B Fura A sunov obus conrol of unsad nonlnar obcs wh undfnd srucur roblms of Conrol 8 no pp -7 [] B rn an-su so Adapv dcnralzd conrol of dnamc ssms Bsh Ilm 99 [] A Brusn A class of sngular dsrbud adapv ssms Auom lmh 99 no pp9-7 9

Consider a system of 2 simultaneous first order linear equations

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

More information

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

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

More information

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

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

More information

State Observer Design

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

More information

9. Simple Rules for Monetary Policy

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

More information

innovations shocks white noise

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

More information

Frequency Response. Response of an LTI System to Eigenfunction

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

More information

The Variance-Covariance Matrix

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

More information

Advanced Queueing Theory. M/G/1 Queueing Systems

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

More information

ELEN E4830 Digital Image Processing

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

More information

Chapter 9 Transient Response

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

More information

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

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

More information

Theoretical Seismology

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

More information

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

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

More information

Boosting and Ensemble Methods

Boosting and Ensemble Methods Boosng and Ensmbl Mhods PAC Larnng modl Som dsrbuon D ovr doman X Eampls: c* s h arg funcon Goal: Wh hgh probably -d fnd h n H such ha rrorh,c* < d and ar arbrarly small. Inro o ML 2 Wak Larnng

More information

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

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

More information

OUTLINE FOR Chapter 2-2. Basic Laws

OUTLINE FOR Chapter 2-2. Basic Laws 0//8 OUTLINE FOR Chapr - AERODYNAMIC W-- Basc Laws Analss of an problm n fld mchancs ncssarl nclds samn of h basc laws gornng h fld moon. Th basc laws, whch applcabl o an fld, ar: Consraon of mass Conn

More information

8-node quadrilateral element. Numerical integration

8-node quadrilateral element. Numerical integration Fnt Elmnt Mthod lctur nots _nod quadrlatral lmnt Pag of 0 -nod quadrlatral lmnt. Numrcal ntgraton h tchnqu usd for th formulaton of th lnar trangl can b formall tndd to construct quadrlatral lmnts as wll

More information

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

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

More information

FAULT TOLERANT SYSTEMS

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

More information

Convergence of Quintic Spline Interpolation

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

More information

Wave Superposition Principle

Wave Superposition Principle Physcs 36: Was Lcur 5 /7/8 Wa Suroson Prncl I s qu a common suaon for wo or mor was o arr a h sam on n sac or o xs oghr along h sam drcon. W wll consdr oday sral moran cass of h combnd ffcs of wo or mor

More information

Guaranteed Cost Control for a Class of Uncertain Delay Systems with Actuator Failures Based on Switching Method

Guaranteed Cost Control for a Class of Uncertain Delay Systems with Actuator Failures Based on Switching Method 49 Inrnaonal Journal of Conrol, Ru Wang Auomaon, and Jun and Zhao Sysms, vol. 5, no. 5, pp. 49-5, Ocobr 7 Guarand Cos Conrol for a Class of Uncran Dlay Sysms wh Acuaor Falurs Basd on Swchng Mhod Ru Wang

More information

Safety and Reliability of Embedded Systems. (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Stochastic Reliability Analysis

Safety and Reliability of Embedded Systems. (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Stochastic Reliability Analysis (Schrh und Zuvrlässgk ngbr Sysm) Sochasc Rlably Analyss Conn Dfnon of Rlably Hardwar- vs. Sofwar Rlably Tool Asssd Rlably Modlng Dscrpons of Falurs ovr Tm Rlably Modlng Exampls of Dsrbuon Funcons Th xponnal

More information

Safety and Reliability of Embedded Systems. (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Stochastic Reliability Analysis

Safety and Reliability of Embedded Systems. (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Stochastic Reliability Analysis Safy and Rlably of Embddd Sysms (Schrh und Zuvrlässgk ngbr Sysm) Sochasc Rlably Analyss Safy and Rlably of Embddd Sysms Conn Dfnon of Rlably Hardwar- vs. Sofwar Rlably Tool Asssd Rlably Modlng Dscrpons

More information

ADAPTIVE PRE-EMPTIVE CONTROL OF VACUUM DEWATERING IN PAPER MANUFACTURING 1. Petar Bjegovic 3 Perry Y. Li 2

ADAPTIVE PRE-EMPTIVE CONTROL OF VACUUM DEWATERING IN PAPER MANUFACTURING 1. Petar Bjegovic 3 Perry Y. Li 2 Copyrgh 2002 IFC 5h Trnnal World Congrss arclona Span DPTIVE PRE-EMPTIVE CONTROL OF VCUUM DEWTERING IN PPER MNUFCTURING Par jgoc 3 Prry Y. L 2 Dparmn of Mchancal Engnrng Unrsy of Mnnsoa Church S. SE Mnnapols

More information

SIMEON BALL AND AART BLOKHUIS

SIMEON BALL AND AART BLOKHUIS A BOUND FOR THE MAXIMUM WEIGHT OF A LINEAR CODE SIMEON BALL AND AART BLOKHUIS Absrac. I s shown ha h paramrs of a lnar cod ovr F q of lngh n, dmnson k, mnmum wgh d and maxmum wgh m sasfy a cran congrunc

More information

Chapter 7 Stead St y- ate Errors

Chapter 7 Stead St y- ate Errors Char 7 Say-Sa rror Inroucon Conrol ym analy an gn cfcaon a. rann ron b. Sably c. Say-a rror fnon of ay-a rror : u c a whr u : nu, c: ouu Val only for abl ym chck ym ably fr! nu for ay-a a nu analy U o

More information

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

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

More information

Reliability analysis of time - dependent stress - strength system when the number of cycles follows binomial distribution

Reliability analysis of time - dependent stress - strength system when the number of cycles follows binomial distribution raoal Joural of Sascs ad Ssms SSN 97-675 Volum, Numbr 7,. 575-58 sarch da Publcaos h://www.rublcao.com labl aalss of m - dd srss - srgh ssm wh h umbr of ccls follows bomal dsrbuo T.Sumah Umamahswar, N.Swah,

More information

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument Inrnaional Rsarch Journal of Applid Basic Scincs 03 Aailabl onlin a wwwirjabscom ISSN 5-838X / Vol 4 (): 47-433 Scinc Eplorr Publicaions On h Driais of Bssl Modifid Bssl Funcions wih Rspc o h Ordr h Argumn

More information

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control MEM 355 Prformanc Enhancmn of Dynamical Sysms A Firs Conrol Problm - Cruis Conrol Harry G. Kwany Darmn of Mchanical Enginring & Mchanics Drxl Univrsiy Cruis Conrol ( ) mv = F mg sinθ cv v +.2v= u 9.8θ

More information

Heisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari

Heisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari snbrg Modl Sad Mohammad Mahd Sadrnhaad Survsor: Prof. bdollah Langar bstract: n ths rsarch w tr to calculat analtcall gnvalus and gnvctors of fnt chan wth ½-sn artcls snbrg modl. W drov gnfuctons for closd

More information

CSE 245: Computer Aided Circuit Simulation and Verification

CSE 245: Computer Aided Circuit Simulation and Verification CSE 45: Compur Aidd Circui Simulaion and Vrificaion Fall 4, Sp 8 Lcur : Dynamic Linar Sysm Oulin Tim Domain Analysis Sa Equaions RLC Nwork Analysis by Taylor Expansion Impuls Rspons in im domain Frquncy

More information

Grand Canonical Ensemble

Grand Canonical Ensemble Th nsmbl of systms mmrsd n a partcl-hat rsrvor at constant tmpratur T, prssur P, and chmcal potntal. Consdr an nsmbl of M dntcal systms (M =,, 3,...M).. Thy ar mutually sharng th total numbr of partcls

More information

Chapter 13 Laplace Transform Analysis

Chapter 13 Laplace Transform Analysis Chapr aplac Tranorm naly Chapr : Ouln aplac ranorm aplac Tranorm -doman phaor analy: x X σ m co ω φ x X X m φ x aplac ranorm: [ o ] d o d < aplac Tranorm Thr condon Unlaral on-dd aplac ranorm: aplac ranorm

More information

The Hyperelastic material is examined in this section.

The Hyperelastic material is examined in this section. 4. Hyprlastcty h Hyprlastc matral s xad n ths scton. 4..1 Consttutv Equatons h rat of chang of ntrnal nrgy W pr unt rfrnc volum s gvn by th strss powr, whch can b xprssd n a numbr of dffrnt ways (s 3.7.6):

More information

IMPROVED RATIO AND PRODUCT TYPE ESTIMATORS OF FINITE POPULATION MEAN IN SIMPLE RANDOM SAMPLING

IMPROVED RATIO AND PRODUCT TYPE ESTIMATORS OF FINITE POPULATION MEAN IN SIMPLE RANDOM SAMPLING REVISTA IVESTIGAIO OPERAIOAL VOL. 6, O., 7-76, 6 IMPROVED RATIO AD PRODUT TPE ESTIMATORS OF FIITE POPULATIO MEA I SIMPLE RADOM SAMPLIG Gajndra K. Vshwaarma, Ravndra Sngh, P.. Gupa, Sarla Par Dparmn of

More information

"Science Stays True Here" Journal of Mathematics and Statistical Science, Volume 2016, Science Signpost Publishing

Science Stays True Here Journal of Mathematics and Statistical Science, Volume 2016, Science Signpost Publishing "Scnc Says r Hr" Jornal of Mahmacs and Sascal Scnc Volm 6 343-356 Scnc Sgnpos Pblshng Mhod for a Solon o Som Class of Qas-Sac Problms n Lnar Vscolascy hory as Appld o Problms of Lnar orson of a Prsmac

More information

Charging of capacitor through inductor and resistor

Charging of capacitor through inductor and resistor cur 4&: R circui harging of capacior hrough inducor and rsisor us considr a capacior of capacianc is conncd o a D sourc of.m.f. E hrough a rsisr of rsisanc R, an inducor of inducanc and a y K in sris.

More information

Mixture Ratio Estimators Using Multi-Auxiliary Variables and Attributes for Two-Phase Sampling

Mixture Ratio Estimators Using Multi-Auxiliary Variables and Attributes for Two-Phase Sampling Opn Journal of Sascs 04 4 776-788 Publshd Onln Ocobr 04 n Scs hp://scrporg/ournal/os hp://ddoorg/0436/os0449073 Mur ao Esmaors Usng Mul-Aular Varabls and Arbus for To-Phas Samplng Paul Mang Waru John Kung

More information

The Fourier Transform

The Fourier Transform /9/ Th ourr Transform Jan Baptst Josph ourr 768-83 Effcnt Data Rprsntaton Data can b rprsntd n many ways. Advantag usng an approprat rprsntaton. Eampls: osy ponts along a ln Color spac rd/grn/blu v.s.

More information

A Note on Estimability in Linear Models

A Note on Estimability in Linear Models Intrnatonal Journal of Statstcs and Applcatons 2014, 4(4): 212-216 DOI: 10.5923/j.statstcs.20140404.06 A Not on Estmablty n Lnar Modls S. O. Adymo 1,*, F. N. Nwob 2 1 Dpartmnt of Mathmatcs and Statstcs,

More information

CONTINUOUS TIME DYNAMIC PROGRAMMING

CONTINUOUS TIME DYNAMIC PROGRAMMING Eon. 511b Sprng 1993 C. Sms I. Th Opmaon Problm CONTINUOUS TIME DYNAMIC PROGRAMMING W onsdr h problm of maxmng subj o and EU(C, ) d (1) j ^ d = (C, ) d + σ (C, ) dw () h(c, ), (3) whr () and (3) hold for

More information

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

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

More information

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

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

More information

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao

More information

Analysis of decentralized potential field based multi-agent navigation via primal-dual Lyapunov theory

Analysis of decentralized potential field based multi-agent navigation via primal-dual Lyapunov theory Analyss of dcnralzd ponal fld basd mul-agn navgaon va prmal-dual Lyapunov hory Th MIT Faculy has mad hs arcl opnly avalabl. Plas shar how hs accss bnfs you. Your sory mars. Caon As Publshd Publshr Dmarogonas,

More information

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS

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

More information

Ergodic Capacity of a SIMO System Over Nakagami-q Fading Channel

Ergodic Capacity of a SIMO System Over Nakagami-q Fading Channel DUET Journal Vol., Issu, Jun Ergodc apac of a SIO Ssm Ovr Nakagam-q Fadng hannl d. Sohdul Islam * and ohammad akbul Islam Dp. of Elcrcal and Elcronc Engnrng, Islamc Unvrs of Tchnolog (IUT, Gazpur, Bangladsh

More information

Least squares and motion. Nuno Vasconcelos ECE Department, UCSD

Least squares and motion. Nuno Vasconcelos ECE Department, UCSD Las squars ad moo uo Vascoclos ECE Dparm UCSD Pla for oda oda w wll dscuss moo smao hs s rsg wo was moo s vr usful as a cu for rcogo sgmao comprsso c. s a gra ampl of las squars problm w wll also wrap

More information

Dynamic Power Allocation in MIMO Fading Systems Without Channel Distribution Information

Dynamic Power Allocation in MIMO Fading Systems Without Channel Distribution Information PROC. IEEE INFOCOM 06 Dynamc Powr Allocaon n MIMO Fadng Sysms Whou Channl Dsrbuon Informaon Hao Yu and Mchal J. Nly Unvrsy of Souhrn Calforna Absrac Ths papr consdrs dynamc powr allocaon n MIMO fadng sysms

More information

EE105 Fall 2015 Microelectronic Devices and Circuits. LTI: Linear Time-Invariant System

EE105 Fall 2015 Microelectronic Devices and Circuits. LTI: Linear Time-Invariant System EE5 Fall 5 Mrolron Dvs and Crus Prof. Mng C. Wu wu@s.rkl.du 5 Suarda Da all SD - LTI: Lnar Tm-Invaran Ssm Ssm s lnar sudd horoughl n 6AB: Ssm s m nvaran: Thr s no lok or m rfrn Th ransfr funon s no a funon

More information

On the Speed of Heat Wave. Mihály Makai

On the Speed of Heat Wave. Mihály Makai On h Spd of Ha Wa Mihály Maai maai@ra.bm.hu Conns Formulaion of h problm: infini spd? Local hrmal qulibrium (LTE hypohsis Balanc quaion Phnomnological balanc Spd of ha wa Applicaion in plasma ranspor 1.

More information

Conventional Hot-Wire Anemometer

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

More information

arxiv: v1 [math.ap] 16 Apr 2016

arxiv: v1 [math.ap] 16 Apr 2016 Th Cauchy problm for a combuson modl n porous mda J. C. da Moa M. M. Sanos. A. Sanos arxv:64.4798v [mah.ap] 6 Apr 6 Absrac W prov h xsnc of a global soluon o h Cauchy problm for a nonlnar racon-dffuson

More information

On One Analytic Method of. Constructing Program Controls

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

More information

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions Engnrng rcu naly 8h Eon hapr Nn Exrc Soluon. = KΩ, = µf, an uch ha h crcu rpon oramp. a For Sourc-fr paralll crcu: For oramp or b H 9V, V / hoo = H.7.8 ra / 5..7..9 9V 9..9..9 5.75,.5 5.75.5..9 . = nh,

More information

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors Boc/DiPrima 9 h d, Ch.: Linar Equaions; Mhod of Ingraing Facors Elmnar Diffrnial Equaions and Boundar Valu Problms, 9 h diion, b William E. Boc and Richard C. DiPrima, 009 b John Wil & Sons, Inc. A linar

More information

Almost unbiased exponential estimator for the finite population mean

Almost unbiased exponential estimator for the finite population mean Almos ubasd poal smaor for f populao ma Rajs Sg, Pakaj aua, ad rmala Saa, Scool of Sascs, DAVV, Idor (M.P., Ida (rsgsa@aoo.com Flor Smaradac ar of Dparm of Mamacs, Uvrs of Mco, Gallup, USA (smarad@um.du

More information

Dr. Junchao Xia Center of Biophysics and Computational Biology. Fall /21/2016 1/23

Dr. Junchao Xia Center of Biophysics and Computational Biology. Fall /21/2016 1/23 BIO53 Bosascs Lcur 04: Cral Lm Thorm ad Thr Dsrbuos Drvd from h Normal Dsrbuo Dr. Juchao a Cr of Bophyscs ad Compuaoal Bology Fall 06 906 3 Iroduco I hs lcur w wll alk abou ma cocps as lsd blow, pcd valu

More information

Advanced time-series analysis (University of Lund, Economic History Department)

Advanced time-series analysis (University of Lund, Economic History Department) Advanced me-seres analss (Unvers of Lund, Economc Hsor Dearmen) 3 Jan-3 Februar and 6-3 March Lecure 4 Economerc echnues for saonar seres : Unvarae sochasc models wh Box- Jenns mehodolog, smle forecasng

More information

Adaptive Critic Designs for Optimal Control of Power Systems

Adaptive Critic Designs for Optimal Control of Power Systems Adapv Crc Dsgns for Opmal Conrol of Powr Sysms G. K. Vnayagamoorhy, Snor Mmbr, IEEE, and R. G. Harly, Fllow, IEEE AbsracTh ncrasng complxy of h modrn powr grd hghlghs h nd for advancd modlng and conrol

More information

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 )

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 ) AR() Procss Th firs-ordr auorgrssiv procss, AR() is whr is WN(0, σ ) Condiional Man and Varianc of AR() Condiional man: Condiional varianc: ) ( ) ( Ω Ω E E ) var( ) ) ( var( ) var( σ Ω Ω Ω Ω E Auocovarianc

More information

Mechanics Physics 151

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

More information

Solutions of the linearized Richards equation with arbitrary boundary and initial conditions: flux and soil moisture respectively

Solutions of the linearized Richards equation with arbitrary boundary and initial conditions: flux and soil moisture respectively Hydrology ays Soluons of h lnard Rchards uaon wh arbrary boundary and nal condons: flux and sol mosur rspcvly M. Mnan S. Pugnagh Unvrsà dgl Sud d Modna Rggo Emla p. Inggnra d Maral dllambn Va Vgnols 95

More information

Introduction to logistic regression

Introduction to logistic regression Itroducto to logstc rgrsso Gv: datast D { 2 2... } whr s a k-dmsoal vctor of ral-valud faturs or attrbuts ad s a bar class labl or targt. hus w ca sa that R k ad {0 }. For ampl f k 4 a datast of 3 data

More information

Group Codes Define Over Dihedral Groups of Small Order

Group Codes Define Over Dihedral Groups of Small Order Malaysan Journal of Mathmatcal Scncs 7(S): 0- (0) Spcal Issu: Th rd Intrnatonal Confrnc on Cryptology & Computr Scurty 0 (CRYPTOLOGY0) MALAYSIA JOURAL OF MATHEMATICAL SCIECES Journal hompag: http://nspm.upm.du.my/ournal

More information

The Mathematics of Harmonic Oscillators

The Mathematics of Harmonic Oscillators Th Mhcs of Hronc Oscllors Spl Hronc Moon In h cs of on-nsonl spl hronc oon (SHM nvolvng sprng wh sprng consn n wh no frcon, you rv h quon of oon usng Nwon's scon lw: con wh gvs: 0 Ths s sos wrn usng h

More information

CHAPTER: 3 INVERSE EXPONENTIAL DISTRIBUTION: DIFFERENT METHOD OF ESTIMATIONS

CHAPTER: 3 INVERSE EXPONENTIAL DISTRIBUTION: DIFFERENT METHOD OF ESTIMATIONS CHAPTER: 3 INVERSE EXPONENTIAL DISTRIBUTION: DIFFERENT METHOD OF ESTIMATIONS 3. INTRODUCTION Th Ivrs Expoal dsrbuo was roducd by Kllr ad Kamah (98) ad has b sudd ad dscussd as a lfm modl. If a radom varabl

More information

Homework: Introduction to Motion

Homework: Introduction to Motion Homwork: Inroducon o Moon Dsanc vs. Tm Graphs Nam Prod Drcons: Answr h foowng qusons n h spacs provdd. 1. Wha do you do o cra a horzona n on a dsancm graph? 2. How do you wak o cra a sragh n ha sops up?

More information

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

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

More information

Sun and Geosphere, 2008; 3(1): ISSN

Sun and Geosphere, 2008; 3(1): ISSN Sun Gosphr, 8; 3(): 5-56 ISSN 89-839 h Imporanc of Ha Conducon scos n Solar Corona Comparson of Magnohdrodnamc Equaons of On-Flud wo-flud Srucur n Currn Sh Um Dn Gor Asronom Spac Scncs Dparmn, Scnc Facul,

More information

Comparative Study of Finite Element and Haar Wavelet Correlation Method for the Numerical Solution of Parabolic Type Partial Differential Equations

Comparative Study of Finite Element and Haar Wavelet Correlation Method for the Numerical Solution of Parabolic Type Partial Differential Equations ISS 746-7659, England, UK Journal of Informaon and Compung Scnc Vol., o. 3, 6, pp.88-7 Comparav Sudy of Fn Elmn and Haar Wavl Corrlaon Mhod for h umrcal Soluon of Parabolc Typ Paral Dffrnal Equaons S.

More information

Wave Equation (2 Week)

Wave Equation (2 Week) Rfrnc Wav quaion ( Wk 6.5 Tim-armonic filds 7. Ovrviw 7. Plan Wavs in Losslss Mdia 7.3 Plan Wavs in Loss Mdia 7.5 Flow of lcromagnic Powr and h Poning Vcor 7.6 Normal Incidnc of Plan Wavs a Plan Boundaris

More information

Spring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review

Spring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review Spring 6 Procss Dynamics, Opraions, and Conrol.45 Lsson : Mahmaics Rviw. conx and dircion Imagin a sysm ha varis in im; w migh plo is oupu vs. im. A plo migh imply an quaion, and h quaion is usually an

More information

Midterm exam 2, April 7, 2009 (solutions)

Midterm exam 2, April 7, 2009 (solutions) Univrsiy of Pnnsylvania Dparmn of Mahmaics Mah 26 Honors Calculus II Spring Smsr 29 Prof Grassi, TA Ashr Aul Midrm xam 2, April 7, 29 (soluions) 1 Wri a basis for h spac of pairs (u, v) of smooh funcions

More information

CHAPTER 7d. DIFFERENTIATION AND INTEGRATION

CHAPTER 7d. DIFFERENTIATION AND INTEGRATION CHAPTER 7d. DIFFERENTIATION AND INTEGRATION A. J. Clark School o Engnrng Dpartmnt o Cvl and Envronmntal Engnrng by Dr. Ibrahm A. Assakka Sprng ENCE - Computaton Mthods n Cvl Engnrng II Dpartmnt o Cvl and

More information

EE243 Advanced Electromagnetic Theory Lec # 10: Poynting s Theorem, Time- Harmonic EM Fields

EE243 Advanced Electromagnetic Theory Lec # 10: Poynting s Theorem, Time- Harmonic EM Fields Appl M Fall 6 Nuruhr Lcur # r 9/6/6 4 Avanc lcromagnc Thory Lc # : Poynng s Thorm Tm- armonc M Fls Poynng s Thorm Consrvaon o nrgy an momnum Poynng s Thorm or Lnar sprsv Ma Poynng s Thorm or Tm-armonc

More information

Solution in semi infinite diffusion couples (error function analysis)

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

More information

Elementary Differential Equations and Boundary Value Problems

Elementary Differential Equations and Boundary Value Problems Elmnar Diffrnial Equaions and Boundar Valu Problms Boc. & DiPrima 9 h Ediion Chapr : Firs Ordr Diffrnial Equaions 00600 คณ ตศาสตร ว ศวกรรม สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา /55 ผศ.ดร.อร ญญา ผศ.ดร.สมศ

More information

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline Introucton to Ornar Dffrntal Equatons Sptmbr 7, 7 Introucton to Ornar Dffrntal Equatons Larr artto Mchancal Engnrng AB Smnar n Engnrng Analss Sptmbr 7, 7 Outln Rvw numrcal solutons Bascs of ffrntal quatons

More information

10.5 Linear Viscoelasticity and the Laplace Transform

10.5 Linear Viscoelasticity and the Laplace Transform Scn.5.5 Lnar Vclacy and h Lalac ranfrm h Lalac ranfrm vry uful n cnrucng and analyng lnar vclac mdl..5. h Lalac ranfrm h frmula fr h Lalac ranfrm f h drvav f a funcn : L f f L f f f f f c..5. whr h ranfrm

More information

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables Improvd Epoal Emaor for Populao Varac Ug Two Aular Varabl Rajh gh Dparm of ac,baara Hdu Uvr(U.P., Ida (rgha@ahoo.com Pakaj Chauha ad rmala awa chool of ac, DAVV, Idor (M.P., Ida Flor maradach Dparm of

More information

COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP

COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP ISAHP 00, Bal, Indonsa, August -9, 00 COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP Chkako MIYAKE, Kkch OHSAWA, Masahro KITO, and Masaak SHINOHARA Dpartmnt of Mathmatcal Informaton Engnrng

More information

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system 8. Quug sysms Cos 8. Quug sysms Rfrshr: Sml lraffc modl Quug dscl M/M/ srvr wag lacs Alcao o ack lvl modllg of daa raffc M/M/ srvrs wag lacs lc8. S-38.45 Iroduco o Tlraffc Thory Srg 5 8. Quug sysms 8.

More information

Logistic equation of Human population growth (generalization to the case of reactive environment).

Logistic equation of Human population growth (generalization to the case of reactive environment). Logisic quaion of Human populaion growh gnralizaion o h cas of raciv nvironmn. Srg V. Ershkov Insiu for Tim aur Exploraions M.V. Lomonosov's Moscow Sa Univrsi Lninski gor - Moscow 999 ussia -mail: srgj-rshkov@andx.ru

More information

1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to:

1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to: Rfrncs Brnank, B. and I. Mihov (1998). Masuring monary policy, Quarrly Journal of Economics CXIII, 315-34. Blanchard, O. R. Proi (00). An mpirical characrizaion of h dynamic ffcs of changs in govrnmn spnding

More information

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

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

More information

Transient Analysis of Two-dimensional State M/G/1 Queueing Model with Multiple Vacations and Bernoulli Schedule

Transient Analysis of Two-dimensional State M/G/1 Queueing Model with Multiple Vacations and Bernoulli Schedule Inrnaonal Journal of Compur Applcaons (975 8887) Volum 4 No.3, Fbruary 22 Transn Analyss of Two-dmnsonal Sa M/G/ Quung Modl wh Mulpl Vacaons and Brnoull Schdul Indra Assoca rofssor Dparmn of Sascs and

More information

A MATHEMATICAL MODEL FOR NATURAL COOLING OF A CUP OF TEA

A MATHEMATICAL MODEL FOR NATURAL COOLING OF A CUP OF TEA MTHEMTICL MODEL FOR NTURL COOLING OF CUP OF TE 1 Mrs.D.Kalpana, 2 Mr.S.Dhvarajan 1 Snior Lcurr, Dparmn of Chmisry, PSB Polychnic Collg, Chnnai, India. 2 ssisan Profssor, Dparmn of Mahmaics, Dr.M.G.R Educaional

More information

Chapter 7. Now, for 2) 1. 1, if z = 1, Thus, Eq. (7.20) holds

Chapter 7. Now, for 2) 1. 1, if z = 1, Thus, Eq. (7.20) holds Chapr 7, n, 7 Ipuls rspons of h ovng avrag flr s: h[, ohrws sn / / Is frquny rspons s: sn / Now, for a BR ransfr funon,, For h ovng-avrag flr, sn / W shall show by nduon ha sn / sn / sn /,, Now, for sn

More information

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables Rajh gh Dparm of ac,baara Hdu Uvr(U.P.), Ida Pakaj Chauha, rmala awa chool of ac, DAVV, Idor (M.P.), Ida Flor maradach Dparm of Mahmac, Uvr of w Mco, Gallup, UA Improvd Epoal Emaor for Populao Varac Ug

More information

Final Exam : Solutions

Final Exam : Solutions Comp : Algorihm and Daa Srucur Final Exam : Soluion. Rcuriv Algorihm. (a) To bgin ind h mdian o {x, x,... x n }. Sinc vry numbr xcp on in h inrval [0, n] appar xacly onc in h li, w hav ha h mdian mu b

More information

Joint State and Parameter Estimation by Extended Kalman Filter (EKF) technique

Joint State and Parameter Estimation by Extended Kalman Filter (EKF) technique Inrnaonal Journal o Engnrng Rsarch an Dvlopmn -ISSN: 78-67 p-issn: 78-8 www.jr.com Volum Issu 8 (Augus 5.4-5 Jon Sa an aramr Esmaon by En alman Flr (EF chnu S. Damoharao.S.L.V. Ayyarao G Sun Dp. o EEE

More information

Chap 2: Reliability and Availability Models

Chap 2: Reliability and Availability Models Chap : lably ad valably Modls lably = prob{s s fully fucog [,]} Suppos from [,] m prod, w masur ou of N compos, of whch N : # of compos oprag corrcly a m N f : # of compos whch hav fald a m rlably of h

More information

On the Existence and uniqueness for solution of system Fractional Differential Equations

On the Existence and uniqueness for solution of system Fractional Differential Equations OSR Jourl o Mhms OSR-JM SSN: 78-578. Volum 4 ssu 3 Nov. - D. PP -5 www.osrjourls.org O h Es d uquss or soluo o ssm rol Drl Equos Mh Ad Al-Wh Dprm o Appld S Uvrs o holog Bghdd- rq Asr: hs ppr w d horm o

More information

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder Nolr Rgrsso Mjor: All Egrg Mjors Auhors: Aur Kw, Luk Sydr hp://urclhodsgusfdu Trsforg Nurcl Mhods Educo for STEM Udrgrdus 3/9/5 hp://urclhodsgusfdu Nolr Rgrsso hp://urclhodsgusfdu Nolr Rgrsso So populr

More information

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals MECE 330 MECE 330 Masurms & Isrumao Sac ad Damc Characrscs of Sgals Dr. Isaac Chouapall Dparm of Mchacal Egrg Uvrs of Txas Pa Amrca MECE 330 Sgal Cocps A sgal s h phscal formao abou a masurd varabl bg

More information

2/20/2013. EE 101 Midterm 2 Review

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

More information