Asymptotic Regional Boundary Observer in Distributed Parameter Systems via Sensors Structures

Size: px
Start display at page:

Download "Asymptotic Regional Boundary Observer in Distributed Parameter Systems via Sensors Structures"

Transcription

1 Sesors,, 37-5 sesors ISSN 44-8 by MDPI hp:// Asympoc Regoal Boudary Observer Dsrbued Parameer Sysems va Sesors Srucures Raheam Al-Saphory Sysems Theory Laboraory, Uversy of Perpga, 5, aveue de vlleeuve, 6686 Perpga, Frace. E-mal : saphory@uv-perp.fr Receved: 6 March / Acceped: 4 Aprl / Publshed: 6 Aprl Absrac: The purpose of hs paper s o sudy he cocep of asympoc regoal observer coeco wh he characerzaos of sesors. We gve varous resuls relaed o dffere ypes of measuremes, of domas ad boudary codos. Furhermore, we show ha he measuremes srucures allow he exsece of regoal observer ad we gve a suffce codo for such observer. We also show ha, here exss a dyamcal sysem for he cosdered sysem s o observer he usual sese, bu may be regoal boudary observer. Key words: Sesors, -deecably, -observers, Dffuso sysem.. Iroduco The observer heory was roduced by Lueberger [] ad s geeralzed o fe dmesoal corol sysems descrbed by sem-group operaors []. The aalyss of dsrbued parameer sysems has receved much aeo he leraures [3, 4, 5]. The sudy of hs oo, hrough he srucure of he sesors ad he acuaors, was developed by El Ja ad Prchard [6, 7]. The oo of regoal aalyss was exeded by El Ja ad Zerrk e al. [8, 9]. Ths sudy movaed by cera cocree-real problems, hermc, mechac, evrome [, ]. If a sysem defed o a doma s represeed as he Fg., he we are eresed he regoal sae o or Г of he doma. The cocep of asympoc regoal aalyss was roduced recely by Al-Saphory ad El Ja [, 3, 4], cosss sudyg he behavor of sysems o all he doma bu oly o parcular regos or Г of he doma. I hs pape we are oly eresed he asympoc regoal boudary sae o a rego Г of he boudary. The purpose of hs paper s o gve some resuls relaed o he

2 Sesors, 38 lk bewee he Г-observer ad he umber of sesors, her locaos, he geomercal domas ad boudary codos. measuremes Fgure. Doma, regos, Г ad locaos of measuremes. The paper s orgazed as follows. Seco cocers he formulao problem ad prelmares. Seco 3, devoes o he roduco of Г-deecably problem. I seco 4, we gve some defos ad characerzaos cocers Г-observer ad sraegc sesors. We show ha here exss a couer-example of he case Г-observer whch s o observe he whole domae. I he las seco, we llusrae applcaos wh varous suaos of sesor locaos ad we characerze such a regoal boudary observer o a dffuso sysem.. Problem Saeme Le be a regula bouded ad ope se of R, wh smooh boudary ad be a oempy gve subrego of, wh posve measureme. We deoe = ], [ ad = ], [. We cosder he sysem descrbed by he followg parabolc equao z z z η, = Az = = z wh he oupu fuco y., = Cz.,. ad we assume ha Z, U, O be separable lber spaces where Z s he sae space, U he corol space ad O he observao space. Usually we cosder Z =, U = L,, R p ad O = L,, R q where p ad q hold for he umber of acuaors ad sesors. A s a secod order lear dffereal operaor whch geeraes a srogly couous sem-group S A o Z ad s selfadjo wh compac resolve. The operaors B L R p, Z ad C L Z, R q deped o he srucure of acuaors ad sesors [7]. Uder he gve assumpos, he sysem. has a uque soluo gve by.

3 Sesors, 39 z., = SA z. + SA τ Bu τ dτ.3 The measuremes ca be obaed by he use of zoe, powse or les sesors whch may be locaed or [7]. Le us recall ha a sesor by ay couple D, f where D deoe closed subses of, whch s spaal suppor of sesor ad f L D defes he spaal dsrbuo of measureme o D. Accordg o he choce of he parameers D ad f, we have varous ypes of sesors. A sesors may be a zoe ypes whe D. The oupu fuco. ca be wre he form y = Cz., = z f d.4 D A sesor may also be a po whe D = {b} ad f = δ. - b where δ s he Drac mass coceraed b. The, he oupu fuco. may be gve by he form y = Cz., = z δb b d.5 I he case of boudary zoe seso we cosder D = wh oupu fuco. ca he be wre he form ad f L. The y = Cz., = z η, f η dη.6 The operaor C s ubouded ad some precauos mus be ake [7, 5]. The operaor K defed by K L R z CS A z q :,, ad he case of eral zoe sesors s, lear ad bouded wh a adjo * q K : L,, R * * * * A τ y S C y dτ The race operaor of order zero / γ : * s lea surjecve ad couous wh adjo deoed by γ Cosder a subdoma of ad le χ be he fuco defed by χ / / : z χ z = z * where z s he resrco of he sae z o. We deoe by χ he adjo of χ. Le χ be he fuco defed by χ where z χ z = z : z s he resrco of he sae z o.

4 Sesors, 4 The operaor T : / s gve by T = χ γ T Recallg some defos cocer he oo of -observably as [9, 6] : The auoomous sysem assocaed o.-. s sad o be exacly respecvely weakly -observable f : * / * Im χ γ K = respecvely Im χ / γ K = The sue D, f q of sesors s sad o be -sraegc f he sysem. ogeher wh he oupu fuco. s weakly -observable. For he dual resuls cocerg he acuaors srucures [7]. 3. Regoal boudary deecably The ma reaso for roducg -deecably s, he possbly o cosruc a -esmaor for he curre sae of he orgal sysem. Ths cocep s exeded by Al-Saphory ad El Ja [3]. For hs objecve we recall some defos cocer hs cocep : The sysem. s sad o be -sable, f he operaor A geeraes a sem-group whch s sable o he space /. I s easy o see ha he sysem. s -sable, f ad oly f, for some posve cosas M ad α, we have γ S α. / Me, A If S A s sable sem-group /, he for all z, he soluo of he assocaed auoomous sysem sasfes lm γ z., = lm γ S z. = 3. / / A The sysem. ogeher wh he oupu. s sad o be -deecable, f here exss a q operaor : R / such ha A C geeraes a srogly couous sem-group S whch s sable o /. If a sysem s orgal sysem. If we cosder he sysem x = Ax + x = x x η, = -deecable, he s possble o cosruc a asympoc -observer for he y., Cy he x, esmaes asympocally he sae z, because he error e, = z -x, sasfes e = A C e wh e, = z -x,. The, f he sysem s -deecable, s possble o choose whch realzes lm e., / =. 3.

5 Sesors, 4 Remark 3.. I hs pape we oly eed he relao 3. o be rue o a gve subrego of he rego lm χγ z., = lm χγ S z. = 3.3 / / A we may refer o hs as -sably. The sysem. s sad o be -sable, f he operaor A geeraes a sem-group whch s sable o /. The sysem.-. s sad o be -deecable f here exss a operaor q : R / such ha A C geeraes a srogly couous sem-group S whch s sable o /. For more deal [8]. oweve oe ca easly have he followg resuls : Corollary 3.. If he sysem. ogeher wh oupu fuco. s exacly -observable, he s -deecable. Ths resul leads o: γ > χ γ = 3.4 such ha S z. CS z., z / A / A L,, O Thus, he oo of -deecably s a weaker propery ha he exac -observably as Ref. [6]. 4. Asympoc -observer ad sraegc sesors I hs seco, we propose a approach whch allows o deermae a regoal asympoc esmaor of z o, based o he eral asympoc -observer. Ths mehod eed some defos cocer regoal observer as []. 4.. Defos ad characerzaos Cosder he sysem. -. ogeher wh he dyamcal sysem x = F x = x x η, = x + G u + y 4. where F geeraes a srogly couous sem-group S F whch s sable o X =,.e. : M, > such ha α F F χ S F F α F. M e 4. p ad, q G L R ad L R,. The sysem 4. defes a asympoc - esmaor for χ T where z, s a soluo of he sysem. -. f

6 Sesors, 4 χ lm x., T., = ad χ T maps DA o D F where x, s he soluo of he sysem 4.. The sysem 4. specfes a -observer for he sysem. -. f he followg codos hold: q. There exss M L R, L ad N L L such ha M C + N χt = I.. χ TA + F χt = G C ad = χtb. 3. The sysem 4. defes a asympoc -esmaor for χ T. The sysem 4. s sad o be a dey -observer for he sysem. -. f ad Z = X. The sysem 4. s sad o be a reduced-order -observer for he sysem. -. f Z = O X. E r sesors Fgure : The cosdered doma ad he subrego r. The boudary regoal observer may be see as eral regoal observer f we cosder he followg rasformaos. Le R be he couous lear exeso operaor [9] R : / such ha γ R = 4.3 / h, h,, h Le r> s a arbrary ad suffcely small real ad le he ses E = B z, r ad = E z r where Bz, r s he ball of radus r ceered z, ad where s a par of r Fg.. Proposo 4.. If he sysem. -. s exacly respecvely weakly r -observable, he s exacly respecvely weakly -observable see [9]. From hs resul, we ca deduce he followg proposo : Proposo 4.. The dyamcal sysem 4. s Lueberger. -., he s Lueberger -observer. r -observer for he sysem Proof: Le x / ad x, s exeso o / usg 4.3 ad race heorem, here exss R x, wh a bouded suppor such ha

7 Sesors, 43 γ R x = x 4.4 Sce he sysem 4. s regoal observer o r so we ca deduce ha : The sysem 4. s regoal observer o, here exss a dyamcal sysem wh ha r x X such χ T z = χ R x he we have * χ γ χ χt z = x 4.5 The equaos. ad 4.5 allow y x C = χ γ χ * z χt ad here exs wo lear bouded operaors R ad S sasfy he relao RC+ χ γ χ χ T = I * There exss a operaor F s regoally sable o r, he s regoally sable o [8]. Fally he sysem 4. s a regoal boudary observer o. r 4. Suffce codo for -observer As Refs. [7,8], we develop a characerzed resul ha lks he -observer ad sraegc sesors ad we gve a suffce codo for -observer. For ha purpose, we assume ha here exss a complee se of egefucos ϕ of A, assocaed o he egevalues λ wh a mulplcy s ad suppose ha he fucos ψ defed by ψ = χ γ ϕ, s a complee se /. If he sysem. has J usable modes, he we have he followg heorem. Theorem 4.3. Suppose ha here are q zoe sesors D ad he specrum of A coas J, f q egevalues wh o-egave real pars. If he followg codos are sasfed :. q > s. rak G = r,, =,..., J wh G = G where sup j < ψ., f. > j = ψ b j < ψ f >.,. j L D L zoe sesor case s = s < ad j =,..., s. The he dyamcal sysem powse sesor case boudary zoe sesor case

8 Sesors, 44 x = Ax C x z., x = x x η, = 4.6 s -observer for he sysem. -.,.e. lm x., T z., / =. Proof : The proof s lmed o he case of zoe sesors he followg sapes : Sep. Uder he assumpos of seco, he sysem. ca be decomposed by he projecos P ad I - P o wo pars, usable ad sable. The sae vecor may be gve by where z, s he sae compoe of he usable par of he sysem., may be wre he form z z z η, = Az = z = ad z, s he compoe sae of he sable par of he sysem. gve by z = Az z = z z η, = The operaor A s represeed by a marx of order s, s gve r r r A = dag λ,..., λ,..., λ,..., λ,..., λ,..., λ ] ad PB = G, G,..., G ] [ J J J = J = [ Sep. The codo of hs heorem, allows ha he sue D, f q of sesors s - sraegc, he subsysem 4.7 s weakly -observable [6] ad sce s fe dmesoal, he s exacly -observable. Therefore s -deecable, ad hece here exss a operaor such ha A whch s sasfed he followg : c M, > such ha A α e M e α ad he we have / J z α., / M e Pz. / Sce he sem-group geeraed by he operaor A s sable o /, he here exs M, α > such ha

9 Sesors, 45 α α τ / + / / z, / whe. Fally, he sysem -. z., M e I P z. M e I P z. u τ dτ ad herefore. s -deecable. Sep 3. Le e = z x where x, s he soluo of he sysem 4.6. Dervg he above equao ad usg he equaos. ad 4.6, we oba e z x = = A z Ax z., x = A C e q Sce he sysem. -. s -deecable, here exss a operaor, / L R, such ha he operaor A C, geeraes a sable, srogly couous sem-group S o he space / whch s sasfed he followg relaos : M, α > such ha Fally, we have χ γ S. / α M e e., / χ γ S. e. M e e. / wh e = z x ad herefore lm e., / = α Thus, he dyamcal sysem 4.6 a -observer for he sysem. -.. Remark 4.4. From heorem 4.3., we ca deduce he followg saemes :. A dyamcal sysem whch s a -observer s -observer.. If a sysem s -observe he s observer every subse of, bu he coverse s o rue. Ths may be prove he followg example: Example 4.5. Cosder a wo-dmesoal sysem descrbed by he dffuso equao z, = z z, = z z η, η, = where =],[ ],[. The operaor A = geeraes a srogly couous sem-group S o A he lber space gve by 4.9 A, m= λm S z = e < z, ϕ > ϕ m m

10 Sesors, 46 where λ = + m π, ϕ, a cos π cos mπ ad m m = m Cosder he dyamcal sysem x, = x, C x z, x, = x x η, η, = / am = λ m. 4. q q where L R, Z, Z s a lber space ad C : R s a lear operaor. Cosder he boudary sesor, f defed by = {} ], [ ad f η, η = cosπη. Thus, he oupu fuco ca be wre by y = z η,η, f η,η dη d η 4. If he sae z s defed by z, = cos πcosπ, he he sysem s o weakly observable,.e. he sesor, f s o sraegc ad herefore he sysem s o deecable. Thus, he dyamcal sysem 4. s o observer for he sysem see [6]. ere, we cosder he rego = ],[ {} Fg. 3 ad he dyamcal sysem Fgure 3. Doma, rego ad locao of zoe sesor. x, = x, x = x x η, η, = C x,, z,, 4. q where L R, /. I hs case, he sysem s weakly observable ad he sesor, f s -sraegc [9]. Thus, he sysem s -deecable [3]. Fally he dyamcal sysem 4.9 s -observer for he sysem [8].

11 Sesors, Applcao o sesors srucures I hs seco, we cosder he dsrbued dffuso sysems defed o =, a [ ], [. We ] a explore varous resuls relaed o dffere ypes of measuremes, domas ad boudary codos. 5. Case of a zoe sesor We sudy he followg cases : 5.. Recagular doma I hs case, he sysem. -. s gve by z z, z η, η, υ y = z,, = z = =, z η, η f η, η dη dη Σ 5. where Σ = ], [, D s he locao of zoe sesor ad above sysem represe he heacoduco problem see Ref. []. Le = { a } ], a[ be a rego of o ], a [ ], a[ The egefucos ad he egevalues are gve by ad ψ = m cos π cos mπ 5. aa a a m λm = + π 5.3 a a If a /a, he he mulplcy of s = m ad oe sesor ca be guaraeed -sraegc sesor see []. The dyamcal sysem 4.6 may be gve by x = x x = x x η, η, = C x,, z,, Le he measureme suppor s recagular wh D = [ l, + l] [ l, + l]. If f s symmerc abou = ad f s symmerc wh respec o =, he we have he followg resul : Corollary 5.. The dyamcal sysem 5.4 s -observer for he sysem 5. f / a ad m a N for every, m =,..., J. / 5.4

12 Sesors, 48 I he case where ad f L, he sesor D, f may be locaed o he boudary = η l, η + ] { a } he we have : [ l a D a a η - - a η a a - η Fgure 4. Doma, rego ad locaos D,, of zoe sesor. Corollary 5... Oe sde case : Suppose ha he sesor D, f s locaed o = [ η l, η + l] { a } ad f s symmerc wh respec o η = η, he he dyamcal sysem 5.4 s - observer for he sysem 5. f η / a N for every, m =,..., J.. Two sde case : Suppose ha he sesor D, f s locaed o =, η + ] {} {}, η + ] [ l ad f s symmerc wh respec o [ l η = η ad he fuco f s symmerc wh respec o η = η, he he dyamcal sysem 5.4 s -observer for he sysem 5. f η a ad mη a N for every, m =,..., J. / / 5.. Dsk doma The sysem 5. may be gve by he followg form z θ, z θ, z a, θ, υ y = z θ, = z = = θ z r, θ, f r, θ dr dθ 5.5 Σ where < θ < π, = D, a, r = a > ad = θ [,π ], > are defed as Fg. 5. Le he egefucos ad egevalues cocerg he rego = D a, θ of wh θ [,π ] are defed by q λ =,, m m β m 5.6 where β m are he zeros of he Bessel fucos J ad

13 Sesors, 49 ϕ m θ = J β m r m ϕ θ = J β r cos θ, m 5.7 m m ϕ, = s, m m r θ J r β m θ p p p θ θ a p θ θ a Fgure 5. Doma, rego ad locaos p, p of eral boudary zoe sesors. wh mulplcy s m = for all m ad s m = for all m =. I hs case, he -sraegc sesor s requred a leas wo zoe sesors D, f q where D = r, θ q see [6]. The dyamcal sysem 5.4 ca be wre by x θ, = x θ, + x θ, = x θ x a, θ, = υ If f ad D are symmerc wh respec o C z θ, x θ, θ =, for all q, he we have : θ 5.8 Corollary 5.3. The dyamcal sysem 5.8 s for every, =,..., J. observer for he sysem 5.5 f θ θ /π N o Whe he sesors are locaed o ad he fuco, f q θ = θ, q as Fg. 5. So, we have. f s symmerc wh respec Corollary 5.4. The dyamcal sysem 5.8 s for every, =,..., J. observer for he sysem 5.5 f θ θ / π N 5. Case a powse sesor I hs subseco, we cosder he followg cases :

14 Sesors, The doma =, a [ ], [ ] a Now he sysem 5.5 s gve by he form z z, z η, η, υ y If = z,, = z = =, z η, η f η, η dη dη b = b, b he, we have : Σ 5.9 b σ b a a a b b b b a b a a Fgure 6. Recagular doma, rego ad locaos b, σ of powse sesors. Corollary Ieral case : If b / a ad mb / a N for every, m=,..., J, he he dyamcal sysem 5.4 s -observer for he sysem Flame case : Suppose ha he observao s gve by he flame sesor where σ = Im γ s symmerc wh respec o he le b = b, b, f b / a ad mb / a N for every, m=,..., J, he dyamcal sysem 5.4 s -observer for he sysem Boudary case : If mb / a N for every m =,..., J, he he dyamcal sysem 5.4 s - observer for he sysem The doma = D, a The sysem 5.5 may be gve by he followg form z θ, = z θ, z θ, = z θ z a, θ, = υ y = z θ, δ p r r, θ θ dr dθ Σ 5.

15 Sesors, 5 where θ π. The sesors may be locaed p = r, ad p = r, or p = a, θ Fg. 7. θ θ D D θ θ a θ θ a Fgure 7. Dsc doma, rego ad locaos p, p of eral boudary powse sesors. Corollary If he sesors p, δ p q are locaed p = r, θ ad θ θ / π N for every, =,..., J, he he dyamcal sysem 5.8 s -observer for he sysem 5... If he sesors p, δ p are locaed p = a, θ q ad θ θ / π N for every, =,..., J, he he dyamcal sysem 5.8 s -observer for he sysem Cocluso The cocep suded hs paper s relaed o he case of dey -observer coeco wh he sesors srucure. For hs class of parabolc dsrbued parameer sysems, may eresg resuls cocerg he choce of he sesor are explored ad llusraed specfc suaos of he doma. I smlar way, we ca characerze he geeral case reduced-order -observer by sesors srucure. A mpora exeso of hese resuls, relaed o he problem of regoal boudary grade observe coeco wh he srucure of sesors; s uder cosderao. Refereces. Lueberge D. Observers for mul-varable sysems. IEEE Trasacos o Auomacs Corol 966,, Gressag, R.; Lamo, G. B. Observers for sysems characerzed by sem-groups. IEEE Trasacos o Auomacs Corol 975,, Fuj, N.; ra, M. A fe-dmesoal asympoc observer for a class of dsrbued parameer sysems. Ieraoal Joural of Corol 98, 3, ou, M.; Mulle P.C. Desg of observers for lear sysems wh ukow pus, IEEE Trasacos Auomac Corol 99, 37, Cura, R. F.; Zwa. J. Iroduco o fe dmesoal lear heory sysems; Sprger- Verlag : New York, 995.

16 Sesors, 5 6. El Ja, A.; Prchard, A. J. Sesors ad acuaors dsrbued parameer sysems Ieraoal Joural of Corol 987, 46, El Ja, A.; Prchard, A. J. Sesors ad corols he aalyss of dsrbued sysems; Ells orwood seres Mahemacs ad s Applcaos, Wley : New York, El Ja, A.; Smo, M. C.; Zerrk, E. Regoal observably ad sesor srucures. Sesors ad Acuaors 993, 39, Zerrk, E.; Badraou, L.; El Ja, A. Sesors ad regoal boudary sae recosruco of parabolc sysems. Sesors ad Acuaors 999, 75, -7.. El Ja, A.; Zerrk, E.; Smo, M. C.; Amouroux, M. Regoal observably of a hermal process. IEEE Trasacos o Auomac Corol 995, 4, Al-Saphory, R.; El Ja, A. Sesors ad asympoc -observer for dsrbued dffuso sysems. Sesors,, Al-Saphory, R.; El Ja, A. Sesors srucures ad regoal deecably of parabolc dsrbued sysems. Sesors ad Acuaors, 9, Al-Saphory, R.; El Ja, A. Sesors characerzaos for regoal boudary deecably of dsrbued parameer sysems. Sesors ad Acuaors, 94, Al-Saphory, R.; El Ja, A. Asympoc regoal sae recosruco. Ieraoal Joural of Sysems Scece o appear. 5. Cura, R. F. Fe dmesoal compesaors for parabolc dsrbued sysems wh ubouded corol ad observao. SIAM J. Corol ad Opmsao 984,, Zerrk, E.; Badraou, L. Sesors characerzao for regoal boudary observably. Ieraoal Joural of Appled Mahemacs ad Compuer Scece,, Zerrk, E.; Bououlou, L.; El Ja, A. Acuaors ad regoal boudary corollably of parabolc sysems. Ieraoal Joural of Sysems Scece, 3, Al-Saphory, R. Asympoc regoal aalyss for a class of dsrbued parameer sysemes, Ph.D. hess, Uversy of Perpga, Frace,. 9. Dauray R.; Los, J.L. Aalyse mahémaque e calcul umérque pour les sceces e les echques; sére scefque 8, Masso : Pars, Kamura, S.; Saka S.; Nshmura, M. Observer for dsrbued-parameer dffuso sysems. Elecrcal egeerg Japa 97, 9, El Ja, A.; El Yacoub, S. O he umber of acuaors parabolc sysem, Ieraoal Joural of Appled Mahemacs ad Compuer Scece 993, 3, Sample Avalably: Avalable from he auhors. by MDPI hp:// Reproduco s permed for ocommercal purposes.

Sensors and Regional Gradient Observability of Hyperbolic Systems

Sensors and Regional Gradient Observability of Hyperbolic Systems Iellge Corol ad Auoao 3 78-89 hp://dxdoorg/436/ca3 Publshed Ole February (hp://wwwscrporg/oural/ca) Sesors ad Regoal Grade Observably of Hyperbolc Syses Sar Behadd Soraya Reab El Hassae Zerr Maheacs Depare

More information

Key words: Fractional difference equation, oscillatory solutions,

Key words: Fractional difference equation, oscillatory solutions, OSCILLATION PROPERTIES OF SOLUTIONS OF FRACTIONAL DIFFERENCE EQUATIONS Musafa BAYRAM * ad Ayd SECER * Deparme of Compuer Egeerg, Isabul Gelsm Uversy Deparme of Mahemacal Egeerg, Yldz Techcal Uversy * Correspodg

More information

The algebraic immunity of a class of correlation immune H Boolean functions

The algebraic immunity of a class of correlation immune H Boolean functions Ieraoal Coferece o Advaced Elecroc Scece ad Techology (AEST 06) The algebrac mmuy of a class of correlao mmue H Boolea fucos a Jgla Huag ad Zhuo Wag School of Elecrcal Egeerg Norhwes Uversy for Naoales

More information

The Mean Residual Lifetime of (n k + 1)-out-of-n Systems in Discrete Setting

The Mean Residual Lifetime of (n k + 1)-out-of-n Systems in Discrete Setting Appled Mahemacs 4 5 466-477 Publshed Ole February 4 (hp//wwwscrporg/oural/am hp//dxdoorg/436/am45346 The Mea Resdual Lfeme of ( + -ou-of- Sysems Dscree Seg Maryam Torab Sahboom Deparme of Sascs Scece ad

More information

Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables

Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables Joural of Sceces Islamc epublc of Ira 6(: 63-67 (005 Uvers of ehra ISSN 06-04 hp://scecesuacr Some Probabl Iequales for Quadrac Forms of Negavel Depede Subgaussa adom Varables M Am A ozorga ad H Zare 3

More information

The Poisson Process Properties of the Poisson Process

The 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 information

VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS. Hunan , China,

VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS. Hunan , China, Mahemacal ad Compuaoal Applcaos Vol. 5 No. 5 pp. 834-839. Assocao for Scefc Research VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS Hoglag Lu Aguo Xao Yogxag Zhao School of Mahemacs

More information

Fully Fuzzy Linear Systems Solving Using MOLP

Fully Fuzzy Linear Systems Solving Using MOLP World Appled Sceces Joural 12 (12): 2268-2273, 2011 ISSN 1818-4952 IDOSI Publcaos, 2011 Fully Fuzzy Lear Sysems Solvg Usg MOLP Tofgh Allahvraloo ad Nasser Mkaelvad Deparme of Mahemacs, Islamc Azad Uversy,

More information

14. Poisson Processes

14. 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 information

Asymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse

Asymptotic 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 information

AML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending

AML710 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

Continuous Indexed Variable Systems

Continuous Indexed Variable Systems Ieraoal Joural o Compuaoal cece ad Mahemacs. IN 0974-389 Volume 3, Number 4 (20), pp. 40-409 Ieraoal Research Publcao House hp://www.rphouse.com Couous Idexed Varable ysems. Pouhassa ad F. Mohammad ghjeh

More information

Stability Criterion for BAM Neural Networks of Neutral- Type with Interval Time-Varying Delays

Stability Criterion for BAM Neural Networks of Neutral- Type with Interval Time-Varying Delays Avalable ole a www.scecedrec.com Proceda Egeerg 5 (0) 86 80 Advaced Corol Egeergad Iformao Scece Sably Crero for BAM Neural Neworks of Neural- ype wh Ierval me-varyg Delays Guoqua Lu a* Smo X. Yag ab a

More information

FORCED VIBRATION of MDOF SYSTEMS

FORCED 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 information

(1) Cov(, ) E[( E( ))( E( ))]

(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

Cyclone. Anti-cyclone

Cyclone. 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 information

Available online Journal of Scientific and Engineering Research, 2014, 1(1): Research Article

Available online  Journal of Scientific and Engineering Research, 2014, 1(1): Research Article Avalable ole wwwjsaercom Joural o Scec ad Egeerg Research, 0, ():0-9 Research Arcle ISSN: 39-630 CODEN(USA): JSERBR NEW INFORMATION INEUALITIES ON DIFFERENCE OF GENERALIZED DIVERGENCES AND ITS APPLICATION

More information

Domination in Controlled and Observed Distributed Parameter Systems

Domination in Controlled and Observed Distributed Parameter Systems Iellge Cool ad Auoao 3 4 7-6 h://dxdoorg/436/ca346 Publshed Ole May 3 (h://wwwscrorg/joural/ca) Doao Coolled ad Observed Dsbued Paraeer yses L Aff M Joud E M Magr A El Ja Deare of Maheacs ad Couer cece

More information

Stabilization of LTI Switched Systems with Input Time Delay. Engineering Letters, 14:2, EL_14_2_14 (Advance online publication: 16 May 2007) Lin Lin

Stabilization 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 information

Mixed Integral Equation of Contact Problem in Position and Time

Mixed Integral Equation of Contact Problem in Position and Time Ieraoal Joural of Basc & Appled Sceces IJBAS-IJENS Vol: No: 3 ed Iegral Equao of Coac Problem Poso ad me. A. Abdou S. J. oaquel Deparme of ahemacs Faculy of Educao Aleadra Uversy Egyp Deparme of ahemacs

More information

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall

8. 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 information

FALL HOMEWORK NO. 6 - SOLUTION Problem 1.: Use the Storage-Indication Method to route the Input hydrograph tabulated below.

FALL 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 information

Complementary Tree Paired Domination in Graphs

Complementary Tree Paired Domination in Graphs IOSR Joural of Mahemacs (IOSR-JM) e-issn: 2278-5728, p-issn: 239-765X Volume 2, Issue 6 Ver II (Nov - Dec206), PP 26-3 wwwosrjouralsorg Complemeary Tree Pared Domao Graphs A Meeaksh, J Baskar Babujee 2

More information

Fourth Order Runge-Kutta Method Based On Geometric Mean for Hybrid Fuzzy Initial Value Problems

Fourth Order Runge-Kutta Method Based On Geometric Mean for Hybrid Fuzzy Initial Value Problems IOSR Joural of Mahemacs (IOSR-JM) e-issn: 2278-5728, p-issn: 29-765X. Volume, Issue 2 Ver. II (Mar. - Apr. 27), PP 4-5 www.osrjourals.org Fourh Order Ruge-Kua Mehod Based O Geomerc Mea for Hybrd Fuzzy

More information

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations

Solution 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 information

General Complex Fuzzy Transformation Semigroups in Automata

General Complex Fuzzy Transformation Semigroups in Automata Joural of Advaces Compuer Research Quarerly pissn: 345-606x eissn: 345-6078 Sar Brach Islamc Azad Uversy Sar IRIra Vol 7 No May 06 Pages: 7-37 wwwacrausaracr Geeral Complex uzzy Trasformao Semgroups Auomaa

More information

The Bernstein Operational Matrix of Integration

The Bernstein Operational Matrix of Integration Appled Mahemacal Sceces, Vol. 3, 29, o. 49, 2427-2436 he Berse Operaoal Marx of Iegrao Am K. Sgh, Vee K. Sgh, Om P. Sgh Deparme of Appled Mahemacs Isue of echology, Baaras Hdu Uversy Varaas -225, Ida Asrac

More information

Chapter 8. Simple Linear Regression

Chapter 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 information

Moments of Order Statistics from Nonidentically Distributed Three Parameters Beta typei and Erlang Truncated Exponential Variables

Moments of Order Statistics from Nonidentically Distributed Three Parameters Beta typei and Erlang Truncated Exponential Variables Joural of Mahemacs ad Sascs 6 (4): 442-448, 200 SSN 549-3644 200 Scece Publcaos Momes of Order Sascs from Nodecally Dsrbued Three Parameers Bea ype ad Erlag Trucaed Expoeal Varables A.A. Jamoom ad Z.A.

More information

QR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA

QR 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 information

Integral Φ0-Stability of Impulsive Differential Equations

Integral Φ0-Stability of Impulsive Differential Equations Ope Joural of Appled Sceces, 5, 5, 65-66 Publsed Ole Ocober 5 ScRes p://wwwscrporg/joural/ojapps p://ddoorg/46/ojapps5564 Iegral Φ-Sably of Impulsve Dffereal Equaos Aju Sood, Sajay K Srvasava Appled Sceces

More information

CONTROLLABILITY OF A CLASS OF SINGULAR SYSTEMS

CONTROLLABILITY OF A CLASS OF SINGULAR SYSTEMS 44 Asa Joural o Corol Vol 8 No 4 pp 44-43 December 6 -re Paper- CONTROLLAILITY OF A CLASS OF SINGULAR SYSTEMS Guagmg Xe ad Log Wag ASTRACT I hs paper several dere coceps o corollably are vesgaed or a class

More information

International Journal Of Engineering And Computer Science ISSN: Volume 5 Issue 12 Dec. 2016, Page No.

International Journal Of Engineering And Computer Science ISSN: Volume 5 Issue 12 Dec. 2016, Page No. www.jecs. Ieraoal Joural Of Egeerg Ad Compuer Scece ISSN: 19-74 Volume 5 Issue 1 Dec. 16, Page No. 196-1974 Sofware Relably Model whe mulple errors occur a a me cludg a faul correco process K. Harshchadra

More information

Partial Molar Properties of solutions

Partial 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 information

Determination of Antoine Equation Parameters. December 4, 2012 PreFEED Corporation Yoshio Kumagae. Introduction

Determination 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 information

Optimality of Distributed Control for n n Hyperbolic Systems with an Infinite Number of Variables

Optimality of Distributed Control for n n Hyperbolic Systems with an Infinite Number of Variables Advaces Pure Mahemacs 3 3 598-68 hp://dxdoorg/436/apm33677 Pubshed Oe Sepember 3 (hp://wwwscrporg/joura/apm) Opmay of Dsrbued Coro for Hyperboc Sysems wh a Ife Number of Varabes Aham Hasa amo Deparme of

More information

The Signal, Variable System, and Transformation: A Personal Perspective

The Signal, Variable System, and Transformation: A Personal Perspective The Sgal Varable Syem ad Traformao: A Peroal Perpecve Sherv Erfa 35 Eex Hall Faculy of Egeerg Oule Of he Talk Iroduco Mahemacal Repreeao of yem Operaor Calculu Traformao Obervao O Laplace Traform SSB A

More information

Least squares and motion. Nuno Vasconcelos ECE Department, UCSD

Least 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 information

Orbital Euclidean stability of the solutions of impulsive equations on the impulsive moments

Orbital Euclidean stability of the solutions of impulsive equations on the impulsive moments Pure ad Appled Mahemacs Joural 25 4(: -8 Publshed ole Jauary 23 25 (hp://wwwscecepublshggroupcom/j/pamj do: 648/jpamj254 ISSN: 2326-979 (Pr ISSN: 2326-982 (Ole Orbal ucldea sably of he soluos of mpulsve

More information

Cyclically Interval Total Colorings of Cycles and Middle Graphs of Cycles

Cyclically Interval Total Colorings of Cycles and Middle Graphs of Cycles Ope Joural of Dsree Mahemas 2017 7 200-217 hp://wwwsrporg/joural/ojdm ISSN Ole: 2161-7643 ISSN Pr: 2161-7635 Cylally Ierval Toal Colorgs of Cyles Mddle Graphs of Cyles Yogqag Zhao 1 Shju Su 2 1 Shool of

More information

Inner-Outer Synchronization Analysis of Two Complex Networks with Delayed and Non-Delayed Coupling

Inner-Outer Synchronization Analysis of Two Complex Networks with Delayed and Non-Delayed Coupling ISS 746-7659, Eglad, UK Joural of Iformao ad Compug Scece Vol. 7, o., 0, pp. 0-08 Ier-Ouer Sycrozao Aalyss of wo Complex eworks w Delayed ad o-delayed Couplg Sog Zeg + Isue of Appled Maemacs, Zeag Uversy

More information

Analyticity of Semigroups Generated by Singular Differential Matrix Operators

Analyticity of Semigroups Generated by Singular Differential Matrix Operators pple Mahemacs,,, 83-87 o:.436/am..436 Publshe Ole Ocober (hp://www.scrp.org/joural/am) alycy of Semgroups Geerae by Sgular Dffereal Mar Operaors Oul hme Mahmou S hme, el Sa Deparme of Mahemacs, College

More information

An Exact Solution for the Differential Equation. Governing the Lateral Motion of Thin Plates. Subjected to Lateral and In-Plane Loadings

An Exact Solution for the Differential Equation. Governing the Lateral Motion of Thin Plates. Subjected to Lateral and In-Plane Loadings Appled Mahemacal Sceces, Vol., 8, o. 34, 665-678 A Eac Soluo for he Dffereal Equao Goverg he Laeral Moo of Th Plaes Subjeced o Laeral ad I-Plae Loadgs A. Karmpour ad D.D. Gaj Mazadara Uvers Deparme of

More information

New Guaranteed H Performance State Estimation for Delayed Neural Networks

New Guaranteed H Performance State Estimation for Delayed Neural Networks Ieraoal Joural of Iformao ad Elecrocs Egeerg Vol. o. 6 ovember ew Guaraeed H Performace ae Esmao for Delayed eural eworks Wo Il Lee ad PooGyeo Park Absrac I hs paper a ew guaraeed performace sae esmao

More information

Supplement Material for Inverse Probability Weighted Estimation of Local Average Treatment Effects: A Higher Order MSE Expansion

Supplement Material for Inverse Probability Weighted Estimation of Local Average Treatment Effects: A Higher Order MSE Expansion Suppleme Maeral for Iverse Probably Weged Esmao of Local Average Treame Effecs: A Hger Order MSE Expaso Sepe G. Doald Deparme of Ecoomcs Uversy of Texas a Aus Yu-C Hsu Isue of Ecoomcs Academa Sca Rober

More information

The Linear Regression Of Weighted Segments

The 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 information

GENERALIZED METHOD OF LIE-ALGEBRAIC DISCRETE APPROXIMATIONS FOR SOLVING CAUCHY PROBLEMS WITH EVOLUTION EQUATION

GENERALIZED METHOD OF LIE-ALGEBRAIC DISCRETE APPROXIMATIONS FOR SOLVING CAUCHY PROBLEMS WITH EVOLUTION EQUATION Joural of Appled Maemacs ad ompuaoal Mecacs 24 3(2 5-62 GENERALIZED METHOD OF LIE-ALGEBRAI DISRETE APPROXIMATIONS FOR SOLVING AUHY PROBLEMS WITH EVOLUTION EQUATION Arkad Kdybaluk Iva Frako Naoal Uversy

More information

Probability Bracket Notation and Probability Modeling. Xing M. Wang Sherman Visual Lab, Sunnyvale, CA 94087, USA. Abstract

Probability Bracket Notation and Probability Modeling. Xing M. Wang Sherman Visual Lab, Sunnyvale, CA 94087, USA. Abstract Probably Bracke Noao ad Probably Modelg Xg M. Wag Sherma Vsual Lab, Suyvale, CA 94087, USA Absrac Ispred by he Drac oao, a ew se of symbols, he Probably Bracke Noao (PBN) s proposed for probably modelg.

More information

Stability of Cohen-Grossberg Neural Networks with Impulsive and Mixed Time Delays

Stability of Cohen-Grossberg Neural Networks with Impulsive and Mixed Time Delays 94 IJCSNS Ieraoal Joural of Compuer Scece ad Newor Secury VOL.8 No.2 February 28 Sably of Cohe-Grossberg Neural Newors wh Impulsve ad Mxed Tme Delays Zheag Zhao Qau Sog Deparme of Mahemacs Huzhou Teachers

More information

Average Consensus in Networks of Multi-Agent with Multiple Time-Varying Delays

Average Consensus in Networks of Multi-Agent with Multiple Time-Varying Delays I. J. Commucaos ewor ad Sysem Sceces 3 96-3 do:.436/jcs..38 Publshed Ole February (hp://www.scrp.org/joural/jcs/). Average Cosesus ewors of Mul-Age wh Mulple me-varyg Delays echeg ZHAG Hu YU Isue of olear

More information

For the plane motion of a rigid body, an additional equation is needed to specify the state of rotation of the body.

For 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 information

STABILITY CRITERION FOR HYBRID SYSTEMS WITH DELAY. Laviniu Bejenaru

STABILITY CRITERION FOR HYBRID SYSTEMS WITH DELAY. Laviniu Bejenaru STABILITY CRITERION FOR HYBRID SYSTEMS WITH DELAY Lavu Bejearu PhD sude, Deparme of Auomac Corol, Uversy of Craova, Romaa Emal: lbejearu@ yahoo.com Tel: +4 745 549373 Absrac: Ths paper preses hybrd sysems

More information

On an algorithm of the dynamic reconstruction of inputs in systems with time-delay

On an algorithm of the dynamic reconstruction of inputs in systems with time-delay Ieraoal Joural of Advaces Appled Maemacs ad Mecacs Volume, Issue 2 : (23) pp. 53-64 Avalable ole a www.jaamm.com IJAAMM ISSN: 2347-2529 O a algorm of e dyamc recosruco of pus sysems w me-delay V. I. Maksmov

More information

Synchronization of Complex Network System with Time-Varying Delay Via Periodically Intermittent Control

Synchronization of Complex Network System with Time-Varying Delay Via Periodically Intermittent Control Sychrozao of Complex ework Sysem wh me-varyg Delay Va Perodcally Ierme Corol JIAG Ya Deparme of Elecrcal ad Iformao Egeerg Hua Elecrcal College of echology Xaga 4, Cha Absrac he sychrozao corol problem

More information

Other Topics in Kernel Method Statistical Inference with Reproducing Kernel Hilbert Space

Other Topics in Kernel Method Statistical Inference with Reproducing Kernel Hilbert Space Oher Topcs Kerel Mehod Sascal Iferece wh Reproducg Kerel Hlber Space Kej Fukumzu Isue of Sascal Mahemacs, ROIS Deparme of Sascal Scece, Graduae Uversy for Advaced Sudes Sepember 6, 008 / Sascal Learg Theory

More information

Random Generalized Bi-linear Mixed Variational-like Inequality for Random Fuzzy Mappings Hongxia Dai

Random Generalized Bi-linear Mixed Variational-like Inequality for Random Fuzzy Mappings Hongxia Dai Ro Geeralzed B-lear Mxed Varaoal-lke Iequaly for Ro Fuzzy Mappgs Hogxa Da Depare of Ecooc Maheacs Souhweser Uversy of Face Ecoocs Chegdu 674 P.R.Cha Absrac I h paper we roduce sudy a ew class of ro geeralzed

More information

Solving fuzzy linear programming problems with piecewise linear membership functions by the determination of a crisp maximizing decision

Solving fuzzy linear programming problems with piecewise linear membership functions by the determination of a crisp maximizing decision Frs Jo Cogress o Fuzzy ad Iellge Sysems Ferdows Uversy of Mashhad Ira 9-3 Aug 7 Iellge Sysems Scefc Socey of Ira Solvg fuzzy lear programmg problems wh pecewse lear membershp fucos by he deermao of a crsp

More information

-distributed random variables consisting of n samples each. Determine the asymptotic confidence intervals for

-distributed random variables consisting of n samples each. Determine the asymptotic confidence intervals for Assgme Sepha Brumme Ocober 8h, 003 9 h semeser, 70544 PREFACE I 004, I ed o sped wo semesers o a sudy abroad as a posgraduae exchage sude a he Uversy of Techology Sydey, Ausrala. Each opporuy o ehace my

More information

Continuous Time Markov Chains

Continuous 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 information

A Second Kind Chebyshev Polynomial Approach for the Wave Equation Subject to an Integral Conservation Condition

A 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 information

Regression Approach to Parameter Estimation of an Exponential Software Reliability Model

Regression Approach to Parameter Estimation of an Exponential Software Reliability Model Amerca Joural of Theorecal ad Appled Sascs 06; 5(3): 80-86 hp://www.scecepublshggroup.com/j/ajas do: 0.648/j.ajas.060503. ISSN: 36-8999 (Pr); ISSN: 36-9006 (Ole) Regresso Approach o Parameer Esmao of a

More information

Quantum Mechanics II Lecture 11 Time-dependent perturbation theory. Time-dependent perturbation theory (degenerate or non-degenerate starting state)

Quantum 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 information

On cartesian product of fuzzy primary -ideals in -LAsemigroups

On cartesian product of fuzzy primary -ideals in -LAsemigroups Joural Name Orgal Research aper O caresa produc o uzzy prmary -deals -Lsemgroups aroe Yarayog Deparme o Mahemacs, Faculy o cece ad Techology, bulsogram Rajabha Uvers, hsauloe 65000, Thalad rcle hsory Receved:

More information

Real-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF

Real-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 information

Optimal Control and Hamiltonian System

Optimal 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 information

Existence and Uniqueness Theorems for Generalized Set Differential Equations

Existence and Uniqueness Theorems for Generalized Set Differential Equations Ieraoal Joural of Corol Scece ad Egeerg, (): -6 DOI: 593/jCorol Exsece ad Uqueess Teorems for Geeralzed Se Dffereal Equaos Adrej Ploov,,*, Naala Srp Deparme of Opmal Corol & Ecoomc Cyberecs, Odessa Naoal

More information

Bianchi Type II Stiff Fluid Tilted Cosmological Model in General Relativity

Bianchi 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 information

As evident from the full-sample-model, we continue to assume that individual errors are identically and

As evident from the full-sample-model, we continue to assume that individual errors are identically and Maxmum Lkelhood smao Greee Ch.4; App. R scrp modsa, modsb If we feel safe makg assumpos o he sascal dsrbuo of he error erm, Maxmum Lkelhood smao (ML) s a aracve alerave o Leas Squares for lear regresso

More information

COMPARISON OF ESTIMATORS OF PARAMETERS FOR THE RAYLEIGH DISTRIBUTION

COMPARISON OF ESTIMATORS OF PARAMETERS FOR THE RAYLEIGH DISTRIBUTION COMPARISON OF ESTIMATORS OF PARAMETERS FOR THE RAYLEIGH DISTRIBUTION Eldesoky E. Affy. Faculy of Eg. Shbee El kom Meoufa Uv. Key word : Raylegh dsrbuo, leas squares mehod, relave leas squares, leas absolue

More information

The Properties of Probability of Normal Chain

The 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 information

IMPROVED PORTFOLIO OPTIMIZATION MODEL WITH TRANSACTION COST AND MINIMAL TRANSACTION LOTS

IMPROVED PORTFOLIO OPTIMIZATION MODEL WITH TRANSACTION COST AND MINIMAL TRANSACTION LOTS Vol.7 No.4 (200) p73-78 Joural of Maageme Scece & Sascal Decso IMPROVED PORTFOLIO OPTIMIZATION MODEL WITH TRANSACTION COST AND MINIMAL TRANSACTION LOTS TIANXIANG YAO AND ZAIWU GONG College of Ecoomcs &

More information

( 1)u + r2i. f (x2i+1 ) +

( 1)u + r2i. f (x2i+1 ) + Malaya Joural of Maemak, Vol. 6, No., 6-76, 08 hps://do.org/0.667/mjm060/00 Geeral soluo ad geeralzed Ulam - Hyers sably of r ype dmesoal quadrac-cubc fucoal equao radom ormed spaces: Drec ad fxed po mehods

More information

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 10, Number 2/2009, pp

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 10, Number 2/2009, pp THE PUBLIHING HOUE PROCEEDING OF THE ROMANIAN ACADEMY, eres A, OF THE ROMANIAN ACADEMY Volume 0, Number /009,. 000-000 ON ZALMAI EMIPARAMETRIC DUALITY MODEL FOR MULTIOBJECTIVE FRACTIONAL PROGRAMMING WITH

More information

RATIO ESTIMATORS USING CHARACTERISTICS OF POISSON DISTRIBUTION WITH APPLICATION TO EARTHQUAKE DATA

RATIO ESTIMATORS USING CHARACTERISTICS OF POISSON DISTRIBUTION WITH APPLICATION TO EARTHQUAKE DATA The 7 h Ieraoal as of Sascs ad Ecoomcs Prague Sepember 9-0 Absrac RATIO ESTIMATORS USING HARATERISTIS OF POISSON ISTRIBUTION WITH APPLIATION TO EARTHQUAKE ATA Gamze Özel Naural pulaos bolog geecs educao

More information

Voltage Sensitivity Analysis in MV Distribution Networks

Voltage Sensitivity Analysis in MV Distribution Networks Proceedgs of he 6h WSEAS/IASME I. Cof. o Elecrc Power Sysems, Hgh olages, Elecrc Maches, Teerfe, Spa, December 6-8, 2006 34 olage Sesvy Aalyss M Dsrbuo Neworks S. CONTI, A.M. GRECO, S. RAITI Dparmeo d

More information

Automatica. Stabilization of linear strict-feedback systems with delayed integrators

Automatica. Stabilization of linear strict-feedback systems with delayed integrators Auomaca 46 (1) 19 191 Coes lss avalable a SceceDrec Auomaca joural homepage: wwwelsevercom/locae/auomaca Bref paper Sablzao of lear src-feedback sysems wh delayed egraors Nkolaos Bekars-Lbers, Mroslav

More information

4. THE DENSITY MATRIX

4. THE DENSITY MATRIX 4. THE DENSTY MATRX The desy marx or desy operaor s a alerae represeao of he sae of a quaum sysem for whch we have prevously used he wavefuco. Alhough descrbg a quaum sysem wh he desy marx s equvale o

More information

Convexity Preserving C 2 Rational Quadratic Trigonometric Spline

Convexity Preserving C 2 Rational Quadratic Trigonometric Spline Ieraoal Joural of Scefc a Researc Publcaos, Volume 3, Issue 3, Marc 3 ISSN 5-353 Covexy Preservg C Raoal Quarac Trgoomerc Sple Mrula Dube, Pree Twar Deparme of Maemacs a Compuer Scece, R. D. Uversy, Jabalpur,

More information

Competitive Facility Location Problem with Demands Depending on the Facilities

Competitive Facility Location Problem with Demands Depending on the Facilities Aa Pacc Maageme Revew 4) 009) 5-5 Compeve Facl Locao Problem wh Demad Depedg o he Facle Shogo Shode a* Kuag-Yh Yeh b Hao-Chg Ha c a Facul of Bue Admrao Kobe Gau Uver Japa bc Urba Plag Deparme Naoal Cheg

More information

Unit 10. The Lie Algebra of Vector Fields

Unit 10. The Lie Algebra of Vector Fields U 10. The Le Algebra of Vecor Felds ================================================================================================================================================================ -----------------------------------

More information

A note on Turán number Tk ( 1, kn, )

A 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 information

Midterm Exam. Tuesday, September hour, 15 minutes

Midterm 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

On subsets of the hypercube with prescribed Hamming distances

On subsets of the hypercube with prescribed Hamming distances O subses of he hypercube wh prescrbed Hammg dsaces Hao Huag Oleksy Klurma Cosm Pohoaa Absrac A celebraed heorem of Klema exremal combaorcs saes ha a colleco of bary vecors {0, 1} wh dameer d has cardaly

More information

Delay-Dependent Robust Asymptotically Stable for Linear Time Variant Systems

Delay-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 information

Redundancy System Fault Sampling Under Imperfect Maintenance

Redundancy System Fault Sampling Under Imperfect Maintenance A publcao of CHEMICAL EGIEERIG TRASACTIOS VOL. 33, 03 Gues Edors: Erco Zo, Pero Barald Copyrgh 03, AIDIC Servz S.r.l., ISB 978-88-95608-4-; ISS 974-979 The Iala Assocao of Chemcal Egeerg Ole a: www.adc./ce

More information

JORIND 9(2) December, ISSN

JORIND 9(2) December, ISSN JORIND 9() December, 011. ISSN 1596 8308. www.rascampus.org., www.ajol.o/jourals/jord THE EXONENTIAL DISTRIBUTION AND THE ALICATION TO MARKOV MODELS Usma Yusu Abubakar Deparme o Mahemacs/Sascs Federal

More information

International Journal of Scientific & Engineering Research, Volume 3, Issue 10, October ISSN

International 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 information

ClassificationofNonOscillatorySolutionsofNonlinearNeutralDelayImpulsiveDifferentialEquations

ClassificationofNonOscillatorySolutionsofNonlinearNeutralDelayImpulsiveDifferentialEquations Global Joural of Scece Froer Research: F Maheacs ad Decso Sceces Volue 8 Issue Verso. Year 8 Type: Double Bld Peer Revewed Ieraoal Research Joural Publsher: Global Jourals Ole ISSN: 49-466 & Pr ISSN: 975-5896

More information

Solution. The straightforward approach is surprisingly difficult because one has to be careful about the limits.

Solution. 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 information

Stochastic Petri Nets with Low Variation Matrix Exponentially Distributed Firing Time

Stochastic Petri Nets with Low Variation Matrix Exponentially Distributed Firing Time Ieraoal Joural of Performably Egeerg Vol.7 No. 5 Sepember pp. 44-454. RAS Cosulas Pred Ida Sochasc Per Nes wh Low Varao arx Expoeally Dsrbued Frg Tme P. BUCHHOLZ A. HORVÁTH* ad. TELE 3 Iformak IV TU DormudD-44

More information

Probability Bracket Notation, Probability Vectors, Markov Chains and Stochastic Processes. Xing M. Wang Sherman Visual Lab, Sunnyvale, CA, USA

Probability Bracket Notation, Probability Vectors, Markov Chains and Stochastic Processes. Xing M. Wang Sherman Visual Lab, Sunnyvale, CA, USA Probably Bracke Noao, Probably Vecors, Markov Chas ad Sochasc Processes Xg M. Wag Sherma Vsual Lab, Suyvale, CA, USA Table of Coes Absrac page1 1. Iroduco page. PBN ad Tme-depede Dscree Radom Varable.1.

More information

Brownian Motion and Stochastic Calculus. Brownian Motion and Stochastic Calculus

Brownian Motion and Stochastic Calculus. Brownian Motion and Stochastic Calculus Browa Moo Sochasc Calculus Xogzh Che Uversy of Hawa a Maoa earme of Mahemacs Seember, 8 Absrac Ths oe s abou oob decomoso he bascs of Suare egrable margales Coes oob-meyer ecomoso Suare Iegrable Margales

More information

Comparison of the Bayesian and Maximum Likelihood Estimation for Weibull Distribution

Comparison of the Bayesian and Maximum Likelihood Estimation for Weibull Distribution Joural of Mahemacs ad Sascs 6 (2): 1-14, 21 ISSN 1549-3644 21 Scece Publcaos Comarso of he Bayesa ad Maxmum Lkelhood Esmao for Webull Dsrbuo Al Omar Mohammed Ahmed, Hadeel Salm Al-Kuub ad Noor Akma Ibrahm

More information

A Function Projective Synchronization Control for Complex Networks with Proportional Delays

A Function Projective Synchronization Control for Complex Networks with Proportional Delays Modelg, Smulao ad Opmzao echologes ad Applcaos MSOA 06 A Fuco Projecve Sychrozao Corol for Comple eworks wh Proporoal Delays Xulag Qu, Hoghua B,* ad Lca Chu Chegy Uversy College, Jme Uversy, Xame 60, Cha

More information

Neural Network Global Sliding Mode PID Control for Robot Manipulators

Neural Network Global Sliding Mode PID Control for Robot Manipulators Neural Newor Global Sldg Mode PID Corol for Robo Mapulaors. C. Kuo, Member, IAENG ad Y. J. Huag, Member, IAENG Absrac hs paper preses a eural ewor global PID-sldg mode corol mehod for he racg corol of

More information

SYRIAN SEISMIC CODE :

SYRIAN SEISMIC CODE : SYRIAN SEISMIC CODE 2004 : Two sac mehods have bee ssued Syra buldg code 2004 o calculae he laeral sesmc forces he buldg. The Frs Sac Mehod: I s he same mehod he prevous code (995) wh few modfcaos. I s

More information

Reliability Analysis of Sparsely Connected Consecutive-k Systems: GERT Approach

Reliability Analysis of Sparsely Connected Consecutive-k Systems: GERT Approach Relably Aalyss of Sparsely Coece Cosecuve- Sysems: GERT Approach Pooa Moha RMSI Pv. L Noa-2131 poalovely@yahoo.com Mau Agarwal Deparme of Operaoal Research Uversy of Delh Delh-117, Ia Agarwal_maulaa@yahoo.com

More information

Linear Regression Linear Regression with Shrinkage

Linear Regression Linear Regression with Shrinkage Lear Regresso Lear Regresso h Shrkage Iroduco Regresso meas predcg a couous (usuall scalar oupu from a vecor of couous pus (feaures x. Example: Predcg vehcle fuel effcec (mpg from 8 arbues: Lear Regresso

More information

Mathematical Formulation

Mathematical 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 information

Complete Identification of Isotropic Configurations of a Caster Wheeled Mobile Robot with Nonredundant/Redundant Actuation

Complete Identification of Isotropic Configurations of a Caster Wheeled Mobile Robot with Nonredundant/Redundant Actuation 486 Ieraoal Joural Sugbok of Corol Km Auomao ad Byugkwo ad Sysems Moo vol 4 o 4 pp 486-494 Augus 006 Complee Idefcao of Isoropc Cofguraos of a Caser Wheeled Moble Robo wh Noreduda/Reduda Acuao Sugbok Km

More information