Stability and Performance Analysis of Fractional Order Controller over Conventional Controller Design

Size: px
Start display at page:

Download "Stability and Performance Analysis of Fractional Order Controller over Conventional Controller Design"

Transcription

1 ISSN (r : ISSN (Ole) : Sably ad erformace Aaly of Fracoal Order Coroller oer Coeoal Coroller Deg aredra Kumar #,Sul Kumar Chaudhary #, Elecal Egeerg Deparme, SuRe Uery Alwar, Rajaha, Ida paredrar@gmal.com kumar_cul@yahoo.co. Abrac---I h paper, a ew comparae approach ha bee propoed for relable coroller deg. Sce ad egeer are ofe cofroed wh he aaly, deg, ad yhe of real-lfe problem. The fr ep uch ude he deelopme of a 'mahemacal model' whch ca be codered a a ubue for he real problem. The mahemacal model ued here a a pla. Fracoal egral ad derae hae foud wde applcao he corol of dyamcal yem whe he corolled yem ad he coroller are debed by a e of fracoal order dffereal equao. Here he ably of fracoal order yem checked a he dffere leel ad foud ha he ably rego large he complex plae. Th large ably rego prode he more flexbly for yem mplemeao he corol egeerg. Geerally, a aalycally or expermeally approache are ued for degg he coroller. If a fracoal order coroller deg approach ued for a ge pla he he corolled parameer ge he beer reul. Keyword---Fracoal Order Coroller, Fracoal Order Calculu, Sably, erformace Aaly, MATLAB, Fuco uder Cla, Zegler-Nchol Mehod I. INTRODUCTION The echque model order reduco ued all feld of Elecal, Chemcal, Aeropace, Mechacal ec. I he large proce corol yem ad mechacal produco houe, he model order reduco play a mpora role o ake he deco for he fal produc []-[3]. Geerally, he work wh large cale yem ery complex ad me-coumg [4]. To check he ably of he yem fr we make a mahemacal model of he pla. If he Orgal yem model doe o mach he dered performace of he mplemeg yem, he a coroller deged o fulfll he requreme of he dury. The deged coroller may be a full order or may be fracoal order. The mplemeao of he coroller deped o he pla. If a corol yem afe her ably codo by he Rouh-Hurwz ably era [5] he ay aalycal or expermeal approache are ued. O he oher had, f corol yem requre he ably rego beyod he Rouh-Hurwz era or requre more flexbly ha wha a approach ueful? So o fulfll he ably codo beyod he Rouh- Hurwz era a fracoal order approach [6] ad [7] ued here o deg he coroller. Here he comparae aaly prode he opo o op a coroller deg mehod for he ge pla. II. ID CONTROLLER TRANSFER FUNCTION The block dagram for a ID coroller how Fg. (). The ID coroller may be repreeed mahemacal form a, u( ( ) [ de k e( + e( d + T ] () T d d Fg.. ID coroller block dagram DOI:.87/je/7/93/79333 Vol 9 No 3 Ju-Jul 7 468

2 ISSN (r : ISSN (Ole) : Wh he ge block dagram u( deoe corol gal ad e( deoe he error gal of he yem. Here k repree he proporo ga adt, T d ued for he egral ad derae me coa repecely. The rafer fuco G c ( of he correpodg ID coroller ge a Gc ( k[ + + Td ] () T Equao () ca be rewre a k ( k + + k (3) G c 3 Here k ad k 3 ued for egral ga ad derae ga alue of he coroller repecely. The objece o dere a coroller uch ha he performace of he augmeed proce mache wh he dered performace of he model. I he compuaoal yem, he dered performace hould be afed by he cloed loop corol yem. To fulfll hee ere requreme a ID coroller dered form of full order ad fracoal order. III. A. The roduco o fracoal calculu. FRACTIONAL ORDER SYSTEM FUNDAMENTALS The erm fracoal-order calculu by o mea ew. I a geeralzao of ordary dffereao by o-eger derae. The heory of fracoal-order derae wa deeloped maly he 9h ceury [8- ]. I he deelopme of fracoal order calculu, here appeared dffere defo of fracoal-order dffereao ad egrao. To reduce o a geeral form fracoal calculu from egrao ad dffereao o he fracoal order fudameal operaor α D f (, where α ad are he lm ad R he drece of operao. The couou egrao dffereal operaor [] d > d αd f ( (4) < ( dτ ) α There are arou defo for fracoal egrao ad dffereao. Some of he defo pread ou drecly a of eger-order calculu. The deep-rooed depo clude he Cauchy egral formula, he Gruwald Leko (GL) defo ad Rema Loulle (RL) defo are ge [] a Defo : - Cauchy egral formula D γ Γ( γ ) f ( πj f ( τ ) γ + ( τ c dτ Where c he mooh cure ecrclg he gle alue fuco f ( Defo : - Gruwald Leko (GL) defo αd α h Lm f ( h h j j ( ) f ( jh) j Here [.] repree he eger par. Defo 3: - Rema-Loulle (RL) defo αd d f ( Γ( ) d f ( τ ) + ( τ ) α dτ (5) (6) (7) DOI:.87/je/7/93/79333 Vol 9 No 3 Ju-Jul 7 469

3 ISSN (r : ISSN (Ole) : The followg fuco ge below obaed by Laplace Traform of he GL ad RL fracoal dffereal-egral. The zero al codo ad order ge he followg reul ± D ± [ α f ( ; ] F( B. Fracoal order yem The fracoal-order yem he exeo form of he radoal eger order yem. Fracoal order yem gaed from he fracoal-order dffereal equao. A clac -erm lear fracoal order dffereal equao (FODE) aumed by α D y( α D y( + α D y( Le coderg he corol fuco o whch pu gal appled o FODE yem Eq. (9) a follow: α y( αd y( + α D y( u( D Afer Laplace raform of Eq. (), we ge α Y ( α Y ( + α Y ( U ( From Eq. (), we ca oba a fracoal-order rafer fuco a Y ( G( U ( α + α α () I broad, for a dyamc yem wh gle arable ad fracoal order rafer fuco of a yem ca be defed a γ b G( a γ + b + a bm a y m Here b (,... m), a (,... ) are coa ad γ (,... m), (,... ) are radom real or raoal umber ad whou lackg geeraly, ca be prebed aγ > γ >...γ m m ad m > m >... The commeurable fracoal order yem Eq. (3) ca alo be expreed commeurable form by he mul-alued rafer fuco b + b bm H (, ( > ). a + a a m Noe ha eery fracoal order yem may be repreeed he form of Eq. (4) ad doma of H( meag a Rema hee. IV. STABILITY OF FRACTIONAL ORDER SYSTEM Sably oe of he mo freque erm ued leraure whe we deal wh he dyamcal yem ad her behaor. I mahemacal ocabulary, ably heory addree he coergece clarfcao of dffereal or dfferece equao. A yem (LTI) ad o be able f he roo of characerc polyomal are had egae real par. I he cae of fracoal order yem (LTI), he ably o ame a of eger oe. Impora po ha, for a fracoal order yem, he roo may le o he rgh half of complex plae Fg. (). (8) (9) () () (3) (4) DOI:.87/je/7/93/79333 Vol 9 No 3 Ju-Jul 7 47

4 ISSN (r : ISSN (Ole) : Fg.. Sable ad uable rego of LTI fracoal order yem Theorem: - Accordg o Mago ably heorem he fracoal order rafer fuco π q able f ad oly f arg( σ ) q, whereσ, ( < q < ) wh σ C, If, a gle roo of D(, he yem cao be able. h roo of D ( σ ). N( G ( D( Aboe heorem ably rego how Fg. (), Idcae he whole plae where q. I how he Rouh-Hurwz ably ad q ed o he egae real ax for q. A we kow ha oly he pole play a mpora role he ably of a yem. So he ably aeme doe by deomaor oly ad umeraor doe o affec he ably of a FOTF. The ably of fracoal order yem ca be aalyzed aoher way alo. Le coderg here, he characerc equao of a geeral fracoal order yem a: α + α α α (5) For, we ca raform he Eq. (5) o he σ-plae. α o Here α σ k σ m ad m he lea commo mulple of ѵ. (6) For a ge α, f he abolue phae of all roo of raform Eq. (6) φ σ arg(σ ), we ca cloe he followg po for he ably of fracoal order yem. π π. The ably codo a < arg( σ ) <. m m π. The ocllao codo a arg( σ ). m If ay lear me ara (LTI) fracoal order yem afy he aboe wo po he he yem able oherwe uable. V. FRACTIONAL ORDER CONTROLLER DESIGN Maxmum of he work fracoal order corol yem are hypohecal aure. Coroller deg ad applcao ru-hrough ery mall. I h paper, he core objece o pread o he fracoal order corol (FOC) o exame he yem corol performace. The fracoal-order I λ D μ coroller wa propoed a a broad ew of he ID coroller wh egraor of real order λ ad dffereaor of real order μ. The DOI:.87/je/7/93/79333 Vol 9 No 3 Ju-Jul 7 47

5 ISSN (r : ISSN (Ole) : rafer fuco of uch kd he coroller Laplace doma ha form K I μ C( K + + K, ( λ, μ > ) λ D Here K he proporoal ga coa K I he egral ga coa ad K D he derae ga coa. If λad μ, we obaed a clacal ID coroller. If λ ad μ, we obaed a D μ ad I λ coroller repecely. Thee ere coroller are he cae of I λ D μ coroller, whch prode flexbly wh a opporuy o adju he dyamc propery of fracoal order corol yem. Two ep are ued here o deg uch coroller. Sep : - Deg of K Oerhoo perceage [r], elg me ecod [T] ad ac error perceage [E] belog o roporoal ga K. I geeral, K ca be obaed by K E Here roporoal ga K eleced for mmum ac error. Sep : - Deg of K D, μ, K I ad λ To deerme hee alue for Fracoal-Order coroller deg, he followg yhe cheme ued here. Le he coroller rafer fuco C(, la rafer fuco G( ad a uy feedback appled o he yem. hae marg of corolled yem [3 ad 4] Φ m arg[ C( jω g ) G( jω g )] + π (9) Here j ωg he ooer frequecy. hae marg a depede or coa phae. Th ca be accomplhed by coroller of he form k + C( k, k, k τ K pla () Here K pla he ga of pla ad τ he me coa for he pla. Now from he Eq. (9) ad Eq. () φ m arg [ C( jω ) G( jω )] kk pla arg + π (+ ) jω (+ ) arg [( jω) ] + π π π ( + ) g g + π Here for a ge pla, we fx he ga marg. u he ga alue Eq. () oe ca fd ou he alue of. he oher dered alue k ad k are obaed from Eq. (). Now ug hee coa Eq. (), we ca oba a fracoal I λ D μ coroller, whch a parcular cae of I λ D μ coroller ha he form ( ) k + k ; C( k K k k adk k D I If he alue of K ge he he full rafer fuco of fracoal order coroller C( K + K ( ) D + K I If do a comparo wh Eq. (7), we ca ay μ ( ) adλ. VI. CONTROLLER DESIGN USING ZIEGLER-NICHOLS SECOND METHOD I h mehod, we fr e T ad T d. By ue he proporoal corol aco eae K from o a cal alue K a whch he oupu exhb uaed ocllao he yem Fg (3). (7) (8) () () (3) DOI:.87/je/7/93/79333 Vol 9 No 3 Ju-Jul 7 47

6 ISSN (r : ISSN (Ole) : Fg. 3. Cloed loop yem for proporoal coroller Thu, he cal ga K c ad he correpodg perod are deermed by experme. Accordg o Zegler-Nchol mehod he alue of he parameer K, T adt d ca be obaed by he formula how Table. Type of coroller K p.5 K p TABLE I For Crcal Ga ad Crcal erod T T d I.45 K /. ID.6 K.5.5 The ID coroller ued by he ecod mehod of Zegler-Nchol rule ge [5]. Gc( K p ( + + Td (4) T.6K ( ( + ).75K (5) 4 Equao (5) how ha he ID coroller ha a pole a he org ad double zero a. VII. EXAMLES Coder he corol yem [6] ge below fgure, whch a ID coroller ued o corol he yem Fg. (4). Here he objece o aaly he ably of he yem ad deg he coroller by propoed approach. Fg. 4. ID corol ad wo degree of freedom corol A. Sably Check ad Coroller Deg by Zegler-Nchol Mehod The fr requreme o fd ou he arg po for coderg he K p oly. Here he cloed loop repoe K p ad double zero. Le ar he ug wh DOI:.87/je/7/93/79333 Vol 9 No 3 Ju-Jul 7 473

7 ISSN (r : ISSN (Ole) : Gcl ZN C( K R( ( + )( + 5) + K By he help of Rouh-Hurwz era, he alue of K for uaed ocllao K 3. So afer pug h alue characerc equao he alue of cal frequecy ω 5. Now wh he help of able oher alue are K T T π K 8 d Afer pug he alue GcZN ( K p ( + + Td we fd ou he coroller rafer T 6.33( +.435) fuco Gc ZN (, here he double zero ex o So here he al alue are obaed. A he requreme of dury, we ca e he alue of maxmum oerhoo programmg. Geerally, accordg o he beer eablhme of he yem, he oerhoo hould be bewee% o 4%. Ug he MATLAB program, we ary he ga 9 o 3.5 wh ep ze -. ad zero a 7 o.3 wh ep ze -.. Fe ug ge he followg reul Fg. (5) ad Fg. (6). Ga (K) ad Zero (a).4 Maxmum oerhoo (m).995 The fal cloe-loop rafer fuco of he yem Gcl ZN ( (7) (6) ole-zero Map.5 Imagary Ax Real Ax Fg. 5. ole locao o ole-zero Map DOI:.87/je/7/93/79333 Vol 9 No 3 Ju-Jul 7 474

8 ISSN (r : ISSN (Ole) : U-Sep Repoe..8 Oupu.6.4. K a Sec (ec) Fg. 6. U ep repoe of he cloed loop yem B. Sably Check ad Coroller Deg by Fracoal-Order Mehod Coder he rafer fuco model of pla ge example G la ( + )( + 5) (8) Here -5 o-doma pole ad doe o affec he pla ably o we ca elmae. Afer remog he doma pole he rafer fuco of he pla G. la ( + ) (9) We are ug here he echque propoed eco 4 for fraco order coroller deg. Accordg o h Sep : - To deg he K For mmum ac error he alue of proporoal ga K, from Eq. (9) Sep : - Deg of K D, μ, K I ad λ The alue of a me coa τ ad ga of la K la. repecely Eq. (9). If we fx o ga marg ϕm > 6 for he ge corol yem. The we fd ou he alue of.3 by Eq. (). The oher dered alue k 5 ad k obaed from Eq. (). Now pug hee alue Eq. (), we go C FO ( 5 + (3) Now addg he alue of K from ep o Eq. (3), we go fal rafer fuco of fracoal order coroller a C FO ( (3) The ope loop corol yem for coroller ad pla G ol ( (3) The cloe-loop rafer fuco of ge corol yem wh uy feedback obaed a C( Gla ( Gcl ( + C( Gla ( Or DOI:.87/je/7/93/79333 Vol 9 No 3 Ju-Jul 7 475

9 ISSN (r : ISSN (Ole) : G cl ( (33) The fuco able checked he deomaor of Gcl(, ad foud ha K, dcae he yem able. Here Fg. (7) Show ha yem corolled by fracoal order coroller ha more ably rego ad Fg. (8) Idcae ha he complee deged yem able. Fgure (9) repree he comparo bewee boh ype coroller deg..5 ole-zero Map Imagary Ax able rego uable rego Real Ax.4 Fg. 7. ole poo of a cloed loop yem u-ep repoe. Oupu me(ec) Fg. 8. Sep repoe of cloed loop yem.4. U-Sep Repoe Gcl(Zegler-Nchol Gcl(Fracoal-Order).8 Oupu.6.4. K a Sec (ec) Fg. 9. Smulaeouly u ep repoe of boh yem DOI:.87/je/7/93/79333 Vol 9 No 3 Ju-Jul 7 476

10 ISSN (r : ISSN (Ole) : TABLE II Comparo for erformace Specfcao of Deged Coroller Coroller deg Zegler-Nchol Mehod Fracoal-Order Mehod Model Full Model Full Model Specfcao G ( G ( Re me (ec) Selg me (ec) eak amplude Oerhoo (%) A me (ec).83.6 VIII. CONCLUSIONS O behalf of he reul how he able, ome mpora po may be debed for ug of he coroller. All bac dea of fracoal calculu, he ably of fracoal order yem ad MATLAB fuco are preeed here. The ma purpoe of he paper o draw aeo o fracoal order yem ably ad aaly oer a coeoal way. Here a eger order pla corolled by full order coroller ad fracoal order coroller. I coclude here ha he fracoal order yem ha a large rego for ably whch mproe he performace of he yem. Here all rae parameer of fracoal order coroller deg yem ha beer performace oer coeoal coroller deg excep oerhoo. Here he maxmum oerhoo 9. % comparo o 9.95%, bu o a problem becaue due o h, he repoe fa ad ll 4 % he oerhoo acceped he geeral yem deg. We belee ha he comparae approach ued h paper ueful for elecg he mehod of coroller deg. REFERENCES [] er-olof, G. Carl Fredrk, Maerfel ad. Molader, Corbuo o he model reduco problem, IEEE Traaco o Auomac Corol, Vol. AC-7, No., Aprl 98, pp [] B. Badyopadhyay, A. Rao ad H. Sgh, O ade approxmao for mularable yem, IEEE Tra. Crcu ad Syem, Vol. 36, No. 4, pp , 989. [3] Y. Smamah Trucao mehod of reduco, A able alerae eleoc leer d Jauary, 98, Vol. 7, No., pp [4] M. Jamhd, A oerew o he aggregao of large cale yem, 98, pp [5] Y. Shamah, Model reduco ug he Rouh ably ero ad he ade approxmao echque, I. J. Corol, Vol., No. 3, pp , 975. [6] Axell M., Be E. M., Fracoal calculu applcao corol yem, I roceedg of he IEEE 99 Naoal Aeropace ad Eleoc Coferece, New York, 99, pp [7] Dorcak L., Numercal model for mulao he fracoal-order corol yem, UEF SAV, The Academy of Scece Iue of Expermeal hyc, Koce, Sloak Republc, 994, pp [8] Oldham K. B. ad Spaer J., The Fracoal Calculu, New York, Academc re, 974 [9] odluby I., Fracoal Dffereal Equao, Sa Dego, Academc re, 999 [] Mller K. S., Ro B., A Iroduco o he Fracoal Calculu ad Fracoal Dffereal Equao, New York, Wley, 993 [] Samko S. G., Klba A. A. ad Marche O. I., Fracoal Iegral ad Derae ad Some of Ther Applcao, Mk: Nauka Techka, 987 [] Y. Q. Che, Io era ad Dgyu Xue, Fracoal Order Corol, A Tuoral, Amerca Corol coferece, Jue -, 9 [3] Bda., commade dffue due mache elec roduco, ESAIM proceedg, ol. 5, Frace, 998, pp [4] VINAGRE, B. M. odluby, I. Dorcak, L. Felu, V., O Fracoal ID Coroller: A Frequecy Doma Approach, roceedg of he IFAC Workhop o Dgal Corol ID, Terraa, Spa,, pp [5] C.C. Hag, K. J. Arom ad W. K. Ho, Refeme of he Zegler-Nchol ug formula, IEEE roceedg a Corol Theory ad Applcao, Vol. 38, No., pp. -8, 99. [6] K. Ogaa, Moder Corol Egeerg, 4h ed., Eglewood Clff, NJ: rece Hall,. AUTHOR ROFILE aredra Kumar workg a a Aa rofeor Elecal ad Compuer Egeerg Deparme a Wolaa Sodo Uery, Ehopa. Auhor purug HD Elecal Egeerg Deparme, SuRe Uery Alwar, Rajaha, Ida. H reearch area clude he feld of model order reduco, Fracoal order model ad coroller deg. He compleed M. Tech () from IIT ROORKEE Syem ad Corol ream uder Elecal egeerg Deparme ad o Graduae Dploma (8) Embedded Syem from DOI:.87/je/7/93/79333 Vol 9 No 3 Ju-Jul 7 477

11 ISSN (r : ISSN (Ole) : C-DAC Hyderabad. He receed B.Tech (7) degree from Uar radeh Techcal Uery Luckow he ream of Eleoc ad Commucao. He publhed more ha fe aoal ad eraoal paper he feld of model order reduco ad coroller deg Sul Kumar Chaudhary graduaed from Nagpur Uery 996 eleoc, compleed h M.E. ower Eleoc from Maharh Dayaad Uery, Haryaa he year 6 ad h.d. elecal egeerg, from JamaMlaIlama, New Delh he year 4. H employme experece clude Lgaya Iue of Maageme ad Techology (LIMAT) Fardabad, Haryaa, MaaRacha college of Egg (MRCE), Fardabad, Haryaa, IIMT college of Egeerg Greaer Noda, U. ad preely workg a rofeor Elecal Egg. Deparme SuRe Uery Alwar, Rajaha. He ha more ha paper Ieraoal Joural / Coferece of repue. H area of ere Applcao of of compug echque o ower Eleoc ad Corol Syem. DOI:.87/je/7/93/79333 Vol 9 No 3 Ju-Jul 7 478

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

Efficient Estimators for Population Variance using Auxiliary Information

Efficient Estimators for Population Variance using Auxiliary Information Global Joural of Mahemacal cece: Theor ad Praccal. IN 97-3 Volume 3, Number (), pp. 39-37 Ieraoal Reearch Publcao Houe hp://www.rphoue.com Effce Emaor for Populao Varace ug Aular Iformao ubhah Kumar Yadav

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

New approach for numerical solution of Fredholm integral equations system of the second kind by using an expansion method

New approach for numerical solution of Fredholm integral equations system of the second kind by using an expansion method Ieraoal Reearch Joural o Appled ad Bac Scece Avalable ole a wwwrabcom ISSN 5-88X / Vol : 8- Scece xplorer Publcao New approach or umercal oluo o Fredholm eral equao yem o he ecod d by u a expao mehod Nare

More information

Lecture 3 Topic 2: Distributions, hypothesis testing, and sample size determination

Lecture 3 Topic 2: Distributions, hypothesis testing, and sample size determination Lecure 3 Topc : Drbuo, hypohe eg, ad ample ze deermao The Sude - drbuo Coder a repeaed drawg of ample of ze from a ormal drbuo of mea. For each ample, compue,,, ad aoher ac,, where: The ac he devao of

More 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

Reliability Equivalence of a Parallel System with Non-Identical Components

Reliability Equivalence of a Parallel System with Non-Identical Components Ieraoa Mahemaca Forum 3 8 o. 34 693-7 Reaby Equvaece of a Parae Syem wh No-Ideca ompoe M. Moaer ad mmar M. Sarha Deparme of Sac & O.R. oege of Scece Kg Saud Uvery P.O.ox 455 Ryadh 45 Saud raba aarha@yahoo.com

More information

ELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University

ELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University ecre Noe Prepared b r G. ghda EE 64 ETUE NTE WEE r. r G. ghda ocorda Uer eceraled orol e - Whe corol heor appled o a e ha co of geographcall eparaed copoe or a e cog of a large ber of p-op ao ofe dered

More 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

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

Feedback Control Theory a Computer Systemʼs Perspective

Feedback Control Theory a Computer Systemʼs Perspective Feedback Corol Theory a Compuer Syemʼ Perpecve Corol Iroduco Wha feedback corol? Why do compuer yem eed feedback corol? Corol deg mehodology Syem modelg Performace pec/merc Coroller deg Summary Applyg

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

Some Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling

Some Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling Vplav Kumar gh Rajeh gh Deparme of ac Baara Hdu Uver Varaa-00 Ida Flore maradache Uver of ew Meco Gallup UA ome Improved Emaor for Populao Varace Ug Two Aular Varable Double amplg Publhed : Rajeh gh Flore

More information

National Conference on Recent Trends in Synthesis and Characterization of Futuristic Material in Science for the Development of Society

National Conference on Recent Trends in Synthesis and Characterization of Futuristic Material in Science for the Development of Society ABSTRACT Naoa Coferece o Rece Tred Syhe ad Characerzao of Fuurc Maera Scece for he Deveome of Socey (NCRDAMDS-208) I aocao wh Ieraoa Joura of Scefc Reearch Scece ad Techoogy Some New Iegra Reao of I- Fuco

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

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

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

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

A Method for Solving the Three-dimensional Wave Equation

A Method for Solving the Three-dimensional Wave Equation Ueral Joural of Compuaoal Mahemac 4: 8-8 DOI: 89/ucm4 hp://wwwhrpubor Mehod for Sol he hree-dmeoal Wae Equao S Yakmo omk Sae Uery omk 644 Rua Correpod uhor: yakmoa@malru Copyrh Horo Reearch Publh ll rh

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

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

CS344: Introduction to Artificial Intelligence

CS344: Introduction to Artificial Intelligence C344: Iroduco o Arfcal Iellgece Puhpa Bhaacharyya CE Dep. IIT Bombay Lecure 3 3 32 33: Forward ad bacward; Baum elch 9 h ad 2 March ad 2 d Aprl 203 Lecure 27 28 29 were o EM; dae 2 h March o 8 h March

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

Time and Frequency Domain Analysis of the Linear Fractional-order Systems

Time and Frequency Domain Analysis of the Linear Fractional-order Systems IJACSA Specal Iue o Seleced Paper fro Ieraoal Coferece & Worhop O Eergg Tred I Techology Te ad Frequecy Doa Aaly of he Lear Fracoal-order Sye Maha K.Bhole Irueao Dep. Bhara Vdyapeeh College of Egg. Nav

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

Analysis of a Stochastic Lotka-Volterra Competitive System with Distributed Delays

Analysis of a Stochastic Lotka-Volterra Competitive System with Distributed Delays Ieraoal Coferece o Appled Maheac Sulao ad Modellg (AMSM 6) Aaly of a Sochac Loa-Volerra Copeve Sye wh Drbued Delay Xagu Da ad Xaou L School of Maheacal Scece of Togre Uvery Togre 5543 PR Cha Correpodg

More information

Reliability Analysis. Basic Reliability Measures

Reliability Analysis. Basic Reliability Measures elably /6/ elably Aaly Perae faul Πelably decay Teporary faul ΠOfe Seady ae characerzao Deg faul Πelably growh durg eg & debuggg A pace hule Challeger Lauch, 986 Ocober 6, Bac elably Meaure elably:

More information

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as. Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o

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

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

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

Practice Final Exam (corrected formulas, 12/10 11AM)

Practice Final Exam (corrected formulas, 12/10 11AM) Ecoomc Meze. Ch Fall Socal Scece 78 Uvery of Wco-Mado Pracce Fal Eam (correced formula, / AM) Awer all queo he (hree) bluebook provded. Make cera you wre your ame, your ude I umber, ad your TA ame o all

More information

Calibration Approach Based Estimators of Finite Population Mean in Two - Stage Stratified Random Sampling

Calibration Approach Based Estimators of Finite Population Mean in Two - Stage Stratified Random Sampling I.J.Curr.crobol.App.Sc (08) 7(): 808-85 Ieraoal Joural of Curre crobolog ad Appled Scece ISS: 39-7706 olue 7 uber 0 (08) Joural hoepage: hp://www.jca.co Orgal Reearch Arcle hp://do.org/0.0546/jca.08.70.9

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

Deterioration-based Maintenance Management Algorithm

Deterioration-based Maintenance Management Algorithm Aca Polyechca Hugarca Vol. 4 No. 2007 Deerorao-baed Maeace Maageme Algorhm Koréla Ambru-Somogy Iue of Meda Techology Budape Tech Doberdó ú 6 H-034 Budape Hugary a_omogy.korela@rkk.bmf.hu Abrac: The Road

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

The MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p

The MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p Reearch Joural of Aled Scece Eeer ad Techoloy (6): 28-282 22 ISSN: 2-6 Maxwell Scefc Orazao 22 Submed: March 26 22 Acceed: Arl 22 Publhed: Auu 5 22 The MacWllam Idey of he Lear ode over he R F +uf +vf

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

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 31 Signal & Syem Prof. Mark Fowler Noe Se #27 C-T Syem: Laplace Tranform Power Tool for yem analyi Reading Aignmen: Secion 6.1 6.3 of Kamen and Heck 1/18 Coure Flow Diagram The arrow here how concepual

More information

ESTIMATION AND TESTING

ESTIMATION AND TESTING CHAPTER ESTIMATION AND TESTING. Iroduco Modfcao o he maxmum lkelhood (ML mehod of emao cera drbuo o overcome erave oluo of ML equao for he parameer were uggeed by may auhor (for example Tku (967; Mehrora

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

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

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo

More 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

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

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

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

Fault Tolerant Computing. Fault Tolerant Computing CS 530 Reliability Analysis

Fault Tolerant Computing. Fault Tolerant Computing CS 530 Reliability Analysis Probably /4/6 CS 5 elably Aaly Yahwa K. Malaya Colorado Sae very Ocober 4, 6 elably Aaly: Oule elably eaure: elably, avalably, Tra. elably, T M MTTF ad (, MTBF Bac Cae Sgle u wh perae falure, falure rae

More information

Modeling by Meshless Method LRPIM (local radial point interpolation method)

Modeling by Meshless Method LRPIM (local radial point interpolation method) ème ogrè Fraça de Mécaque Lyo, 4 au 8 Aoû 5 Modelg by Mehle Mehod LRPM (local radal po erpolao mehod) Abrac: A. Mouaou a,. Bouzae b a. Deparme of phyc, Faculy of cece, Moulay mal Uvery B.P. Meke, Morocco,

More information

Speech, NLP and the Web

Speech, NLP and the Web peech NL ad he Web uhpak Bhaacharyya CE Dep. IIT Bombay Lecure 38: Uuperved learg HMM CFG; Baum Welch lecure 37 wa o cogve NL by Abh Mhra Baum Welch uhpak Bhaacharyya roblem HMM arg emac ar of peech Taggg

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

t = s D Overview of Tests Two-Sample t-test: Independent Samples Independent Samples t-test Difference between Means in a Two-sample Experiment

t = s D Overview of Tests Two-Sample t-test: Independent Samples Independent Samples t-test Difference between Means in a Two-sample Experiment Overview of Te Two-Sample -Te: Idepede Sample Chaper 4 z-te Oe Sample -Te Relaed Sample -Te Idepede Sample -Te Compare oe ample o a populaio Compare wo ample Differece bewee Mea i a Two-ample Experime

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 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

TIME RESPONSE Introduction

TIME RESPONSE Introduction TIME RESPONSE Iroducio Time repoe of a corol yem i a udy o how he oupu variable chage whe a ypical e ipu igal i give o he yem. The commoly e ipu igal are hoe of ep fucio, impule fucio, ramp fucio ad iuoidal

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

RAMIFICATIONS of POSITION SERVO LOOP COMPENSATION

RAMIFICATIONS of POSITION SERVO LOOP COMPENSATION RAMIFICATIONS f POSITION SERO LOOP COMPENSATION Gerge W. Yunk, P.E. Lfe Fellw IEEE Indural Cnrl Cnulg, Inc. Fnd du Lac, Wcn Fr many year dural pg er dre dd n ue er cmpena he frward p lp. Th wa referred

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

Parameters Estimation in a General Failure Rate Semi-Markov Reliability Model

Parameters Estimation in a General Failure Rate Semi-Markov Reliability Model Joura of Saca Theory ad Appcao Vo. No. (Sepember ) - Parameer Emao a Geera Faure Rae Sem-Marov Reaby Mode M. Fahzadeh ad K. Khorhda Deparme of Sac Facuy of Mahemaca Scece Va-e-Ar Uvery of Rafaja Rafaja

More information

Numerical Solution for the Variable Order Fractional Partial Differential

Numerical Solution for the Variable Order Fractional Partial Differential Numercal Soluo for he Varable Order Fracoal Paral Dffereal Equao wh Berse polyomals 1 Jsheg Wag, Lqg Lu, 3 Lechu Lu, 4 Ymg Che 1, Frs Auhor Yasha Uversy, wsheg010@163.com *,Correspodg Auhor Yasha Uversy,

More information

Fault Diagnosis in Stationary Rotor Systems through Correlation Analysis and Artificial Neural Network

Fault Diagnosis in Stationary Rotor Systems through Correlation Analysis and Artificial Neural Network Faul Dago Saoary oor Syem hrough Correlao aly ad rfcal Neural Newor leadre Carlo duardo a ad obo Pederva b a Federal Uvery of Ma Gera (UFMG). Deparme of Mechacal geerg (DMC) aceduard@homal.com b Sae Uvery

More information

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3. C. Trael me cures for mulple reflecors The ray pahs ad rael mes for mulple layers ca be compued usg ray-racg, as demosraed Lab. MATLAB scrp reflec_layers_.m performs smple ray racg. (m) ref(ms) ref(ms)

More 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

Asymptotic Regional Boundary Observer in Distributed Parameter Systems via Sensors Structures

Asymptotic Regional Boundary Observer in Distributed Parameter Systems via Sensors Structures Sesors,, 37-5 sesors ISSN 44-8 by MDPI hp://www.mdp.e/sesors Asympoc Regoal Boudary Observer Dsrbued Parameer Sysems va Sesors Srucures Raheam Al-Saphory Sysems Theory Laboraory, Uversy of Perpga, 5, aveue

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

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

Topic 2: Distributions, hypothesis testing, and sample size determination

Topic 2: Distributions, hypothesis testing, and sample size determination Topc : Drbuo, hypohe eg, ad ample ze deermao. The Sude - drbuo [ST&D pp. 56, 77] Coder a repeaed drawg of ample of ze from a ormal drbuo. For each ample, compue,,, ad aoher ac,, where: ( ) The ac he devao

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

Odoardo Volonterio 1, Michele Nardelli 2

Odoardo Volonterio 1, Michele Nardelli 2 ON SOME APPLICATIONS OF THE VOLONTERIO S TRANSFORM: SERIES DEVELOPMENT OF TYPE N+M AND MATHEMATICAL CONNECTIONS WITH SOME SECTORS OF THE STRING THEORY Odoardo Voloero Mchele Nardell Polecco d Mlao Paa

More information

1. Linear second-order circuits

1. Linear second-order circuits ear eco-orer crcut Sere R crcut Dyamc crcut cotag two capactor or two uctor or oe uctor a oe capactor are calle the eco orer crcut At frt we coer a pecal cla of the eco-orer crcut, amely a ere coecto of

More information

An Efficient Dual to Ratio and Product Estimator of Population Variance in Sample Surveys

An Efficient Dual to Ratio and Product Estimator of Population Variance in Sample Surveys "cece as True Here" Joural of Mahemacs ad ascal cece, Volume 06, 78-88 cece gpos Publshg A Effce Dual o Rao ad Produc Esmaor of Populao Varace ample urves ubhash Kumar Yadav Deparme of Mahemacs ad ascs

More information

Ruled surfaces are one of the most important topics of differential geometry. The

Ruled surfaces are one of the most important topics of differential geometry. The CONSTANT ANGLE RULED SURFACES IN EUCLIDEAN SPACES Yuuf YAYLI Ere ZIPLAR Deparme of Mahemaic Faculy of Sciece Uieriy of Aara Tadoğa Aara Turey yayli@cieceaaraedur Deparme of Mahemaic Faculy of Sciece Uieriy

More information

Standby Redundancy Allocation for a Coherent System under Its Signature Point Process Representation

Standby Redundancy Allocation for a Coherent System under Its Signature Point Process Representation merca Joural of Operao Reearch, 26, 6, 489-5 hp://www.crp.org/joural/ajor ISSN Ole: 26-8849 ISSN Pr: 26-883 Sadby Redudacy llocao for a Cohere Syem uder I Sgaure Po Proce Repreeao Vaderle da Coa ueo Deparme

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

Pricing Asian Options with Fourier Convolution

Pricing Asian Options with Fourier Convolution Prcg Asa Opos wh Fourer Covoluo Cheg-Hsug Shu Deparme of Compuer Scece ad Iformao Egeerg Naoal Tawa Uversy Coes. Iroduco. Backgroud 3. The Fourer Covoluo Mehod 3. Seward ad Hodges facorzao 3. Re-ceerg

More information

6.302 Feedback Systems Recitation : Phase-locked Loops Prof. Joel L. Dawson

6.302 Feedback Systems Recitation : Phase-locked Loops Prof. Joel L. Dawson 6.32 Feedback Syem Phae-locked loop are a foundaional building block for analog circui deign, paricularly for communicaion circui. They provide a good example yem for hi cla becaue hey are an excellen

More information

A Remark on Generalized Free Subgroups. of Generalized HNN Groups

A Remark on Generalized Free Subgroups. of Generalized HNN Groups Ieraoal Mahemacal Forum 5 200 o 503-509 A Remar o Geeralzed Free Subroup o Geeralzed HNN Group R M S Mahmood Al Ho Uvery Abu Dhab POBo 526 UAE raheedmm@yahoocom Abrac A roup ermed eeralzed ree roup a ree

More information

Position Coordination of a Linear Teleoperation System with Constant Time Delay

Position Coordination of a Linear Teleoperation System with Constant Time Delay Poo Coordao of a Lear eleoperao Syem wh Coa me Delay Kamra Raz, S. MJ. Yazdapaah, Saeed Shry Ghdary Abrac A lear me vara coroller deg for a blaeral eleoperao of a par of N-DO lear roboc yem uder coa me

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

On Metric Dimension of Two Constructed Families from Antiprism Graph

On Metric Dimension of Two Constructed Families from Antiprism Graph Mah S Le 2, No, -7 203) Mahemaal Sees Leers A Ieraoal Joural @ 203 NSP Naural Sees Publhg Cor O Mer Dmeso of Two Cosrued Famles from Aprm Graph M Al,2, G Al,2 ad M T Rahm 2 Cere for Mahemaal Imagg Tehques

More information

Extremal graph theory II: K t and K t,t

Extremal graph theory II: K t and K t,t Exremal graph heory II: K ad K, Lecure Graph Theory 06 EPFL Frak de Zeeuw I his lecure, we geeralize he wo mai heorems from he las lecure, from riagles K 3 o complee graphs K, ad from squares K, o complee

More information

Fault Tolerant Computing. Fault Tolerant Computing CS 530 Probabilistic methods: overview

Fault Tolerant Computing. Fault Tolerant Computing CS 530 Probabilistic methods: overview Probably 1/19/ CS 53 Probablsc mehods: overvew Yashwa K. Malaya Colorado Sae Uversy 1 Probablsc Mehods: Overvew Cocree umbers presece of uceray Probably Dsjo eves Sascal depedece Radom varables ad dsrbuos

More information

A moment closure method for stochastic reaction networks

A moment closure method for stochastic reaction networks THE JOURNAL OF CHEMICAL PHYSICS 3, 347 29 A mome cloure mehod for ochac reaco ewor Chag Hyeog Lee,,a Kyeog-Hu Km, 2,b ad Plwo Km 3,c Deparme of Mahemacal Scece, Worceer Polyechc Iue, Iue Road, Worceer,

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

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

MODERN CONTROL SYSTEMS

MODERN CONTROL SYSTEMS MODERN CONTROL SYSTEMS Lecure 9, Sae Space Repreeaio Emam Fahy Deparme of Elecrical ad Corol Egieerig email: emfmz@aa.edu hp://www.aa.edu/cv.php?dip_ui=346&er=6855 Trafer Fucio Limiaio TF = O/P I/P ZIC

More information

Fresnel Equations cont.

Fresnel Equations cont. Lecure 12 Chaper 4 Fresel quaos co. Toal eral refleco ad evaesce waves Opcal properes of meals Laer: Famlar aspecs of he eraco of lgh ad maer Fresel quaos r 2 Usg Sell s law, we ca re-wre: r s s r a a

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

Control Systems. Mathematical Modeling of Control Systems.

Control Systems. Mathematical Modeling of Control Systems. Conrol Syem Mahemacal Modelng of Conrol Syem chbum@eoulech.ac.kr Oulne Mahemacal model and model ype. Tranfer funcon model Syem pole and zero Chbum Lee -Seoulech Conrol Syem Mahemacal Model Model are key

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

Second Quantization for Fermions

Second Quantization for Fermions 9 Chaper Secod Quazao for Fermo Maro Pr Iuo Superor de Ceca y Tecología Nucleare, Ave Salvador Allede y Luace, Qua de lo Molo, La Habaa 6, Cuba. The objec of quaum chemry co of eracg may parcle yem of

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

The textbook expresses the stock price as the present discounted value of the dividend paid and the price of the stock next period.

The textbook expresses the stock price as the present discounted value of the dividend paid and the price of the stock next period. ublc Affars 974 Meze D. Ch Fall Socal Sceces 748 Uversy of Wscos-Madso Sock rces, News ad he Effce Markes Hypohess (rev d //) The rese Value Model Approach o Asse rcg The exbook expresses he sock prce

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

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

Review - Week 10. There are two types of errors one can make when performing significance tests:

Review - Week 10. There are two types of errors one can make when performing significance tests: Review - Week Read: Chaper -3 Review: There are wo ype of error oe ca make whe performig igificace e: Type I error The ull hypohei i rue, bu we miakely rejec i (Fale poiive) Type II error The ull hypohei

More information

Nonlinear Sub-Optimal Control for Polynomial Systems Design and Stability

Nonlinear Sub-Optimal Control for Polynomial Systems Design and Stability Avea Publhg 6 Ieraoal Joural of Elecrcal ad Comuer Syem Volume Iue Year 0 Joural ISSN: 99-76 Arcle ID: 004 DOI: 059/ec0004 Nolear Sub-Omal Corol for Polyomal Syem Deg ad Sably Karm Khaya Radh Beabdelkader

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

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