Generalized Projective Synchronization Using Nonlinear Control Method
|
|
- Ariel Stephens
- 5 years ago
- Views:
Transcription
1 ISSN (prin), (online) Inernionl Journl of Nonliner Siene Vol.8(9) No.,pp Generlized Projeive Synhronizion Using Nonliner Conrol Mehod Xin Li Deprmen of Mhemis, Chngshu Insiue of Tehnology Chngshu 55, Jingsu, P.R.Chin (Reeived My 9, eped July 9) Asr:Bsed on symoli ompuion sysem M ple nd Lypunov siliy heory, he generlized projeive synhronizion prolem of drive-response sysems is invesiged. The generlized projeive synhronizion of wo idenil hoi sysems is hieved vi he nonliner onrol, nd he synhronizion of wo differen hoi sysems is lso hieved vi he orresponding nonliner onrol. To illusre our resuls, numeril simulions re used o perform he proess of he synhronizion. The oris of drive sysems nd oris of he response sysems re pu in he sme plo for undersnding inuiively. Keywords:generlized projeive synhronizion; Lypunov heory; hoi sysems Inroduion Sine Peor nd Crroll [] disovered he synhronizion of he hoi sysem, he synhronizion prolem in hoi sysems hs een inensively nd exensively sudied in reen dedes. I hs een exensively exploied in vrious res, suh s seure ommuniions, life siene, nd so on. Up o now, here exis mny ypes of hos synhronizion in dynmil sysems suh s omplee synhronizion, pril synhronizion, phse synhronizion, lg synhronizion, niiped synhronizion, generlized synhronizion, e[-8]. In priulr, mongs ll kinds of hos synhronizion, projeive synhronizion repored y Minieri nd Rehek [9] is one of he mos noiele ones h he drive nd response veors evolve in proporionl sle he veors eome proporionl. The erly projeive synhronizion is usully oservle only in lss of sysems wih pril-lineriy [], reenly some reserhers [-] hve hieved onrol of he projeive synhronizion in more generl lss of hoi sysems inluding non-prilly-liner sysems. In he re of generlized synhronizion, Yng nd Chu [5] relized generlized synhronizion sed on he liner rnsform mehod. Reenly, Meng nd Wng [] proposed new generlized synhronizion lgorihm sed on nonliner onrol, whih expnded he ppliion rnge of generlized synhronizion. In his pper, he generlized projeive synhronizion of wo idenil hoi sysems nd wo differen hoi sysems is onsidered respeively. Using he nonliner onrol heory, novel generlized projeive synhronizion lgorihm is proposed. Two idenil Rössler sysems re invesiged o hieve he generlized projeive synhronizion y he lgorihm presened y us. For illusre he effeiveness of he lgorihm o wo differen hoi sysem, he hu irle nd he disk dynmo model re hosen o mke hem reh he generlized projeive synhronizion. Numeril simulions re used o perform he proess of he synhronizion nd we suessfully pu he oris of drive sysems nd oris of he response sysems in he sme plo for undersnding inuiively. The res of his pper is orgnized s follows: Generlized projeive synhronizion sheme vi nonliner onrol is given in seion ; In seion 3, generlized projeive synhronizion of wo idenil E-mil ddress: lovelixin@3.om Copyrigh World Ademi Press, World Ademi Union IJNS.9.8.5/8
2 8 Inernionl Journl of Nonliner Siene,Vol.8(9),No.,pp Rössler sysems is relized vi nonliner onrol; In seion, generlized projeive synhronizion eween he hu irle nd he disk dynmo model is oined; Finlly, some summry nd onlusions re given in seion 5. Generlized projeive synhronizion sheme vi nonliner onrol Firsly, we quoe some noions whih re used hroughou his pper: For veor x, x = (x T x) /, where x T denoes he rnspose of he veor x. For mrix A, le A indie he norm of A indued y he Euliden veor norm, i.e., A = (λ mx (A T A)) /, where λ( ) represens he mximum eigenvlue of mrix. Consider he following drive hoi sysem: ẋ = f(x), (.) where x = (x, x,..., x n ) T R n is he se veor of drive sysem, f( ) is oninuous veor funion. The onrolled response sysem is given y he following equion: ẏ = Ay + Bg(y) + u, (.) where y = (y, y,..., y m ) T R m is he se veor of response sysem, A nd B re sysem mries wih proper dimensions, g( ) is oninuous veor funion, nd u is he onroller. Usully, funion g( ) is glolly Lipshiz oninuous. Definiion Define he synhronizion errors of sysems (.) nd (.) s if he errors sisfy he following propery, e() = x my, (.3) lim e = lim x my = where m is nonzero onsn, hen we sy h here exis e he generlized projeive synhronizion eween sysems (.) nd (.), nd ll m sling for. Lemm (Brl lemm [7]) If f() is uniformly oninuous, nd lim hen f() when. f(τ) dτ is ounded, Theorem For g(y) of he response hoi sysem (.) sisfy he Lipshiz oninuous ondiion, if he onroller u is designed s u = m [f(x) Ax + ɛ(x my) Bg(x)] + B[g(my) mg(y)], (.) m where ɛ = dig(ɛ, ɛ,..., ɛ m ), nd sisfies min(ɛ i ) > (L B + A ); (.5) hen he generlized projeive synhronizion of sysems (.) nd (.) will e oined. Proof. The synhronizion errors re defined s Eq.(.3) e() = x my, hen wih Eq.(.), he error dynmil sysem n e desried s ė = ẋ mẏ = Ae ɛe + B[g(x) g(my)]. (.) IJNS emil for onriuion: edior@nonlinersiene.org.uk
3 X. Li: Generlized Projeive Synhronizion Using Nonliner Conrol Mehod 8 Le Lypunov error funion V () = et e = e. (.7) i is esy o know h V () us non-negive funion. Evluing he ime derivive of V () long he rjeory of Eq.(.7) gives V () = e T Ae e T ɛe + e T B[g(x) g(my)] A e min(ɛ i ) e + e B g(x) g(my) A e min(ɛ i ) e +L B e = ( A +L B min(ɛ i )) e. (.8) I is ovious h V (). Therefore, V () is uniformly oninuous. Le K = min(ɛ i ) (L B + A ), hen V () K e, where K >. Thus, he following n e drwn: V () V ()e K. (.9) From Eq.(.9), we n know h lim V ()d is ounded. Moreover, V () is uniformly oninuous. Aording o he Brl lemm, we n ge lim V () =. Nmely, lim e() =. Therefore, he error sysem (.) is sympoilly sle. Nmely, he drive sysem (.) nd he response sysem (.) n sympoilly hieve he generlized projeive synhronizion. This omplees he proof of he heorem. Remrk 3 In pper [], he generlized synhronizion vi nonliner onrol is invesiged. Here we pply he nonliner onrol mehod o he generlized projeive synhronizion. To relized he generlized projeive synhronizion of hoi sysem, nonliner onrol lgorism sheme is proposed in his pper. For he hrer of generlized projeive synhronizion, we suessfully simule he oris of oh drive sysem nd response sysem in he sme plo o oserve inuiively. In he following, o demonsre he vlidiy of he proposed sheme, he sheme is used o hieve he synhronizion of wo idenil nd differen hoi sysems respeively. 3 Generlized projeive synhronizion of wo idenil Rössler sysems vi nonliner onrol Consider he Rössler sysem ẋ () = x () x 3 (), ẋ () = x () + αx (), ẋ 3 () = β + x 3 ()(x () γ), nd he onrolled response sysem is defined s following ẏ () = y () y 3 () + u (), ẏ () = y () + αy () + u (), ẏ 3 () = β + y 3 ()(y () γ) + u 3 (), (3.) (3.) where u = (u, u, u 3 ) T is he onroller, α = β =., nd γ = 5.7. Rewrie sysem (3.) in he form of Eq. (.), where A =., B =, g(y) =. 5.7 y y 3 +. We n esily ge h A = nd B =. Here we hoose L = nd sele ɛ s ɛ =. 8 IJNS homepge:hp://
4 8 Inernionl Journl of Nonliner Siene,Vol.8(9),No.,pp I is esy o verify h Eq.(.5) is sisfied. Th is o sy Eq.(.9) is sisfied for he error funion e(). Bsed on he Brl lemm, we n ge h he wo idenil Rössler sysems oin generlized projeive synhronizion. The onroller u n e go from Eq.(.). Here we le m = nd hoose he iniil vlues of he drive sysem nd he response sysem s (x (), x (), x 3 ()) = (.5,., 3.) nd (y (), y (), y 3 ()) = (.,.5,.), respeively. Fig. shows he numeril simulion of he error e of he wo idenil Rössler sysems. Oviously, e, e nd e 3 onverge o zero finlly fer he onroller is ived. Fig. revels he numeril glol synhronizion eween hem wih differen iniil vlues s menioned ove. Fig.3 gives ou he simulion ori of he vriles of he drive sysem, nd he simulion oris of he response sysem fer synhronizion. From he Fig.3, we n esily oserve he rio of he mpliudes of he wo sysems ends o onsn sling for m...8 e e e Fig. : () denoes he ori of error funion e ; () denoes he ori of error funion e ; () denoes he ori of error funion e 3. 5 x3(y3) x(y) 5 5 x(y) Fig. : he drk one denoes for he response sysem, nd he oher one denoes for he drive sysem. x(y) 8 8 x(y) x3(y3) Fig. 3: () he oris of x nd y : he rel line denoes x nd he roken line denoes y ; () he oris of x nd y : he rel line denoes x nd he roken line denoes y ; () he oris of x 3 nd y 3 : he rel line denoes x 3 nd he roken line denoes y 3. IJNS emil for onriuion: edior@nonlinersiene.org.uk
5 X. Li: Generlized Projeive Synhronizion Using Nonliner Conrol Mehod 83 x3... x x y3 y y Fig. : () he ror of he hu s irle; () he ror of disk dynmo model wihou he onroller. Generlized projeive synhronizion eween he hu irle nd he disk dynmo model In he following, we use nonliner onrol mehod o synhronize he hu s irle nd he disk dynmo model o he fixed sling for m. The drive sysem (hu s irle) is desried s follows: x = α(x x f(x )), x = x x + x 3, (.) x 3 = βx, where x +, if x, f(x ) = x +, if x, x, oherwise, And he response sysem (disk dynmo model) is inrodued s elow y = y + y y 3 + u, y = y + y (y 3 ) + u, y 3 = y y + u 3, The wo ove rors re shown in Fig.. Rewrie sysem (.) in he form of Eq. (.), where y y 3 A =, B =, g(y) = y y 3. y y We n esily ge h A =.3 nd B =. Here we hoose L = nd sele ɛ s 8 ɛ = 7. I is esy o verify h Eq.(.5) is sisfied. The onroller u n e go from Eq.(.). Se α =, β = 5.8, =.78, nd =.888. We le m = / nd hoose he iniil vlues of he drive sysem nd he response sysem s (x (), x (), x 3 ()) = (.,.5,.) nd (y (), y (), y 3 ()) = (.,.3,.5), respeively. Fig.5 revels he numeril glol synhronizion eween he wo differen hoi sysems wih differen iniil vlues s menioned ove. Fig. gives ou he simulion ori of he vriles of he drive sysem, nd he simulion oris of he response sysem fer synhronizion. From he Fig., we n lso esily oserve he rio of he mpliudes of he wo sysems ends o onsn sling for m = /. A he end, Fig.7 shows he numeril simulion of he error e of he wo differen hoi sysems-he hu s irle nd he disk dynmo model. Oviously, e, e nd e 3 onverge o zero finlly fer he onroller is ived. (.) IJNS homepge:hp://
6 8 Inernionl Journl of Nonliner Siene,Vol.8(9),No.,pp x3(y3) 5.5 x(y).5 x(y) Fig. 5: he drk one denoes for he response sysem, nd he oher one denoes for he drive sysem. y 3 x(y) x3(y3) 8 3 Fig. : () he oris of x nd y : he rel line denoes x nd he roken line denoes y ; () he oris of x nd y : he rel line denoes x nd he roken line denoes y ; () he oris of x 3 nd y 3 : he rel line denoes x 3 nd he roken line denoes y 3. 3 e 8 e 8 8 e3 8 8 Fig. 7: () denoes he ori of error funion e ; () denoes he ori of error funion e ; () denoes he ori of error funion e 3. 5 Summry nd onlusions Bsed on symoli ompuion sysem M ple nd Lypunov siliy heory, we propose sheme o relize he generlized projeive synhronizion vi nonliner onrol eween wo idenil hoi sysems nd wo differen hoi sysems, respeively. Numeril simulions re used o perform he proess of he synhronizion nd suessfully pu he oris of drive sysems nd oris of he response sysems in he sme plo for undersnding inuiively. Wih he id of symoli-numeri ompuion, he sheme n e used for oher hoi sysems nd hyperhoi sysems. Referenes [] L M Peor, T L Crroll: Synhronizion in Choi sysems. Phys. Rev. Le. :8-8(99) IJNS emil for onriuion: edior@nonlinersiene.org.uk
7 X. Li: Generlized Projeive Synhronizion Using Nonliner Conrol Mehod 85 [] S Bolei, L M Peor, A Pelez: Unifying frmework for synhronizion of oupled dynmil sysems. Phys. Rev. E. 3:9() [3] G Chen, X Dong: From Chos o Order. World Sienifi, Singpore. (998) [] X D Wng, L X Tin, L Q Yu: Liner feedk onrolling nd synhronizion of he Chens hoi sysem. Inernionl Journl of Nonliner Siene. :3-9() [5] X S Yng: A frmework for synhronizion heory. Chos, Solions nd Frls. :35-38() [] Z Y Yn: A new sheme o generlized (lg, niiped, nd omplee) synhronizion in hoi nd hyperhoi sysems. Chos. 5:3-3(5) [7] D C Lu, A C Wng, X D Tin: Conrol nd synhronizion of new hyperhoi sysem wih unknown prmeers. Inernionl Journl of Nonliner Siene. :-9(8) [8] L X Tin, G g Dong: Prediive onrol of sudden ourrene of hos. Inernionl Journl of Nonliner Siene. 5:99-5(8) [9] R Minieri, J Rehek: Projeive synhronizion in hree-dimensionl hoi sysems. Phys. Rev. Le. 8:3-35(999) [] D Xu, Z Li: Conrolled projeive synhronizion in nonprilly-liner hoi sysems. In J Bifur Chos. :395-() [] H Chen, M Sun: generlized projeive synhronizion of he energy resoure sysem. Inernionl Journl of Nonliner Siene. :-7() [] G H Li: Modified projeive synhronizion of hoi sysems. Chos, Soliions nd Frls. 3:78-79(7) [3] X Li, Y Chen, Z B Li: Funion projeive synhronizion of disree-ime hoi sysems. Z. Nurforsh. 3:7-(8) [] J Yn, C Li: Generlized projeive synhronizion of unified hoi sysem. Chos, Solions nd Frls. :9-(5) [5] T Yng, L O Chu: Generlized synhronizion of hos vi liner rnsformions. In. J. Bifurion Chos Appl. Si. Eng. 9:5-9(999) [] J Meng, X Y Wng: Generlized synhronizion vi nonliner onrol. Chos. 8:38(8) [7] K Goplsmy: Siliy nd Osillions in Dely Differneil Equions of Populion Dynmis. Kluwer Ademi, Dordreh, (99) IJNS homepge:hp://
The Forming Theory and Computer Simulation of the Rotary Cutting Tools with Helical Teeth and Complex Surfaces
Compuer nd Informion Siene The Forming Theory nd Compuer Simulion of he Rory Cuing Tools wih Helil Teeh nd Comple Surfes Hurn Liu Deprmen of Mehnil Engineering Zhejing Universiy of Siene nd Tehnology Hngzhou
More informationA LOG IS AN EXPONENT.
Ojeives: n nlze nd inerpre he ehvior of rihmi funions, inluding end ehvior nd smpoes. n solve rihmi equions nlill nd grphill. n grph rihmi funions. n deermine he domin nd rnge of rihmi funions. n deermine
More informationJournal of Computational and Applied Mathematics
Journl of Compuionl n Applie Mhemis 245 (23) 82 93 Conens liss ville SiVerse SieneDire Journl of Compuionl n Applie Mhemis journl homepge: www.elsevier.om/loe/m On exponenil men-squre siliy of wo-sep Mruym
More informationContraction Mapping Principle Approach to Differential Equations
epl Journl of Science echnology 0 (009) 49-53 Conrcion pping Principle pproch o Differenil Equions Bishnu P. Dhungn Deprmen of hemics, hendr Rn Cmpus ribhuvn Universiy, Khmu epl bsrc Using n eension of
More informationThree Dimensional Coordinate Geometry
HKCWCC dvned evel Pure Mhs. / -D Co-Geomer Three Dimensionl Coordine Geomer. Coordine of Poin in Spe Z XOX, YOY nd ZOZ re he oordine-es. P,, is poin on he oordine plne nd is lled ordered riple. P,, X Y
More informationPositive and negative solutions of a boundary value problem for a
Invenion Journl of Reerch Technology in Engineering & Mngemen (IJRTEM) ISSN: 2455-3689 www.ijrem.com Volume 2 Iue 9 ǁ Sepemer 28 ǁ PP 73-83 Poiive nd negive oluion of oundry vlue prolem for frcionl, -difference
More informationANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 2
ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER Seion Eerise -: Coninuiy of he uiliy funion Le λ ( ) be he monooni uiliy funion defined in he proof of eisene of uiliy funion If his funion is oninuous y hen
More informationNew Inequalities in Fractional Integrals
ISSN 1749-3889 (prin), 1749-3897 (online) Inernionl Journl of Nonliner Science Vol.9(21) No.4,pp.493-497 New Inequliies in Frcionl Inegrls Zoubir Dhmni Zoubir DAHMANI Lborory of Pure nd Applied Mhemics,
More informationFURTHER GENERALIZATIONS. QI Feng. The value of the integral of f(x) over [a; b] can be estimated in a variety ofways. b a. 2(M m)
Univ. Beogrd. Pul. Elekroehn. Fk. Ser. M. 8 (997), 79{83 FUTHE GENEALIZATIONS OF INEQUALITIES FO AN INTEGAL QI Feng Using he Tylor's formul we prove wo inegrl inequliies, h generlize K. S. K. Iyengr's
More informationProblem Set 9 Due December, 7
EE226: Random Proesses in Sysems Leurer: Jean C. Walrand Problem Se 9 Due Deember, 7 Fall 6 GSI: Assane Gueye his problem se essenially reviews Convergene and Renewal proesses. No all exerises are o be
More informationA new model for solving fuzzy linear fractional programming problem with ranking function
J. ppl. Res. Ind. Eng. Vol. 4 No. 07 89 96 Journl of pplied Reserch on Indusril Engineering www.journl-prie.com new model for solving fuzzy liner frcionl progrmming prolem wih rning funcion Spn Kumr Ds
More informationSynchronization of different 3D chaotic systems by generalized active control
ISSN 746-7659, Englnd, UK Journl of Informtion nd Computing Siene Vol. 7, No. 4, 0, pp. 7-8 Synhroniztion of different D hoti systems y generlized tive ontrol Mohmmd Ali Khn Deprtment of Mthemtis, Grhet
More informationThe solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6.
[~ o o :- o o ill] i 1. Mrices, Vecors, nd Guss-Jordn Eliminion 1 x y = = - z= The soluion is ofen represened s vecor: n his exmple, he process of eliminion works very smoohly. We cn elimine ll enries
More informationGeoTrig Notes Conventions and Notation: First Things First - Pythogoras and His Triangle. Conventions and Notation: GeoTrig Notes 04-14
Convenions nd Noion: GeoTrig Noes 04-14 Hello ll, his revision inludes some numeri exmples s well s more rigonomery heory. This se of noes is inended o ompny oher uorils in his series: Inroduion o EDA,
More informationAnalysis of Constant Deteriorating Inventory Management with Quadratic Demand Rate
Amerin Journl of Operionl Reserh, (): 98- DOI:.9/j.jor.. Anlysis of onsn Deerioring Invenory Mngemen wih Qudri Demnd Re Goind hndr Pnd,*, Syji Shoo, Prv Kumr Sukl Dep of Mhemis,Mhvir Insiue of Engineering
More informationExistence of positive solutions for fractional q-difference. equations involving integral boundary conditions with p- Laplacian operator
Invenion Journal of Researh Tehnology in Engineering & Managemen IJRTEM) ISSN: 455-689 www.ijrem.om Volume Issue 7 ǁ July 8 ǁ PP 5-5 Exisene of osiive soluions for fraional -differene euaions involving
More informationEXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE BOUNDARY-VALUE PROBLEM
Elecronic Journl of Differenil Equions, Vol. 208 (208), No. 50, pp. 6. ISSN: 072-669. URL: hp://ejde.mh.xse.edu or hp://ejde.mh.un.edu EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE
More informationHermite-Hadamard-Fejér type inequalities for convex functions via fractional integrals
Sud. Univ. Beş-Bolyi Mh. 6(5, No. 3, 355 366 Hermie-Hdmrd-Fejér ype inequliies for convex funcions vi frcionl inegrls İmd İşcn Asrc. In his pper, firsly we hve eslished Hermie Hdmrd-Fejér inequliy for
More informationENGR 1990 Engineering Mathematics The Integral of a Function as a Function
ENGR 1990 Engineering Mhemics The Inegrl of Funcion s Funcion Previously, we lerned how o esime he inegrl of funcion f( ) over some inervl y dding he res of finie se of rpezoids h represen he re under
More information1.0 Electrical Systems
. Elecricl Sysems The ypes of dynmicl sysems we will e sudying cn e modeled in erms of lgeric equions, differenil equions, or inegrl equions. We will egin y looking fmilir mhemicl models of idel resisors,
More informationNew Oscillation Criteria For Second Order Nonlinear Differential Equations
Researh Inveny: Inernaional Journal Of Engineering And Siene Issn: 78-47, Vol, Issue 4 (Feruary 03), Pp 36-4 WwwResearhinvenyCom New Osillaion Crieria For Seond Order Nonlinear Differenial Equaions Xhevair
More informationCylindrically Symmetric Marder Universe and Its Proper Teleparallel Homothetic Motions
J. Bsi. Appl. i. Res. 4-5 4 4 TeRod Publiion IN 9-44 Journl of Bsi nd Applied ienifi Reserh www.erod.om Clindrill mmeri Mrder Universe nd Is Proper Teleprllel Homohei Moions Amjd Ali * Anwr Ali uhil Khn
More informationA Closed Model of the Universe
Inernionl Journl of Asronomy nd Asrophysis 03 3 89-98 hp://dxdoiorg/036/ij0330 Published Online June 03 (hp://wwwsirporg/journl/ij) A Closed Model of he Universe Fdel A Bukhri Deprn of Asronomy Fuly of
More informationEOQ Inventory Models for Deteriorating Item with Weibull Deterioration and Time-Varying Quadratic Holding Cost
ISSN (e): 50 005 Volume, 06 Issue, 0 Jnury 06 Inernionl Journl of Compuionl Engineering Reserh (IJCER) EOQ Invenory Models for eerioring Iem wih Weiull eeriorion nd ime-vrying Qudri Holding Cos Nresh Kumr
More informationConvergence of Singular Integral Operators in Weighted Lebesgue Spaces
EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 10, No. 2, 2017, 335-347 ISSN 1307-5543 www.ejpm.com Published by New York Business Globl Convergence of Singulr Inegrl Operors in Weighed Lebesgue
More informationSeptember 20 Homework Solutions
College of Engineering nd Compuer Science Mechnicl Engineering Deprmen Mechnicl Engineering A Seminr in Engineering Anlysis Fll 7 Number 66 Insrucor: Lrry Creo Sepember Homework Soluions Find he specrum
More informationCSC 373: Algorithm Design and Analysis Lecture 9
CSC 373: Algorihm Deign n Anlyi Leure 9 Alln Boroin Jnury 28, 2013 1 / 16 Leure 9: Announemen n Ouline Announemen Prolem e 1 ue hi Friy. Term Te 1 will e hel nex Mony, Fe in he uoril. Two nnounemen o follow
More informationProper Projective Symmetry in some well known Conformally flat Space-Times
roper rojeie Smmer in some well nown onformll fl Spe-Times Ghulm Shir Ful of Engineering Sienes GIK Insiue of Engineering Sienes nd Tehnolog Topi Swi NWF isn Emil: shir@gii.edu.p sr sud of onformll fl
More informationApplication on Inner Product Space with. Fixed Point Theorem in Probabilistic
Journl of Applied Mhemics & Bioinformics, vol.2, no.2, 2012, 1-10 ISSN: 1792-6602 prin, 1792-6939 online Scienpress Ld, 2012 Applicion on Inner Produc Spce wih Fixed Poin Theorem in Probbilisic Rjesh Shrivsv
More informationMahgoub Transform Method for Solving Linear Fractional Differential Equations
Mahgoub Transform Mehod for Solving Linear Fraional Differenial Equaions A. Emimal Kanaga Puhpam 1,* and S. Karin Lydia 2 1* Assoiae Professor&Deparmen of Mahemais, Bishop Heber College Tiruhirappalli,
More informationTHE DESIGN OF ADAPTIVE CONTROLLER AND SYNCHRONIZER FOR QI-CHEN SYSTEM WITH UNKNOWN PARAMETERS
THE DESIGN OF ADAPTIVE CONTROLLER AND SYNCHRONIZER FOR QI-CHEN SYSTEM WITH UNKNOWN PARAMETERS Sundrpndin Vidynthn 1 1 Reserh nd Development Centre, Vel Teh Dr. RR & Dr. SR Tehnil University Avdi, Chenni-600
More information4.8 Improper Integrals
4.8 Improper Inegrls Well you ve mde i hrough ll he inegrion echniques. Congrs! Unforunely for us, we sill need o cover one more inegrl. They re clled Improper Inegrls. A his poin, we ve only del wih inegrls
More informationTHE EXTENDED TANH METHOD FOR SOLVING THE -DIMENSION NONLINEAR DISPERSIVE LONG WAVE EQUATION
Jornl of Mhemil Sienes: Adnes nd Appliions Volme Nmer 8 Pes 99- THE EXTENDED TANH METHOD FOR SOLVING THE ( ) -DIMENSION NONLINEAR DISPERSIVE LONG WAVE EQUATION SHENGQIANG TANG KELEI ZHANG nd JIHONG RONG
More informationA Structural Approach to the Enforcement of Language and Disjunctive Constraints
A Srucurl Aroch o he Enforcemen of Lnguge nd Disjuncive Consrins Mrin V. Iordche School of Engineering nd Eng. Tech. LeTourneu Universiy Longview, TX 7607-700 Pnos J. Ansklis Dermen of Elecricl Engineering
More informationGlobal alignment in linear space
Globl linmen in liner spe 1 2 Globl linmen in liner spe Gol: Find n opiml linmen of A[1..n] nd B[1..m] in liner spe, i.e. O(n) Exisin lorihm: Globl linmen wih bkrkin O(nm) ime nd spe, bu he opiml os n
More informationMinimum Squared Error
Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > for ll smples y i solve sysem of liner inequliies MSE procedure y i = i for ll smples
More information3D Transformations. Computer Graphics COMP 770 (236) Spring Instructor: Brandon Lloyd 1/26/07 1
D Trnsformions Compuer Grphics COMP 770 (6) Spring 007 Insrucor: Brndon Lloyd /6/07 Geomery Geomeric eniies, such s poins in spce, exis wihou numers. Coordines re nming scheme. The sme poin cn e descried
More informationMinimum Squared Error
Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > 0 for ll smples y i solve sysem of liner inequliies MSE procedure y i i for ll smples
More informationLecture 2: Network Flow. c 14
Comp 260: Avne Algorihms Tufs Universiy, Spring 2016 Prof. Lenore Cowen Srie: Alexner LeNil Leure 2: Nework Flow 1 Flow Neworks s 16 12 13 10 4 20 14 4 Imgine some nework of pipes whih rry wer, represene
More informationBoyce/DiPrima 9 th ed, Ch 6.1: Definition of. Laplace Transform. In this chapter we use the Laplace transform to convert a
Boye/DiPrima 9 h ed, Ch 6.: Definiion of Laplae Transform Elemenary Differenial Equaions and Boundary Value Problems, 9 h ediion, by William E. Boye and Rihard C. DiPrima, 2009 by John Wiley & Sons, In.
More informationSolutions for Nonlinear Partial Differential Equations By Tan-Cot Method
IOSR Journl of Mhemics (IOSR-JM) e-issn: 78-578. Volume 5, Issue 3 (Jn. - Feb. 13), PP 6-11 Soluions for Nonliner Pril Differenil Equions By Tn-Co Mehod Mhmood Jwd Abdul Rsool Abu Al-Sheer Al -Rfidin Universiy
More informationtwo values, false and true used in mathematical logic, and to two voltage levels, LOW and HIGH used in switching circuits.
Digil Logi/Design. L. 3 Mrh 2, 26 3 Logi Ges nd Boolen Alger 3. CMOS Tehnology Digil devises re predominnly mnufured in he Complemenry-Mel-Oide-Semionduor (CMOS) ehnology. Two ypes of swihes, s disussed
More informationAmit Mehra. Indian School of Business, Hyderabad, INDIA Vijay Mookerjee
RESEARCH ARTICLE HUMAN CAPITAL DEVELOPMENT FOR PROGRAMMERS USING OPEN SOURCE SOFTWARE Ami Mehra Indian Shool of Business, Hyderabad, INDIA {Ami_Mehra@isb.edu} Vijay Mookerjee Shool of Managemen, Uniersiy
More informationLinear Quadratic Regulator (LQR) - State Feedback Design
Linear Quadrai Regulaor (LQR) - Sae Feedbak Design A sysem is expressed in sae variable form as x = Ax + Bu n m wih x( ) R, u( ) R and he iniial ondiion x() = x A he sabilizaion problem using sae variable
More informationUsing hypothesis one, energy of gravitational waves is directly proportional to its frequency,
ushl nd Grviy Prshn Shool of Siene nd ngineering, Universiy of Glsgow, Glsgow-G18QQ, Unied ingdo. * orresponding uhor: : Prshn. Shool of Siene nd ngineering, Universiy of Glsgow, Glsgow-G18QQ, Unied ingdo,
More information5.1-The Initial-Value Problems For Ordinary Differential Equations
5.-The Iniil-Vlue Problems For Ordinry Differenil Equions Consider solving iniil-vlue problems for ordinry differenil equions: (*) y f, y, b, y. If we know he generl soluion y of he ordinry differenil
More informationReleased Assessment Questions, 2017 QUESTIONS
Relese Assessmen Quesions, 17 QUESTIONS Gre 9 Assessmen of Mhemis Aemi Re he insruions elow. Along wih his ookle, mke sure ou hve he Answer Bookle n he Formul Shee. You m use n spe in his ook for rough
More informationA Study on the Properties of Rational Triangles
Interntionl Journl of Mthemtis Reserh. ISSN 0976-5840 Volume 6, Numer (04), pp. 8-9 Interntionl Reserh Pulition House http://www.irphouse.om Study on the Properties of Rtionl Tringles M. Q. lm, M.R. Hssn
More informationWEIBULL DETERIORATING ITEMS OF PRICE DEPENDENT DEMAND OF QUADRATIC HOLDING FOR INVENTORY MODEL
WEIBULL DEERIORAING IEM OF PRIE DEPENDEN DEMAND OF QUADRAI OLDING FOR INVENORY MODEL. Mohn Prhu Reserh nd Develomen enre, Bhrhir Universiy, oimore-6 6. Leurer, Muhymml ollege of Ars nd iene, Rsiurm, Nmkkl-67
More informationGreen s Functions and Comparison Theorems for Differential Equations on Measure Chains
Green s Funcions nd Comprison Theorems for Differenil Equions on Mesure Chins Lynn Erbe nd Alln Peerson Deprmen of Mhemics nd Sisics, Universiy of Nebrsk-Lincoln Lincoln,NE 68588-0323 lerbe@@mh.unl.edu
More informationSecond-Order Boundary Value Problems of Singular Type
JOURNAL OF MATEMATICAL ANALYSIS AND APPLICATIONS 226, 4443 998 ARTICLE NO. AY98688 Seond-Order Boundary Value Probles of Singular Type Ravi P. Agarwal Deparen of Maheais, Naional Uniersiy of Singapore,
More informationdefines eigenvectors and associated eigenvalues whenever there are nonzero solutions ( 0
Chper 7. Inroduion In his hper we ll explore eigeneors nd eigenlues from geomeri perspeies, lern how o use MATLAB o lgerilly idenify hem, nd ulimely see how hese noions re fmously pplied o he digonlizion
More informationLAPLACE TRANSFORMS. 1. Basic transforms
LAPLACE TRANSFORMS. Bic rnform In hi coure, Lplce Trnform will be inroduced nd heir properie exmined; ble of common rnform will be buil up; nd rnform will be ued o olve ome dierenil equion by rnforming
More informationIntegral Transform. Definitions. Function Space. Linear Mapping. Integral Transform
Inegrl Trnsform Definiions Funcion Spce funcion spce A funcion spce is liner spce of funcions defined on he sme domins & rnges. Liner Mpping liner mpping Le VF, WF e liner spces over he field F. A mpping
More informationGlobal analysis of a delay virus dynamics model with Beddington-DeAngelis incidence rate and CTL immune response
Glol nlsis of del irus dnmis model wih Beddingon-DeAngelis inidene re nd CTL immune response Lish Ling Shool of Mhemis nd Phsis Uniersi of Siene nd Tehnolog Beijing Beijing Chin 369558953@63om Yongmei
More information1. Find a basis for the row space of each of the following matrices. Your basis should consist of rows of the original matrix.
Mh 7 Exm - Prcice Prolem Solions. Find sis for he row spce of ech of he following mrices. Yor sis shold consis of rows of he originl mrix. 4 () 7 7 8 () Since we wn sis for he row spce consising of rows
More informationA New Formulation of Electrodynamics
. Eleromagnei Analysis & Appliaions 1 457-461 doi:1.436/jemaa.1.86 Published Online Augus 1 hp://www.sirp.org/journal/jemaa A New Formulaion of Elerodynamis Arbab I. Arbab 1 Faisal A. Yassein 1 Deparmen
More informationProperties of Logarithms. Solving Exponential and Logarithmic Equations. Properties of Logarithms. Properties of Logarithms. ( x)
Properies of Logrihms Solving Eponenil nd Logrihmic Equions Properies of Logrihms Produc Rule ( ) log mn = log m + log n ( ) log = log + log Properies of Logrihms Quoien Rule log m = logm logn n log7 =
More informationHyers-Ulam stability of Pielou logistic difference equation
vilble online t wwwisr-publitionsom/jns J Nonliner Si ppl, 0 (207, 35 322 Reserh rtile Journl Homepge: wwwtjnsom - wwwisr-publitionsom/jns Hyers-Ulm stbility of Pielou logisti differene eqution Soon-Mo
More informationThe Dirac equation in D-dimensional spherically symmetric spacetimes
The Dir equion in D-dimensionl spherilly symmeri speimes A López-Oreg Cenro de Invesigión en Cieni Aplid y Tenologí Avnzd Unidd Legri Insiuo Poliénio Nionl Clzd Legri # 694 Coloni Irrigión Delegión Miguel
More informationProduction Inventory Model with Weibull Deterioration Rate, Time Dependent Quadratic Demand and Variable Holding Cost
roduion nvenory Model wih Weiull Deeriorion Re Time Dependen Qudri Demnd nd Vrile Holding Cos BN: 978--9495-5- R Venkeswrlu GTAM Universiy rngvjhlv@yhoooin M Reddy BVR Engineering College nveensrinu@gmilom
More informationMechanics of Materials and Structures
Journl of Mehnis of Merils nd Sruures A HIGH-ORDER THEORY FOR CYLINDRICAL SANDWICH SHELLS WITH FLEXIBLE CORES Renfu Li nd George Krdomes Volume 4 Nº 7-8 Sepember 29 mhemil sienes publishers JOURNAL OF
More informationProcedia Computer Science
Procedi Compuer Science 00 (0) 000 000 Procedi Compuer Science www.elsevier.com/loce/procedi The Third Informion Sysems Inernionl Conference The Exisence of Polynomil Soluion of he Nonliner Dynmicl Sysems
More informationChapter Direct Method of Interpolation
Chper 5. Direc Mehod of Inerpolion Afer reding his chper, you should be ble o:. pply he direc mehod of inerpolion,. sole problems using he direc mehod of inerpolion, nd. use he direc mehod inerpolns o
More informationANALYSIS AND MODELLING OF RAINFALL EVENTS
Proeedings of the 14 th Interntionl Conferene on Environmentl Siene nd Tehnology Athens, Greee, 3-5 Septemer 215 ANALYSIS AND MODELLING OF RAINFALL EVENTS IOANNIDIS K., KARAGRIGORIOU A. nd LEKKAS D.F.
More informationChapter Introduction. 2. Linear Combinations [4.1]
Chper 4 Inrouion Thi hper i ou generlizing he onep you lerne in hper o pe oher n hn R Mny opi in hi hper re heoreil n MATLAB will no e le o help you ou You will ee where MATLAB i ueful in hper 4 n how
More informatione t dt e t dt = lim e t dt T (1 e T ) = 1
Improper Inegrls There re wo ypes of improper inegrls - hose wih infinie limis of inegrion, nd hose wih inegrnds h pproch some poin wihin he limis of inegrion. Firs we will consider inegrls wih infinie
More informationT b a(f) [f ] +. P b a(f) = Conclude that if f is in AC then it is the difference of two monotone absolutely continuous functions.
Rel Vribles, Fll 2014 Problem set 5 Solution suggestions Exerise 1. Let f be bsolutely ontinuous on [, b] Show tht nd T b (f) P b (f) f (x) dx [f ] +. Conlude tht if f is in AC then it is the differene
More informationA Time Truncated Improved Group Sampling Plans for Rayleigh and Log - Logistic Distributions
ISSNOnline : 39-8753 ISSN Prin : 347-67 An ISO 397: 7 Cerified Orgnizion Vol. 5, Issue 5, My 6 A Time Trunced Improved Group Smpling Plns for Ryleigh nd og - ogisic Disribuions P.Kvipriy, A.R. Sudmni Rmswmy
More informationSolutions to assignment 3
D Sruure n Algorihm FR 6. Informik Sner, Telikeplli WS 03/04 hp://www.mpi-.mpg.e/~ner/oure/lg03/inex.hml Soluion o ignmen 3 Exerie Arirge i he ue of irepnie in urreny exhnge re o rnform one uni of urreny
More informationMatrices SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics (c) 1. Definition of a Matrix
tries Definition of tri mtri is regulr rry of numers enlosed inside rkets SCHOOL OF ENGINEERING & UIL ENVIRONEN Emple he following re ll mtries: ), ) 9, themtis ), d) tries Definition of tri Size of tri
More informationIX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704
Chper IX The Inegrl Trnform Mehod IX. The plce Trnform November 4, 7 699 IX. THE APACE TRANSFORM IX.. The plce Trnform Definiion 7 IX.. Properie 7 IX..3 Emple 7 IX..4 Soluion of IVP for ODE 74 IX..5 Soluion
More informationAn Inventory Model for Weibull Time-Dependence. Demand Rate with Completely Backlogged. Shortages
Inernaional Mahemaial Forum, 5, 00, no. 5, 675-687 An Invenory Model for Weibull Time-Dependene Demand Rae wih Compleely Baklogged Shorages C. K. Tripahy and U. Mishra Deparmen of Saisis, Sambalpur Universiy
More informationON DIFFERENTIATION OF A LEBESGUE INTEGRAL WITH RESPECT TO A PARAMETER
Mh. Appl. 1 (2012, 91 116 ON DIFFERENTIATION OF A LEBESGUE INTEGRAL WITH RESPECT TO A PARAMETER JIŘÍ ŠREMR Abr. The im of hi pper i o diu he bolue oninuiy of erin ompoie funion nd differeniion of Lebegue
More informationFM Applications of Integration 1.Centroid of Area
FM Applicions of Inegrion.Cenroid of Are The cenroid of ody is is geomeric cenre. For n ojec mde of uniform meril, he cenroid coincides wih he poin which he ody cn e suppored in perfecly lnced se ie, is
More informationMagamp application and limitation for multiwinding flyback converter
Mgmp ppliion nd limiion for muliwinding flyk onverer C.-C. Wen nd C.-L. Chen Asr: A new mgmp ehnique for muliwinding flyk onverers is proposed. Idel opering priniple nd nlysis re presened. he pril irui
More informationMore Properties of the Riemann Integral
More Properties of the Riemnn Integrl Jmes K. Peterson Deprtment of Biologil Sienes nd Deprtment of Mthemtil Sienes Clemson University Februry 15, 2018 Outline More Riemnn Integrl Properties The Fundmentl
More information1 PYTHAGORAS THEOREM 1. Given a right angled triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides.
1 PYTHAGORAS THEOREM 1 1 Pythgors Theorem In this setion we will present geometri proof of the fmous theorem of Pythgors. Given right ngled tringle, the squre of the hypotenuse is equl to the sum of the
More informationAnatoly A. Kilbas. tn 1. t 1 a. dt 2. a t. log x
J. Koren Mh. So. 38 200) No. 6. 9 204 HADAMARD-TYPE FRACTIONAL CALCULUS Anoly A. Kilbs Absr. The er is devoed o he sudy of frionl inegrion nd differeniion on finie inervl [ b] of he rel xis in he frme
More informationSome Inequalities variations on a common theme Lecture I, UL 2007
Some Inequliies vriions on common heme Lecure I, UL 2007 Finbrr Hollnd, Deprmen of Mhemics, Universiy College Cork, fhollnd@uccie; July 2, 2007 Three Problems Problem Assume i, b i, c i, i =, 2, 3 re rel
More informationInternational ejournals
Avilble online ww.inernionlejournl.om Inernionl ejournl Inernionl Journl of Mhemil Siene, Tehnology nd Humniie 7 (0 8-8 The Mellin Type Inegrl Trnform (MTIT in he rnge (, Rmhndr M. Pie Deprmen of Mhemi,
More informationPrivacy Risk In Graph Stream Publishing For Social Network Data
Privy Risk In Grph Srem Pulishing For Soil Nework D Nigel edforh Shool of Compuing Siene Simon Frser Universiy Burny, BC, Cnd nmedfor@s.sfu. Ke Wng Shool of Compuing Siene Simon Frser Universiy Burny,
More informationON A METHOD FOR FINDING THE NUMERICAL SOLUTION OF CAUCHY PROBLEM FOR 2D BURGERS EQUATION
Europen Sienifi Journl Augus 05 /SPECIAL/ eiion ISSN: 857 788 Prin e - ISSN 857-743 ON A MEHOD FOR FINDING HE NUMERICAL SOLUION OF CAUCHY PROBLEM FOR D BURGERS EQUAION Mir Rsulo Prof. Been Uniersi Deprmen
More informationLecture Notes No. 10
2.6 System Identifition, Estimtion, nd Lerning Leture otes o. Mrh 3, 26 6 Model Struture of Liner ime Invrint Systems 6. Model Struture In representing dynmil system, the first step is to find n pproprite
More informationGraduate Algorithms CS F-18 Flow Networks
Grue Algorihm CS673-2016F-18 Flow Nework Dvi Glle Deprmen of Compuer Siene Univeriy of Sn Frnio 18-0: Flow Nework Diree Grph G Eh ege weigh i piy Amoun of wer/eon h n flow hrough pipe, for inne Single
More informationAbstract. W.W. Memudu 1 and O.A. Taiwo, 2
Theoreicl Mhemics & Applicions, vol. 6, no., 06, 3-50 ISS: 79-9687 prin, 79-9709 online Scienpress d, 06 Eponenilly fied collocion pproimion mehod for he numericl soluions of Higher Order iner Fredholm
More informationThe Asymptotical Behavior of Probability Measures for the Fluctuations of Stochastic Models
The Asympoial Behavior of Probabiliy Measures for he Fluuaions of Sohasi Models JUN WANG CUINING WEI Deparmen of Mahemais College of Siene Beijing Jiaoong Universiy Beijing Jiaoong Universiy Beijing 44
More informationRefinements to Hadamard s Inequality for Log-Convex Functions
Alied Mhemics 899-93 doi:436/m7 Pulished Online Jul (h://wwwscirporg/journl/m) Refinemens o Hdmrd s Ineuli for Log-Convex Funcions Asrc Wdllh T Sulimn Dermen of Comuer Engineering College of Engineering
More informationON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX.
ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX. MEHMET ZEKI SARIKAYA?, ERHAN. SET, AND M. EMIN OZDEMIR Asrc. In his noe, we oin new some ineuliies
More informationDIFFERENCE BETWEEN TWO RIEMANN-STIELTJES INTEGRAL MEANS
Krgujev Journl of Mthemtis Volume 38() (204), Pges 35 49. DIFFERENCE BETWEEN TWO RIEMANN-STIELTJES INTEGRAL MEANS MOHAMMAD W. ALOMARI Abstrt. In this pper, severl bouns for the ifferene between two Riemn-
More informationAverage & instantaneous velocity and acceleration Motion with constant acceleration
Physics 7: Lecure Reminders Discussion nd Lb secions sr meeing ne week Fill ou Pink dd/drop form if you need o swich o differen secion h is FULL. Do i TODAY. Homework Ch. : 5, 7,, 3,, nd 6 Ch.: 6,, 3 Submission
More informationIX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704
Chper IX The Inegrl Trnform Mehod IX. The plce Trnform November 6, 8 699 IX. THE APACE TRANSFORM IX.. The plce Trnform Definiion 7 IX.. Properie 7 IX..3 Emple 7 IX..4 Soluion of IVP for ODE 74 IX..5 Soluion
More informationChapter Gauss Quadrature Rule of Integration
Chpter 7. Guss Qudrture Rule o Integrtion Ater reding this hpter, you should e le to:. derive the Guss qudrture method or integrtion nd e le to use it to solve prolems, nd. use Guss qudrture method to
More information3. Renewal Limit Theorems
Virul Lborories > 14. Renewl Processes > 1 2 3 3. Renewl Limi Theorems In he inroducion o renewl processes, we noed h he rrivl ime process nd he couning process re inverses, in sens The rrivl ime process
More informationCALDERON S REPRODUCING FORMULA FOR DUNKL CONVOLUTION
Avilble online hp://scik.org Eng. Mh. Le. 15, 15:4 ISSN: 49-9337 CALDERON S REPRODUCING FORMULA FOR DUNKL CONVOLUTION PANDEY, C. P. 1, RAKESH MOHAN AND BHAIRAW NATH TRIPATHI 3 1 Deprmen o Mhemics, Ajy
More informationFredholm Integral Equations of the First Kind Solved by Using the Homotopy Perturbation Method
Int. Journl of Mth. Anlysis, Vol. 5, 211, no. 19, 935-94 Fredholm Integrl Equtions of the First Kind Solved by Using the Homotopy Perturbtion Method Seyyed Mhmood Mirzei Deprtment of Mthemtics, Fculty
More informationNMR Spectroscopy: Principles and Applications. Nagarajan Murali Advanced Tools Lecture 4
NMR Specroscop: Principles nd Applicions Ngrjn Murli Advnced Tools Lecure 4 Advnced Tools Qunum Approch We know now h NMR is rnch of Specroscop nd he MNR specrum is n oucome of nucler spin inercion wih
More informationThe Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales
Advances in Dynamical Sysems and Applicaions. ISSN 0973-5321 Volume 1 Number 1 (2006, pp. 103 112 c Research India Publicaions hp://www.ripublicaion.com/adsa.hm The Asympoic Behavior of Nonoscillaory Soluions
More information2k 1. . And when n is odd number, ) The conclusion is when n is even number, an. ( 1) ( 2 1) ( k 0,1,2 L )
Scholrs Journl of Engineering d Technology SJET) Sch. J. Eng. Tech., ; A):8-6 Scholrs Acdemic d Scienific Publisher An Inernionl Publisher for Acdemic d Scienific Resources) www.sspublisher.com ISSN -X
More informationSolutions to Problems from Chapter 2
Soluions o Problems rom Chper Problem. The signls u() :5sgn(), u () :5sgn(), nd u h () :5sgn() re ploed respecively in Figures.,b,c. Noe h u h () :5sgn() :5; 8 including, bu u () :5sgn() is undeined..5
More information