Delay Dependent Exponential Stability and. Guaranteed Cost of Time-Varying Delay. Singular Systems

Size: px
Start display at page:

Download "Delay Dependent Exponential Stability and. Guaranteed Cost of Time-Varying Delay. Singular Systems"

Transcription

1 Ali amaical Scincs, ol. 6,, no. 4, Dlay Dnn onnial Sabiliy an Guaran Cos of im-arying Dlay Singular Sysms Norin Caibi, l Houssain issir an Ablaziz Hmam LSSI. Darmn of Pysics, Faculy of Scincs, Dar l raz B.P : 796, 3 Fs-Alas; orocco ia_nour@yaoo.fr Absrac is ar als wi roblm of lay-nn guaran cos onnial sabiliy of singular sysms wi im-varying lay. Som imrov laynn coniions ar rsn, in form of linar mari inqualiis o nsur consir sysm o b rgular, imuls fr an onnially sabl wi isnc of a guaran cos. Numrical amls ar givn o sow usfulnss of roos rsuls. Kywors: singular sysms, im-varying lay, onnial sabiliy, laynn coniions, guaran cos, linar mari inqualiy LI.. Inroucion Ovr as cas, muc anion as bn focus on guaran cos roblm. conc of guaran cos for linar sysms was firs inrouc in []. lay-nn sabiliy roblm wi guaran cos for singular sysms is muc mor comlica an a for rgular sysms bcaus i rquirs o consir no only sabiliy, bu also rgulariy an absnc of imulss for coninuous singular sysms [5, 8, 9, 9,, ] an causaliy for iscr singular sysms s. g., [4, 6, 5, 6] a sam im. main ia of guaran cos is o obain a las ur boun of a rformanc lvl. guaran cos roblm is sui in [5, 4, 9, ] for a class of linar singular sysm wi norm-boun aramric uncrainy. robus rliabl guaran cos conrol is invsiga for uncrain singular lay sysm in [3]. No a all

2 5656 N. Caibi, l H. issir an A. Hmam abov rfrncs on consir onnial sabiliy. Howvr, i is mor imoran o suy onnial sabiliy sinc ransin rocss of a sysm may b br scrib if cay ra is rmin. onnial sabiliy of singular sysms wi mulil im-varying lays is sui in [7] an [] wiou consiring any guaran cos. In is no, w invsiga roblm of guaran cos for singular sysm. Dlay-nn coniions ar sablis in rms of LIs, wic guaran singular im-varying lay sysm o b rgular, imuls fr, an onnially sabl wi isnc of a guaran cos. rsuls ar riv by using Lyaunov-Krasovskii funcional mo an making us of Finslr s lmma. In our mo, no comosiion of cofficin marics of sysm is n. is ar is organiz as follows. In scion, roblm is sa an rquir lmmas ar formula. Scion 3 als wi guaran cos onnial sabiliy an in scion 4 w rsn numrical amls o sow usfulnss of roos rsuls.. Sysm scriion an rliminaris Consir singular sysm scrib by = A A [, ] =φ, n Wr R is sa vcor. is im-varying lay of sysm. n n mari R may b singular, w sall assum a rank=r n. A an A ar known ral marics, φ is a comaibl vcor valu coninuous iniial funcion wi φ = su [ ] φ θ. θ, Assumion.: lay is assum o saisfy following consrain:, an < 3 Wr an ar givn osiiv consans. Dfiniion. [] i. air, A is sai rgular if s- A is no inically zro. ii. air, A is sai o b imuls fr if gs- A =rank. Dfiniion. [8]: singular im lay sysm is sai o b rgular an imuls fr if airs, A is rgular an imuls fr. For mor ails on or roris an isnc of soluion of sysm, w rfr rar o [8], an rfrncs rin. In gnral, rgulariy is ofn a sufficin coniion for analysis an synsis of singular sysms.

3 Dlay nn onnial sabiliy 5657 following lmmas ar vry inrsing for our vlomn in is ar. n n n Lmma. [3]: Consir a vcor χ R, a symmric mari Q R an a m n mari B R, suc a rank B < n. following samns ar quivaln: i χ Qχ <, χ suc a Bχ =, χ ii B QB < iii μ R : Q µ B B < n m iv F R : Q FB B F < wr B nos a basis for null-sac of B. Lmma. [3]: For any consan mari n vcor funcion ω [,γ] R fin, n: η n n = R, >, scalar γ η >, : suc a ingraions in following ar wll η η η ω β ω β β ω β β ω β β In is ar, w ar inrs in sablising lay-nn coniions guaraning onnial sabiliy of singular sysm an a las ur boun for cos funcion givn by: J = Z Wr Z is a givn osiiv fini mari onnial sabiliy analysis goal of is scion consiss in vloing sufficin coniions a can b us o cck onnial sabiliy of class of sysms unr suy. coniions n on ur boun of lay as givn in Assumion.. A W A L = W[ A A ] β =λ min P β = λ ma P λ ma W λ ma Q 4 β β= β

4 5658 N. Caibi, l H. issir an A. Hmam orm 3. Givn >, if r is F i, i=,,, P, Q> an W>, suc a following coniions ol: P = P 9 3 = 3 < 33 Wi = P Q W F A A F Z = W F A A F = PF A F 3 = F A F = W Q F A A F 3 33 W F F = n sysm is rgular imuls fr an onnially sabl for any saisfying 3. Furrmor, soluion of sysm saisfis, φ β φ An guaran cos of funcion 4 is givn by: J J * =φ P φ σ φ σ W φ σ σ σ s φ σ Q φ σ σ s Proof of orm 3. : 3 From, i follows a < 3 33 L S = I A. Pr-an os-mulilying by S an S, rscivly, w g, P Q W PA A P A WA Z < 3 I Now coos wo nonsingular marics an N suc a = N = r A A An no, A = A N = ; Z = N ZN ; P = N P = ; A3 A4 3 4 w w Q = N QN ; W = W =. w w3

5 Dlay nn onnial sabiliy 5659 By using 9 i can b sow a = 3. Pr-an os-mulilying 3 by N an N rscivly w g, w P Q PA A P A WA Z < 4 From 4 i can b asily sn a A4 P 4 P 4 A4 < wic imlis a A 4 is nonsingular an consqunly air, A is rgular an imuls fr. rfor, accoring o finiion., sysm is rgular an imuls fr. N, w will sow onnial sabiliy. W consir Lyaunov funcion cania: = 3 5 wr θ = θ, θ [, ], an = P = σ σw σσs s σ 3 = σ Q σ σ I is asy o vrify a ma P λ σ σ A σ [ ] s σ σ A σ σ λmaw W A A σs 4 Consqunly w av β 3 λ ma Q β In following w will comu an boun firs rivaivs of various funcions i for i=,,3. = P σ = W σ W σ σ an w obain afr bouning lay an is rivaiv: σ W σ W σ σ 6

6 566 N. Caibi, l H. issir an A. Hmam wic by lmma. givs W W W W W W 3 3 Q Q = an w obain afr bouning lay an is rivaiv: 3 3 Q Q W g Q Q W W W W P P Now, l [ ] = χ, aing an subracing Z W obain Z χ Φχ 7 Wi P Q W Z W P W Q W Φ= Now, L [ ], I A A B = = F F F F From coniion w av;

7 Dlay nn onnial sabiliy 566 =Φ FB B F < wic by lmma.. imlis a χ Φχ < an consqunly Z < 8 is imlis a φ, aking accoun of 6 w obain β, φ φ β φ n, β φ. β Now, from 6 an 8 w can wri, Z 9 Ingraing bo sis of 9 from o an using iniial coniions w obain, Z P σ σ s σ Q σ σ σ s σ σ W σ σs W σ σs P σ σ Q σ σ As sysm is asymoically sabl, wn w av P, s σ σ Hnc, w g, Z φ σ σ Q σ σ Pφ σ φ Wic conclus a roof W σ σs, σ σ Qφ σ σ s φ σ Wφ σ σs Rmark 3.: In [-, 7-8] sabiliy criria for singular sysm wi im lay av bn vlo by mloying comosiion aroac of sysm marics of sysm. In is ar, sufficin coniions for guaran cos onnial sabiliy analysis ar riv wiou n of any comosiion. comosiion mo can g aroun crain numrical roblm arising from comosiion of marics scially for sysms wi larg imnsion. Howvr, our aroac is rlaivly siml an rliabl. Rmark 3.: mo w vlo in is orm givs lay-nn sufficin coniions wic onc y ar saisfi will guaran a consir sysm is rgular, imuls fr an onnially sabl wi

8 566 N. Caibi, l H. issir an A. Hmam isnc of a guaran cos. rsuls of is orm can b asily n o anl cas of sysms wi mulil im-varying lays scrib by: = A A P = =φ,, or in a comac from as = A A Wi A = [ A A... A ] = [... ] 3, an < 4 wr an, =,,..., ar givn osiiv consans, an = ma A W A L = W [ A A ] β =λ P λ W λ Q 5 3 ma ma ma = 4 = 6 β = β β 3 7 Wy = W W L W 8 ψ = iag W, W,..., W 9 ψ = iag F F F = F Q, Q,..., Q 3 3 orm 3. Givn >, if r is F i, i=,,, P, Q > an W >, =,,, suc a coniion 9 ols an ˆ ˆ ˆ 3 ˆ ˆ ˆ = 3 < 3 ˆ 33

9 Dlay nn onnial sabiliy 5663 wi P ˆ = P Q = ˆ = = Wy F A A F ˆ = ˆ = ψ ψ F A A P F A F 3 F ˆ F A F 3 = = ˆ 33 W F F = W F A A F n sysm is rgular imuls fr an onnially sabl for any, =,..., saisfying 4. Furrmor, soluion of sysm saisfis, φ β φ, an guaran cos of funcion 4 is givn by: * σ s = P σ φ σq φ σσ = Z J J =φ P φ φ σ W φ σσs Rmark 3.3: comuaional comliy associa o rsuls of [7] is largr an a associa o orm 3., in fac numbr of variabls rquir in orm 3. an orm 4 in [7] ar 3 n n n an n n 6 n 5 rscivly. I can b sn a solving orm 3. n n rquirs lss numbr of cision variabls a is 5 n 3. Consqunly, wi our rsuls comuaional man on sarcing for soluion of sabiliy coniions can b allvia. is avanag can b rval scially for sysms wi larg imnsion n Numrical amls! aml : Consir following singular lay sysm..9.9 =, A =, A =,. wi =., ling = an alying orm 3., corrsoning ur boun is =.67. Howvr, alying orm 4 in [7], corrsoning

10 5664 N. Caibi, l H. issir an A. Hmam ur boun is =.65. numbr of variabls rquir in orm 3. an orm 4 in cas = in [7] ar an 43 rscivly. I is clar a coniions in is ar giv br rsuls an s in [7]. aml : consir following singular lay sysm.5. = φ =. wi =, ling = an alying orm 3.. W obain ur boun =.86, an guaran cos of sysm is J*=7.87 for =.86. For comarison, w ali orm of guaran cos sabiliy in [], w foun a coniions ar infasibl. 5. Conclusion is ar als wi roblm of onnial sabiliy an guaran cos for a class of coninuous-im singular linar sysms wi im-varying lay. Dlaynn sabiliy criria ar sablis wic guaran sysm o b rgular, imuls fr an onnially sabl wi isnc of a guaran cos. LIs roos av bn obain by uilizing a Lyaunov Krasovskii funcional an Finslr s lmma. rsuls vlo can b asily solv by using alab or Scilab LI oolbos. Numrical amls ar givn o illusra ffcivnss of roos mo an o sow a our criria giv lss consrvaiv rsuls an os of som ising ons. Rfrncs [] S. Cang,. Png, Aaaiv guaran cos conrol of sysms wi uncrain aramrs, I rans. Auoma., 797, [] L. Dai, Singular Conrol Sysms, Sring-rlag Nw York, NY, U.S.A [3] P. Finslr. Obr as vorkommn fini smifinir formn is scarn quaraiscr formn, Commnarii mamaici, 937, [4]. Friman, U. Sak, Sabiliy an guaran cos conrol of uncrain iscr lay sysms, Inrnaional Journal of Conrol, 785,

11 Dlay nn onnial sabiliy 5665 [5] H. Gao, S. Zu, Z. Cng an B. Xu, Dlay nn Sa Fback Guaran Cos Conrol for Uncrain Singular im-lay Sysms, Procings of 44 I Confrnc on Dcision an Conrol, an uroan Conrol Confrnc, 5, [6] G. Garcia, B. Praina, S. arbourica, F. Zng, Robus sabilizaion an guaran cos conrol for iscr-im linar sysms by saic ouu fback, Auomaica, 393, [7] A. Haiar,.K. Boukas. onnial sabiliy of singular sysms wi mulil im-varying lay, Auomaica, 459, [8] F. Jun, Z. Suqian, C. Zaolin, guaran cos conrol of linar uncrain singular im-lay sysms, Procings of 4s I confrnc on,, [9] Q. Lan, Y. Liu, H. Niu, an J. Liang, Robus rliabl guaran cos conrol for uncrain singular sysms wi im-lay, Journal of Sysms nginring an lcronics,, 7. [] Y. Li, W. Fng, an Y. Liu, Sabiliy of consan cofficin linar singular sysms wi lay, Circuis Sysms an Signal Procssing, 9, 3 5. [] Y. Li an Y. Liu, Basic ory of singular sysms of linar iffrnial iffrnc quaions. In Proc. IFAC 3 Worl Congrss, 996, [] Y. Li an Y. Liu, Sabiliy of soluion of gnraliz funcional quaions, Aca Al. a., 999, [3]. Li, B. Yang, J. Wang, an C. Zong, On sabiliy for nural iffrnial sysms wi mi im varying lay argumns, Proc. 4 I. Conf. on cision an conrol, 53, [4] H. ukaiani, A nw aroac o robus guaran cos conrol for uncrain ulimoling sysms, Auomaica, 45, [5].-C. Pai, Guaran cos conrol of uncrain linar sysms via iscrim variabl srucur conrol, Journal of arin Scinc an cnology, 68, [6] S.-L. Wo, G.-D. Si, an Y. Zou, guaran cos conrol for iscr-im singular larg-scal sysms wi aramr uncrainy, Aca Auomaica Sinica, 35, [7] X. Xi an Y. Liu, Sabiliy for comosi singular sysms of iffrnial quaions wi a lay, Circuis Sysms an Signal Procssing, 5996, [8] S. Xu, P. an Doorn, R. Sfan, an J. Lam, Robus sabiliy an sabilizaion for singular sysms wi sa lay an aramr uncrainy. I ransacions on Auomaic Conrol, 47, 8. [9] L. Yu, J.-. Xu, an Q.-L. Han, Oimal Guaran Cos Conrol of Singular Sysms wi Dlay Sa an Paramr Uncrainis, Procing of 4 Amrican Conrol Confrnc Boson, 54,

12 5666 N. Caibi, l H. issir an A. Hmam [] D. Yu, J. Lam, D. W. C. Ho. Dlay-nn robus onnial sabiliy of uncrain scrior sysms wi im-varying lays, Dynamics of Coninuous, Discr an Imulsiv Sysms, Sris B: Alicaion an Algorims, 5, [] Z. Zao, N. li an B. Cn, Guaran cos conrol for singular nwork sysms bas on ynamic ouu fback, Inrnaional ournal of informaion an sysms scincs, 7, 5-6. [] S. Zu an Z. Cng, Dlay-nn Robus Rsilin Guaran Cos Conrol for Uncrain Singular im-lay Sysms, Amrican Conrol Confrnc, 5, Rciv: Jun,

Double Slits in Space and Time

Double Slits in Space and Time Doubl Slis in Sac an Tim Gorg Jons As has bn ror rcnly in h mia, a am l by Grhar Paulus has monsra an inrsing chniqu for ionizing argon aoms by using ulra-shor lasr ulss. Each lasr uls is ffcivly on an

More information

An Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT

An Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT [Typ x] [Typ x] [Typ x] ISSN : 974-7435 Volum 1 Issu 24 BioTchnology 214 An Indian Journal FULL PAPE BTAIJ, 1(24), 214 [15197-1521] A sag-srucurd modl of a singl-spcis wih dnsiy-dpndn and birh pulss LI

More information

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS

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

More information

2. The Laplace Transform

2. The Laplace Transform Th aac Tranorm Inroucion Th aac ranorm i a unamna an vry uu oo or uying many nginring robm To in h aac ranorm w conir a comx variab σ, whr σ i h ra ar an i h imaginary ar or ix vau o σ an w viw a a oin

More information

PS#4 due today (in class or before 3pm, Rm ) cannot ignore the spatial dimensions

PS#4 due today (in class or before 3pm, Rm ) cannot ignore the spatial dimensions Topic I: Sysms Cll Biology Spaial oscillaion in. coli PS# u oay in class or bfor pm Rm. 68-7 similar o gnic oscillaors s bu now w canno ignor h spaial imnsions biological funcion: rmin h cnr of h cll o

More information

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

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

More information

OPTIMAL DIVIDENDS AND CAPITAL INJECTIONS IN THE DUAL MODEL WITH DIFFUSION ABSTRACT KEYWORDS

OPTIMAL DIVIDENDS AND CAPITAL INJECTIONS IN THE DUAL MODEL WITH DIFFUSION ABSTRACT KEYWORDS OPTIMAL DIVIDENDS AND CAPITAL INJECTIONS IN THE DUAL MODEL WITH DIFFUSION BY BENJAMIN AVANZI, JONATHAN SHEN, BERNARD WONG ABSTRACT Th ual mol wih iffusion is aroria for comanis wih coninuous xnss ha ar

More information

Midterm exam 2, April 7, 2009 (solutions)

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

More information

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

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

More information

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems Inrucor Soluion for Aignmn Chapr : Tim Domain Anali of LTIC Sm Problm i a 8 x x wih x u,, an Zro-inpu rpon of h m: Th characriic quaion of h LTIC m i i 8, which ha roo a ± j Th zro-inpu rpon i givn b zi

More information

Ministry of Education and Science of Ukraine National Technical University Ukraine "Igor Sikorsky Kiev Polytechnic Institute"

Ministry of Education and Science of Ukraine National Technical University Ukraine Igor Sikorsky Kiev Polytechnic Institute Minisry of Educaion and Scinc of Ukrain Naional Tchnical Univrsiy Ukrain "Igor Sikorsky Kiv Polychnic Insiu" OPERATION CALCULATION Didacic marial for a modal rfrnc work on mahmaical analysis for sudns

More information

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule Lcur : Numrical ngraion Th Trapzoidal and Simpson s Rul A problm Th probabiliy of a normally disribud (man µ and sandard dviaion σ ) vn occurring bwn h valus a and b is B A P( a x b) d () π whr a µ b -

More information

PFC Predictive Functional Control

PFC Predictive Functional Control PFC Prdiciv Funcional Conrol Prof. Car d Prada D. of Sm Enginring and Auomaic Conrol Univri of Valladolid, Sain rada@auom.uva. Oulin A iml a oibl Moivaion PFC main ida An inroducor xaml Moivaion Prdiciv

More information

DYNAMICS and CONTROL

DYNAMICS and CONTROL DYNAMICS an CONTROL Mol IV(I) IV(II) Conrol Sysms Dsign Conrol sysm aramrs Prsn by Pro Albros Profssor of Sysms Enginring an Conrol - UPV Mols: Examls of sysms an signals Mols of sysms an signals Conroll

More information

The Transfer Function. The Transfer Function. The Transfer Function. The Transfer Function. The Transfer Function. The Transfer Function

The Transfer Function. The Transfer Function. The Transfer Function. The Transfer Function. The Transfer Function. The Transfer Function A gnraliation of th frquncy rsons function Th convolution sum scrition of an LTI iscrt-tim systm with an imuls rsons h[n] is givn by h y [ n] [ ] x[ n ] Taing th -transforms of both sis w gt n n h n n

More information

A Condition for Stability in an SIR Age Structured Disease Model with Decreasing Survival Rate

A Condition for Stability in an SIR Age Structured Disease Model with Decreasing Survival Rate A Condiion for abiliy in an I Ag rucurd Disas Modl wih Dcrasing urvival a A.K. upriana, Edy owono Dparmn of Mahmaics, Univrsias Padjadjaran, km Bandung-umng 45363, Indonsia fax: 6--7794696, mail: asupria@yahoo.com.au;

More information

Wave Equation (2 Week)

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

More information

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

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

More information

Applied Statistics and Probability for Engineers, 6 th edition October 17, 2016

Applied Statistics and Probability for Engineers, 6 th edition October 17, 2016 Applid Saisics and robabiliy for Enginrs, 6 h diion Ocobr 7, 6 CHATER Scion - -. a d. 679.. b. d. 88 c d d d. 987 d. 98 f d.. Thn, = ln. =. g d.. Thn, = ln.9 =.. -7. a., by symmry. b.. d...6. 7.. c...

More information

Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall. Chapr Rviw 0 6. ( a a ln a. This will qual a if an onl if ln a, or a. + k an (ln + c. Thrfor, a an valu of, whr h wo curvs inrsc, h wo angn lins will b prpnicular. 6. (a Sinc h lin passs hrough h origin

More information

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

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

More information

Robust Control of the Aircraft Attitude

Robust Control of the Aircraft Attitude Robus Conrol of h Airraf Aiu F X Wu 1, an W J Zhang Darmn of Mhanial Enginring Univrsiy of Sasahan, Sasaoon, SK S7N 5A9, Canaa Chris_Zhang@EngrUsasCa 1 On h sial laving from Norhsrn Ployhnial Univrsiy,

More information

CSE 245: Computer Aided Circuit Simulation and Verification

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

More information

CHAPTER. Linear Systems of Differential Equations. 6.1 Theory of Linear DE Systems. ! Nullcline Sketching. Equilibrium (unstable) at (0, 0)

CHAPTER. Linear Systems of Differential Equations. 6.1 Theory of Linear DE Systems. ! Nullcline Sketching. Equilibrium (unstable) at (0, 0) CHATER 6 inar Sysms of Diffrnial Equaions 6 Thory of inar DE Sysms! ullclin Skching = y = y y υ -nullclin Equilibrium (unsabl) a (, ) h nullclin y = υ nullclin = h-nullclin (S figur) = + y y = y Equilibrium

More information

H is equal to the surface current J S

H is equal to the surface current J S Chapr 6 Rflcion and Transmission of Wavs 6.1 Boundary Condiions A h boundary of wo diffrn mdium, lcromagnic fild hav o saisfy physical condiion, which is drmind by Maxwll s quaion. This is h boundary condiion

More information

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15]

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15] S.Y. B.Sc. (IT) : Sm. III Applid Mahmaics Tim : ½ Hrs.] Prlim Qusion Papr Soluion [Marks : 75 Q. Amp h following (an THREE) 3 6 Q.(a) Rduc h mari o normal form and find is rank whr A 3 3 5 3 3 3 6 Ans.:

More information

On Ψ-Conditional Asymptotic Stability of First Order Non-Linear Matrix Lyapunov Systems

On Ψ-Conditional Asymptotic Stability of First Order Non-Linear Matrix Lyapunov Systems In. J. Nonlinar Anal. Appl. 4 (213) No. 1, 7-2 ISSN: 28-6822 (lcronic) hp://www.ijnaa.smnan.ac.ir On Ψ-Condiional Asympoic Sabiliy of Firs Ordr Non-Linar Marix Lyapunov Sysms G. Sursh Kumar a, B. V. Appa

More information

General Article Application of differential equation in L-R and C-R circuit analysis by classical method. Abstract

General Article Application of differential equation in L-R and C-R circuit analysis by classical method. Abstract Applicaion of Diffrnial... Gnral Aricl Applicaion of diffrnial uaion in - and C- circui analysis by classical mhod. ajndra Prasad gmi curr, Dparmn of Mahmaics, P.N. Campus, Pokhara Email: rajndraprasadrgmi@yahoo.com

More information

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +

More information

EXERCISE - 01 CHECK YOUR GRASP

EXERCISE - 01 CHECK YOUR GRASP DIFFERENTIAL EQUATION EXERCISE - CHECK YOUR GRASP 7. m hn D() m m, D () m m. hn givn D () m m D D D + m m m m m m + m m m m + ( m ) (m ) (m ) (m + ) m,, Hnc numbr of valus of mn will b. n ( ) + c sinc

More information

ON AN EFFICIENT TECHNIQUE FOR SOLVING (1+1)- DIMENSIONAL BENJAMIN-BONA MAHONY EQUATION

ON AN EFFICIENT TECHNIQUE FOR SOLVING (1+1)- DIMENSIONAL BENJAMIN-BONA MAHONY EQUATION Journal of Sin an Ars Yar 7 No. 3(40). 393-400 07 ORIGINAL PAPER ON AN EFFICIENT TECHNIQUE FOR SOLVING ()- DIMENSIONAL BENJAMIN-BONA MAHONY EQUATION QAZI MAHMOOD UL-HASSAN MUHAMMAD ASHRAF MADIHA AFZAL

More information

Lecture 4: Laplace Transforms

Lecture 4: Laplace Transforms Lur 4: Lapla Transforms Lapla and rlad ransformaions an b usd o solv diffrnial quaion and o rdu priodi nois in signals and imags. Basially, hy onvr h drivaiv opraions ino mulipliaion, diffrnial quaions

More information

fiziks Institute for NET/JRF, GATE, IIT JAM, JEST, TIFR and GRE in PHYSICAL SCIENCES MATEMATICAL PHYSICS SOLUTIONS are

fiziks Institute for NET/JRF, GATE, IIT JAM, JEST, TIFR and GRE in PHYSICAL SCIENCES MATEMATICAL PHYSICS SOLUTIONS are MTEMTICL PHYSICS SOLUTIONS GTE- Q. Considr an ani-symmric nsor P ij wih indics i and j running from o 5. Th numbr of indpndn componns of h nsor is 9 6 ns: Soluion: Th numbr of indpndn componns of h nsor

More information

Lecture 2: Current in RC circuit D.K.Pandey

Lecture 2: Current in RC circuit D.K.Pandey Lcur 2: urrn in circui harging of apacior hrough Rsisr L us considr a capacior of capacianc is conncd o a D sourc of.m.f. E hrough a rsisr of rsisanc R and a ky K in sris. Whn h ky K is swichd on, h charging

More information

Charging of capacitor through inductor and resistor

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

More information

Math 3301 Homework Set 6 Solutions 10 Points. = +. The guess for the particular P ( ) ( ) ( ) ( ) ( ) ( ) ( ) cos 2 t : 4D= 2

Math 3301 Homework Set 6 Solutions 10 Points. = +. The guess for the particular P ( ) ( ) ( ) ( ) ( ) ( ) ( ) cos 2 t : 4D= 2 Mah 0 Homwork S 6 Soluions 0 oins. ( ps) I ll lav i o you o vrify ha y os sin = +. Th guss for h pariular soluion and is drivaivs is blow. Noi ha w ndd o add s ono h las wo rms sin hos ar xaly h omplimnary

More information

A THREE COMPARTMENT MATHEMATICAL MODEL OF LIVER

A THREE COMPARTMENT MATHEMATICAL MODEL OF LIVER A THREE COPARTENT ATHEATICAL ODEL OF LIVER V. An N. Ch. Paabhi Ramacharyulu Faculy of ahmaics, R D collgs, Hanamonda, Warangal, India Dparmn of ahmaics, Naional Insiu of Tchnology, Warangal, India E-ail:

More information

First Lecture of Machine Learning. Hung-yi Lee

First Lecture of Machine Learning. Hung-yi Lee Firs Lcur of Machin Larning Hung-yi L Larning o say ys/no Binary Classificaion Larning o say ys/no Sam filring Is an -mail sam or no? Rcommndaion sysms rcommnd h roduc o h cusomr or no? Malwar dcion Is

More information

Why Laplace transforms?

Why Laplace transforms? MAE4 Linar ircui Why Lalac ranform? Firordr R cc v v v KVL S R inananou for ach Subiu lmn rlaion v S Ordinary diffrnial quaion in rm of caacior volag Lalac ranform Solv Invr LT V u, v Ri, i A R V A _ v

More information

Nikesh Bajaj. Fourier Analysis and Synthesis Tool. Guess.? Question??? History. Fourier Series. Fourier. Nikesh Bajaj

Nikesh Bajaj. Fourier Analysis and Synthesis Tool. Guess.? Question??? History. Fourier Series. Fourier. Nikesh Bajaj Guss.? ourir Analysis an Synhsis Tool Qusion??? niksh.473@lpu.co.in Digial Signal Procssing School of Elcronics an Communicaion Lovly Profssional Univrsiy Wha o you man by Transform? Wha is /Transform?

More information

2.1. Differential Equations and Solutions #3, 4, 17, 20, 24, 35

2.1. Differential Equations and Solutions #3, 4, 17, 20, 24, 35 MATH 5 PS # Summr 00.. Diffrnial Equaions and Soluions PS.# Show ha ()C #, 4, 7, 0, 4, 5 ( / ) is a gnral soluion of h diffrnial quaion. Us a compur or calculaor o skch h soluions for h givn valus of h

More information

Elementary Differential Equations and Boundary Value Problems

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

More information

Jonathan Turner Exam 2-12/4/03

Jonathan Turner Exam 2-12/4/03 CS 41 Algorim an Program Prolm Exam Soluion S Soluion Jonaan Turnr Exam -1/4/0 10/8/0 1. (10 poin) T igur low ow an implmnaion o ynami r aa ruur wi vral virual r. Sow orrponing o aual r (owing vrx o).

More information

Let s look again at the first order linear differential equation we are attempting to solve, in its standard form:

Let s look again at the first order linear differential equation we are attempting to solve, in its standard form: Th Ingraing Facor Mhod In h prvious xampls of simpl firs ordr ODEs, w found h soluions by algbraically spara h dpndn variabl- and h indpndn variabl- rms, and wri h wo sids of a givn quaion as drivaivs,

More information

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is 39 Anohr quival dfiniion of h Fri vlociy is pf vf (6.4) If h rgy is a quadraic funcion of k H k L, hs wo dfiniions ar idical. If is NOT a quadraic funcion of k (which could happ as will b discussd in h

More information

Delay and Its Time-Derivative Dependent Stable Criterion for Differential-Algebraic Systems

Delay and Its Time-Derivative Dependent Stable Criterion for Differential-Algebraic Systems Applied Maemaics 6 7 4- Publised Online June 6 in SciRes p://wwwscirporg/journal/am p://dxdoiorg/46/am67 Delay and Is ime-derivaive Dependen Sable Crierion for Differenial-Algebraic Sysems Hui Liu Yucai

More information

Laplace Transforms recap for ccts

Laplace Transforms recap for ccts Lalac Tranform rca for cc Wha h big ida?. Loo a iniial condiion ron of cc du o caacior volag and inducor currn a im Mh or nodal analyi wih -domain imdanc rianc or admianc conducanc Soluion of ODE drivn

More information

where: u: input y: output x: state vector A, B, C, D are const matrices

where: u: input y: output x: state vector A, B, C, D are const matrices Sa pac modl: linar: y or in om : Sa q : f, u Oupu q : y h, u u Du F Gu y H Ju whr: u: inpu y: oupu : a vcor,,, D ar con maric Eampl " $ & ' " $ & 'u y " & * * * * [ ],, D H D I " $ " & $ ' " & $ ' " &

More information

whereby we can express the phase by any one of the formulas cos ( 3 whereby we can express the phase by any one of the formulas

whereby we can express the phase by any one of the formulas cos ( 3 whereby we can express the phase by any one of the formulas Third In-Class Exam Soluions Mah 6, Profssor David Lvrmor Tusday, 5 April 07 [0] Th vrical displacmn of an unforcd mass on a spring is givn by h 5 3 cos 3 sin a [] Is his sysm undampd, undr dampd, criically

More information

Relation between Fourier Series and Transform

Relation between Fourier Series and Transform EE 37-3 8 Ch. II: Inro. o Sinls Lcur 5 Dr. Wih Abu-Al-Su Rlion bwn ourir Sris n Trnsform Th ourir Trnsform T is riv from h finiion of h ourir Sris S. Consir, for xmpl, h prioic complx sinl To wih prio

More information

The core in the matching model with quota restriction *

The core in the matching model with quota restriction * h cor in h maching mol wih uoa rsricion * Absrac: In his papr w suy h cor in h maching mol wih uoa rsricion whr an insiuion has o hir a s of pairs of complmnary workrs an has a uoa ha is h maximum numbr

More information

NAME: SOLUTIONS EEE 203 HW 1

NAME: SOLUTIONS EEE 203 HW 1 NAME: SOLUIONS EEE W Problm. Cosir sigal os grap is so blo. Sc folloig sigals: -, -, R, r R os rflcio opraio a os sif la opraio b. - - R - Problm. Dscrib folloig sigals i rms of lmar fcios,,r, a comp a.

More information

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

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

More information

Abstract. 1 Introduction

Abstract. 1 Introduction A ToA-bas Aroach o NLOS Localizaion Using Low-Frquncy Soun Lin Chi Mak an Tomonari Furukawa ARC Cnr of Excllnc for Auonomous Sysms School of Mchanical an Manufacuring Enginring Th Univrsiy of Nw Souh Wals

More information

Boyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues

Boyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues Boy/DiPrima 9 h d Ch 7.8: Rpad Eignvalus Elmnary Diffrnial Equaions and Boundary Valu Problms 9 h diion by William E. Boy and Rihard C. DiPrima 9 by John Wily & Sons In. W onsidr again a homognous sysm

More information

Case Study Vancomycin Answers Provided by Jeffrey Stark, Graduate Student

Case Study Vancomycin Answers Provided by Jeffrey Stark, Graduate Student Cas Stuy Vancomycin Answrs Provi by Jffry Stark, Grauat Stunt h antibiotic Vancomycin is liminat almost ntirly by glomrular filtration. For a patint with normal rnal function, th half-lif is about 6 hours.

More information

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

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

More information

Additional Exercises for Chapter What is the slope-intercept form of the equation of the line given by 3x + 5y + 2 = 0?

Additional Exercises for Chapter What is the slope-intercept form of the equation of the line given by 3x + 5y + 2 = 0? ddiional Eercises for Caper 5 bou Lines, Slopes, and Tangen Lines 39. Find an equaion for e line roug e wo poins (, 7) and (5, ). 4. Wa is e slope-inercep form of e equaion of e line given by 3 + 5y +

More information

( ) ( ) + = ( ) + ( )

( ) ( ) + = ( ) + ( ) Mah 0 Homwork S 6 Soluions 0 oins. ( ps I ll lav i o you vrify ha h omplimnary soluion is : y ( os( sin ( Th guss for h pariular soluion and is drivaivs ar, +. ( os( sin ( ( os( ( sin ( Y ( D 6B os( +

More information

Ratio-Product Type Exponential Estimator For Estimating Finite Population Mean Using Information On Auxiliary Attribute

Ratio-Product Type Exponential Estimator For Estimating Finite Population Mean Using Information On Auxiliary Attribute Raio-Produc T Exonnial Esimaor For Esimaing Fini Poulaion Man Using Informaion On Auxiliar Aribu Rajsh Singh, Pankaj hauhan, and Nirmala Sawan, School of Saisics, DAVV, Indor (M.P., India (rsinghsa@ahoo.com

More information

Transfer function and the Laplace transformation

Transfer function and the Laplace transformation Lab No PH-35 Porland Sa Univriy A. La Roa Tranfr funcion and h Laplac ranformaion. INTRODUTION. THE LAPLAE TRANSFORMATION L 3. TRANSFER FUNTIONS 4. ELETRIAL SYSTEMS Analyi of h hr baic paiv lmn R, and

More information

Control System Engineering (EE301T) Assignment: 2

Control System Engineering (EE301T) Assignment: 2 Conrol Sysm Enginring (EE0T) Assignmn: PART-A (Tim Domain Analysis: Transin Rspons Analysis). Oain h rspons of a uniy fdack sysm whos opn-loop ransfr funcion is (s) s ( s 4) for a uni sp inpu and also

More information

Chapter 2 The Derivative Business Calculus 99

Chapter 2 The Derivative Business Calculus 99 Chapr Th Drivaiv Businss Calculus 99 Scion 5: Drivaivs of Formulas In his scion, w ll g h rivaiv ruls ha will l us fin formulas for rivaivs whn our funcion coms o us as a formula. This is a vry algbraic

More information

AN EOQ INVENTORY MODEL FOR ITEMS WITH RAMP TYPE DEMAND, THREE-PARAMETER WEIBULL DISTRIBUTION DETERIORATION AND STARTING WITH SHORTAGE

AN EOQ INVENTORY MODEL FOR ITEMS WITH RAMP TYPE DEMAND, THREE-PARAMETER WEIBULL DISTRIBUTION DETERIORATION AND STARTING WITH SHORTAGE Yugoslav Journal of Opraions Rsarc Volum0 00, Numr, 49-59 DOI:0.98/YJOR0049J N EOQ INVENORY MODEL FOR IEMS WIH RMP YPE DEMND, HREE-PRMEER WEIBULL DISRIBUION DEERIORION ND SRING WIH SHORGE Sanjay JIN Dparmn

More information

On the Speed of Heat Wave. Mihály Makai

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

More information

Stability Analysis of Three Species Model in Series Mutualism with Bionomic and Optimal Harvesting of Two Terminal Species

Stability Analysis of Three Species Model in Series Mutualism with Bionomic and Optimal Harvesting of Two Terminal Species Inrnaional Journal of Sinifi an Innovaiv Mahmaial Rsarh (IJSIMR) Volum, Issu, Dmbr, PP -5 ISS 7-7X (Prin) & ISS 7- (Onlin) www.arjournals.org Sabiliy nalysis of Thr Sis Mol in Sris Muualism wih Bionomi

More information

The Global and Pullback Attractors for a Strongly Damped Wave Equation with Delays *

The Global and Pullback Attractors for a Strongly Damped Wave Equation with Delays * Inrnaional Journal of Modrn Nonlinar Tory Applicaion 9-8 Publisd Onlin cbr (p://wwwscirporg/journal/ijna) p://dxdoiorg/6/ijna9 T Global Pullback Aracors for a Srongly apd Wav Equaion wi lays * Guoguang

More information

Lecture 21 : Graphene Bandstructure

Lecture 21 : Graphene Bandstructure Fundmnls of Nnolcronics Prof. Suprio D C 45 Purdu Univrsi Lcur : Grpn Bndsrucur Rf. Cpr 6. Nwor for Compuionl Nnocnolog Rviw of Rciprocl Lic :5 In ls clss w lrnd ow o consruc rciprocl lic. For D w v: Rl-Spc:

More information

Online Supplement: Advance Selling in a Supply Chain under Uncertain Supply and Demand

Online Supplement: Advance Selling in a Supply Chain under Uncertain Supply and Demand Onlin Supplmnt Avanc Slling in a Supply Cain unr Uncrtain Supply an Dman. Proos o Analytical sults Proo o Lmma. Using a = minl 0 ; x g; w can rwrit () as ollows (x ; w ; x ; w ) = a +(m0 w )a +( +" x w

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!

More information

FIRST-ORDER SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS I: Introduction and Linear Systems

FIRST-ORDER SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS I: Introduction and Linear Systems FIRST-ORDER SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS I: Inroducion and Linar Sysms David Lvrmor Dparmn of Mahmaics Univrsiy of Maryland 9 Dcmbr 0 Bcaus h prsnaion of his marial in lcur will diffr from

More information

CHAPTER CHAPTER14. Expectations: The Basic Tools. Prepared by: Fernando Quijano and Yvonn Quijano

CHAPTER CHAPTER14. Expectations: The Basic Tools. Prepared by: Fernando Quijano and Yvonn Quijano Expcaions: Th Basic Prpard by: Frnando Quijano and Yvonn Quijano CHAPTER CHAPTER14 2006 Prnic Hall Businss Publishing Macroconomics, 4/ Olivir Blanchard 14-1 Today s Lcur Chapr 14:Expcaions: Th Basic Th

More information

Settling Time Design and Parameter Tuning Methods for Finite-Time P-PI Control

Settling Time Design and Parameter Tuning Methods for Finite-Time P-PI Control Journal of Conrol Science an Engineering (6) - oi:.765/8-/6.. D DAVID PUBLISHING Seling ime Design an Parameer uning Mehos for Finie-ime P-PI Conrol Keigo Hiruma, Hisaazu Naamura an Yasuyui Saoh. Deparmen

More information

Comparison between the Discrete and Continuous Time Models

Comparison between the Discrete and Continuous Time Models Comparison beween e Discree and Coninuous Time Models D. Sulsky June 21, 2012 1 Discree o Coninuous Recall e discree ime model Î = AIS Ŝ = S Î. Tese equaions ell us ow e populaion canges from one day o

More information

EE 350 Signals and Systems Spring 2005 Sample Exam #2 - Solutions

EE 350 Signals and Systems Spring 2005 Sample Exam #2 - Solutions EE 35 Signals an Sysms Spring 5 Sampl Exam # - Soluions. For h following signal x( cos( sin(3 - cos(5 - T, /T x( j j 3 j 3 j j 5 j 5 j a -, a a -, a a - ½, a 3 /j-j -j/, a -3 -/jj j/, a 5 -½, a -5 -½,

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!

More information

MARK SCHEME for the October/November 2014 series 9231 MATHEMATICS. 9231/12 Paper 1, maximum raw mark 100

MARK SCHEME for the October/November 2014 series 9231 MATHEMATICS. 9231/12 Paper 1, maximum raw mark 100 CAMBRIDGE INTERNATIONAL EXAMINATIONS Cambrig Inrnaional Aanc Ll MARK SCHEME for h Ocobr/Nombr sris 9 MATHEMATICS 9/ Papr, maimum raw mar This mar schm is publish as an ai o achrs an canias, o inica h rquirmns

More information

European and American options with a single payment of dividends. (About formula Roll, Geske & Whaley) Mark Ioffe. Abstract

European and American options with a single payment of dividends. (About formula Roll, Geske & Whaley) Mark Ioffe. Abstract 866 Uni Naions Plaza i 566 Nw Yo NY 7 Phon: + 3 355 Fa: + 4 668 info@gach.com www.gach.com Eoan an Amican oions wih a singl amn of ivins Abo fomla Roll Gs & Whal Ma Ioff Absac Th aicl ovis a ivaion of

More information

XV Exponential and Logarithmic Functions

XV Exponential and Logarithmic Functions MATHEMATICS 0-0-RE Dirnial Calculus Marin Huard Winr 08 XV Eponnial and Logarihmic Funcions. Skch h graph o h givn uncions and sa h domain and rang. d) ) ) log. Whn Sarah was born, hr parns placd $000

More information

Almost power law : Tempered power-law models (T-FADE)

Almost power law : Tempered power-law models (T-FADE) Almos powr law : Tmprd powr-law modls T-FADE Yong Zhang Dsr Rsarch Insiu Novmbr 4, 29 Acknowldgmns Boris Baumr Mark Mrschar Donald Rvs Oulin Par Spac T-FADE modl. Inroducion 2. Numrical soluion 3. Momn

More information

Midterm Examination (100 pts)

Midterm Examination (100 pts) Econ 509 Spring 2012 S.L. Parn Midrm Examinaion (100 ps) Par I. 30 poins 1. Dfin h Law of Diminishing Rurns (5 ps.) Incrasing on inpu, call i inpu x, holding all ohr inpus fixd, on vnuall runs ino h siuaion

More information

Institute of Actuaries of India

Institute of Actuaries of India Insiu of Acuaris of India ubjc CT3 Probabiliy and Mahmaical aisics Novmbr Examinaions INDICATIVE OLUTION Pag of IAI CT3 Novmbr ol. a sampl man = 35 sampl sandard dviaion = 36.6 b for = uppr bound = 35+*36.6

More information

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b 4. Th Uniform Disribuion Df n: A c.r.v. has a coninuous uniform disribuion on [a, b] whn is pdf is f x a x b b a Also, b + a b a µ E and V Ex4. Suppos, h lvl of unblivabiliy a any poin in a Transformrs

More information

Static Output Feedback Sliding Mode Control for Nonlinear Systems with Delay

Static Output Feedback Sliding Mode Control for Nonlinear Systems with Delay AMSE JOURNALS 04-Series: Avances C; Vol. 69; N ; pp 8-38 Submie July 03; Revise April 5, 04; Accepe May, 04 Saic Oupu Feeback Sliing Moe Conrol for Nonlinear Sysems wih Delay H. Yao, F. Yuan School of

More information

The Quantum Theory of Atoms and Molecules: The Schrodinger equation. Hilary Term 2008 Dr Grant Ritchie

The Quantum Theory of Atoms and Molecules: The Schrodinger equation. Hilary Term 2008 Dr Grant Ritchie e Quanum eory of Aoms and Molecules: e Scrodinger equaion Hilary erm 008 Dr Gran Ricie An equaion for maer waves? De Broglie posulaed a every paricles as an associaed wave of waveleng: / p Wave naure of

More information

Heat flow in composite rods an old problem reconsidered

Heat flow in composite rods an old problem reconsidered Ha flow in copoi ro an ol probl rconir. Kranjc a Dparn of Phyic an chnology Faculy of Eucaion Univriy of jubljana Karljva ploca 6 jubljana Slovnia an J. Prnlj Faculy of Civil an Goic Enginring Univriy

More information

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison Economics 302 (Sc. 001) Inrmdia Macroconomic Thory and Policy (Spring 2011) 3/28/2012 Insrucor: Prof. Mnzi Chinn Insrucor: Prof. Mnzi Chinn UW Madison 16 1 Consumpion Th Vry Forsighd dconsumr A vry forsighd

More information

symmetric/hermitian matrices, and similarity transformations

symmetric/hermitian matrices, and similarity transformations Linar lgbra for Wirlss Communicaions Lcur: 6 Diffrnial quaions, Grschgorin's s circl horm, symmric/hrmiian marics, and similariy ransformaions Ov Edfors Dparmn of Elcrical and Informaion Tchnology Lund

More information

a dt a dt a dt dt If 1, then the poles in the transfer function are complex conjugates. Let s look at f t H t f s / s. So, for a 2 nd order system:

a dt a dt a dt dt If 1, then the poles in the transfer function are complex conjugates. Let s look at f t H t f s / s. So, for a 2 nd order system: Undrdamd Sysms Undrdamd Sysms nd Ordr Sysms Ouu modld wih a nd ordr ODE: d y dy a a1 a0 y b f If a 0 0, hn: whr: a d y a1 dy b d y dy y f y f a a a 0 0 0 is h naural riod of oscillaion. is h daming facor.

More information

Supervisory Control of Periodic Stepping Motion of a Bipedal Robot

Supervisory Control of Periodic Stepping Motion of a Bipedal Robot uprvisory Conrol of Prioic pping Moion of a Bipal Robo Hihiro Urahama 1, Yuichi Tazaki 1 an Tasuya uzuki 1 1 Dparmn of Mchanical cinc an Enginring, Graua chool of Enginring, Nagoya Univrsiy Furo-cho, Chikusa-ku,

More information

Higher Order Difference Schemes for Heat Equation

Higher Order Difference Schemes for Heat Equation Available a p://pvau.edu/aa Appl. Appl. Ma. ISSN: 9-966 Vol., Issue (Deceber 009), pp. 6 7 (Previously, Vol., No. ) Applicaions and Applied Maeaics: An Inernaional Journal (AAM) Higer Order Difference

More information

On asymptotic behavior of composite integers n = pq Yasufumi Hashimoto

On asymptotic behavior of composite integers n = pq Yasufumi Hashimoto Journal of Mah-for-Indusry Vol1009A-6 45 49 On asymoic behavior of comosie inegers n = q Yasufumi Hashimoo Received on March 1 009 Absrac In his aer we sudy he asymoic behavior of he number of comosie

More information

On a problem of Graham By E. ERDŐS and E. SZEMERÉDI (Budapest) GRAHAM stated the following conjecture : Let p be a prime and a 1,..., ap p non-zero re

On a problem of Graham By E. ERDŐS and E. SZEMERÉDI (Budapest) GRAHAM stated the following conjecture : Let p be a prime and a 1,..., ap p non-zero re On a roblem of Graham By E. ERDŐS and E. SZEMERÉDI (Budaes) GRAHAM saed he following conjecure : Le be a rime and a 1,..., a non-zero residues (mod ). Assume ha if ' a i a i, ei=0 or 1 (no all e i=0) is

More information

Review Lecture 5. The source-free R-C/R-L circuit Step response of an RC/RL circuit. The time constant = RC The final capacitor voltage v( )

Review Lecture 5. The source-free R-C/R-L circuit Step response of an RC/RL circuit. The time constant = RC The final capacitor voltage v( ) Rviw Lcur 5 Firs-ordr circui Th sourc-fr R-C/R-L circui Sp rspons of an RC/RL circui v( ) v( ) [ v( 0) v( )] 0 Th i consan = RC Th final capacior volag v() Th iniial capacior volag v( 0 ) Volag/currn-division

More information

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 259] B-Trees

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 259] B-Trees CPSC 211 Daa Srucurs & Implmnaions (c) Txas A&M Univrsiy [ 259] B-Trs Th AVL r and rd-black r allowd som variaion in h lnghs of h diffrn roo-o-laf pahs. An alrnaiv ida is o mak sur ha all roo-o-laf pahs

More information

3(8 ) (8 x x ) 3x x (8 )

3(8 ) (8 x x ) 3x x (8 ) Scion - CHATER -. a d.. b. d.86 c d 8 d d.9997 f g 6. d. d. Thn, = ln. =. =.. d Thn, = ln.9 =.7 8 -. a d.6 6 6 6 6 8 8 8 b 9 d 6 6 6 8 c d.8 6 6 6 6 8 8 7 7 d 6 d.6 6 6 6 6 6 6 8 u u u u du.9 6 6 6 6 6

More information

Chapter Three Systems of Linear Differential Equations

Chapter Three Systems of Linear Differential Equations Chaper Three Sysems of Linear Differenial Equaions In his chaper we are going o consier sysems of firs orer orinary ifferenial equaions. These are sysems of he form x a x a x a n x n x a x a x a n x n

More information

Stability and Bifurcation in a Neural Network Model with Two Delays

Stability and Bifurcation in a Neural Network Model with Two Delays Inernaional Mahemaical Forum, Vol. 6, 11, no. 35, 175-1731 Sabiliy and Bifurcaion in a Neural Nework Model wih Two Delays GuangPing Hu and XiaoLing Li School of Mahemaics and Physics, Nanjing Universiy

More information

Final Exam : Solutions

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

More information

DISCRETE GRONWALL LEMMA AND APPLICATIONS

DISCRETE GRONWALL LEMMA AND APPLICATIONS DISCRETE GRONWALL LEMMA AND APPLICATIONS JOHN M. HOLTE MAA NORTH CENTRAL SECTION MEETING AT UND 24 OCTOBER 29 Gronwall s lemma saes an inequaliy ha is useful in he heory of differenial equaions. Here is

More information