DESIGN OF OBSERVER-BASED CONTROLLER FOR LINEAR NEUTRAL SYSTEMS. M. N. Alpaslan Parlakçı
|
|
- Annabelle Gallagher
- 6 years ago
- Views:
Transcription
1 EIGN OF OBEE-BE ONOLLE FO LINE NEUL YEM M. N. lpala arlakçı parm of ompur cc abul Blg Uvry olapr 3444 abul urky -mal: brac: I papr problm of obrvr-ba a-fback corollr g for lar ural ym vga. Employg Lyapuov mo a quarac ably ory a w lay-p ably crro oba form of a lar mar qualy wc ca b aly olv by wll-kow ror-po algorm. umrcal ampl rouc o mora ffcv of propo mo roug mulao u. opyrg 5 IF Kywor: m-lay full a-obrvr clo-loop ably lar mar qual.. INOUION m lay vably yamcal a pycal ym bcau of lack of uffc formao procg ra a aa ramo capably rougou ffr par of ym. ma ffc of m lay ar a ably of ym bavour a of cau poor a rora prformac. uao mova rarcr o uy ablzao of m lay ym. parcular cla of m lay ym wc m lay alo rvav of a call m lay ym of ural yp. robu ablzao problm of ural m lay ym a b vga lraur Xu al. ; Xu al. 3; ark 3a; ark 3b; Xu al. 4. ablzao mo rpor by abov auor ar all ba o mmoryl afback corollr. uao praum a all a ar avalabl or accbl roug maurm. I orr o avo rqurm of all a o b avalabl wc o o ralc pracc for may pycal ym oly rmy o g a obrvr-ba corollr. g problm of a-obrvr for m lay ym a alo b u by a umbr of rarcr r 999; Bouayb ; Hou al. ; Wag ; Mamou a rb 3; r al. 4. Howvr auor av grally cor lay ffral ym of oly rar yp. r qu a fw umbr of work Wag al. ; al. 4; ark 4 wc a obrvr g for ural yp of m lay ym a b vga. problm of obrvr g for a cla of m lay olar ym w paramr ucra cor by Wag a Ubau. algbrac paramrz approac ba o a cca mar quao plo o caracrz c coo a of pc robu olar obrvr. Howvr paramrz formulao of obrvr ga mar volv compuaoal comply u o rqurm of prrm g paramr. full-orr obrvr a guara poal ably of rror yamc ym a b cor by Wag al. wr y vlop a mar quao approac o olv problm. al. 4 ar problm of guara co corol for a cla of ural lay ym by ug a obrvr-ba mmory a-fback corollr. ark 4 vlop a obrvr-ba corollr for a cla of lar ffral ym of ural yp. Howvr o of ablzao crro gv ark 4 for c of
2 obrvr-ba corollr ca o b pr form of lar mar qual. mpl a mar qual for ablzao crra cao b olv mulaouly by ug cov opmzao mo. oly way o pu om aoal coo orr o covr mar qual o lar mar qual LMI. Howvr uao may uc aoal corvam o ym. I papr w cor obrvr-ba mmoryl a-fback corollr g problm for a cla of m lay ym of ural yp. lay a a a rvav aum o b coa. full-orr a-obrvr coruc a bo rror yamc a clo-loop ym yamc ar ak o corao. layp ablzao crro oba rm of a lar mar qualy. Ulk mo of ark 4 our ablzao crro ca b aly olv by LMI opmzao cqu LMI corol oolbo w o rqurm o mak furr aumpo. umrcal ampl gv orr o mora ulzao of obrvr-ba ablzao mo propo o. om umrcal mulao ar alo pr.. OBLEM EMEN L u cor a cla of lar ural m lay ym of followg form: Bu y F w al coo fuco wr [ ] θ Φ θ θ a vcor; corol pu vcor; y u m p oupu vcor; m p B F ar coa kow ym marc; ar kow ogav coa calar og ural a cr lay rpcvly; ma a Φ gv cououly ffrabl fuco o [ ]. umpo. W aum a par B a ar corollabl a obrvabl rpcvly. L u f followg yp of a opraor a 3 follow from Lmma gv by Ivacu al. 3 a opraor guara o b abl f mar abl of cur- o. Morovr uao alo abl o aur ably of 3 for ay ural m-lay afyg <. W ca cor followg yp of a full-orr mmory a-obrvr for ym crb Bu L[ y F 4 ] a w coo a-fback corol law a follow u K 5 wr ma a vcor; m K coa fback ga mar a p L coa obrvr-ga mar o b lc. I orr o oba rror yamc w ca f mao rror a 6 wr mao rror vcor. w ca formula rror yamc a follow Bu [ 7 Bu ] or w ca rwr 7 form of ural yp lay-ffral quao a 8 Morovr ubug corol law 5 o ym gv clo-loop ym yamc a [ ] objcv of papr o g a obrvrba a-fback corollr u for ural ym uc a rror yamc 7 a rulg clo-loop ural ym 9 ar aympocally abl. 3. MIN EUL 9 I co w vlop a lay-p crro pr form of a lar mar qualy aurg aympoc ablzably of ural lay-ffral ym w mmory obrvr-ba a-fback corollr 5. followg orm ummarz ma rul of o. orm. Gv a ogav coa calar α > f r ymmrc a pov f marc X a a arbrary mar W a arbrary vcor K all w appropra mo afyg Σ < wr Σ X X α αk B α Σ Σ α X Σ 3 3 Σ X α α Σ Σ α Σ Σ α Σ Σ XB Σ Σ K Σ Σ Σ K 33 Σ Σ 44 F W WF Σ Σ WF Σ Σ 45 Σ Σ K Σ 55 Σ 66 K Σ Σ 6 6
3 Ι Σ 77 Ι Σ 88 Ι Σ 99 Ι Σ Ι Σ. a rmag r ar zro ym aympocally ablzabl w obrvrba corollr K u. roof. L u coo a caa Lyapuov- Kraovk fucoal a 6 wr w bg ymmrc a pov f marc all o b lc appropraly. ompug m rvav of 6 alog a a rror rajcor of 8 a 9 rpcvly yl 3 ubug 9 a rlao of o 3 gv { } { } 4 a w alo compu followg a a mlar mar w oba 4 Ug 7 a rplacg w abov quao gv { } { } 4 7 Fally w g followg rvav ummg up o g a W ca pr quarac rm volvg a rm of a rpcvly. 3 u ubug -3 o yl 4 W ca rwr 4 quarac form a follow χ Ωχ 5 wr [ ] χ Ω Ω Ω 3 3 Ω Ω Ω Ω 4 4 Ω Ω 6 6 Ω 33 Ω Ω 44 Ω Ω Ω Ω Ω Ω. a rmag r ar all zro. Hc orr o guara aympoc ably of ym w mmory obrvr-ba corollr 5 o o afy followg qualy < Ω χ χ
4 wc mpl a Ω < 6 No a mar qualy gv 6 o form of lar mar qual. W ca mploy mar compoo cqu Barolomu al. 997 o b abl o rpr 6 form of a lar mar qualy. Gv a coa ogav calar α > w aum a co uc ab compo a α Ι X 7 wr X a ymmrc a pov f mar. w ca rcompu r of Ω a volv by ubug 7 appropraly X X α αk B α K B X X a X α α X a α X a α X a α X. Now w ca rwr 6 by ubug abov pro o oba Ω Φ Γ Γ < 8 wr Φ X X α αk B α Φ Φ α X Φ Φ 3 3 Φ Φ α Φ Φ α Φ 33 X α α Φ 6 Φ 44 Φ Φ Φ Φ Φ 55 Φ Γ X 66 Γ 3 X Γ 4 X Γ 6 X a rmag r of Φ a Γ ar all zro. No a w ca rpr Γ followg um of prouc rm 4 Γ Γ Γ 9 wr Γ B X K [ ] [ ] [ ] [ K] Γ Γ K Γ K 3 4 Γ. W ca ulz Lmma gv Wag a follow: Γ Γ 4Γ Γ Γ Γ Γ Γ Γ Γ Γ Γ ubug 3 appropraly o 8 allow o g Φ Γ Γ < Φ 4Γ Γ wr Π Γ Γ Γ Γ Γ Γ Γ Γ Π < X X α αk B α 4 XBB X K K Π Φ Π Φ Π Φ Π Φ 6 6 Π Φ Π Φ K K Π Φ K K Π Φ Π Φ Π Φ Π Φ K K. oog a arbrary mar W uc a L W 3 a ug cur complm Boy al. 994 w ca rpr 3 a a mar qualy form gv by. If coo af ym 7 9 ar guara o b aympocally abl. Hc proof compl. mark. No a qualy form of a lar mar qualy wc ca b aly olv ug ror po algorm Boy al mark. problm of ow o coo calar paramr α ca b al by coog rpaly arbrary pov valu for α ul LMI corol oolbo a gv fabl oluo for LMI. 4. NUMEIL EXMLE I co w cor a umrcal ampl orr o mora ffcv of propo g approac. Eampl. or followg lar ural ym: Bu 33 y F w B F [ ]..3 W fr coo α 5 a olv w rorpo algorm LMI corol oolbo. fabl oluo ar oba a follow X W K [ ] L..397 For mulao ca uy w co ural a cr lay a c a 3c
5 rpcvly a ug g paramr K a L prov by LMI corol oolbo w oba plc yamc quao for clo-loop ym a mao rror ra pro qu low a raply covrg o zro aya. acual a ma gal for ar ow Fgur 3 wr a mlar prformac w a of oc mao of. rfor mulao rul ca a propo lay-p obrvr-ba corollr b a afacory prformac. a mlarly w g a-obrvr yamc quao mulao ca uy a b carr ou w ma a-fback corol pu gal wc ca b Fgur. Fgur pc rpo of acual a ma gal for. Fgur 3. po of acual a ma gal rpcvly. 5. ONLUION Fgur. Ipu gal u. I papr mmory obrvr-ba ablzably problm of a cla of ural mlay ym ar. Ba o Lbz- Nwo mol raformao a Lyapuov quarac ably ory a w lay-p lar mar qualy form of ablzao crro a ur aympoc ably of bo rror yamc a clo-loop ym yamc oba. Ulk a rcly gv mo by ark 4 propo ablzably coo for c of a mmory obrvr-ba corollr ca b rcly olv ug ffcv ror-po algorm. EFEENE Fgur. po of acual a ma gal rpcvly. Bouayb M.. Obrvr g for lar m lay ym. ym a corol Lr Boy. L. El-Gaou E. Fro a. Balakra 994. Lar Mar Iqual ym a corol ory IM u ppl Mamac Nw York. B. J. Lam a. Xu 4. Nw obrvrba guara co corol for ural lay ym. roc. I. Mc. Egr: Joural of ym a orol Egrg Hou M.. k a.j. ao. obrvr g for lar m-lay ym. IEEE raaco o uomac orol Goub-Barolomu. M. ambr a J.. car 997. ably of prurb ym
6 w m-varyg lay. ym a orol Lr Ivacu..-I. Nculcu L. ugar J-M. o a E.I. rr 3. O lay-p ably for lar ural ym. uomaca Mamou M.. a M. rb 3. Guara co obrvr-ba corol of ucram-lag ym. ompur a Elcrcal Egrg ark J.H. 4. O g of obrvr-ba corollr of lar ural lay-ffral ym. ppl Mamac a ompuao ark J.H. 3a. Guara co ablzao of ural ffral ym w paramrc ucray. Joural of ompuaoal a ppl Mamac ark J.H. 3b. obu guara co corol for ucra lar ffral ym of ural yp. ppl Mamac a ompuao r H. M. l a. Naava 4. obrvr g procur for a cla of olar m-lay ym. ompur a Elcrcal Egrg r H Lar fucoal a obrvr for m-lay ym. Iraoal Joural of orol Xu. J. Lam J. Wag a G.-H. Yag 4. No-fragl pov ral corol for ucra lar ural lay ym. ym a corol Lr Xu. J. Lam. Yag a E.I. rr 3. LMI approac o guara co corol for ucra lar ural lay ym. Iraoal Joural of obu a Nolar orol Xu. J. Lam a. Yag. obu ably aaly a ablzao for ucra ural lay ym. Iraoal Joural of ym cc Wag. a H. Ubau. Nolar obrvr for a cla of couou-m ucra a-lay ym. Iraoal Joural of ym cc Wag... Gooall a K.J. Buram. O gg obrvr for m-lay ym w olar urbac. Iraoal Joural of orol Wag. J. Lam a K.J. Buram. ably aaly a obrvr g for ural lay ym. IEEE raaco o uomac orol
An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair
Mor ppl Novmbr 8 N-Compo r Rparabl m h Rparma Dog Ohr ork a ror Rpar Jag Yag E-mal: jag_ag7@6om Xau Mg a uo hg ollag arb Normal Uvr Yaq ua Taoao ag uppor b h Fouao or h aural o b prov o Cha 5 uppor b h
More informationImproved Exponential Estimator for Population Variance Using Two Auxiliary Variables
Improvd Epoal Emaor for Populao Varac Ug Two Aular Varabl Rajh gh Dparm of ac,baara Hdu Uvr(U.P., Ida (rgha@ahoo.com Pakaj Chauha ad rmala awa chool of ac, DAVV, Idor (M.P., Ida Flor maradach Dparm of
More informationHence, Consider the linear, time-varying system with state model. y( t) u(t) H(t, )
Df. h mpul rpo mar of a lar, lumpd, m-varyg ym a mar map H, : RR R rm gv by H, = [h,,, h m, ], whr ach colum h, rpr h rpo of h ym o h mpulv pu u = -, R m, = [ ] occur a h h compo, h m of applcao of h pu
More informationAmerican International Journal of Research in Science, Technology, Engineering & Mathematics
Ara raoal oral of ar S oloy r & aa Avalabl ol a //wwwar SSN Pr 38-349 SSN Ol 38-358 SSN D-O 38-369 AS a rfr r-rvw llary a o a joral bl by raoal Aoao of Sf ovao a ar AS SA A Aoao fy S r a Al ar oy rao ra
More informationImproved Exponential Estimator for Population Variance Using Two Auxiliary Variables
Rajh gh Dparm of ac,baara Hdu Uvr(U.P.), Ida Pakaj Chauha, rmala awa chool of ac, DAVV, Idor (M.P.), Ida Flor maradach Dparm of Mahmac, Uvr of w Mco, Gallup, UA Improvd Epoal Emaor for Populao Varac Ug
More informationOption Pricing in a Fractional Brownian Motion Environment
Opo Pcg a acoal owa Moo vom Cpa Ncula Acamy o coomc u ucha, omaa mal: cpc@yahoo.com h a: buay, Abac h pupo o h pap o oba a acoal lack-chol omula o h pc o a opo o vy [, ], a acoal lack-chol quao a a k-ual
More informationBy Joonghoe Dho. The irradiance at P is given by
CH. 9 c CH. 9 c By Joogo Do 9 Gal Coao 9. Gal Coao L co wo po ouc, S & S, mg moocomac wav o am qucy. L paao a b muc ga a. Loca am qucy. L paao a b muc ga a. Loca po obvao P a oug away om ouc o a a P wavo
More informationA Simple Representation of the Weighted Non-Central Chi-Square Distribution
SSN: 9-875 raoa Joura o ovav Rarch Scc grg a Tchoogy (A S 97: 7 Cr rgaao) Vo u 9 Sbr A S Rrao o h Wgh No-Cra Ch-Squar Drbuo Dr ay A hry Dr Sahar A brah Dr Ya Y Aba Proor D o Mahaca Sac u o Saca Su a Rarch
More informationTHE STOCHASTIC SEASONAL BEHAVIOR OF THE NATURAL GAS PRICE
E SOCASIC SEASONAL BEAVIOR OF E NAURAL GAS PRICE. Irouco Aré García ra Fracco Javr Poblacó García Prlmary Draf Ju-5 Acamc a pracor hav b rcly payg ao o a facal grg u: h valuao a hgg of commoy cog clam.
More informationAnouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent
oucms Couga Gas Mchal Kazha (6.657) Ifomao abou h Sma (6.757) hav b pos ol: hp://www.cs.hu.u/~msha Tch Spcs: o M o Tusay afoo. o Two paps scuss ach w. o Vos fo w s caa paps u by Thusay vg. Oul Rvw of Sps
More informationAlmost unbiased exponential estimator for the finite population mean
Almos ubasd poal smaor for f populao ma Rajs Sg, Pakaj aua, ad rmala Saa, Scool of Sascs, DAVV, Idor (M.P., Ida (rsgsa@aoo.com Flor Smaradac ar of Dparm of Mamacs, Uvrs of Mco, Gallup, USA (smarad@um.du
More informationEE Control Systems LECTURE 11
Up: Moy, Ocor 5, 7 EE 434 - Corol Sy LECTUE Copyrigh FL Lwi 999 All righ rrv POLE PLACEMET A STEA-STATE EO Uig fc, o c ov h clo-loop pol o h h y prforc iprov O c lo lc uil copor o oi goo y- rcig y uyig
More informationA 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 informationSurvival Analysis for Randomized Clinical Trials II Cox Regression. Ziad Taib Biostatistics AstraZeneca February 26, 2008
Survval alyss for Raomz Clcal rals II Cox Rgrsso a ab osascs sraca Fbruary 6, 8 la Irouco o proporoal azar mol H aral lkloo Comparg wo groups umrcal xampl Comparso w log-rak s mol xp z + + k k z Ursag
More informationEMPIRICAL STUDY IN FINITE CORRELATION COEFFICIENT IN TWO PHASE ESTIMATION
MPIRIAL TDY I FIIT ORRLATIO OFFIIT I TWO PHA TIMATIO M. Khohva Lcurr Grffh vry chool of Accoug ad Fac Aurala. F. Kaymarm Aa Profor Maachu Iu of Tchology Dparm of Mchacal grg A; currly a harf vry Thra Ira.
More informationLecture 12: Introduction to nonlinear optics II.
Lcur : Iroduco o olar opcs II r Kužl ropagao of srog opc sgals propr olar ffcs Scod ordr ffcs! Thr-wav mxg has machg codo! Scod harmoc grao! Sum frqucy grao! aramrc grao Thrd ordr ffcs! Four-wav mxg! Opcal
More informationCONSTACYCLIC CODES OF LENGTH OVER A FINITE FIELD
Jorl o Algbr Nbr Tory: Ac Alco Vol 5 Nbr 6 Pg 4-64 Albl ://ccc.co. DOI: ://.o.org/.864/_753 ONSTAYLI ODES OF LENGTH OVER A FINITE FIELD AITA SAHNI POONA TRAA SEHGAL r or Ac Sy c Pb Ury gr 64 I -l: 5@gl.co
More informationLinear System Review. Linear System Review. Descriptions of Linear Systems: 2008 Spring ME854 - GGZ Page 1
8 Sprg ME854 - Z Pg r Sym Rvw r Sym Rvw r Sym Rvw crpo of r Sym: p m R y R R y FT : & U Y Trfr Fco : y or : & : d y d r Sym Rvw orollbly d Obrvbly: fo 3.: FT dymc ym or h pr d o b corollbl f y l > d fl
More informationP a g e 3 6 of R e p o r t P B 4 / 0 9
P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J
More informationControl Systems. Transient and Steady State Response.
Corol Sym Trai a Say Sa Ro chibum@oulch.ac.kr Ouli Tim Domai Aalyi orr ym Ui ro Ui ram ro Ui imul ro Chibum L -Soulch Corol Sym Tim Domai Aalyi Afr h mahmaical mol of h ym i obai, aalyi of ym rformac i.
More informationFractal diffusion retrospective problems
Iraoa ora o App Mahac croc a Copr Avac Tchoo a Scc ISSN: 47-8847-6799 wwwaccor/iamc Ora Rarch Papr Fraca o rropcv prob O Yaro Rcv 6 h Ocobr 3 Accp 4 h aar 4 Abrac: I h arc w h rropcv vr prob Th rropcv
More informationDesign of Fuzzy Sliding-Mode Controller for Chaos Synchronization
Dsg o Fuzzy Slg-Mo Corollr or Chaos Syhrozao Chao-L Kuo Chg-Sho Shh Cha-Hug L a Shu-Pg Shh 3 No. 49 Jug-Hua Roa Hs-Shh Towshp Taa Couy 744 Tawa R.O.C. Dparm o Elral Egrg Far-Eas Uvrsy lkuo@.u.u.w Lu-Chu
More informationLecture 6 - SISO Loop Analysis
Lctr 6 - IO Loop Aal IO gl Ipt gl Otpt Aal: tablt rformac Robt EE39m - Wtr 003 otrol Egrg 6- ODE tablt Lapo tablt thor - olar tm tablt fto frt rct mtho xpotal corgc co mtho: Lapo fcto gralzato of rg pato
More informationGauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year
Gau Thors Elmary Parcl Physcs Sro Iraco Fomoloy o Bo cadmc yar - Gau Ivarac Gau Ivarac Whr do Laraas or Hamloas com from? How do w kow ha a cra raco should dscrb a acual hyscal sysm? Why s h lcromac raco
More informationT h e C S E T I P r o j e c t
T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T
More informationChapter 7 Stead St y- ate Errors
Char 7 Say-Sa rror Inroucon Conrol ym analy an gn cfcaon a. rann ron b. Sably c. Say-a rror fnon of ay-a rror : u c a whr u : nu, c: ouu Val only for abl ym chck ym ably fr! nu for ay-a a nu analy U o
More informationP a g e 5 1 of R e p o r t P B 4 / 0 9
P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e
More informationThe far field calculation: Approximate and exact solutions. Persa Kyritsi November 10th, 2005 B2-109
Th fa fl calculao: Appoa a ac oluo Pa K Novb 0h 005 B-09 Oul Novb 0h 005 Pa K Iouco Appoa oluo flco fo h gou ac oluo Cocluo Pla wav fo Ic fl: pla wav k ( ) jk H ( ) λ λ ( ) Polaao fo η 0 0 Hooal polaao
More informationControl Systems (Lecture note #6)
6.5 Corol Sysms (Lcur o #6 Las Tm: Lar algbra rw Lar algbrac quaos soluos Paramrzao of all soluos Smlary rasformao: compao form Egalus ad gcors dagoal form bg pcur: o brach of h cours Vcor spacs marcs
More informationOverview. Introduction Building Classifiers (2) Introduction Building Classifiers. Introduction. Introduction to Pattern Recognition and Data Mining
Ovrv Iroduco o ar Rcogo ad Daa Mg Lcur 4: Lar Dcra Fuco Irucor: Dr. Gova Dpar of Copur Egrg aa Clara Uvry Iroduco Approach o uldg clafr Lar dcra fuco: dfo ad urfac Lar paral ca rcpro crra Ohr hod Lar Dcra
More informationAlgorithms to Solve Singularly Perturbed Volterra Integral Equations
Avalabl a hp://pvamudu/aam Appl Appl Mah ISSN: 9-9 Vol Issu Ju pp 9-8 Prvousl Vol Issu pp Applcaos ad Appld Mahmacs: A Iraoal Joural AAM Algorhms o Solv Sgularl Prurbd Volrra Igral Equaos Marwa Tasr Alqura
More informationH OBSERVER DESIGN FOR A CLASS OF TIME-DELAY NONLINEAR SYSTEMS WITH EXTERNAL DISTURBANCE
H OSEE DESGN FO CSS OF ME-DEY NONNE SYSEMS H EXEN DSUNCE H, a G a 3 School o ormaio Scic & Eiri, Norhar Uivriy, Shya, iaoi, 89, Chia School o uomaio a Elcroic ormaio, Sichua Uivriy o Scic & Eiri, Zio,
More informationNew 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 informationConvolution of Generated Random Variable from. Exponential Distribution with Stabilizer Constant
Appld Mamacal Scc Vol 9 5 o 9 78-789 HIKARI Ld wwwm-acom p://dxdoog/988/am5559 Covoluo of Gad Radom Vaabl fom Expoal Dbuo w Sablz Coa Dod Dvao Maa Lufaa Oaa ad Maa Aa Dpam of Mamac Facul of Mamac ad Naual
More informationLevel of Service Snow and Ice Control operations are intended to provide a reasonably safe traveling surface, not bare or dry pavement.
C f v Sw Ic C P Ju 2017 Iuc I g f C f v v, ffc c-ffcv w c, w v c c ww C f v. T vc v f f bf f C ubc vg w c. T u f Sw Ic C P cb C w v g, g cu v f vc g. u w vb Og w, c / w v qu ff ff ub f c, wc, v w c, w
More informationHow to construct international inputoutput
How to construct international inputoutput tables (with the smallest effort) Satoshi Inomata Institute of Developing Economies JETRO OVERVIEW (1) Basic picture of an international input-output table (IIOT)
More informationDelay-Dependent State Estimation for Time Delay Systems
WSEAS TRANSACTIONS o SYSTEMS ad CONTROL Mohammad Al Pakzad, Bja Moav Dlay-Dpd Sa Esmao for Tm Dlay Sysms MOHAMMAD ALI PAKZAD Dparm of Elcrcal Egrg Scc ad Rsarch Brach, Islamc Azad Uvrsy Thra IRAN m.pakzad@srbau.ac.r
More informationCHARACTERIZATION FROM EXPONENTIATED GAMMA DISTRIBUTION BASED ON RECORD VALUES
CHARACTERIZATION RO EPONENTIATED GAA DISTRIBUTION BASED ON RECORD VAUES A I Sh * R A Bo Gr Cog o Euo PO Bo 55 Jh 5 Su Ar Gr Cog o Euo Dr o h PO Bo 69 Jh 9 Su Ar ABSTRACT I h r u h or ror u ro o g ruo r
More informationLM A F LABL Y H FRMA H P UBLCA B LV B ACCURA ALL R PC H WVR W C A AU M RP BLY FR AY C QUC RUL G F RM H U HR F H FRMA C A HR UBJC CHA G WHU C R V R W H
H R & C C M RX700-2 Bx C LM A F LABL Y H FRMA H P UBLCA B LV B ACCURA ALL R PC H WVR W C A AU M RP BLY FR AY C QUC RUL G F RM H U HR F H FRMA C A HR UBJC CHA G WHU C R V R W H PUBLCA M AY B U CRP RA UCH
More informationIntroduction to Laplace Transforms October 25, 2017
Iroduco o Lplc Trform Ocobr 5, 7 Iroduco o Lplc Trform Lrr ro Mchcl Egrg 5 Smr Egrg l Ocobr 5, 7 Oul Rvw l cl Wh Lplc rform fo of Lplc rform Gg rform b gro Fdg rform d vr rform from bl d horm pplco o dffrl
More informationImproved Bounds on the List Decreasing Heuristic for the Vertex Cover Problem
0 Naoal our Sou Irov Bou o h L crag Hurc for h Vrx ovr Probl Ta-Pao huag of SIE Naoal Tawa Noral Uvr a hg Yu Uvr Eal: chuag@cuuw Shu-Sh L of SIE Naoal Tawa Noral Uvr Eal: l@cuuw Abrac Th l crag hurc for
More informationDesign and Analysis of Algorithms (Autumn 2017)
Din an Analyi o Alorim (Auumn 2017) Exri 3 Soluion 1. Sor pa Ain om poiiv an naiv o o ar o rap own low, o a Bllman-For in a or pa. Simula ir alorim a ru prolm o a layr DAG ( li), or on a an riv rom rurrn.
More informationCHAPTER: 3 INVERSE EXPONENTIAL DISTRIBUTION: DIFFERENT METHOD OF ESTIMATIONS
CHAPTER: 3 INVERSE EXPONENTIAL DISTRIBUTION: DIFFERENT METHOD OF ESTIMATIONS 3. INTRODUCTION Th Ivrs Expoal dsrbuo was roducd by Kllr ad Kamah (98) ad has b sudd ad dscussd as a lfm modl. If a radom varabl
More informationBMM3553 Mechanical Vibrations
BMM3553 Mhaial Vibraio Chapr 3: Damp Vibraio of Sigl Dgr of From Sym (Par ) by Ch Ku Ey Nizwa Bi Ch Ku Hui Fauly of Mhaial Egirig mail: y@ump.u.my Chapr Dripio Ep Ouom Su will b abl o: Drmi h aural frquy
More informationMathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem
Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao
More informationChapter 5 Transmission Lines
ap 5 ao 5- aacc of ao ao l: a o cou ca cu o uppo a M av c M o qua-m o. Fo M o a H M H a M a µ M. cu a M av av ff caacc. A M av popaa o ff lcc a paal flco a paal ao ll occu. A ob follo ul. ll la: p a β
More informationFL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee.
B Pror NTERV FL/VAL ~RA1::1 1 21,, 1989 i n or Socil,, fir ll, Pror Fr rcru Sy Ar you lir SDC? Y, om um SM: corr n 'd m vry ummr yr. Now, y n y, f pr my ry for ummr my 1 yr Un So vr ummr cour d rr o l
More information8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system
8. Quug sysms Cos 8. Quug sysms Rfrshr: Sml lraffc modl Quug dscl M/M/ srvr wag lacs Alcao o ack lvl modllg of daa raffc M/M/ srvrs wag lacs lc8. S-38.45 Iroduco o Tlraffc Thory Srg 5 8. Quug sysms 8.
More informationSeries of New Information Divergences, Properties and Corresponding Series of Metric Spaces
Srs of Nw Iforao Dvrgcs, Proprs ad Corrspodg Srs of Mrc Spacs K.C.Ja, Praphull Chhabra Profssor, Dpar of Mahacs, Malavya Naoal Isu of Tchology, Japur (Rajasha), Ida Ph.d Scholar, Dpar of Mahacs, Malavya
More informationMaarten C.W. Janssen 1,2 Vladimir A. Karamychev 1
TI 7-/ Tbrg Iu Dcuo Papr Do Auco lc Effc Frm? Maar C.W. Ja Vladmr A. Karamychv Eramu Uvr Rordam Tbrg Iu. Tbrg Iu Th Tbrg Iu h u for coomc rarch of h Eramu Uvr Rordam Uvr va Amrdam ad Vr Uvr Amrdam. Tbrg
More informationExistence and Uniqueness of a Solution of Differential Equations with Constant Periodic Operator Coefficients
rca Iraoal Joral o Coorary arc Vol 3 No 4; rl 3 xc ad Uq o a Solo o Dral qao w Coa Prodc raor Coc bab Moa Saly Fac ad drav Dar l- Balqa' ld Uvry BU Jorda brac I ar w abl a or a rov xc ad q o olo o qao
More informationLeast squares and motion. Nuno Vasconcelos ECE Department, UCSD
Las squars ad moo uo Vascoclos ECE Dparm UCSD Pla for oda oda w wll dscuss moo smao hs s rsg wo was moo s vr usful as a cu for rcogo sgmao comprsso c. s a gra ampl of las squars problm w wll also wrap
More informationPhysics 160 Lecture 3. R. Johnson April 6, 2015
Physics 6 Lcur 3 R. Johnson April 6, 5 RC Circui (Low-Pass Filr This is h sam RC circui w lookd a arlir h im doma, bu hr w ar rsd h frquncy rspons. So w pu a s wav sad of a sp funcion. whr R C RC Complx
More informationReliability Mathematics Analysis on Traction Substation Operation
WSES NSCIONS o HEICS Hoh S lal aha al o rao Sao Orao HONSHEN SU Shool o oao a Elral Er azho Jaoo Ur azho 77..CHIN h@6.o ra: - I lr ralwa rao owr l h oraoal qal a rlal o h a rao raorr loo hhr o o o oaral
More informationModern Topics in Solid-State Theory: Topological insulators and superconductors
Mor Topc ol-a Thor: Topolocal ulaor uprcoucor ra P. chr Ma-Plac-Iu für örprforchu, uar Uvrä uar Jauar 6 Topolocal ulaor uprcoucor. Topolocal b hor - Wha opolo? - H mol polacl) - hr ulaor IQH. Topolocal
More informationServer breakdown and repair, Multiple vacation, Closedown, Balking and Stand-by server.
OR Jor of Mhc OR-JM -N: 78-578 -N: 9-765 o 6 r No - Dc6 56-74 ororor A G M h o hroo rc rr ro rr M co oo - rr GA r Dr of Mhc ochrr Er o chrr Arc: Th oc of h r o h hor of h rr ro rr M G h o hroo rc co coo
More information1973 AP Calculus BC: Section I
97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f
More informationInstructors 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 informationMulti-fluid magnetohydrodynamics in the solar atmosphere
Mul-flud magohydrodyams h solar amoshr Tmuraz Zaqarashvl თეიმურაზ ზაქარაშვილი Sa Rsarh Isu of Ausra Aadmy of Ss Graz Ausra ISSI-orksho Parally ozd lasmas asrohyss 6 Jauary- Fbruary 04 ISSI-orksho Parally
More information11/8/2002 CS 258 HW 2
/8/ CS 58 HW. G o a a qc of aa h < fo a I o goa o co a C cc c F ch ha F fo a I A If cc - c a co h aoa coo o ho o choo h o qc? I o g o -coa o o-coa? W ca choo h o qc o h a a h aa a. Tha f o o a h o h a:.
More informationChapter 5 Transient Analysis
hpr 5 rs Alyss Jsug Jg ompl rspos rs rspos y-s rspos m os rs orr co orr Dffrl Equo. rs Alyss h ffrc of lyss of crcus wh rgy sorg lms (ucors or cpcors) & m-ryg sgls wh rss crcus s h h quos rsulg from r
More informationMINIMUM ENERGY CONTROL OF FRACTIONAL POSITIVE ELECTRICAL CIRCUITS. Tadeusz Kaczorek
MINIMUM ENEGY CONO OF FACIONA POSIIVE EECICA CICUIS ausz Kaczor alyso Uvrsy o chology Faculy o Elcrcal Egrg jsa 45D 5-5 alyso -al: aczor@sppwupl ASAC Mu rgy corol probl or h racoal posv lcrcal crcus s
More informationEE243 Advanced Electromagnetic Theory Lec # 10: Poynting s Theorem, Time- Harmonic EM Fields
Appl M Fall 6 Nuruhr Lcur # r 9/6/6 4 Avanc lcromagnc Thory Lc # : Poynng s Thorm Tm- armonc M Fls Poynng s Thorm Consrvaon o nrgy an momnum Poynng s Thorm or Lnar sprsv Ma Poynng s Thorm or Tm-armonc
More informationThe 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 informationSURVIVABILITY AND RELIABILITY ANALYSIS OF THE TRUSTED LINK STATE ROUTING PROTOCOL FOR WIRELESS AD HOC NETWORKS
Iraoal Joural of Wrl & Mobl Nwork IJWMN Vol. 3, No., Aprl URVIVABILITY AND RELIABILITY ANALYI OF THE TRUTED LINK TATE ROUTING ROTOCOL FOR WIRELE AD HOC NETWORK Eyad Taqdd, A Mllr, ad. Jagaaha Dparm of
More informationNaive Parameter Estimation Technique of Equity Return Models Based on Short and Long Memory Processes
6 pp.-6 004 Naiv Paramr Eimaio Tchiqu of Equiy Rur Mol Ba o Shor a Log Mmory Proc Koichi Miyazai Abrac Th aalyi o variac of Japa quiy rur from h poi of obrvaio irval i qui fw hough i i impora i maagig
More informationk of the incident wave) will be greater t is too small to satisfy the required kinematics boundary condition, (19)
TOTAL INTRNAL RFLTION Kmacs pops Sc h vcos a coplaa, l s cosd h cd pla cocds wh h X pla; hc 0. y y y osd h cas whch h lgh s cd fom h mdum of hgh dx of faco >. Fo cd agls ga ha h ccal agl s 1 ( /, h hooal
More informationThe Method of Steepest Descent for Feedforward Artificial Neural Networks
IOSR Joural o Mahac (IOSR-JM) -ISSN: 78-578, p-issn:39-765x. Volu, Iu Vr. II. (F. 4), PP 53-6.oroural.org Th Mhod o Sp Dc or Fdorard Arcal Nural Nor Muhaad Ha, Md. Jah Udd ad Md Adul Al 3 Aoca Proor, Dpar
More informationNeutrosophic Hyperideals of Semihyperrings
Nuooph m Vol. 06 05 Uv o Nw Mo Nuooph Hpl o mhpg D Ml Dpm o Mhm j P Moh Collg Up Hooghl-758 mljumh@gml.om A. h pp w hv ou uooph hpl o mhpg o om opo o hm o u oo pop. Kwo: C Pou Compoo l o Nuooph mhpmg.
More informationx xi r 0. The most popular RBFs are given as follows: IUST International Journal of Engineering Science, Vol. 19, No.5-2, 2008, Page 21-26
IST Iol Jol of Egg S Vol 9 o5-8 Pg -6 O THE MERICAL SOLTIO OF OE IMESIOAL SCHROIGER EQATIO WITH OARY COITIOS IVOLVIG FRACTIOAL IFFERETIAL OPERATORS Jzb & M Mo Ab: I pp w y of olloo mo w Rl Fo o olv o mol
More informationAnalysis 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 informationVelocity Projection with Upwind Scheme Based on the Discontinuous Galerkin Methods for the Two Phase Flow Problem
raoal Joural of Mor Nolar Tory a Applao 5 4 7-4 Publs Ol Ju 5 Rs. p://.srp.org/joural/jma p://x.o.org/.436/jma.5.49 Vloy Projo Up m Bas o Dsouous Galr Mos for To Pas Flo Problm Jagyog Hou Wjg Ya * J C
More information1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp
Jourl o Al-Qus Op Uvrsy or Rsrch Sus - No.4 - Ocobr 8 Rrcs: - I. M. ALGHROUZ: A Nw Approch To Frcol Drvvs, J. AOU, V., 7, pp. 4-47 - K.S. Mllr: Drvvs o or orr: Mh M., V 68, 995 pp. 83-9. 3- I. PODLUBNY:
More informationPoisson process Markov process
E2200 Quuing hory and lraffic 2nd lcur oion proc Markov proc Vikoria Fodor KTH Laboraory for Communicaion nwork, School of Elcrical Enginring 1 Cour oulin Sochaic proc bhind quuing hory L2-L3 oion proc
More informationConventional Hot-Wire Anemometer
Convnonal Ho-Wr Anmomr cro Ho Wr Avanag much mallr prob z mm o µm br paal roluon array o h nor hghr rquncy rpon lowr co prormanc/co abrcaon roc I µm lghly op p layr 8µm havly boron op ch op layr abrcaon
More informationAQUIFER DRAWDOWN AND VARIABLE-STAGE STREAM DEPLETION INDUCED BY A NEARBY PUMPING WELL
Pocing of h 1 h Innaional Confnc on Enionmnal cinc an chnolog Rho Gc 3-5 pmb 15 AUIFER DRAWDOWN AND VARIABE-AGE REAM DEPEION INDUCED BY A NEARBY PUMPING WE BAAOUHA H.M. aa Enionmn & Eng Rach Iniu EERI
More informationInternational Journal of Pure and Applied Sciences and Technology
I. J. Pur Al. S. Thol.. 4-6 Iraoal Joural o Pur ad Ald S ad Tholog ISSN 9-67 Avalabl ol a www.joaaa. Rarh Par Blaral Lala-Mll Igral Traorm ad Alao S.M. Kharar * R.M. P ad J. N. Saluk 3 Darm o Egrg Mahma
More informationEE 232 Lightwave Devices. Photodiodes
EE 3 Lgwav Dvcs Lcur 8: oocoucors a p-- ooos Rag: Cuag, Cap. 4 Isrucor: Mg C. Wu Uvrsy of Calfora, Brkly Elcrcal Egrg a Compur Sccs Dp. EE3 Lcur 8-8. Uvrsy of Calfora oocoucors ω + - x Ara w L Euval Crcu
More informationEstimators for Finite Population Variance Using Mean and Variance of Auxiliary Variable
Itratoal Jal o Probablt a tattc 5 : - DOI:.59/j.jp.5. tmat Ft Poplato Varac U Ma a Varac o Alar Varabl Ph Mra * R. Kara h Dpartmt o tattc Lcow Urt Lcow Ia Abtract F tmat t poplato arac mato o l alar arabl
More informationNAME: 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 informationECEN620: Network Theory Broadband Circuit Design Fall 2014
ECE60: work Thory Broadbad Circui Dig Fall 04 Lcur 6: PLL Trai Bhavior Sam Palrmo Aalog & Mixd-Sigal Cr Txa A&M Uivriy Aoucm, Agda, & Rfrc HW i du oday by 5PM PLL Trackig Rpo Pha Dcor Modl PLL Hold Rag
More informationApproximate Integration. Left and Right Endpoint Rules. Midpoint Rule = 2. Riemann sum (approximation to the integral) Left endpoint approximation
M lculus II Tcqus o Igros: Approm Igro -- pr 8.7 Approm Igro M lculus II Tcqus o Igros: Approm Igro -- pr 8.7 7 L d Rg Edpo Ruls Rm sum ppromo o grl L dpo ppromo Rg dpo ppromo clculus ppls d * L d R d
More informationConsider a system of 2 simultaneous first order linear equations
Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm
More informationWOODS HOLE ROAD
R R B R R C M B, RM, R R B R CP & R, C 477 P U U UC M R MP UR R PR R PR, MUC R PUBC C M R UP RM C R; RM PRPR CP R, C CPR (C) B CP & R, C R RR U R U M M C C CM C M R C B RC P U R CCR R CP R PP U UK CB M
More informationAnalytical Evaluation of Multicenter Nuclear Attraction Integrals for Slater-Type Orbitals Using Guseinov Rotation-Angular Function
I. J. Cop. Mh. S Vo. 5 o. 7 39-3 Ay Evuo of Mu u Ao Ig fo S-yp O Ug Guov Roo-Agu uo Rz Y M Ag Dp of Mh uy of uo fo g A-Khj Uvy Kgo of Su A Dp of Mh uy of S o B Auh Uvy Kgo of Su A A. Ug h Guov oo-gu fuo
More informationPart I- Wave Reflection and Transmission at Normal Incident. Part II- Wave Reflection and Transmission at Oblique Incident
Apl 6, 3 Uboudd Mda Gudd Mda Chap 7 Chap 8 3 mls 3 o 3 M F bad Lgh wavs md by h su Pa I- Wav Rlo ad Tasmsso a Nomal Id Pa II- Wav Rlo ad Tasmsso a Oblqu Id Pa III- Gal Rlao Bw ad Wavguds ad Cavy Rsoao
More informationAlmost Unbiased Exponential Estimator for the Finite Population Mean
Rajs Sg, Pakaj aua, rmala Saa Scool of Sascs, DAVV, Idor (M.P., Ida Flor Smaradac Uvrs of Mco, USA Almos Ubasd Epoal Esmaor for F Populao Ma Publsd : Rajs Sg, Pakaj aua, rmala Saa, Flor Smaradac (Edors
More informationOH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9
OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at
More informationWireless & Hybrid Fire Solutions
ic b 8 c b u i N5 b 4o 25 ii p f i b p r p ri u o iv p i o c v p c i b A i r v Hri F N R L L T L RK N R L L rr F F r P o F i c b T F c c A vri r of op oc F r P, u icoc b ric, i fxib r i i ribi c c A K
More informationLecture 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 informationHow delay equations arise in Engineering? Gábor Stépán Department of Applied Mechanics Budapest University of Technology and Economics
How y quos rs Egrg? Gábor Sépá Dprm of App Ms Bups Ursy of Toogy Eooms Cos Aswr: Dy quos rs Egrg by o of bos by formo sysm of oro - Lr sby bfuros summry - M oo bros - Smmyg ws of rus moorys - Bg um robo
More informationowm and A L T O SOLO 64 Years Nathan W. Blair, a well-known mcnts from the fair association on him. sight. store. We appreciate your business.
BU RK OC < O OO OU XXX RD D O B O C G U R D Y U G U 929 B O B B D 6 Y C G D / / 7 COO/ U C O Y B - C G - C - R 2 ) -» - - - O 2- - -- 7 - C C? - - D O - G [ B - - - C - - 2 - - 7 R B - - - } 2 - q - D
More informationGRAPHS IN SCIENCE. drawn correctly, the. other is not. Which. Best Fit Line # one is which?
5 9 Bt Ft L # 8 7 6 5 GRAPH IN CIENCE O of th thg ot oft a rto of a xrt a grah of o k. A grah a vual rrtato of ural ata ollt fro a xrt. o of th ty of grah you ll f ar bar a grah. Th o u ot oft a l grah,
More informationPositive unstable electrical circuits
Taz KZOEK alyto Uvrty of Tchology Faclty of Elctrcal Egrg Potv tabl lctrcal crct btract: Th tablty for th potv lar lctrcal crct compo of rtor col coator a voltag crrt orc ar ar Thr ffrt cla of th potv
More informationResponse of LTI Systems to Complex Exponentials
3 Fourir sris coiuous-im Rspos of LI Sysms o Complx Expoials Ouli Cosidr a LI sysm wih h ui impuls rspos Suppos h ipu sigal is a complx xpoial s x s is a complx umbr, xz zis a complx umbr h or h h w will
More informationThe Properties of Probability of Normal Chain
I. J. Coep. Mah. Sceces Vol. 8 23 o. 9 433-439 HIKARI Ld www.-hkar.co The Properes of Proaly of Noral Cha L Che School of Maheacs ad Sascs Zheghou Noral Uversy Zheghou Cy Hea Provce 4544 Cha cluu6697@sa.co
More informationLAUREL HILL VERMONT APRIL 2014
MY Y / OVR O OP MP R OP Y R Y K R U M R PK R R OM R P U ROU P O R RMP OO R MP MOU R RR UR R OU V OR V M O OR R OP R R R OO JOV Y V R V OO Y OUR PKY U V O VY MP O R R UR R R O O V R R R R RO Y P Y QU RU
More informationBayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP
By Cly o c o Lo Rc Rg By M Coco L Cl & Pcoc LLP GIRO coc 4 Ac Th pp c how o v cly wgh w po- pc-v o c o lo c. Th po co o Poo-Po ol ch wh po G o. Kywo c o lo c g By cly Poo Po G po Acowlg cl I wol l o h
More informationAR(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 informationMECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals
MECE 330 MECE 330 Masurms & Isrumao Sac ad Damc Characrscs of Sgals Dr. Isaac Chouapall Dparm of Mchacal Egrg Uvrs of Txas Pa Amrca MECE 330 Sgal Cocps A sgal s h phscal formao abou a masurd varabl bg
More information