DMC Based on Weighting Correction of Predictive Model Errors

Size: px
Start display at page:

Download "DMC Based on Weighting Correction of Predictive Model Errors"

Transcription

1 ELKOIK Vol o 4 l 9 ~ -ISS: 87-78X 9 DC Bsd on Wgtng Cocton of dctv odl Eos L n* Sn ong X Fngng Wng o Scool of Elctcl Engnng & Infoton otst tol nvst Dqng Olfld Con Dvlont Stt 99#Go xn Dstct 68 *Cosondng to -l: ln@6co bstct Odn DC coct dctv vl onl sng cnt o so t cocton s not nog s ooss n lgot In o cocton t ntodcs dctv odl o nd dctv vl wgtng coctd to ov t cblt of sstng dstbnc nd gltng sd of t contol sst B totcl nlss nd slton t s bn ovn tt t lgot s ffctv Kwods: DC; dctv odl o; wgtd cocton Cogt nvsts d Dln ll gts svd Intodcton Dnc tx dctv Contol DC s nd of dctv contol ] In 979 Clt fst oosd t Dnc tx Contol lgot n nnl tng of cn Ccl Indst DC lgot ncld dctv odl fdbc cocton nd ollng otzton DC s n dvntgs sc s sl lgot lss cotton nd stong obstnsstc It s v stbl fo non-n s sst wt dd t nd on-loo gdll stblzton ccts So dnc tx dctv contol lgot s wdl ld n t flds of ndst Howv DC cn't solv t contdcton btwn t ffct of t dstbnc on t stbl vl nd t gltng sdnss ng t ts obl t tod of clcltng dcton o fdbc coffcnt bsd on std-stt o nd ts dvtv ws oosd n ltt ] ts tod cn dcs sttc o nd sd dstbnc djstngn o vton coctd dctv contol lgot ws oosd n ltt ] dcton-o flt ws oosd n ltt 4] t dsgn wgtd coffcnt sng ntnl odl ncl Bcs odn DC coct dctv vl onl s cnt o so t cocton s not nog s ooss n lgot In o cocton t ntodc dctv odl o nd dctv vl wgtng coctd to ov t cblt of sstng dstbnc nd gltng sd of t contol sst B totcl nlss nd slton ts tod cn ov nos nt nd dt DC bsd on Wgtd Cocton of t dctd Eos Odn DC DC s dctv odl s dscbd b nt st sons dsct slng dts W s t lngt of t odl Gnllnd t cton of contnos contol ncnt dctv odl ott n t ft of onts s: w ] ] Rcvd Jn 5 ; Rvsd Fb 8 ; cctd c 8

2 -ISS: 87-78X ELKOIK Vol o 4 l : 9 ] tx s clld dnc tx tx lnts st sons coffcnts tt cn dscb sst dnc cctstc s t lngt of contol ozon s t lngt of otzton ozon ] s vos t contol qntt t cn dscb w: n Eqton s: W s: 4 n Eqton s dctv vl odl ott In Eqton s dctv odl ott vctos of t ft onts wt t ffct of s focst t t t s ntlzton vcto of t ft onts wt not t ffct of s lso focst t t t Bcs t ffct of odl o nd ntfnc dctv otts of sst nd b odfd b ctl o on t bss of dctv odl otts fol s s follows ] 4 W s dctv otts of sst ] s o of dctv odl ott t t s o cocton coffcnt n cnt o ] Otl contol gl s dtnd b qdtc fonc ndx ] ] J λ Q ] ] λ Q 5

3 ELKOIK -ISS: 87-78X W s fnc tjcto Q dg q q s o wgt tx λ dg s contol wgt tx Bcs J / So : Q λ Q ] 6 If onl xct t n cnt o nd clclt t contol ncnt of t tn onl nd clclt t fst ow of d Q λ Q nd snc So: Q λ Q ] 7 lgot Iovnt DC cn't solv t contdcton btwn t ffct of t dstbnc on t stbl vl nd t gltng sdnss Wn sst xst nsbl dstbnc o odl o dctv odl ott s nconsstnt wt l ott Coffcnt n Eqton 4 cn l t ol of djstng Bt t coct dctv vl onl sng cnt o t cocton s not nog So DC lgot wt dctv o cocton ws oosd n ts On t bss of DC nw lgot consd not onl t cnt o bt lso t dctv odl o of vos t lgot lz dctv os wgtd cocton s tod ov t cblt of sstng dstbnc nd t gltng sd of t contol sst dtld tods s s follows Fst ntodc t dctv odl o E E ] 8 s dctv ott of t ft onts t s focst t t - t W ] Bcs cn not cot t + t s dctv ott n - t so s oxt to s dctv odl ott of t ft onts t s focst t t - t W s oxt to fol s s follows + ] Scondt os ws wgtd ] f f 9 s t o cocton coffcnt n cnt o Vcto sntton s ] f s t dctv o cocton coffcnt Vcto sntton s f f f f ] f Eqton 4 cn b wttn n not w: E E DC bsd on Wgtng Cocton of dctv odl Eos L n

4 -ISS: 87-78X W s dctv ott of t ft onts t s focst t t t W ] ; s dctv odl ott of t ft onts t s focst t t t W ] ; E s wgtd vl of dctv os nd ctl os W E ] s o cocton tod dots not onl t ctl os n cnt o bt lso t ft os tt focst n vos t s tod cn coct os o coltl nd cn ovco t ffct of ntfnc nd odl stc lgot Slton G s S s slct tnsf fncton S S 6 to std nd nlss s odl s sltd b LB n od to tst t vldt of t lgot In od to std t nt ft t sst stblzton st dstbnc ws ddd n 5s slt s s sown n Fg Cv s slton cv of odn DC cv b s slton cv of ovd DC B coson djstng t of odn DC s s qc tn ovd DC Wn dstbs s djstng t of odn DC s s qc tn ovd DC In t ctl contol oftn t odl stcin ts t lgot n t odl stc s lso sltd nsf fncton s S G S odl S S 6 stc tnsf fncton s S G S ft t sst stblzton st S S 7 dstbnc ws ddd n 5s slt s s sown n Fg Cv s slton cv of odn DC cv b s slton cv of ovd DC B coson wn odl stc ovsoot of odn DC s 7%ovsoot of ovd DC s 7% Wn dstbs s djstng t of odn DC s 6s qc tn ovd DC Fg Slton Rslts wtot odl stc Fg Slton Rslts wt odl stc 4 Conclson s lgot consds t ft dctv o vl nd t os wgtng coctd s tod llow o cocton to b o consvnd nnc t obstnss of t lgot slton slts sow tt t ovd DC lgot s sll ovsoot fst sons sdwn dstbs s t cn qcl tn to t st vl Wn odl stc t cn wll ntn t stblt of t sst ELKOIK Vol o 4 l : 9

5 ELKOIK -ISS: 87-78X Rfncs ] Wng C-x Z Q-qn n Iovd Dnc tx Contol lgot Jonl of otwst nvst fo tonlts 5; 4 ] Z Xfng Hng Dong L ongqng odfd Dnc tx Contol Contol o nd lctons 988; 5: 8-46 ] Cn Gnng n Eo Vton-coctd dctv Contol lgot toton nd Instntton 999; 4] S Xo- L ng Zng Bn Dnc tx Contol Bsd on t Eo Fdbc-Wgtng Cocton Jonl of Fsn tol Insttt ; 5] F Lng ZHG Jn HG Xng HG Dong dsgn of t ISO odl dctv Contoll fo Bocto ; 6 6] Jj LI R Q ng CHE Constcton Eqnt Contol Rsc Bsd on dctv cnolog ELKOIK Indons Jonl of Elctcl Engnng ; 5: DC bsd on Wgtng Cocton of dctv odl Eos L n

3. Anomalous magnetic moment

3. Anomalous magnetic moment 3. Anolos gntc ont 3.1 Mgntc ont of th lcton: Dc qton wth lcton colng to lcto-gntc t fld: D A A D ψ 0 cnoncl ont Anstz fo th solton s fo f tcl: t t Χ Φ Φ Χ 0 A 0 A Χ Φ 0 Χ Φ χ ϕ x x 4 Non-ltvstc lt: E,

More information

Stabilizing gain design for PFC (Predictive Functional Control) with estimated disturbance feed-forward

Stabilizing gain design for PFC (Predictive Functional Control) with estimated disturbance feed-forward Stblzg g sg o PFC Pctv Fctol Cotol wth stt stbc -ow. Zbt R. Hb. och Dtt o Pocss Egg Plt Dsg Lboto o Pocss Atoto Colog Uvst o Al Scc D-5679 öl Btzo St. -l: hl.zbt@sl.h-ol. {obt.hb l.och}@ h-ol. Abstct:

More information

Control Oriented LFT Modeling of a Non Linear MIMO system

Control Oriented LFT Modeling of a Non Linear MIMO system I E E E C Intnton on of Ectc, Ectoncs ISSN No. (Onn : 77-66 n Cot Ennn (: 5-( Sc Eton fo Bst Ps of c F IE In St-, FIIS- Conto Ont LF on of Non Ln IO sst Ro* n Rnt K B** *CKV Insttt of Ennn, L, How, (WB

More information

Coordinate Transformations

Coordinate Transformations Coll of E Copt Scc Mchcl E Dptt Nots o E lss Rvs pl 6, Istcto: L Ctto Coot Tsfotos Itocto W wt to c ot o lss lttv coot ssts. Most stts hv lt wth pol sphcl coot ssts. I ths ots, w wt to t ths oto of fft

More information

CBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find

CBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find BSE SMLE ER SOLUTONS LSS-X MTHS SET- BSE SETON Gv tht d W d to fd 7 7 Hc, 7 7 7 Lt, W ow tht Thus, osd th vcto quto of th pl z - + z = - + z = Thus th ts quto of th pl s - + z = Lt d th dstc tw th pot,,

More information

( ) ( ) ( ) 0. Conservation of Energy & Poynting Theorem. From Maxwell s equations we have. M t. From above it can be shown (HW)

( ) ( ) ( ) 0. Conservation of Energy & Poynting Theorem. From Maxwell s equations we have. M t. From above it can be shown (HW) 8 Conson o n & Ponn To Fo wll s quons w D B σ σ Fo bo n b sown (W) o s W w bo on o s l us n su su ul ow ns [W/ ] [W] su P su B W W 4 444 s W A A s V A A : W W R o n o so n n: [/s W] W W 4 44 9 W : W F

More information

CBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane.

CBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane. CBSE CBSE SET- SECTION. Gv tht d W d to fd 7 7 Hc, 7 7 7. Lt,. W ow tht.. Thus,. Cosd th vcto quto of th pl.. z. - + z = - + z = Thus th Cts quto of th pl s - + z = Lt d th dstc tw th pot,, - to th pl.

More information

An action with positive kinetic energy term for general relativity. T. Mei

An action with positive kinetic energy term for general relativity. T. Mei An ton wt post nt ny t fo n tty T (Dptnt of Jon Cnt Cn o Unsty Wn H PRO Pop s Rp of Cn E-: to@nn tow@pwn ) Astt: At fst w stt so sts n X: 7769 n tn sn post nt ny oont onton n y X: 7769 w psnt n ton wt

More information

Exam 2 Solutions. Jonathan Turner 4/2/2012. CS 542 Advanced Data Structures and Algorithms

Exam 2 Solutions. Jonathan Turner 4/2/2012. CS 542 Advanced Data Structures and Algorithms CS 542 Avn Dt Stutu n Alotm Exm 2 Soluton Jontn Tun 4/2/202. (5 ont) Con n oton on t tton t tutu n w t n t 2 no. Wt t mllt num o no tt t tton t tutu oul ontn. Exln you nw. Sn n mut n you o u t n t, t n

More information

D. Bertsekas and R. Gallager, "Data networks." Q: What are the labels for the x-axis and y-axis of Fig. 4.2?

D. Bertsekas and R. Gallager, Data networks. Q: What are the labels for the x-axis and y-axis of Fig. 4.2? pd by J. Succ ECE 543 Octob 22 2002 Outl Slottd Aloh Dft Stblzd Slottd Aloh Uslottd Aloh Splttg Algoths Rfc D. Btsks d R. llg "Dt twoks." Rvw (Slottd Aloh): : Wht th lbls fo th x-xs d y-xs of Fg. 4.2?

More information

Handout 7. Properties of Bloch States and Electron Statistics in Energy Bands

Handout 7. Properties of Bloch States and Electron Statistics in Energy Bands Hdout 7 Popts of Bloch Stts d Elcto Sttstcs Eg Bds I ths lctu ou wll l: Popts of Bloch fuctos Podc boud codtos fo Bloch fuctos Dst of stts -spc Elcto occupto sttstcs g bds ECE 407 Spg 009 Fh R Coll Uvst

More information

}, the unrestricted process will see a transition to

}, the unrestricted process will see a transition to A u an Mod wt Rvs Inoaton Excang: ot Andx t : Dnng t Rstctd Pocss W gn wt ocusng on a stctd vson o t cot M dscd aov stctd vson osvs t ocss on ov stats o wc N W not tat wnv t stctd ocss s n stats { } t

More information

SYMMETRICAL COMPONENTS

SYMMETRICAL COMPONENTS SYMMETRCA COMPONENTS Syl oponn llow ph un of volg n un o pl y h p ln yl oponn Con h ph ln oponn wh Engy Convon o 4 o o wh o, 4 o, 6 o Engy Convon SYMMETRCA COMPONENTS Dfn h opo wh o Th o of pho : pov ph

More information

Determination of slot leakage inductance for three-phase induction motor winding using an analytical method

Determination of slot leakage inductance for three-phase induction motor winding using an analytical method ACHIVES OF EECTICA EGIEEIG VO 6 pp 569-59 DOI 78/--6 Dtnton of ot ntn fo t-p nton oto wnn n n nt to JA STASZAK Dptnt of Et Mn n Mton St K Unvt of Tnoo Tą PP 7 K Pon -: j@tp v: v: 5 Att: T t nto o pon fo

More information

Divided. diamonds. Mimic the look of facets in a bracelet that s deceptively deep RIGHT-ANGLE WEAVE. designed by Peggy Brinkman Matteliano

Divided. diamonds. Mimic the look of facets in a bracelet that s deceptively deep RIGHT-ANGLE WEAVE. designed by Peggy Brinkman Matteliano RIGHT-ANGLE WEAVE Dv mons Mm t look o ts n rlt tt s ptvly p sn y Py Brnkmn Mttlno Dv your mons nto trnls o two or our olors. FCT-SCON0216_BNB66 2012 Klm Pulsn Co. Ts mtrl my not rprou n ny orm wtout prmsson

More information

Current Status of Orbit Determination methods in PMO

Current Status of Orbit Determination methods in PMO unt ttus of Obit Dtintion thods in PMO Dong Wi, hngyin ZHO, Xin Wng Pu Mountin Obsvtoy, HINEE DEMY OF IENE bstct tit obit dtintion OD thods hv vovd ot ov th st 5 ys in Pu Mountin Obsvtoy. This tic ovids

More information

Chapter 2 Reciprocal Lattice. An important concept for analyzing periodic structures

Chapter 2 Reciprocal Lattice. An important concept for analyzing periodic structures Chpt Rcpocl Lttc A mpott cocpt o lyzg podc stuctus Rsos o toducg cpocl lttc Thoy o cystl dcto o x-ys, utos, d lctos. Wh th dcto mxmum? Wht s th tsty? Abstct study o uctos wth th podcty o Bvs lttc Fou tsomto.

More information

A simple 2-D interpolation model for analysis of nonlinear data

A simple 2-D interpolation model for analysis of nonlinear data Vol No - p://oog//n Nl Sn A mpl -D npolon mol o nl o nonln M Zmn Dpmn o Cvl Engnng Fl o nolog n Engnng Yo Unv Yo In; m@ml Rv M ; v Apl ; p M ABSRAC o mnon volm n wg o nonnom o n o po vlon o mnng n o ng

More information

Kummer Beta -Weibull Geometric Distribution. A New Generalization of Beta -Weibull Geometric Distribution

Kummer Beta -Weibull Geometric Distribution. A New Generalization of Beta -Weibull Geometric Distribution ttol Jol of Ss: Bs Al Rsh JSBAR SSN 37-453 Pt & Ol htt://gss.og/.h?joljolofbsaal ---------------------------------------------------------------------------------------------------------------------------

More information

Easy Steps to build a part number... Tri-Start Series III CF P

Easy Steps to build a part number... Tri-Start Series III CF P ulti-l i Oti iul ( oto) ow to O ol os sy ts to uil t u... i-tt is 1. 2 3 4. 5. 6. oto y til iis ll tyl ll iz- st t ott y & y/ ywy ositio 50 9 0 17-08 ol ulti-l i oti otos o us wit ulti-o sil o tii o y

More information

Self-Adjusting Top Trees

Self-Adjusting Top Trees Th Polm Sl-jsting Top Ts ynmi ts: ol: mintin n n-tx ost tht hngs o tim. link(,w): ts n g twn tis n w. t(,w): lts g (,w). pplition-spii t ssoit with gs n/o tis. ont xmpls: in minimm-wight g in th pth twn

More information

Having a glimpse of some of the possibilities for solutions of linear systems, we move to methods of finding these solutions. The basic idea we shall

Having a glimpse of some of the possibilities for solutions of linear systems, we move to methods of finding these solutions. The basic idea we shall Hvn lps o so o t posslts or solutons o lnr systs, w ov to tos o nn ts solutons. T s w sll us s to try to sply t syst y lntn so o t vrls n so ts qutons. Tus, w rr to t to s lnton. T prry oprton nvolv s

More information

Introduction to Inertial Dynamics

Introduction to Inertial Dynamics nouon o nl Dn Rz S Jon Hokn Unv Lu no on uon of oon of ul-jon oo o onl W n? A on of o fo ng on ul n oon of. ou n El: A ll of l off goun. fo ng on ll fo of gv: f-g g9.8 /. f o ll, n : f g / f g 9.8.9 El:

More information

:9 :9. Public Water Crossings - DE NORTHERN PASS PROJECT. Ashland. Bridgewater

:9 :9. Public Water Crossings - DE NORTHERN PASS PROJECT. Ashland. Bridgewater Lgnd ol/ Loction Nothn ss Nothn ss nsission Lins Nub - - - kv Lin Evsouc Lins 5 kv Hight (in ft oss Sction 75-4 -4 5-4 Evsouc 5 kv Lin E5-8 E5- E5- E5-. Rf to Nothn ss nsission LL ublic Wt ossings SE ockt

More information

SAMPLE LITANY OF THE SAINTS E/G. Dadd9/F. Aadd9. cy. Christ, have. Lord, have mer cy. Christ, have A/E. Dadd9. Aadd9/C Bm E. 1. Ma ry and. mer cy.

SAMPLE LITANY OF THE SAINTS E/G. Dadd9/F. Aadd9. cy. Christ, have. Lord, have mer cy. Christ, have A/E. Dadd9. Aadd9/C Bm E. 1. Ma ry and. mer cy. LTNY OF TH SNTS Cntrs Gnt flwng ( = c. 100) /G Ddd9/F ll Kybrd / hv Ddd9 hv hv Txt 1973, CL. ll rghts rsrvd. Usd wth prmssn. Musc: D. Bckr, b. 1953, 1987, D. Bckr. Publshd by OCP. ll rghts rsrvd. SMPL

More information

Three Phase Asymmetrical Load Flow for Four-Wire Distribution Networks

Three Phase Asymmetrical Load Flow for Four-Wire Distribution Networks T Aytl Lo Flow o Fou-W Dtuto Ntwo M. Mo *, A. M. Dy. M. A Dtt o Eltl E, A Uvty o Toloy Hz Av., T 59, I * El: o8@yoo.o Att-- Mjoty o tuto two ul u to ul lo, yty to l two l ut. T tt o tuto yt ult y o ovt

More information

P 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 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 information

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings.

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings. T H S PA G E D E CLA SSFED AW E O 2958 RS u blc Recod Key fo maon Ma n AR MATEREL COMM ND D cumen Type Call N u b e 03 V 7 Rcvd Rel 98 / 0 ndexe D 38 Eneed Dae RS l umbe 0 0 4 2 3 5 6 C D QC d Dac A cesson

More information

be two non-empty sets. Then S is called a semigroup if it satisfies the conditions

be two non-empty sets. Then S is called a semigroup if it satisfies the conditions UZZY SOT GMM EGU SEMIGOUPS V. Chinndi* & K. lmozhi** * ssocit Pofsso Dtmnt of Mthmtics nnmli Univsity nnmling Tmilnd ** Dtmnt of Mthmtics nnmli Univsity nnmling Tmilnd bstct: In this w hv discssd bot th

More information

1) They represent a continuum of energies (there is no energy quantization). where all values of p are allowed so there is a continuum of energies.

1) They represent a continuum of energies (there is no energy quantization). where all values of p are allowed so there is a continuum of energies. Unbound Stats OK, u untl now, w a dalt solly wt stats tat ar bound nsd a otntal wll. [Wll, ct for our tratnt of t fr artcl and w want to tat n nd r.] W want to now consdr wat ans f t artcl s unbound. Rbr

More information

Chapter I Vector Analysis

Chapter I Vector Analysis . Chpte I Vecto nlss . Vecto lgeb j It s well-nown tht n vecto cn be wtten s Vectos obe the followng lgebc ules: scl s ) ( j v v cos ) ( e Commuttv ) ( ssoctve C C ) ( ) ( v j ) ( ) ( ) ( ) ( (v) he lw

More information

ELECTROMAGNETISM, NUCLEAR STRUCTURES & GRAVITATION

ELECTROMAGNETISM, NUCLEAR STRUCTURES & GRAVITATION . l & a s s Vo Flds o as l axwll a l sla () l Fld () l olasao () a Flx s () a Fld () a do () ad è s ( ). F wo Sala Flds s b dd l a s ( ) ad oool a s ( ) a oal o 4 qaos 3 aabls - w o Lal osas - oz abo Lal-Sd

More information

Multi-linear Systems and Invariant Theory. in the Context of Computer Vision and Graphics. Class 4: Mutli-View 3D-from-2D. CS329 Stanford University

Multi-linear Systems and Invariant Theory. in the Context of Computer Vision and Graphics. Class 4: Mutli-View 3D-from-2D. CS329 Stanford University Mult-lna Sytm and Invaant hoy n th Contxt of Comut Von and Gahc Cla 4: Mutl-Vw 3D-fom-D CS39 Stanfod Unvty Amnon Shahua Cla 4 Matal W Wll Cov oday Eola Gomty and Fundamntal Matx h lan+aallax modl and latv

More information

Handout on. Crystal Symmetries and Energy Bands

Handout on. Crystal Symmetries and Energy Bands dou o Csl s d g Bds I hs lu ou wll l: Th loshp bw ss d g bds h bs of sp-ob ouplg Th loshp bw ss d g bds h ps of sp-ob ouplg C 7 pg 9 Fh Coll Uvs d g Bds gll hs oh Th sl pol ss ddo o h l slo s: Fo pl h

More information

( V ) 0 in the above equation, but retained to keep the complete vector identity for V in equation.

( V ) 0 in the above equation, but retained to keep the complete vector identity for V in equation. Cuvlna Coodnats Outln:. Otogonal cuvlna coodnat systms. Dffntal opatos n otogonal cuvlna coodnat systms. Dvatvs of t unt vctos n otogonal cuvlna coodnat systms 4. Incompssbl N-S quatons n otogonal cuvlna

More information

CDS 110b: Lecture 8-1 Robust Stability

CDS 110b: Lecture 8-1 Robust Stability DS 0b: Lct 8- Robst Stabilit Richad M. Ma 3 Fba 006 Goals: Dscib mthods fo psnting nmodld dnamics Div conditions fo obst stabilit Rading: DFT, Sctions 4.-4.3 3 Fb 06 R. M. Ma, altch Gam lan: Robst fomanc

More information

L...,,...lllM" l)-""" Si_...,...

L...,,...lllM l)- Si_...,... > 1 122005 14:8 S BF 0tt n FC DRE RE FOR C YER 2004 80?8 P01/ Rc t > uc s cttm tsus H D11) Rqc(tdk ;) wm1111t 4 (d m D m jud: US

More information

5- Scattering Stationary States

5- Scattering Stationary States Lctu 19 Pyscs Dpatmnt Yamou Unvsty 1163 Ibd Jodan Pys. 441: Nucla Pyscs 1 Pobablty Cunts D. Ndal Esadat ttp://ctaps.yu.du.jo/pyscs/couss/pys641/lc5-3 5- Scattng Statonay Stats Rfnc: Paagaps B and C Quantum

More information

The local orthonormal basis set (r,θ,φ) is related to the Cartesian system by:

The local orthonormal basis set (r,θ,φ) is related to the Cartesian system by: TIS in Sica Cooinats As not in t ast ct, an of t otntias tat w wi a wit a cnta otntias, aning tat t a jst fnctions of t istanc btwn a atic an so oint of oigin. In tis cas tn, (,, z as a t Coob otntia an

More information

Functions and Graphs 1. (a) (b) (c) (f) (e) (d) 2. (a) (b) (c) (d)

Functions and Graphs 1. (a) (b) (c) (f) (e) (d) 2. (a) (b) (c) (d) Functions nd Grps. () () (c) - - - O - - - O - - - O - - - - (d) () (f) - - O - 7 6 - - O - -7-6 - - - - - O. () () (c) (d) - - - O - O - O - - O - -. () G() f() + f( ), G(-) f( ) + f(), G() G( ) nd G()

More information

F102 1/4 AMP +240 VDC SEE FIGURE 5-14 FILAMENT AND OVEN CKTS BLU J811 BREAK-IN TB103 TO S103 TRANSMITTER ASSOCIATED CAL OFF FUNCTION NOTE 2 STANDBY

F102 1/4 AMP +240 VDC SEE FIGURE 5-14 FILAMENT AND OVEN CKTS BLU J811 BREAK-IN TB103 TO S103 TRANSMITTER ASSOCIATED CAL OFF FUNCTION NOTE 2 STANDBY OWR OR F0 M NOT S0 RT OF FUNTI FL0 T0 OWR SULY SUSSIS T0 T0 WIR FOR 0 V OWR SULY SUSSIS T0 WIR FOR V 0 0 RT V0 RT V0. V RT V0 RT V0 NOT. V. V NOT +0 V 0 +0 V. V 0 FUNTI NOT L +0 V S FIUR - FILMNT N OVN

More information

Math 656 March 10, 2011 Midterm Examination Solutions

Math 656 March 10, 2011 Midterm Examination Solutions Math 656 March 0, 0 Mdtrm Eamnaton Soltons (4pts Dr th prsson for snh (arcsnh sng th dfnton of snh w n trms of ponntals, and s t to fnd all als of snh (. Plot ths als as ponts n th compl plan. Mak sr or

More information

Convergence tests for the cluster DFT calculations

Convergence tests for the cluster DFT calculations Covgc ss o h clus DF clculos. Covgc wh spc o bss s. s clculos o bss s covgc hv b po usg h PBE ucol o 7 os gg h-b. A s o h Guss bss ss wh csg s usss hs b us clug h -G -G** - ++G(p). A l sc o. Å h c bw h

More information

Appendix. In the absence of default risk, the benefit of the tax shield due to debt financing by the firm is 1 C E C

Appendix. In the absence of default risk, the benefit of the tax shield due to debt financing by the firm is 1 C E C nx. Dvon o h n wh In h sn o ul sk h n o h x shl u o nnng y h m s s h ol ouon s h num o ssus s h oo nom x s h sonl nom x n s h v x on quy whh s wgh vg o vn n l gns x s. In hs s h o sonl nom xs on h x shl

More information

Homework 1: Solutions

Homework 1: Solutions Howo : Solutos No-a Fals supposto tst but passs scal tst lthouh -f th ta as slowss [S /V] vs t th appaac of laty alty th path alo whch slowss s to b tat to obta tavl ts ps o th ol paat S o V as a cosquc

More information

Distributed Set Reachability

Distributed Set Reachability Dstt St Rty S Gj Mt T Mx-P Isttt Its, Usty U Gy SIGMOD 2016, S Fs, USA Dstt St Rty Dstt St Rty (DSR) s zt ty xt t sts stt stt Dstt St Rty 2 Dstt St Rty Dstt St Rty (DSR) s zt ty xt t sts stt stt Dstt St

More information

Executive Committee and Officers ( )

Executive Committee and Officers ( ) Gifted and Talented International V o l u m e 2 4, N u m b e r 2, D e c e m b e r, 2 0 0 9. G i f t e d a n d T a l e n t e d I n t e r n a t i o n a2 l 4 ( 2), D e c e m b e r, 2 0 0 9. 1 T h e W o r

More information

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues BocDPm 9 h d Ch 7.6: Compl Egvlus Elm Dffl Equos d Boud Vlu Poblms 9 h do b Wllm E. Boc d Rchd C. DPm 9 b Joh Wl & Sos Ic. W cosd g homogous ssm of fs od l quos wh cos l coffcs d hus h ssm c b w s ' A

More information

Chapter 6 Perturbation theory

Chapter 6 Perturbation theory Ct 6 Ptutio to 6. Ti-iddt odgt tutio to i o tutio sst is giv to fid solutios of λ ' ; : iltoi of si stt : igvlus of : otool igfutios of ; δ ii Rlig-Södig tutio to ' λ..6. ; : gl iltoi ': tutio λ : sll

More information

Verification of adaptive PID and PIDD 2 control algorithm by hybrid simulation

Verification of adaptive PID and PIDD 2 control algorithm by hybrid simulation XXVI A ' mn, Instmnts nd Contol, Ostv, Al 6 7, P Vfcton of dtv PI nd PI contol lgothm y hyd smlton ALEXÍ, Mláš & ALEXÍ, ml Pof, Ing, Ph, Unvsty of Žln, Vľý dl, FI, 6 Žln, lx@ftftcs, smo@ftftcs Astct: hs

More information

C-Curves. An alternative to the use of hyperbolic decline curves S E R A F I M. Prepared by: Serafim Ltd. P. +44 (0)

C-Curves. An alternative to the use of hyperbolic decline curves S E R A F I M. Prepared by: Serafim Ltd. P. +44 (0) An ltntiv to th us of hypolic dclin cuvs Ppd y: Sfim Ltd S E R A F I M info@sfimltd.com P. +44 (02890 4206 www.sfimltd.com Contnts Contnts... i Intoduction... Initil ssumptions... Solving fo cumultiv...

More information

Problem 1. Solution: = show that for a constant number of particles: c and V. a) Using the definitions of P

Problem 1. Solution: = show that for a constant number of particles: c and V. a) Using the definitions of P rol. Using t dfinitions of nd nd t first lw of trodynis nd t driv t gnrl rltion: wr nd r t sifi t itis t onstnt rssur nd volu rstivly nd nd r t intrnl nrgy nd volu of ol. first lw rlts d dq d t onstnt

More information

Higher Prices for Proper Grading

Higher Prices for Proper Grading FFY-CON Y V b b b z b C 2 b LOWLL CGN Y 25 944 W K L G N Gv v b v v b b v/ * q x b b b b v v b v x b v F 30 N W F W Gv O v v b O; v L W K v L F v v F b x 30 W CCv b bb L 8 v b C C F W v v -24 8:30 9 b

More information

I N A C O M P L E X W O R L D

I N A C O M P L E X W O R L D IS L A M I C E C O N O M I C S I N A C O M P L E X W O R L D E x p l o r a t i o n s i n A g-b eanste d S i m u l a t i o n S a m i A l-s u w a i l e m 1 4 2 9 H 2 0 0 8 I s l a m i c D e v e l o p m e

More information

Adrian Sfarti University of California, 387 Soda Hall, UC Berkeley, California, USA

Adrian Sfarti University of California, 387 Soda Hall, UC Berkeley, California, USA Innionl Jonl of Phoonis n Oil Thnolo Vol. 3 Iss. : 36-4 Jn 7 Rliisi Dnis n lonis in Unifol l n in Unifol Roin s-th Gnl ssions fo h loni 4-Vo Ponil in Sfi Unisi of Clifoni 387 So Hll UC Bkl Clifoni US s@ll.n

More information

Electronic Energies in Delta Doped AlGaAs/GaAs Heterostuctures

Electronic Energies in Delta Doped AlGaAs/GaAs Heterostuctures Amcn Jounl of Appld Scncs 5 (4: 45-49, 8 ISS 546-99 8 Scnc Publctons Elctonc Engs n Dlt Dopd AlGAs/GAs Htostuctus A. Mfth, H. Ajln, A. Mouk, R. Chtouou nd M. Ouslt Fculty of Scncs of Tuns, Unvsty cmpus,

More information

Engineering Tensors. Friday November 16, h30 -Muddy Charles. A BEH430 review session by Thomas Gervais.

Engineering Tensors. Friday November 16, h30 -Muddy Charles. A BEH430 review session by Thomas Gervais. ngneerng Tensors References: BH4 reew sesson b Thoms Gers tgers@mt.ed Long, RR, Mechncs of Solds nd lds, Prentce-Hll, 96, pp - Deen, WD, nlss of trnsport phenomen, Oford, 998, p. 55-56 Goodbod, M, Crtesn

More information

GMm. 10a-0. Satellite Motion. GMm U (r) - U (r ) how high does it go? Escape velocity. Kepler s 2nd Law ::= Areas Angular Mom. Conservation!!!!

GMm. 10a-0. Satellite Motion. GMm U (r) - U (r ) how high does it go? Escape velocity. Kepler s 2nd Law ::= Areas Angular Mom. Conservation!!!! F Satllt Moton 10a-0 U () - U ( ) 0 f ow g dos t go? scap locty Kpl s nd Law ::= Aas Angula Mo. Consaton!!!! Nwton s Unsal Law of Gaty 10a-1 M F F 1) F acts along t ln connctng t cnts of objcts Cntal Foc

More information

W I T H M i A. L I O E T O W A R D ISTOlNrE ^ I S T D C H A. n i T Y F O R - A L L. "

W I T H M i A. L I O E T O W A R D ISTOlNrE ^ I S T D C H A. n i T Y F O R - A L L. J/ H L D N D H Y F L L L N LLL KN NY H Y 2 95 HL N NG F L G NG F LNDD H H J F NH D K GN L _ L L :? H F K b H Y L DD Y N? N L L LD H LL LLL LNNG LL J K N 3 ND DL6 N Lb L F KF FH D LD3 D ND ND F ND LKKN

More information

A Fourth Order Finite Difference Method for Singularly Perturbed Differential-Difference Equations

A Fourth Order Finite Difference Method for Singularly Perturbed Differential-Difference Equations Aecn Jonl of Cottonl nd Aled Mtetcs. ; (): - DOI:. 9/j.jc.. A Fot Ode Fnte Dffeence Metod fo Sngll Peted Dffeentl-Dffeence Etons. Nges o, P. Pod Ckt * Detent of Mtetcs, Vses Ntonl Insttte of Tecnolog,

More information

THE USE OF A CALCULATOR, CELL PHONE, OR ANY OTHER ELEC- TRONIC DEVICE IS NOT PERMITTED DURING THIS EXAMINATION.

THE USE OF A CALCULATOR, CELL PHONE, OR ANY OTHER ELEC- TRONIC DEVICE IS NOT PERMITTED DURING THIS EXAMINATION. MATH 220 NAME So\,t\\OV\ '. FINAL EXAM 18, 2007\ FORMA STUDENT NUMBER INSTRUCTOR SECTION NUMBER This examination will be machine processed by the University Testing Service. Use only a number 2 pencil

More information

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction F Dtto Roto Lr Alr F Roto C Y I Ursty O solto: tto o l trs s s ys os ot. Dlt to t to ltpl ws. F Roto Aotr ppro: ort y rry s tor o so E.. 56 56 > pot 6556- stol sp A st o s t ps to ollto o pots ts sp. F

More information

-Z ONGRE::IONAL ACTION ON FY 1987 SUPPLEMENTAL 1/1

-Z ONGRE::IONAL ACTION ON FY 1987 SUPPLEMENTAL 1/1 -Z-433 6 --OGRE::OA ATO O FY 987 SUPPEMETA / APPR)PRATO RfQUEST PAY AD PROGRAM(U) DE ARTMET OF DEES AS O' D 9J8,:A:SF ED DEFS! WA-H ODM U 7 / A 25 MRGOPf RESOUTO TEST HART / / AD-A 83 96 (~Go w - %A uj

More information

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9 C C A 55NED n R 5 0 9 b c c \ { s AS EC 2 5? 9 Con 0 \ 0265 o + s ^! 4 y!! {! w Y n < R > s s = ~ C c [ + * c n j R c C / e A / = + j ) d /! Y 6 ] s v * ^ / ) v } > { ± n S = S w c s y c C { ~! > R = n

More information

EQUATION SHEETS FOR ELEC

EQUATION SHEETS FOR ELEC QUTON SHTS FO C 47 Fbuay 7 QUTON SHTS FO C 47 Fbuay 7 hs hυ h ω ( J ) h.4 ω υ ( µ ) ( ) h h k π υ ε ( / s ) G Os (Us > x < a ) Sll s aw s s s Shal z z Shal buay (, aus ) z y y z z z Shal ls ( s sua, s

More information

ECE430 Name 5 () ( '-'1-+/~ Or"- f w.s. Section: (Circle One) 10 MWF 12:30 TuTh (Sauer) (Liu) TOTAL: USEFUL INFORMATION

ECE430 Name 5 () ( '-'1-+/~ Or- f w.s. Section: (Circle One) 10 MWF 12:30 TuTh (Sauer) (Liu) TOTAL: USEFUL INFORMATION " ~~~~~,",,_~"",,"cr,~ - r " ECE430 Name 5 () ( '-'1-+/~ Or"- f ws Exam #2 (print Name) Spring 2005 Section: (Circle One) 10 MWF 12:30 TuTh (Sauer) (Liu) Problem 1 Problem 2 Problem 3 Problem 4 TOTAL:

More information

Chapter Runge-Kutta 2nd Order Method for Ordinary Differential Equations

Chapter Runge-Kutta 2nd Order Method for Ordinary Differential Equations Cter. Runge-Kutt nd Order Metod or Ordnr Derentl Eutons Ater redng ts cter ou sould be ble to:. understnd te Runge-Kutt nd order metod or ordnr derentl eutons nd ow to use t to solve roblems. Wt s te Runge-Kutt

More information

Fundamentals of Continuum Mechanics. Seoul National University Graphics & Media Lab

Fundamentals of Continuum Mechanics. Seoul National University Graphics & Media Lab Fndmntls of Contnm Mchncs Sol Ntonl Unvrsty Grphcs & Md Lb Th Rodmp of Contnm Mchncs Strss Trnsformton Strn Trnsformton Strss Tnsor Strn T + T ++ T Strss-Strn Rltonshp Strn Enrgy FEM Formlton Lt s Stdy

More information

Parts Manual. EPIC II Critical Care Bed REF 2031

Parts Manual. EPIC II Critical Care Bed REF 2031 EPIC II Critical Care Bed REF 2031 Parts Manual For parts or technical assistance call: USA: 1-800-327-0770 2013/05 B.0 2031-109-006 REV B www.stryker.com Table of Contents English Product Labels... 4

More information

ATTACHMENT 1. MOUNTAIN PARK LAND Page 2 of 5

ATTACHMENT 1. MOUNTAIN PARK LAND Page 2 of 5 ATTACHMENT 53 YOBA LINDA Gyp Yb gl 9 Gt Fthly gl t 247 Mt Utct cl Mt Gyp 248 248X A0 A0 Hghy G:\jct\K00074232_p_Iv_Cp_L_Dt_204\MXD\p_Iv_Cp_L_Dt_(K00074232)_0-29-204.x C ( l t b t f y p b lc ly ) Ch Hll

More information

Control system of unmanned aerial vehicle used for endurance autonomous monitoring

Control system of unmanned aerial vehicle used for endurance autonomous monitoring WSES NSIONS o SYSES ONOL oo-o h, s Nco osttsc, h oto sst o vhc s o c tooos oto EODO - IOEL EL, D vst othc o chst o Sc c, St. Ghoh o, o., 6,Scto, chst, ONI too.ch@.o htt:wwww.-cs.o SILE NIOLE ONSNINES,

More information

4.1 Interval Scheduling. Chapter 4. Greedy Algorithms. Interval Scheduling: Greedy Algorithms. Interval Scheduling. Interval scheduling.

4.1 Interval Scheduling. Chapter 4. Greedy Algorithms. Interval Scheduling: Greedy Algorithms. Interval Scheduling. Interval scheduling. Cptr 4 4 Intrvl Suln Gry Alortms Sls y Kvn Wyn Copyrt 005 Prson-Ason Wsly All rts rsrv Intrvl Suln Intrvl Suln: Gry Alortms Intrvl suln! Jo strts t s n nss t! Two os omptl ty on't ovrlp! Gol: n mxmum sust

More information

A High-Order Discontinuous Galerkin Method for Modeling Micro-Pulsed Plasma Thrusters*+

A High-Order Discontinuous Galerkin Method for Modeling Micro-Pulsed Plasma Thrusters*+ Hgh-Od Dcnn Gln Mhd Mdlng Mc-Pld Pl h* G. Ln nd G.. Knd Dn ld Mhc n n Pdnc RI 9 4-86-7 gln@c.bn.d g@c.bn.d IP--54 n n ncl hd dl c-ld l h ngl -ld/ l l. cl/h ln l dcn ld bh cd nd ncd h n - nd h-dnn. h hd

More information

Energy Converters CAD and System Dynamics

Energy Converters CAD and System Dynamics Engy Convt CAD n Syt Dync. Bc gn l fo lctcl cn. Dgn of Incton Mcn 3. Ht tnf n coolng of lctcl cn 4. Dync of lctcl cn 5. Dync of DC cn 6. Spc vcto toy 7. Dync of ncton cn 8. Dync of yncono cn Soc: SPEED

More information

Planar convex hulls (I)

Planar convex hulls (I) Covx Hu Covxty Gv st P o ots 2D, tr ovx u s t sst ovx oyo tt ots ots o P A oyo P s ovx or y, P, t st s try P. Pr ovx us (I) Coutto Gotry [s 3250] Lur To Bowo Co ovx o-ovx 1 2 3 Covx Hu Covx Hu Covx Hu

More information

Spanning Trees. BFS, DFS spanning tree Minimum spanning tree. March 28, 2018 Cinda Heeren / Geoffrey Tien 1

Spanning Trees. BFS, DFS spanning tree Minimum spanning tree. March 28, 2018 Cinda Heeren / Geoffrey Tien 1 Spnnn Trs BFS, DFS spnnn tr Mnmum spnnn tr Mr 28, 2018 Cn Hrn / Gory Tn 1 Dpt-rst sr Vsts vrts lon snl pt s r s t n o, n tn ktrks to t rst junton n rsums own notr pt Mr 28, 2018 Cn Hrn / Gory Tn 2 Dpt-rst

More information

fur \ \,,^N/ D7,,)d.s) 7. The champion and Runner up of the previous year shall be allowed to play directly in final Zone.

fur \ \,,^N/ D7,,)d.s) 7. The champion and Runner up of the previous year shall be allowed to play directly in final Zone. OUL O GR SODRY DUTO, ODS,RT,SMTUR,USWR.l ntuctin f cnuct f Kbi ( y/gil)tunent f 2L-Lg t. 2.. 4.. 6. Mtche hll be lye e K ule f ene f tie t tie Dutin f ech tch hll be - +0 (Rece)+ = M The ticint f ech Te

More information

COMP 250. Lecture 29. graph traversal. Nov. 15/16, 2017

COMP 250. Lecture 29. graph traversal. Nov. 15/16, 2017 COMP 250 Ltur 29 rp trvrsl Nov. 15/16, 2017 1 Toy Rursv rp trvrsl pt rst Non-rursv rp trvrsl pt rst rt rst 2 Hs up! Tr wr w mstks n t sls or S. 001 or toy s ltur. So you r ollown t ltur rorns n usn ts

More information

Housing Market Monitor

Housing Market Monitor M O O D Y È S A N A L Y T I C S H o u s i n g M a r k e t M o n i t o r I N C O R P O R A T I N G D A T A A S O F N O V E M B E R İ Ī Ĭ Ĭ E x e c u t i v e S u m m a r y E x e c u t i v e S u m m a r y

More information

A RWA Performance Comparison for Hybrid Optical Networks combining Circuit and Multi-Wavelength Packet Switching

A RWA Performance Comparison for Hybrid Optical Networks combining Circuit and Multi-Wavelength Packet Switching 1 R c Cp Hd Optc tw c Cct d Mt- ct Swtch Kt Mchd 1,3, Hd Iz 1,2, H Mw 1,2, d J M 3 1 Th Ut T 2 t Ittt It d Cct (ICT) 3 K Ut E-: chd@c.wd.d.jp tct Th pp cp t d w t hd ptc tw chtct c ptc cct wtch (OCS) d

More information

GUC (Dr. Hany Hammad)

GUC (Dr. Hany Hammad) Lct # Pl s. Li bdsid s with ifm mplitd distibtis. Gl Csidtis Uifm Bimil Optimm (Dlph-Tchbshff) Cicl s. Pl s ssmig ifm mplitd citti m F m d cs z F d d M COMM Lct # Pl s ssmig ifm mplitd citti F m m m T

More information

(Minimum) Spanning Trees

(Minimum) Spanning Trees (Mnmum) Spnnn Trs Spnnn trs Kruskl's lortm Novmr 23, 2017 Cn Hrn / Gory Tn 1 Spnnn trs Gvn G = V, E, spnnn tr o G s onnt surp o G wt xtly V 1 s mnml sust o s tt onnts ll t vrts o G G = Spnnn trs Novmr

More information

Eastern Progress - 3 Mar 1923

Eastern Progress - 3 Mar 1923 922-927 Kk U Y 923-3 923 Kk U //k/ 922-27/7 N VOLU WO X-COON O DUCON OG COND DON COUNY W WOOD LCD DO O NNUL NOC - N CL WNGON DY D Cx W Oz N WN GN O U N N C U D Y C 3 923 CUC OCL W NOD VN W C 9 NO OU UDN

More information

Lecture 20: Minimum Spanning Trees (CLRS 23)

Lecture 20: Minimum Spanning Trees (CLRS 23) Ltur 0: Mnmum Spnnn Trs (CLRS 3) Jun, 00 Grps Lst tm w n (wt) rps (unrt/rt) n ntrou s rp voulry (vrtx,, r, pt, onnt omponnts,... ) W lso suss jny lst n jny mtrx rprsntton W wll us jny lst rprsntton unlss

More information

Dynamic Safety Margin in Fault-Tolerant Predictive Controller

Dynamic Safety Margin in Fault-Tolerant Predictive Controller Pongs of h 5 IEEE onfn on onol pplons oono, n, gs 8-, 5 n Sf Mgn n Fl-oln Pv onoll M l-gll, E n, G oon L, Unvs of Mnnh, Gn lgll@n-nnh, n@n-nnh, g@n-nnh s n sf gn SM s nw pfon n s o s h sn wn pfn sf on

More information

". :'=: "t',.4 :; :::-':7'- --,r. "c:"" --; : I :. \ 1 :;,'I ~,:-._._'.:.:1... ~~ \..,i ... ~.. ~--~ ( L ;...3L-. ' f.':... I. -.1;':'.

. :'=: t',.4 :; :::-':7'- --,r. c: --; : I :. \ 1 :;,'I ~,:-._._'.:.:1... ~~ \..,i ... ~.. ~--~ ( L ;...3L-. ' f.':... I. -.1;':'. = 47 \ \ L 3L f \ / \ L \ \ j \ \ 6! \ j \ / w j / \ \ 4 / N L5 Dm94 O6zq 9 qmn j!!! j 3DLLE N f 3LLE Of ADL!N RALROAD ORAL OR AL AOAON N 5 5 D D 9 94 4 E ROL 2LL RLLAY RL AY 3 ER OLLL 832 876 8 76 L A

More information

FINITE ELEMENT ANALYSIS OF

FINITE ELEMENT ANALYSIS OF FINIT LMNT NLYSIS OF D MODL PROBLM WITH SINGL VRIBL Fnt lmnt modl dvlopmnt of lnr D modl dffrntl qton nvolvng sngl dpndnt nknown govrnng qtons F modl dvlopmnt wk form. JN Rddy Modlqn D - GOVRNING TION

More information

Improving Union. Implementation. Union-by-size Code. Union-by-Size Find Analysis. Path Compression! Improving Find find(e)

Improving Union. Implementation. Union-by-size Code. Union-by-Size Find Analysis. Path Compression! Improving Find find(e) POW CSE 36: Dt Struturs Top #10 T Dynm (Equvln) Duo: Unon-y-Sz & Pt Comprsson Wk!! Luk MDowll Summr Qurtr 003 M! ZING Wt s Goo Mz? Mz Construton lortm Gvn: ollton o rooms V Conntons twn t rooms (ntlly

More information

Bayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP

Bayesian 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 information

Who is this Great Team? Nickname. Strangest Gift/Friend. Hometown. Best Teacher. Hobby. Travel Destination. 8 G People, Places & Possibilities

Who is this Great Team? Nickname. Strangest Gift/Friend. Hometown. Best Teacher. Hobby. Travel Destination. 8 G People, Places & Possibilities Who i thi Gt Tm? Exi Sh th foowing i of infomtion bot of with o tb o tm mt. Yo o not hv to wit n of it own. Yo wi b givn on 5 mint to omih thi tk. Stngt Gift/Fin Niknm Homtown Bt Th Hobb Tv Dtintion Robt

More information

3. A Review of Some Existing AW (BT, CT) Algorithms

3. A Review of Some Existing AW (BT, CT) Algorithms 3. A Revew of Some Exstng AW (BT, CT) Algothms In ths secton, some typcal ant-wndp algothms wll be descbed. As the soltons fo bmpless and condtoned tansfe ae smla to those fo ant-wndp, the pesented algothms

More information

ADORO TE DEVOTE (Godhead Here in Hiding) te, stus bat mas, la te. in so non mor Je nunc. la in. tis. ne, su a. tum. tas: tur: tas: or: ni, ne, o:

ADORO TE DEVOTE (Godhead Here in Hiding) te, stus bat mas, la te. in so non mor Je nunc. la in. tis. ne, su a. tum. tas: tur: tas: or: ni, ne, o: R TE EVTE (dhd H Hdg) L / Mld Kbrd gú s v l m sl c m qu gs v nns V n P P rs l mul m d lud 7 súb Fí cón ví f f dó, cru gs,, j l f c r s m l qum t pr qud ct, us: ns,,,, cs, cut r l sns m / m fí hó sn sí

More information

Applications of Lagrange Equations

Applications of Lagrange Equations Applcaton of agang Euaton Ca Stuy : Elctc Ccut ng th agang uaton of oton, vlop th athatcal ol fo th ccut hown n Fgu.Sulat th ult by SIMI. Th ccuty paat a: 0.0 H, 0.00 H, 0.00 H, C 0.0 F, C 0. F, 0 Ω, Ω

More information

Le Chatelier's Principle. 2. How changes in each factor affect equilibrium (Le Chatelier's Principle)

Le Chatelier's Principle. 2. How changes in each factor affect equilibrium (Le Chatelier's Principle) Chern 12 Notes 11.4 - Le Chatelier's Principle Goals are to learn: 1. The factors that can cause changes in a system at equilibrium 2. How changes in each factor affect equilibrium (Le Chatelier's Principle)

More information

I if +5sssi$ E sr. Egglg[[l[aggegr glieiffi*gi I I a. gl$[fli$ilg1li3fi[ Ell F rss. F$EArgi. SEgh*rqr. H uf$:xdx. FsfileE

I if +5sssi$ E sr. Egglg[[l[aggegr glieiffi*gi I I a. gl$[fli$ilg1li3fi[ Ell F rss. F$EArgi. SEgh*rqr. H uf$:xdx. FsfileE (tl Sh*q +sss$!! ll ss s ;s$ll s ; B 3 $ Sest -9[*; s$t 1,1 - e^ -" H u$xdx fd $A sfle *9,9* '. s. \^ >X!l P s H 2.ue ^ O - HS 1- -l ( l[[l[e lff* l$[fl$l1l3f[ U, -.1 $tse;es s TD T' ' t B $*l$ \l - 1

More information

Stable Matching for Spectrum Market with Guaranteed Minimum Requirement

Stable Matching for Spectrum Market with Guaranteed Minimum Requirement Sl g Spum Gun mum Rqumn Yno n T S Ky Sw ngg ompu Sool Wun Uny nyno@wuun Yuxun Xong T S Ky Sw ngg ompu Sool Wun Uny xongyx@mlluun Qn Wng ompu Sool Wun Uny qnwng@wuun STRT Xoyn Y Sool mon Tlogy ow Uny X

More information

l [ L&U DOK. SENTER Denne rapport tilhører Returneres etter bruk Dokument: Arkiv: Arkivstykke/Ref: ARKAS OO.S Merknad: CP0205V Plassering:

l [ L&U DOK. SENTER Denne rapport tilhører Returneres etter bruk Dokument: Arkiv: Arkivstykke/Ref: ARKAS OO.S Merknad: CP0205V Plassering: I Denne rapport thører L&U DOK. SENTER Returneres etter bruk UTLÅN FRA FJERNARKIVET. UTLÅN ID: 02-0752 MASKINVN 4, FORUS - ADRESSE ST-MA LANETAKER ER ANSVARLIG FOR RETUR AV DETTE DOKUMENTET. VENNLIGST

More information

Oi ir\ o CM CM ! * - CM T. c *" H - VO - a CM - t - T - j. Vv VO r t- CO on *- t- «- - ** <* - CM CM CM b- f - on on. on CM CVJ t - o.

Oi ir\ o CM CM ! * - CM T. c * H - VO - a CM - t - T - j. Vv VO r t- CO on *- t- «- - ** <* - CM CM CM b- f - on on. on CM CVJ t - o. 292 b» CJ «n :T * v j U n n C l * n t l f VL. n n W n V ' n Ln fv C ), C n e. t f *" T V n! * t t T j t Vv V t l / n * t «** n Pk Q * Ph t * b T~! ^ v n f n n N n T n l f P n t. n pn «n =f LPv j t t n

More information

IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 3, No 2, May 2012 ISSN (Online):

IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 3, No 2, May 2012 ISSN (Online): JCS ntntonl Jounl of Cout Scnc u, Vol 9, u, No, My SSN Onln: 69-8 wwwjcsog 5 Sultnou Etton of oto Sd nd Stto tnc n Snol ndct Vcto Contol of nducton Moto Dv Ung unbg Obv Chf Dl, Mloud Yh nd h l Dtnt of

More information

Promotion of Short Sea Shipping and Inland nland Waterway Transport by Use of Modern Telematicselematics

Promotion of Short Sea Shipping and Inland nland Waterway Transport by Use of Modern Telematicselematics Pmtin f Sht S Shipping n Inln nln Wtwy Tnspt by Us f Mn Tlmticslmtics A pjct in th Tnspt RTD Pgmm f th Epn Cmmissin, Dictt Gnl f Tnspt Th Tnspttin Pblm in Ep Bttlncks n Cngstin Imblnc btwn ms Gwth in tnspt

More information