Stability Analysis of an Electric Parking Brake (EPB) System with a Nonlinear Proportional Controller

Size: px
Start display at page:

Download "Stability Analysis of an Electric Parking Brake (EPB) System with a Nonlinear Proportional Controller"

Transcription

1 Procdgs of th 17th World Cogrss h Itrtol Fdrto of utomtc Cotrol Stblty lyss of Elctrc Prkg Brk (EPB) Systm wth Nolr Proportol Cotrollr Youg O. L *, Choog W. L *, Chug C. Chug **, Yougsup So ***, Pljoo Yoo *** d Iyog Hwg*** *Dvso of Elctrcl d Computr Egrg, Hyg Uvrsty, Soul, 1-791, or (-ml: foryou5252@hotml.com, chugwoo.l@gml.com) **Dvso of Elctrcl d Bomdcl Egrg, Hyg Uvrsty, Soul, 1-791, or (-ml: cchug@hyg.c.kr) *** Ctrl R&D Ctr, MNDO Corporto, yogg-do, , or (-ml: ysso@mdo.com, pjyoo@mdo.com, yhwg@mdo.com) bstrct: I ths ppr, Elctrc Prkg Brk (EPB) systm s modlld s stt-dpdt swtchd systm. h modl volvs scrw frcto whch vrs dpdg o th oprto rgo. w olr proportol (P) cotrollr s proposd d ts stblty s lyzd v Lypuov d LSll s thory. It s show tht th qulbrum pot s loclly uform d ultmtly boudd. 1. INRODUCION Elctrc Prkg Brk (EPB) systm s kd of X-bywr systm. h systm rplcs th mul muvrg forc of th covtol lvr prkg systm wth motor torqu. O prformc rqurmt s tht th EPB systm mts brk forc wthout powr supply. o stsfy ths codto, th systm ds to us th frcto of th scrw, whch chgs ccordg to th oprto rgo. h cotrollr of th EPB systm should b dsgd to b robust d to provd uform prformc. Frst, t rqurs wd rg of oprto du to th vrous wghts of crs d th cltos of rods. Scod, t must tolrt lrg dsturbc forcs ctg upo th prkg cbl du to frcto o grs d scrws s th prssur o th prkg brk pds crss. For th EPB cotrollr, o-off, lr proportol (P) d olr P cotrollrs wr comprd (L, t l., 27). h olr P cotrollr provds good uformty prformc d robustss. s th EPB systm s oprto stt vrs, th scrw s frcto lso vrs. EPB systm c b modlld s stt-dpdt swtchd systm wth fv oprto rgos. It s put-ff olr systm whch c b pproxmtd s lr tm-vrt systm wth ch oprto rgo. h olr P cotrollr hs lr g for smll rror d xpotl g bout th motor s gl rror for lrg rror. Smlr olr PID cotrol lgorthms hv b ppld to clss of truck BS problms (Jg d Go, 21). h stblty of th olr P cotrollr hs ot b rportd yt. For swtchg systm, stblty c b show f ts dvdul systms shr commo Lypuov fucto wth gtv drvtv of th Lypuov fucto wth rspct to tm (Nrdr d Blkrsh, 1994). o prov Corrspodg uthor. -ml: cchug@hyg.c.kr th stblty of th swtchd EPB systm wth th proposd olr P cotrollr, commo Lypuov fucto s costructd. Bcus of frcto, thr s slf-lockg stt. It c b provd tht th qulbrum pot s loclly uform d ultmtly boudd usg LSll s thorm. hs ppr s orgzd s follows. I Scto 2, structur d chrctrstcs of th EPB systm r prstd. sttdpdt swtchd systm modl s proposd. Scto dscrbs th cotrollr s spcfctos d ts olr P cotrollr dsg s troducd. I Scto 4, th stblty lyss of th EPB systm s prstd. Scto 5 dmostrts th prformc of th cotrollrs by xprmt. 2. EPB SYSEM MODEL 2.1 EPB Systm Structur d Chrctrstcs. h EPB s systm whch cotrols th brk forc by pullg th prkg cbl s covtol xstg prkg brks. h structur of th EPB systm s show Fg. 1. It cluds DC motor, grbox, scrw, ut, currt ssor, Hll-ffct forc ssor, cclrto ssor d ECU. Grlly, f drvr or hgh lvl systm oprts th EPB systm, th cotrollr clcults trgt forc from th prkg cbl bsd o th cr mss s wll s th clto of th rod s msurd by th cclrto ssor. h EPB crss th brk forc by pullg th prkg cbl usg th DC motor utl th brk forc rchs th trgt forc. Brk forc s msurd by th Hll-ffct forc ssor. h EPB systm hs to mt th brk forc wthout powr. o stsfy ths rqurmt, t ds to us th frcto of th scrw. h drcto d vlu of th frcto my vry s th scrw s rottol drcto s chgd. h stt of th scrw s frcto dtrms th codto of th slf-lockg scrw /8/$2. 28 IFC / R-11.19

2 Cotrol Commd Cotrollr Forc Fdbck Motor Drvr PWM Motor Forc Ssor Gr Box Gr Box Scrw Jot Wr stt-dpdt swtchd systm. h grl frcto modl c b dscrbd s (1) (Olsso, t l., 1998). F dscrbs th xtrl forc. h mxmum sttc frcto forc F s s ssumd to b lrgr th zro. ( v, F) F ( v) Fr f v F f v d F < Fs Fs sg ( F) f v d F Fs (1) Fg. 1. Structur of th EPB systm Motor gl (rd) Wh th vlocty, v, s ot zro, th frcto modl cluds th Coulomb frcto F c, th mxmum sttc frcto F s, th coffct of vscous frcto F v d th Strbck frcto wth Strbck vlocty v s. δs v/ v s c s c v F v F + F F + Fv (2) Motor gulr vlocty (rd/s) rmtur currt () Fg. 2. Motor gl, gulr vlocty d rmtur currt stts. (pplyg brk forc mod) bl 1. Sg of th stt vrbls Stt vrbl pply Rls Motor gl θ θ Motor gulr vlocty θ θ rmtur currt Fg. 2 shows typcl smulto rsults for th EPB systm wth olr P cotrollr whch wll b dscussd scto. s th gulr vlocty pprochs zro, th rmtur currt dmostrts th Strbck ffct. Oc th scrw s slf-lockd, th gulr vlocty d th rmtur currt r mtd du to scrw frcto. bl 1 shows sgs of th stts t ch oprto mod. Notc tht th product of th motor gl d th rmtur currt s lwys gtv sm-dft rgrdlss of th oprto mod. 2.2 Stt Dpdt Swtchd Modl of EPB h EPB systm s hghly olr systm du to frcto. h frcto of th scrw vrs dpdg o th oprto rgo. hrfor, th EPB systm c b modlld s h scrw of th EPB systm hs lowr mgtud of vscous d Strbck frcto th sttc frcto d Coulomb frcto th rg of trst. h frcto modl c b smplfd for stblty lyss s follows: Fc f v Fr ( v, F) F f v d F < Fs Fs sg ( F) f v d F Fs Hr, xtrl forc F d Coulomb frcto F c c b dscrbd s (4) d (5). s th torqu whos drcto s prpdculr to th scrw pl, Q s th forc ppld th scrw xl drcto, d s th scrw dmtr, λ s th scrw ld gl d µ s s th frcto coffct of th scrw. () 2 F cos λ Q s λ d (4) 2 Fc µ s s λ+ Q cos λ d (5) α1 f v d F v > (6-) α 2 f v d F v < (6-b) Q α f v d F < Fs (6-c) α 4 f v d F Fs d F > (6-d) α 5 f v d F Fs d F < (6-) h rlto btw put torqu d output forc Q s modlld s lr ch scrw s oprto stt. Ech stt s s follows. (6-) d (6-b) show cclrto d dclrto mods, rspctvly. (6-c) s th cs of th slflockg stt, α s mtd. (6-d) s th cs whr th 14248

3 scrw bgs to rott forwrd to pply forc for pullg th prkg cbls. (6-) s th cs whr th scrw bgs to rott bckwrd to rls th prkg cbls. α s th scrw g corrspodg to ch cs. hs codtos rsult stt-dpdt swtchd EPB systm (7). h systm s put-ff olr systm. x x x+ Bu h systm mtrx (x) vrs dpdg o th systm swtch-stts d t c b rdfd s (8),, 1,,5 (7) x x Ω (8) whr th oprtg rgo, Ω, s dfd t ch swtchg codto. t ch Ω, (7) s lr tm-vrt systm. h st S cossts of 5 ordrd prs, systm mtrcs d oprtg rgos. It c b dfd s {( 1, 1),,( 5, 5) } S Ω Ω (9) whr d Ω stsfy th codtos of (1). dclrts (Ω 2 ). Dpdg o ts vlocty, th dclrto stt s swtchd to thr cclrto or slf-lockg stts. Stt spc qutos c b clssfd to two groups. Wh mchcl systm s movg or strtg to mov, (11-) s usd. Wh mchcl systm s lockd by frcto, (11-b) s usd. h stt vrbls r th motor gl,θ, th motor gulr vlocty, ω d th rmtur currt,. L s th rmtur ductc, R s th rmtur rsstor, J s th rt t th rmtur, b s th bck mf costt d t s th motor torqu costt. Cs 1,2,4,5 θ 1 θ β t ω ω+ V J J b R 1 (11-) L L L y [ 1 ] θ ω slf-lockg v, F Fs, F >? v, F < F? scp forwrd 4 4 s R, Ω R, 5,, 1 R m m Ω Ω Ω v, F < F? s v, F Fs, F <? dclrto 2 2 v,? Fg.. Stt dgrm of EPB systm v, Fv<? v, Fv<? v,? scp bckwrd 5 5 cclrto 1 1 (1) v,? v,? h stt swtchs occur rstrctd drctos. hs rltos c b dscrbd Fg.. Wh th scrw s slf-lockg stt (Ω ), f th mgtud of th xtrl forc s lrgr th th mxmum sttc frcto forc of th scrw, t bgs to rott thr bckwrd (Ω 5 ) or forwrd (Ω 4 ). It th cclrts (Ω 1 ). Grlly, t mts ts cclrto stt (Ω 1 ) for som tm. ftr som prod of tm, t Cs B θ θ ω ω+ V R 1 (11-b) L L y [ 1 ] θ ω I quto (11-), vrbl β s rltd to th scrw g, α, whch vrs wth th scrw s oprtg codto. It modls th rlto btw th lod of th prkg cbl d th motor s gl s lr. C w s th sprg costt of th prkg cbl. C fs s th sprg costt of th forc ssg sprg. N GR s th gr box s gr rto d p s th scrw ptch. 1 p C C β, 1,2,4,5 N C C w fs 2 GR 2πα w + 2 fs (12) 14249

4 . CONROL SYSEM DESIGN.1 Prformc Rqurmt h followg prformc spcfctos r rqurd for th EPB systm grl (Jum, t l., 24): -h systm must brk th cr wthout powr supply. -h systm must grt th dmdd brkg forc wth spcfd tm. -h mchcl dsg hs to b durbl d robust. -It s dvsbl tht th EPB systm b slt. o stsfy th frst spcfcto, th EPB systm uss th slf-lockg prcpl of th scrw-ut structur. hrfor, t s sstl to lmt th drcto of th cotrollr output wh pplyg th EPB. hs lmtto prvts th trrupt of th scrw slf-lockg mchsm by rvrs rotto of th motor. h rqurd prkg cbl tso s dtrmd by th wght of th cr d th clto of th rod. Bcus lctroc compots r ddd to th EPB systm, th robustss d sfty ssus bcom mor mportt th covtol prkg brk systms. Prformc of thr cotrollrs (o-off, lr P d olr P) ws comprd by L, t l., (27). h olr P cotrollr shows good robustss prformc comprd wth othr cotrol mthods. ssumpto 1. Wth th oprto rg whr th cotrol output s xpotl fucto of th gl rror, th mgtud of th motor s gulr vlocty s lrgr th or qul to 1[rd/s]. I othr words, for r > δ. [ rd s] θ 1 / (15) Rmrk 1. For our systm, r s bout 8[rd], δ s roud 2[rd] d EPB should b lockd wth 1[sc]. It s clr tht ssumpto 1 s physclly rsobl d th codto (15) s stsfd oc th powr s ppld. ssumpto 1 s dd to stsfy th stblty of ths systm. Dtls o stblty wll b xpld scto 4. r δ u δ r u u p _ l f (, α, δ ).2 Nolr P Cotrollr Dsg h olr P cotrollr (1) uss th olr fucto f(, l, α, δ). It ppls hgh g for smll rror d smll g for lrg rror. o vod xcssv hgh g d uwtd vbrtg rspos th ghbourhood of th qulbrum pot, t uss lr g for smll rror (Jg d Go, 21) s show Fg. 4. h output drcto of th cotrollr should b mtd th sm drcto s th motor s movmt to prvt th motor from rottg rvrs. I rl systm, du to physcl lmttos, th cotrol output s boudd. h cotrol output s dfd by (, l,, ) u f α δ (1) whr s th motor gl rror d l, α d δ r usr dsg prmtrs. h olr fucto s gv by Fg. 4. h fuctos of th Lr P d th Nolr P cotrollr. 4. SBILIY NLYSIS 4.1 Stblty of th Nolr P Cotrollr EPB Systm h output of th cotrollr s olr fucto dpdt o th stt vrbl x 1 θ. Iput voltg bcoms (16) d fucto f s dscrbd (14). h org of s tk s th qulbrum pot wthout loss of grlty (hll, 2). (, _,, ) V f α δ (16) p l Hr, (, p l, αδ, ) f α 1 lδ, δ, δ < r. _ α 1 l l α, 1, θ θ, >, δ >, r > d (14) h stt-spc modl of th EPB systm wth olr cotrollr c b dscrbd s combto of lr d olr lmts dscrbd by ( c, ), x + B x x x (17) 1425

5 d B x c, c, 1 β J J R for x / Ω l α 1 b δ L L L l α 1 R δ L L for x Ω, δ, δ < r l α 1 α 1 ( δ ) L t (18-) (18-b) (19) From th root locus lyss, w c sly show tht thr xst p,m d p,mx, such tht σ ( c, ) for α 1 lδ p,m p,mx (, ) x Ω, 1,2,4,5 whr σ( c, ) s th spctrum of th systm mtrx c,. commo Lypuov fucto s show (21) l α 2 x Px+ δ p1x1, δ L 1 l α + 2 V ( x) x Px+ δ p1 L 2 l α 1 + sg ( x1) δ p1x1, δ < r L (2) (21) Rmrk 2. Gv th st of c,, s log s w r bl to fd P, whch s th soluto of th commo Lypuov fucto, p 1, p 2 d p r postv. If P P > for som Q Q > stsfyg c, P+P c, -Q, x Ω, 1,2,4,5. Bcus sg(x 1 )x 1 >. It s clr tht V(x) s loclly postv dft d cotuously dffrtbl. h th drvtv of V(x) s gv by V( x) xqx l α + 2 δ p1x1 x2, δ L xqx + 2xB( x) Px l α sg ( x1) δ p1x1 x2, δ < r L for x Ω, 1, 2, 4,5 (22) Wh δ, t s clr tht V( x) s gtv dft sc w hv x 1 x 2 from bl 1. Wh δ< r, th scod trm of V( x) qul to (2). 2x B x Px α α ( δ ) l 1 1 x1 p1x1 p2x2 px L, 2x B(x) Px, s (2) (2) s lwys gtv f th l p 1 x 1 2 (δ α-1 - α-1 )/L trm s lmtd s show (24) sc x 1 x 2 d x 1 x th oprto rg wthout loss grlty. l x B( x) Px 2 p1x1 ( δ ) L 2 + ( δ ) l 1 1 x1 p2x2 px L (24) W s tht (25) holds, sc sg(x 1 )x 2 1 from ssumpto 1. Lt p P( m, ) m ssumpto 2. h (, 1), (, 2) d (, ) compots of th P mtrx must b grtr th zro. p >, p >, p > ( x ) ( δ ) l p1x1 L < 2sg l α δ p1x1 x2 L (25) 14251

6 From (24) d (25), w s tht 2x B x Px 2sg x p x x + l α δ L l < 2x B( x) Px 2 p1x1 ( δ ) L (26) Bcus V( x) x Q x, x Ω, th stts covrg to Ω xpotlly. 4.2 Slf-lockg Stt Stblty I scto 4.1, w showd tht, f x strts / Ω, x pprochs Ω s t. Sc V( x) x Q x, x Ω (27) I th slf-lockg stt, th oprtg rgo s dfd s (28) d x1 x2, x Ω. { x x x, F Fs, x } Ω < (28) 1 2 W kow tht f x1 x2, x Ω th Lypuov fucto (21) bcoms V( x) 2 x1 x p1 + x x p p R 2 x1 + x ( x1p1 + xp) L L p Rp Rp p th th drvtv of p p x1 x x1x L L L L whr p l δ α-1. Df th st M, such tht 2 2 { p } p (29) M x p x + R p x + x x R p + p > () h closur of th st M s o th x 1 -x pl R. h t s clr tht d, V x < x M, V x x Ω M N whr { p 1 or 1 1 } N x x + R x p x + p x (1) h motor currt s mtd ftr th scrw s slf-lockd s Fg. 2. So th drvtv of th motor currt bcoms zro. I th slf-lockg stt, th lrgst vrt st bcoms Ω M N (2) h lrgst vrt st s th trscto of th closur of th st M () d th st N (1) o th x 1 -x pl. hrfor, th lrgst vrt st bcoms st of th two trscto pots. Usg LSll s thorm, w c show tht th qulbrum pot s loclly uform d ultmtly boudd. Fg. 5 shows th vlu of th Lypuov fucto. It s postv wth th oprto rg d ts drvtv wth rspct to tm s gtv. Lypuov fucto vlu.5 x Fg. 5. Lypuov Fucto Vlu 5. EXPERIMENL RESUL Fg. 6 shows th xprmtl rsult of cbl forc d olr cotrol sgl t ch oprto mod. It s cotrolld by PWM mthod, so mxmum vlu of cotrol sgl 1 [%]. () shows th cbl forc d (b) shows th cotrol sgl wh th EPB systm ppls brk forc. (c) d (d) show wh th brk forc s rlsd. h trgt forc of pply mod s ssumd to b 98[N] d th o of rls mod s ssumd to b [N]. I th ppld mod, lthough th cotrol sgl xsts, oc th stt trs th slf-lockg rgo, Ω, th cbl forc s mtd du to th scrw s frcto. I th rls mod, bcus th scrw frcto s smll, th rspos tm s fstr th th ppld mod. h cbl forc s dcrsd ftr th cotrol sgl bcoms zro du to lrg rt

7 Forc (N) Duty (%) Forc (N) () Prkg cbl forc (pply mod) (b) Cotrol sgl (pply mod) (c) Prkg cbl forc (rls mod) CONCLUSIONS hs ppr troducd EPB systm d dscrbd ts chrctrstcs. h EPB systm ws modlld s sttdpdt rbtrry swtchd systm. h cotrol rqurmts wr xpld d th olr P cotrollr ws proposd. h stblty of th closd-loop systm ws vstgtd by pplyg Lypuov d LSll s thory. h stts covrg to slf-lockg stt xpotlly d th qulbrum pot s loclly uform d ultmtly boudd. hrough xprmtl rsults, th prformc of th olr P cotrollr ws show. CNOWLEDGMEN hs ppr ws supportd prt by th Compots d Mtrls chology Dvlopmt Progrm of MCIE, Rpublc of or udr Grt hs work ws supportd by th Br or 21 Projct 27. REFERENCES Jum, P., J. Jord, Dr.. Jsus, Dr. C. Isml d F. Srg (24). Cocptos of ctutors for lctrc prkg brk (EPB). FISI tchcl ppr, Documt No. F24F182. Jg, F. d Z. Go (21). pplcto of Nolr PID Cotrol to Clss of ruck BS Problms. Procdgs of IEEE Cof. o Dcsos d Cotrol, 1, pp hll, Hss (22). NONLINER SYSEM (rd dto), pp. 112, Prtc Hll. L, Y.O., C. W. L, H.B. Chug, C. C. Chug, Y. So, P. Yoo d I. Hwg (27). Nolr Proportol Cotrollr for Elctrc Prkg Brk (EPB) Systms. 14th s Pcfc utomotv Egrg Cofrc, Documt No Nrdr,.S. d J. Blkrsh, (1994). Commo Lypuov Fucto for Stbl LI Systms wth Commutg -Mtrcs. IEEE rsctos o utomtc cotrol, 9(12), pp Olsso, H.,. J. Åström, C. C. d Wt, M. Gäfvrt d P. Lschsky (1998). Frcto modls d frcto compsto. Europ Jourl of Cotrol, 4, pp Duty (%) (d) Cotrol sgl (rls mod) Fg. 6. Exprmtl rsult: rgt forcs for () d (c) r 98[N] d [N], rspctvly. 1425

CHAPTER 4. FREQUENCY ESTIMATION AND TRACKING

CHAPTER 4. FREQUENCY ESTIMATION AND TRACKING CHPTER 4. FREQUENCY ESTITION ND TRCKING 4.. Itroducto Estmtg mult-frquc susodl sgls burd os hs b th focus of rsrch for qut som tm [68] [58] [46] [64]. ost of th publshd rsrch usd costrd ft mpuls rspos

More information

1. Stefan-Boltzmann law states that the power emitted per unit area of the surface of a black

1. Stefan-Boltzmann law states that the power emitted per unit area of the surface of a black Stf-Boltzm lw stts tht th powr mttd pr ut r of th surfc of blck body s proportol to th fourth powr of th bsolut tmprtur: 4 S T whr T s th bsolut tmprtur d th Stf-Boltzm costt= 5 4 k B 3 5c h ( Clcult 5

More information

ERDOS-SMARANDACHE NUMBERS. Sabin Tabirca* Tatiana Tabirca**

ERDOS-SMARANDACHE NUMBERS. Sabin Tabirca* Tatiana Tabirca** ERDO-MARANDACHE NUMBER b Tbrc* Tt Tbrc** *Trslv Uvrsty of Brsov, Computr cc Dprtmt **Uvrsty of Mchstr, Computr cc Dprtmt Th strtg pot of ths rtcl s rprstd by rct work of Fch []. Bsd o two symptotc rsults

More information

3.4 Properties of the Stress Tensor

3.4 Properties of the Stress Tensor cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato

More information

Quantum Circuits. School on Quantum Day 1, Lesson 5 16:00-17:00, March 22, 2005 Eisuke Abe

Quantum Circuits. School on Quantum Day 1, Lesson 5 16:00-17:00, March 22, 2005 Eisuke Abe Qutum Crcuts School o Qutum Computg @Ygm D, Lsso 5 6:-7:, Mrch, 5 Esuk Ab Dprtmt of Appl Phscs Phsco-Iformtcs, CEST-JST, Ko vrst Outl Bloch sphr rprstto otto gts vrslt proof A rbtrr cotroll- gt c b mplmt

More information

FOURIER SERIES. Series expansions are a ubiquitous tool of science and engineering. The kinds of

FOURIER SERIES. Series expansions are a ubiquitous tool of science and engineering. The kinds of Do Bgyoko () FOURIER SERIES I. INTRODUCTION Srs psos r ubqutous too o scc d grg. Th kds o pso to utz dpd o () th proprts o th uctos to b studd d (b) th proprts or chrctrstcs o th systm udr vstgto. Powr

More information

Inner Product Spaces INNER PRODUCTS

Inner Product Spaces INNER PRODUCTS MA4Hcdoc Ir Product Spcs INNER PRODCS Dto A r product o vctor spc V s ucto tht ssgs ubr spc V such wy tht th ollowg xos holds: P : w s rl ubr P : P : P 4 : P 5 : v, w = w, v v + w, u = u + w, u rv, w =

More information

Section 5.1/5.2: Areas and Distances the Definite Integral

Section 5.1/5.2: Areas and Distances the Definite Integral Scto./.: Ars d Dstcs th Dt Itgrl Sgm Notto Prctc HW rom Stwrt Ttook ot to hd p. #,, 9 p. 6 #,, 9- odd, - odd Th sum o trms,,, s wrtt s, whr th d o summto Empl : Fd th sum. Soluto: Th Dt Itgrl Suppos w

More information

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES TRANSFORMATION OF FUNCTION OF A RANDOM VARIABLE UNIVARIATE TRANSFORMATIONS TRANSFORMATION OF RANDOM VARIABLES If s a rv wth cdf F th Y=g s also a rv. If w wrt

More information

More Statistics tutorial at 1. Introduction to mathematical Statistics

More Statistics tutorial at   1. Introduction to mathematical Statistics Mor Sttstcs tutorl t wwwdumblttldoctorcom Itroducto to mthmtcl Sttstcs Fl Soluto A Gllup survy portrys US trprurs s " th mvrcks, drmrs, d lors whos rough dgs d ucompromsg d to do t thr ow wy st thm shrp

More information

The Analyses and Applications of the Traffic Dispersion Model

The Analyses and Applications of the Traffic Dispersion Model Th Alss d Applctos of th Trffc Dsprso Modl Hsu-Jug Cho d Shh-Chg Lo Dprtmt of TrsporttoTcholog d Mgmt Ntol Cho Tug Uvrst, T Hsuh Rd., HsChu, 49 TAIWAN Abstrct: - I ths stud, w dscuss th drvto, pplctos

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

Accuracy of ADC dynamic parameters measurement. Jiri Brossmann, Petr Cesak, Jaroslav Roztocil

Accuracy of ADC dynamic parameters measurement. Jiri Brossmann, Petr Cesak, Jaroslav Roztocil ccurcy o dymc prmtrs msurmt Jr Brossm Ptr Csk Jroslv Roztocl Czch Tchcl Uvrsty Prgu Fculty o Elctrcl Egrg Tchck CZ-667 Prgu 6 Czch Rpublc Pho: 40-4 35 86 Fx: 40-33 339 9 E-ml: jr.brossm@gml.com cskp@l.cvut.cz

More information

Introduction to Laplace Transforms October 25, 2017

Introduction 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 information

Department of Mathematics and Statistics Indian Institute of Technology Kanpur MSO202A/MSO202 Assignment 3 Solutions Introduction To Complex Analysis

Department of Mathematics and Statistics Indian Institute of Technology Kanpur MSO202A/MSO202 Assignment 3 Solutions Introduction To Complex Analysis Dpartmt of Mathmatcs ad Statstcs Ida Isttut of Tchology Kapur MSOA/MSO Assgmt 3 Solutos Itroducto To omplx Aalyss Th problms markd (T) d a xplct dscusso th tutoral class. Othr problms ar for hacd practc..

More information

SYSTEMS OF LINEAR EQUATIONS

SYSTEMS OF LINEAR EQUATIONS SYSES OF INER EQUIONS Itroducto Emto thods Dcomposto thods tr Ivrs d Dtrmt Errors, Rsdus d Codto Numr Itrto thods Icompt d Rdudt Systms Chptr Systms of r Equtos /. Itroducto h systm of r qutos s formd

More information

Quantum Mechanics & Spectroscopy Prof. Jason Goodpaster. Problem Set #2 ANSWER KEY (5 questions, 10 points)

Quantum Mechanics & Spectroscopy Prof. Jason Goodpaster. Problem Set #2 ANSWER KEY (5 questions, 10 points) Chm 5 Problm St # ANSWER KEY 5 qustios, poits Qutum Mchics & Spctroscopy Prof. Jso Goodpstr Du ridy, b. 6 S th lst pgs for possibly usful costts, qutios d itgrls. Ths will lso b icludd o our futur ms..

More information

minimize c'x subject to subject to subject to

minimize c'x subject to subject to subject to z ' sut to ' M ' M N uostrd N z ' sut to ' z ' sut to ' sl vrls vtor of : vrls surplus vtor of : uostrd s s s s s s z sut to whr : ut ost of :out of : out of ( ' gr of h food ( utrt : rqurt for h utrt

More information

Introduction to logistic regression

Introduction to logistic regression Itroducto to logstc rgrsso Gv: datast D { 2 2... } whr s a k-dmsoal vctor of ral-valud faturs or attrbuts ad s a bar class labl or targt. hus w ca sa that R k ad {0 }. For ampl f k 4 a datast of 3 data

More information

Linear Algebra Existence of the determinant. Expansion according to a row.

Linear Algebra Existence of the determinant. Expansion according to a row. Lir Algbr 2270 1 Existc of th dtrmit. Expsio ccordig to row. W dfi th dtrmit for 1 1 mtrics s dt([]) = (1) It is sy chck tht it stisfis D1)-D3). For y othr w dfi th dtrmit s follows. Assumig th dtrmit

More information

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder Nolr Rgrsso Mjor: All Egrg Mjors Auhors: Aur Kw, Luk Sydr hp://urclhodsgusfdu Trsforg Nurcl Mhods Educo for STEM Udrgrdus 3/9/5 hp://urclhodsgusfdu Nolr Rgrsso hp://urclhodsgusfdu Nolr Rgrsso So populr

More information

COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES

COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES DEFINITION OF A COMPLEX NUMBER: A umbr of th form, whr = (, ad & ar ral umbrs s calld a compl umbr Th ral umbr, s calld ral part of whl s calld

More information

A Model of Vehicle Fuel Consumption at Conditions of the EUDC

A Model of Vehicle Fuel Consumption at Conditions of the EUDC INERNAIONAL JOURNAL OF MECHANICS A Modl o Vhcl Ful Cosumpto t Codtos o th EUDC Mchl B Chm Erm Shmrlg Abstrct A mthmtcl modl or vlutg vhcl ul cosumpto o 00 km trvl t stdrd oprtg codtos or th EUDC (Extr-Urb

More information

Linear Prediction Analysis of Speech Sounds

Linear Prediction Analysis of Speech Sounds Lr Prdcto Alyss of Sch Souds Brl Ch 4 frcs: X Hug t l So Lgug Procssg Chtrs 5 6 J Dllr t l Dscrt-T Procssg of Sch Sgls Chtrs 4-6 3 J W Pco Sgl odlg tchqus sch rcogto rocdgs of th I Stbr 993 5-47 Lr Prdctv

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

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

Binary Choice. Multiple Choice. LPM logit logistic regresion probit. Multinomial Logit

Binary Choice. Multiple Choice. LPM logit logistic regresion probit. Multinomial Logit (c Pogsa Porchawssul, Faculty of Ecoomcs, Chulalogor Uvrsty (c Pogsa Porchawssul, Faculty of Ecoomcs, Chulalogor Uvrsty 3 Bary Choc LPM logt logstc rgrso probt Multpl Choc Multomal Logt (c Pogsa Porchawssul,

More information

Handout 11. Energy Bands in Graphene: Tight Binding and the Nearly Free Electron Approach

Handout 11. Energy Bands in Graphene: Tight Binding and the Nearly Free Electron Approach Hdout rg ds Grh: Tght dg d th Nrl Fr ltro roh I ths ltur ou wll lr: rg Th tght bdg thod (otd ) Th -bds grh FZ C 407 Srg 009 Frh R Corll Uvrst Grh d Crbo Notubs: ss Grh s two dsol sgl to lr o rbo tos rrgd

More information

National Quali cations

National Quali cations PRINT COPY OF BRAILLE Ntiol Quli ctios AH08 X747/77/ Mthmtics THURSDAY, MAY INSTRUCTIONS TO CANDIDATES Cdidts should tr thir surm, form(s), dt of birth, Scottish cdidt umbr d th m d Lvl of th subjct t

More information

Repeated Trials: We perform both experiments. Our space now is: Hence: We now can define a Cartesian Product Space.

Repeated Trials: We perform both experiments. Our space now is: Hence: We now can define a Cartesian Product Space. Rpatd Trals: As w hav lood at t, th thory of probablty dals wth outcoms of sgl xprmts. I th applcatos o s usually trstd two or mor xprmts or rpatd prformac or th sam xprmt. I ordr to aalyz such problms

More information

Statistical Thermodynamics Essential Concepts. (Boltzmann Population, Partition Functions, Entropy, Enthalpy, Free Energy) - lecture 5 -

Statistical Thermodynamics Essential Concepts. (Boltzmann Population, Partition Functions, Entropy, Enthalpy, Free Energy) - lecture 5 - Statstcal Thrmodyamcs sstal Cocpts (Boltzma Populato, Partto Fuctos, tropy, thalpy, Fr rgy) - lctur 5 - uatum mchacs of atoms ad molculs STATISTICAL MCHANICS ulbrum Proprts: Thrmodyamcs MACROSCOPIC Proprts

More information

IFYFM002 Further Maths Appendix C Formula Booklet

IFYFM002 Further Maths Appendix C Formula Booklet Ittol Foudto Y (IFY) IFYFM00 Futh Mths Appd C Fomul Booklt Rltd Documts: IFY Futh Mthmtcs Syllbus 07/8 Cotts Mthmtcs Fomul L Equtos d Mtcs... Qudtc Equtos d Rmd Thom... Boml Epsos, Squcs d Ss... Idcs,

More information

The Research on Position and Orientation Constraint of Rootless Redundant Robots Based on Dynamic Modeling

The Research on Position and Orientation Constraint of Rootless Redundant Robots Based on Dynamic Modeling rd Itrtol orc o chtrocs, Robotcs d Automto IRA 5 h Rsrch o Posto d Ortto ostrt o Rootlss Rdudt Robots Bsd o Dymc odl LI, *, JIA Hyo,b, XI Yzhou,c d ZHA Xp,d Dprtmt o chcl Elctrcl Er, Hb Arculturl Ursty,

More information

Total Prime Graph. Abstract: We introduce a new type of labeling known as Total Prime Labeling. Graphs which admit a Total Prime labeling are

Total Prime Graph. Abstract: We introduce a new type of labeling known as Total Prime Labeling. Graphs which admit a Total Prime labeling are Itratoal Joural Of Computatoal Egrg Rsarch (crol.com) Vol. Issu. 5 Total Prm Graph M.Rav (a) Ramasubramaa 1, R.Kala 1 Dpt.of Mathmatcs, Sr Shakth Isttut of Egrg & Tchology, Combator 641 06. Dpt. of Mathmatcs,

More information

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp

1- 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 information

Extension Formulas of Lauricella s Functions by Applications of Dixon s Summation Theorem

Extension Formulas of Lauricella s Functions by Applications of Dixon s Summation Theorem Avll t http:pvu.u Appl. Appl. Mth. ISSN: 9-9466 Vol. 0 Issu Dr 05 pp. 007-08 Appltos Appl Mthts: A Itrtol Jourl AAM Etso oruls of Lurll s utos Appltos of Do s Suto Thor Ah Al Atsh Dprtt of Mthts A Uvrst

More information

Unbalanced Panel Data Models

Unbalanced Panel Data Models Ubalacd Pal Data odls Chaptr 9 from Baltag: Ecoomtrc Aalyss of Pal Data 5 by Adrás alascs 4448 troducto balacd or complt pals: a pal data st whr data/obsrvatos ar avalabl for all crosssctoal uts th tr

More information

CHAPTER 7. X and 2 = X

CHAPTER 7. X and 2 = X CHATR 7 Sco 7-7-. d r usd smors o. Th vrcs r d ; comr h S vrc hs cs / / S S Θ Θ Sc oh smors r usd mo o h vrcs would coclud h s h r smor wh h smllr vrc. 7-. [ ] Θ 7 7 7 7 7 7 [ ] Θ ] [ 7 6 Boh d r usd sms

More information

page 11 equation (1.2-10c), break the bar over the right side in the middle

page 11 equation (1.2-10c), break the bar over the right side in the middle I. Corrctios Lst Updtd: Ju 00 Complx Vrils with Applictios, 3 rd ditio, A. Dvid Wusch First Pritig. A ook ought for My 007 will proly first pritig With Thks to Christi Hos of Swd pg qutio (.-0c), rk th

More information

JOURNAL OF COLLEGE OF EDUCATION NO

JOURNAL OF COLLEGE OF EDUCATION NO NO.3...... 07 Ivrt S-bst Copproxmto -ormd Spcs Slw Slm bd Dprtmt of Mthmtcs Collg of ducto For Pur scc, Ib l-hthm, Uvrsty of Bghdd slwlbud@yhoo.com l Musddk Dlph Dprtmt of Mthmtcs,Collg of Bsc ducto, Uvrsty

More information

Position Control of 2-Link SCARA Robot by using Internal Model Control

Position Control of 2-Link SCARA Robot by using Internal Model Control Mmors of th Faculty of Er, Okayama Uvrsty, Vol, pp 9-, Jauary 9 Posto Cotrol of -Lk SCARA Robot by us Itral Modl Cotrol Shya AKAMASU Dvso of Elctroc ad Iformato Systm Er Graduat School of Natural Scc ad

More information

Linear Prediction Analysis of

Linear Prediction Analysis of Lr Prdcto Alyss of Sch Souds Brl Ch Drtt of Coutr Scc & Iforto grg Ntol Tw Norl Uvrsty frcs: X Hug t l So Lgug g Procssg Chtrs 5 6 J Dllr t l Dscrt-T Procssg of Sch Sgls Chtrs 4-6 3 J W Pco Sgl odlg tchqus

More information

Reliability of time dependent stress-strength system for various distributions

Reliability of time dependent stress-strength system for various distributions IOS Joural of Mathmatcs (IOS-JM ISSN: 78-578. Volum 3, Issu 6 (Sp-Oct., PP -7 www.osrjourals.org lablty of tm dpdt strss-strgth systm for varous dstrbutos N.Swath, T.S.Uma Mahswar,, Dpartmt of Mathmatcs,

More information

Correlation in tree The (ferromagnetic) Ising model

Correlation in tree The (ferromagnetic) Ising model 5/3/00 :\ jh\slf\nots.oc\7 Chaptr 7 Blf propagato corrlato tr Corrlato tr Th (frromagtc) Isg mol Th Isg mol s a graphcal mol or par ws raom Markov fl cosstg of a urct graph wth varabls assocat wth th vrtcs.

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

Chapter 6. pn-junction diode: I-V characteristics

Chapter 6. pn-junction diode: I-V characteristics Chatr 6. -jucto dod: -V charactrstcs Tocs: stady stat rsos of th jucto dod udr ald d.c. voltag. ucto udr bas qualtatv dscusso dal dod quato Dvatos from th dal dod Charg-cotrol aroach Prof. Yo-S M Elctroc

More information

A Monotone Process Replacement Model for a Two Unit Cold Standby Repairable System

A Monotone Process Replacement Model for a Two Unit Cold Standby Repairable System Itrtol Jorl of Egrg Rsrch d Dlopmt -ISS: 78-67 p-iss: 78-8 www.jrd.com Volm 7 Iss 8 J 3 PP. 4-49 A Mooto Procss Rplcmt Modl for Two Ut Cold Std Rprl Sstm Dr.B.Vt Rmd Prof.A. Mllrj Rdd M. Bhg Lshm 3 Assstt

More information

Chapter 3 Fourier Series Representation of Periodic Signals

Chapter 3 Fourier Series Representation of Periodic Signals Chptr Fourir Sris Rprsttio of Priodic Sigls If ritrry sigl x(t or x[] is xprssd s lir comitio of som sic sigls th rspos of LI systm coms th sum of th idividul rsposs of thos sic sigls Such sic sigl must:

More information

Bayesian Shrinkage Estimator for the Scale Parameter of Exponential Distribution under Improper Prior Distribution

Bayesian Shrinkage Estimator for the Scale Parameter of Exponential Distribution under Improper Prior Distribution Itratoal Joural of Statstcs ad Applcatos, (3): 35-3 DOI:.593/j.statstcs.3. Baysa Shrkag Estmator for th Scal Paramtr of Expotal Dstrbuto udr Impropr Pror Dstrbuto Abbas Najm Salma *, Rada Al Sharf Dpartmt

More information

Factors Success op Ten Critical T the exactly what wonder may you referenced, being questions different the all With success critical ten top the of l

Factors Success op Ten Critical T the exactly what wonder may you referenced, being questions different the all With success critical ten top the of l Fr Su p T rl T xl r rr, bg r ll Wh u rl p l Fllg ll r lkg plr plr rl r kg: 1 k r r u v P 2 u l r P 3 ) r rl k 4 k rprl 5 6 k prbl lvg hkg rl 7 lxbl F 8 l S v 9 p rh L 0 1 k r T h r S pbl r u rl bv p p

More information

Entropy Equation for a Control Volume

Entropy Equation for a Control Volume Fudamtals of Thrmodyamcs Chaptr 7 Etropy Equato for a Cotrol Volum Prof. Syoug Jog Thrmodyamcs I MEE2022-02 Thrmal Egrg Lab. 2 Q ds Srr T Q S2 S1 1 Q S S2 S1 Srr T t t T t S S s m 1 2 t S S s m tt S S

More information

U1. Transient circuits response

U1. Transient circuits response U. Tr crcu rpo rcu ly, Grdo Irí d omucco uro 6-7 Phlp Sm phlp.m@uh. Dprmo d Torí d l Sñl y omucco Idx Rcll Gol d movo r dffrl quo Rcll Th homoou oluo d d ordr lr dffrl quo Exmpl of d ordr crcu Il codo

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

Group Consensus of Second-Order Multi-agent Networks with Multiple Time Delays

Group Consensus of Second-Order Multi-agent Networks with Multiple Time Delays Itratoal Cofrc o Appld Mathmatcs, Smulato ad Modllg (AMSM 6) Group Cossus of Scod-Ordr Mult-agt Ntworks wth Multpl Tm Dlays Laghao J* ad Xyu Zhao Chogqg Ky Laboratory of Computatoal Itllgc, Chogqg Uvrsty

More information

COLLECTION OF SUPPLEMENTARY PROBLEMS CALCULUS II

COLLECTION OF SUPPLEMENTARY PROBLEMS CALCULUS II COLLECTION OF SUPPLEMENTARY PROBLEMS I. CHAPTER 6 --- Trscdtl Fuctios CALCULUS II A. FROM CALCULUS BY J. STEWART:. ( How is th umbr dfid? ( Wht is pproimt vlu for? (c ) Sktch th grph of th turl potil fuctios.

More information

Preview. Graph. Graph. Graph. Graph Representation. Graph Representation 12/3/2018. Graph Graph Representation Graph Search Algorithms

Preview. Graph. Graph. Graph. Graph Representation. Graph Representation 12/3/2018. Graph Graph Representation Graph Search Algorithms /3/0 Prvw Grph Grph Rprsntton Grph Srch Algorthms Brdth Frst Srch Corrctnss of BFS Dpth Frst Srch Mnmum Spnnng Tr Kruskl s lgorthm Grph Drctd grph (or dgrph) G = (V, E) V: St of vrt (nod) E: St of dgs

More information

The Theory of Small Reflections

The Theory of Small Reflections Jim Stils Th Univ. of Knss Dt. of EECS 4//9 Th Thory of Smll Rflctions /9 Th Thory of Smll Rflctions Rcll tht w nlyzd qurtr-wv trnsformr usg th multil rflction viw ot. V ( z) = + β ( z + ) V ( z) = = R

More information

Independent Domination in Line Graphs

Independent Domination in Line Graphs Itratoal Joural of Sctfc & Egrg Rsarch Volum 3 Issu 6 Ju-1 1 ISSN 9-5518 Iddt Domato L Grahs M H Muddbhal ad D Basavarajaa Abstract - For ay grah G th l grah L G H s th trscto grah Thus th vrtcs of LG

More information

Numerical Method: Finite difference scheme

Numerical Method: Finite difference scheme Numrcal Mthod: Ft dffrc schm Taylor s srs f(x 3 f(x f '(x f ''(x f '''(x...(1! 3! f(x 3 f(x f '(x f ''(x f '''(x...(! 3! whr > 0 from (1, f(x f(x f '(x R Droppg R, f(x f(x f '(x Forward dffrcg O ( x from

More information

Different types of Domination in Intuitionistic Fuzzy Graph

Different types of Domination in Intuitionistic Fuzzy Graph Aals of Pur ad Appld Mathmatcs Vol, No, 07, 87-0 ISSN: 79-087X P, 79-0888ol Publshd o July 07 wwwrsarchmathscorg DOI: http://dxdoorg/057/apama Aals of Dffrt typs of Domato Itutostc Fuzzy Graph MGaruambga,

More information

Errata for Second Edition, First Printing

Errata for Second Edition, First Printing Errt for Scond Edition, First Printing pg 68, lin 1: z=.67 should b z=.44 pg 1: Eqution (.63) should rd B( R) = x= R = θ ( x R) p( x) R 1 x= [1 G( x)] = θp( R) + ( θ R)[1 G( R)] pg 15, problm 6: dmnd of

More information

III Z-Plane Analysis

III Z-Plane Analysis III Z-Pl Aly opc to covrd. Itroducto. Ipul plg d dt hold 3. Otg th Z trfor y covoluto 4. Sgl rcotructo 5. h pul trfr fucto 6. Dgtl cotrollr d fltr III. Itroducto h dvtg of th trfor thod tht t l th gr to

More information

signal amplification; design of digital logic; memory circuits

signal amplification; design of digital logic; memory circuits hatr Th lctroc dvc that s caabl of currt ad voltag amlfcato, or ga, cojucto wth othr crcut lmts, s th trasstor, whch s a thr-trmal dvc. Th dvlomt of th slco trasstor by Bard, Bratta, ad chockly at Bll

More information

Minimum Spanning Trees

Minimum Spanning Trees Minimum Spnning Trs Minimum Spnning Trs Problm A town hs st of houss nd st of rods A rod conncts nd only houss A rod conncting houss u nd v hs rpir cost w(u, v) Gol: Rpir nough (nd no mor) rods such tht:

More information

Vr Vr

Vr Vr F rt l Pr nt t r : xt rn l ppl t n : Pr nt rv nd PD RDT V t : t t : p bl ( ll R lt: 00.00 L n : n L t pd t : 0 6 20 8 :06: 6 pt (p bl Vr.2 8.0 20 8.0. 6 TH N PD PPL T N N RL http : h b. x v t h. p V l

More information

Chapter 4 NUMERICAL METHODS FOR SOLVING BOUNDARY-VALUE PROBLEMS

Chapter 4 NUMERICAL METHODS FOR SOLVING BOUNDARY-VALUE PROBLEMS Chaptr 4 NUMERICL METHODS FOR SOLVING BOUNDRY-VLUE PROBLEMS 00 4. Varatoal formulato two-msoal magtostatcs Lt th followg magtostatc bouar-valu problm b cosr ( ) J (4..) 0 alog ΓD (4..) 0 alog ΓN (4..)

More information

Course 10 Shading. 1. Basic Concepts: Radiance: the light energy. Light Source:

Course 10 Shading. 1. Basic Concepts: Radiance: the light energy. Light Source: Cour 0 Shadg Cour 0 Shadg. Bac Coct: Lght Sourc: adac: th lght rg radatd from a ut ara of lght ourc or urfac a ut old agl. Sold agl: $ # r f lght ourc a ot ourc th ut ara omttd abov dfto. llumato: lght

More information

Linear System Review. Linear System Review. Descriptions of Linear Systems: 2008 Spring ME854 - GGZ Page 1

Linear 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 information

Note: Torque is prop. to current Stationary voltage is prop. to speed

Note: Torque is prop. to current Stationary voltage is prop. to speed DC Mach Cotrol Mathmatcal modl. Armatr ad orq f m m a m m r a a a a a dt d ψ ψ ψ ω Not: orq prop. to crrt Statoary voltag prop. to pd Mathmatcal modl. Fld magtato f f f f d f dt a f ψ m m f f m fλ h torq

More information

Errata for Second Edition, First Printing

Errata for Second Edition, First Printing Errt for Scond Edition, First Printing pg 68, lin 1: z=.67 should b z=.44 pg 71: Eqution (.3) should rd B( R) = θ R 1 x= [1 G( x)] pg 1: Eqution (.63) should rd B( R) = x= R = θ ( x R) p( x) R 1 x= [1

More information

22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 2: Derivation of Ideal MHD Equation

22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 2: Derivation of Ideal MHD Equation .65, MHD Thory of Fuson Systms Prof. Frdbrg Lctur : Drvton of Idl MHD Equton Rvw of th Drvton of th Momnt Equton. Strtng Pont: Boltzmnn Equton for lctrons, ons nd Mxwll Equtons. Momnts of Boltzmnn Equton:

More information

Minimum Spanning Trees

Minimum Spanning Trees Mnmum Spnnng Trs Spnnng Tr A tr (.., connctd, cyclc grph) whch contns ll th vrtcs of th grph Mnmum Spnnng Tr Spnnng tr wth th mnmum sum of wghts 1 1 Spnnng forst If grph s not connctd, thn thr s spnnng

More information

Chapter 5 Transient Analysis

Chapter 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 information

Accurate Stress Intensity Factor Solutions for Unsymmetric Corner Cracks at a Hole

Accurate Stress Intensity Factor Solutions for Unsymmetric Corner Cracks at a Hole Accurt Strss Itsty Fctor Solutos for Usymmtrc Corr Crcks t Hol S.A. Fwz Ar Forc Rsrch Lbortory Wrght-Pttrso AFB, OH 45433 Tl: + 937 55 604, Fx: + 937 656 4999 Scott.Fwz@frl.f.ml Börj Adrsso Aroutcl Rsrch

More information

Lecture #11. A Note of Caution

Lecture #11. A Note of Caution ctur #11 OUTE uctos rvrs brakdow dal dod aalyss» currt flow (qualtatv)» morty carrr dstrbutos Radg: Chatr 6 Srg 003 EE130 ctur 11, Sld 1 ot of Cauto Tycally, juctos C dvcs ar formd by coutr-dog. Th quatos

More information

Chapter 2 Intro to Math Techniques for Quantum Mechanics

Chapter 2 Intro to Math Techniques for Quantum Mechanics Wter 3 Chem 356: Itroductory Qutum Mechcs Chpter Itro to Mth Techques for Qutum Mechcs... Itro to dfferetl equtos... Boudry Codtos... 5 Prtl dfferetl equtos d seprto of vrbles... 5 Itroducto to Sttstcs...

More information

pn Junction Under Reverse-Bias Conditions 3.3 Physical Operation of Diodes

pn Junction Under Reverse-Bias Conditions 3.3 Physical Operation of Diodes 3.3 Physcal Orato of os Jucto Ur vrs-bas Cotos rft Currt S : ato to th ffuso Currt comot u to majorty carrr ffuso, caus by thrmally grat morty carrrs, thr ar two currt comots lctros mov by rft from to

More information

Complex Numbers. Prepared by: Prof. Sunil Department of Mathematics NIT Hamirpur (HP)

Complex Numbers. Prepared by: Prof. Sunil Department of Mathematics NIT Hamirpur (HP) th Topc Compl Nmbrs Hyprbolc fctos ad Ivrs hyprbolc fctos, Rlato btw hyprbolc ad crclar fctos, Formla of hyprbolc fctos, Ivrs hyprbolc fctos Prpard by: Prof Sl Dpartmt of Mathmatcs NIT Hamrpr (HP) Hyprbolc

More information

On Estimation of Unknown Parameters of Exponential- Logarithmic Distribution by Censored Data

On Estimation of Unknown Parameters of Exponential- Logarithmic Distribution by Censored Data saqartvlos mcrbata rovul akadms moamb, t 9, #2, 2015 BULLETIN OF THE GEORGIAN NATIONAL ACADEMY OF SCIENCES, vol 9, o 2, 2015 Mathmatcs O Estmato of Ukow Paramtrs of Epotal- Logarthmc Dstrbuto by Csord

More information

Lecture 11 Waves in Periodic Potentials Today: Questions you should be able to address after today s lecture:

Lecture 11 Waves in Periodic Potentials Today: Questions you should be able to address after today s lecture: Lctur 11 Wvs in Priodic Potntils Tody: 1. Invrs lttic dfinition in 1D.. rphicl rprsnttion of priodic nd -priodic functions using th -xis nd invrs lttic vctors. 3. Sris solutions to th priodic potntil Hmiltonin

More information

Counting the compositions of a positive integer n using Generating Functions Start with, 1. x = 3 ), the number of compositions of 4.

Counting the compositions of a positive integer n using Generating Functions Start with, 1. x = 3 ), the number of compositions of 4. Coutg th compostos of a postv tgr usg Gratg Fuctos Start wth,... - Whr, for ampl, th co-ff of s, for o summad composto of aml,. To obta umbr of compostos of, w d th co-ff of (...) ( ) ( ) Hr for stac w

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

Convergence Theorems for Two Iterative Methods. A stationary iterative method for solving the linear system: (1.1)

Convergence Theorems for Two Iterative Methods. A stationary iterative method for solving the linear system: (1.1) Conrgnc Thors for Two Itrt Mthods A sttonry trt thod for solng th lnr syst: Ax = b (.) ploys n trton trx B nd constnt ctor c so tht for gn strtng stt x of x for = 2... x Bx c + = +. (.2) For such n trton

More information

counting statistics in thermal transport in nanojunctions

counting statistics in thermal transport in nanojunctions rs bhvor d fll cog sscs hrml rspor ojcos J-Shg Wg Dp PhysNUS Ol of h lk rodco Mhod of oqlbrm r s fcos Applcos hrml crrs D ch d obs rs problm Fll cog sscs MS workshop Forr s lw for h codco J [ ] f f d Forr

More information

Aotomorphic Functions And Fermat s Last Theorem(4)

Aotomorphic Functions And Fermat s Last Theorem(4) otomorphc Fuctos d Frmat s Last Thorm(4) Chu-Xua Jag P. O. Box 94 Bg 00854 P. R. Cha agchuxua@sohu.com bsract 67 Frmat wrot: It s mpossbl to sparat a cub to two cubs or a bquadrat to two bquadrats or gral

More information

Estimation Theory. Chapter 4

Estimation Theory. Chapter 4 Estmato ory aptr 4 LIEAR MOELS W - I matrx form Estmat slop B ad trcpt A,,.. - WG W B A l fttg Rcall W W W B A W ~ calld vctor I gral, ormal or Gaussa ata obsrvato paramtr Ma, ovarac KOW p matrx to b stmatd,

More information

Spin Structure of Nuclei and Neutrino Nucleus Reactions Toshio Suzuki

Spin Structure of Nuclei and Neutrino Nucleus Reactions Toshio Suzuki Spi Structur of Nucli d Nutrio Nuclus Rctios Toshio Suzuki Excittio of Spi Mods by s. Spctr DAR, DIF 3. Chrg-Exchg Rctios C, - N by iprovd spi-isospi itrctio with shll volutio Sprdig ffcts of GT strgth

More information

Spanning Tree. Preview. Minimum Spanning Tree. Minimum Spanning Tree. Minimum Spanning Tree. Minimum Spanning Tree 10/17/2017.

Spanning Tree. Preview. Minimum Spanning Tree. Minimum Spanning Tree. Minimum Spanning Tree. Minimum Spanning Tree 10/17/2017. 0//0 Prvw Spnnng Tr Spnnng Tr Mnmum Spnnng Tr Kruskl s Algorthm Prm s Algorthm Corrctnss of Kruskl s Algorthm A spnnng tr T of connctd, undrctd grph G s tr composd of ll th vrtcs nd som (or prhps ll) of

More information

On Approximation Lower Bounds for TSP with Bounded Metrics

On Approximation Lower Bounds for TSP with Bounded Metrics O Approxmato Lowr Bouds for TSP wth Boudd Mtrcs Mark Karpsk Rchard Schmd Abstract W dvlop a w mthod for provg xplct approxmato lowr bouds for TSP problms wth boudd mtrcs mprovg o th bst up to ow kow bouds.

More information

TOTAL LEAST SQUARES ALGORITHMS FOR FITTING 3D STRAIGHT LINES

TOTAL LEAST SQUARES ALGORITHMS FOR FITTING 3D STRAIGHT LINES IJMML 6: (07) 35-44 Mrch 07 ISSN: 394-58 vll t http://sctfcdvcsco DOI: http://ddoorg/0864/jmml_70088 OL LES SQURES LGORIHMS FOR FIING 3D SRIGH LINES Cupg Guo Juhu Pg d Chuto L School of Scc Ch Uvrst of

More information

ITERATIVE METHODS FOR SOLVING SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS

ITERATIVE METHODS FOR SOLVING SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS Numercl Alyss for Egeers Germ Jord Uversty ITERATIVE METHODS FOR SOLVING SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS Numercl soluto of lrge systems of ler lgerc equtos usg drect methods such s Mtr Iverse, Guss

More information

Introduction to logistic regression

Introduction to logistic regression Itroducto to logstc rgrsso Gv: datast D {... } whr s a k-dmsoal vctor of ral-valud faturs or attrbuts ad s a bar class labl or targt. hus w ca sa that R k ad {0 }. For ampl f k 4 a datast of 3 data pots

More information

Machine Learning. Principle Component Analysis. Prof. Dr. Volker Sperschneider

Machine Learning. Principle Component Analysis. Prof. Dr. Volker Sperschneider Mach Larg Prcpl Compot Aalyss Prof. Dr. Volkr Sprschdr AG Maschlls Lr ud Natürlchsprachlch Systm Isttut für Iformatk chsch Fakultät Albrt-Ludgs-Uvrstät Frburg sprschdr@formatk.u-frburg.d I. Archtctur II.

More information

EXERCISE - 01 CHECK YOUR GRASP

EXERCISE - 01 CHECK YOUR GRASP DEFNTE NTEGRATON EXERCSE - CHECK YOUR GRASP. ( ) d [ ] d [ ] d d ƒ( ) ƒ '( ) [ ] [ ] 8 5. ( cos )( c)d 8 ( cos )( c)d + 8 ( cos )( c) d 8 ( cos )( c) d sic + cos 8 is lwys posiiv f() d ( > ) ms f() is

More information

SOLVED EXAMPLES. Ex.1 If f(x) = , then. is equal to- Ex.5. f(x) equals - (A) 2 (B) 1/2 (C) 0 (D) 1 (A) 1 (B) 2. (D) Does not exist = [2(1 h)+1]= 3

SOLVED EXAMPLES. Ex.1 If f(x) = , then. is equal to- Ex.5. f(x) equals - (A) 2 (B) 1/2 (C) 0 (D) 1 (A) 1 (B) 2. (D) Does not exist = [2(1 h)+1]= 3 SOLVED EXAMPLES E. If f() E.,,, th f() f() h h LHL RHL, so / / Lim f() quls - (D) Dos ot ist [( h)+] [(+h) + ] f(). LHL E. RHL h h h / h / h / h / h / h / h As.[C] (D) Dos ot ist LHL RHL, so giv it dos

More information

A general N-dimensional vector consists of N values. They can be arranged as a column or a row and can be real or complex.

A general N-dimensional vector consists of N values. They can be arranged as a column or a row and can be real or complex. Lnr lgr Vctors gnrl -dmnsonl ctor conssts of lus h cn rrngd s column or row nd cn rl or compl Rcll -dmnsonl ctor cn rprsnt poston, loct, or cclrton Lt & k,, unt ctors long,, & rspctl nd lt k h th componnts

More information

MM1. Introduction to State-Space Method

MM1. Introduction to State-Space Method MM Itroductio to Stt-Spc Mthod Wht tt-pc thod? How to gt th tt-pc dcriptio? 3 Proprty Alyi Bd o SS Modl Rdig Mtril: FC: p469-49 C: p- /4/8 Modr Cotrol Wht th SttS tt-spc Mthod? I th tt-pc thod th dyic

More information

Integration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals

Integration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals Intgrtion Continud Intgrtion y Prts Solving Dinit Intgrls: Ar Undr Curv Impropr Intgrls Intgrtion y Prts Prticulrly usul whn you r trying to tk th intgrl o som unction tht is th product o n lgric prssion

More information

GUC (Dr. Hany Hammad) 9/28/2016

GUC (Dr. Hany Hammad) 9/28/2016 U (r. Hny Hd) 9/8/06 ctur # 3 ignl flow grphs (cont.): ignl-flow grph rprsnttion of : ssiv sgl-port dvic. owr g qutions rnsducr powr g. Oprtg powr g. vill powr g. ppliction to Ntwork nlyzr lirtion. Nois

More information

A note on Kumaraswamy Fréchet distribution

A note on Kumaraswamy Fréchet distribution AENSI Jourls Austrl Jourl of Bsc d Appld Sccs ISSN:99-878 Jourl hom pg: wwwswcom A ot o Kumrswmy Frécht dstruto Md M E d 2 Ad-Eltw A R Dprtmt of Sttstcs Fculty of Commrc Zgzg Uvrsty Egypt 2 School of Busss

More information