REPORT No. 1/9_10_01 ROBUST ADAPTIVE CONTROL OF LINEARIZABLE NONLINEAR SINGLE INPUT SYSTEMS *

Size: px
Start display at page:

Download "REPORT No. 1/9_10_01 ROBUST ADAPTIVE CONTROL OF LINEARIZABLE NONLINEAR SINGLE INPUT SYSTEMS *"

Transcription

1 REPORT No. 9_0_0 ROBUT ADAPTIVE CONTROL OF LINEARIZABLE NONLINEAR INGLE INPUT YTEM * Hojn X n Peros A. Ionno Deprmen o Eecrc Enneern - ysems Unersy o ohern Corn Los Anees CA Asrc: The esn o szn conroers or nonner pns wh nnown nonneres s chenn proem. The ny o eny ecy he nonneres on-ne or o-ne moes he esn o szn conroers se on ppromons or on pprome esmes o he pn nonneres. The prce p n sch cse co e c o heorec rnees or o sy nor zero rcn or reon error sey se. In hs pper nonner ros pe conro orhm s esne n nyze or css o sne-np nonner sysems wh nnown nonneres. The conroer rnees cose oop semo sy n conerence o he rcn error o sm res se. The reon o rcon or semo sy epens on he nmer o noes n wehs n he sne yer ner newor se o esme he nnown pn nonneres. The sze o he res se epens on esn prmeers n cn e cce pror. Two empes re se o emonsre he perormnce n properes o he propose scheme. Key wors: Ape conro; nerze sysems; nonner conro; rosness; swchn ncons. * Ths wor s sppore y NF ner rn EC-98779

2 . INTRODUCTION The ron wy o esnn eec conro sysem s se on he se o Lner Tme Inrn LTI moes or he pn. O-ne reqency omn echnqes co e se o sch n LTI moe o epermen n eny s prmeers. In he cse where he prmeers o he LTI moe chne wh me n schen on-ne prmeer encon pe conro ros conro echnqes ec. re eeope oer he yers o ress sch sons. The rence on LTI moes or conro esn prposes oen ps mons on he perormnce mproemen h co e chee or he pn ner conseron. For empe he pn consss o sron nonneres s ppromon y n LTI moe my consery rece he reon o rcon n he presence o srnces n oher moen ncernes. Drn he recen yers consere reserch eors he een me o e wh he esn o szn conroers or csses o nonner pns. These eors re escre n e n recen srey pper Koooc n Arc 00 where ery een n norme hsorc perspece o he eoon o nonner conro esn s presene n scsse. Mos o he recen eors sreye y Koooc n Arc 00 on nonner conro esn ssme h he pn nonneres re nown. The cse where he pn nonneres re procs o nnown consn prmeers wh nown nonneres e rse o nmer o pe conro echnqes Kosmopoos n Ionno 999; Kh 996; Krsc e. 995; Chen n L 994; L n Chen 99; Chen n Kh 99; Kneopoos e. 99; sry n Isor 989; Tyor e In hs pper we conser css o sne np eec nerze nonner pns wh nnown nonneres. We ssme h he pn nonneres re smooh ncons n he nonner ncon mpyn he np sses scen conon h rnees h he pn s conroe. The pn nonner ncons re esme on-ne sn sne yer ner newor. A nonner pe conro w s esne se on hese esmes o ssy cern sy conons ere rom seece Lypno-e ncon. The conro w conns nmer o ros mocons h rnee sn oneness een n he cse where he esme pn oses conroy cern pons n me. The propose conro scheme rnees h or n conons rom reon o rcon whose sze epens mny on he nmer o noes n wehs o he ner newor sns re one n he rcn error coneres o res se whose sze epens on cern esn prmeers. The sze o he res cn e chosen pror y seecn hese prmeers pproprey. eer empes o nonner pns re se o emonsre he ress. Ths pper s ornze s oows: In secon he proem semen n premnres re presene. A ener meho or ppromon o nonner ncons s scsse n secon. In secon 4 new ros pe conro scheme or

3 css o nonner pns s presene n nyze. Two empes re presene n secon 5 o emonsre he properes o he propose pe conro scheme.. PROBLEM TATEMENT AND PRELIMINARIE Conser he sne-np sne op sysem whose eqons o moon cn e epresse n he cnonc orm s: n y where [ L n ] T R n s he scr conro np y s he scr sysem op re compeey nnown smooh ncons n n e. n n. The proem s o esn conro w sch h he op y rcs en esre rjecory y nown smooh ncon o me. Assmpon : s one rom eow y consn.e. n R n he sn o s nown or n R. We ene he scr ncon s he merc or escrn he rcn error ynmcs: n λ e e y y where λ s pose consn enn he nwh o he error ynmcs. The sn srce 0 represens ner eren eqon whose soon mpes h e coneres o zero wh me consn 99. Derenn wh respec o me we on: n λ one n L e n α e n n L α e n n y α n e L αe where α n L α represen he coecens n he Hrwz nom epnson o. Le n n y α n e L e α 4 Then cn e wren n he compc orm: 5

4 I n were compeey nown ncons hen he conro w [ ] 6 co e se o mee he conro ojece proe o corse h he conroy conon 0 or s sse rnee y Assmpon. Usn 6 we on whch mpes h n hereore e 7 0 n- conere o zero eponeny s. In he cse where re nnown 6 cn no oner e se. As n he ner cse we cn se he Cerny Eqence CE prncpe Ionno n n 996 o come p wh n n ess o conro w whch we cn hen moy o mee he sy n conro ojece. Le s hereore sr wh he CE conro w [ ] 8 where he nnown ncons re repce y her esmes o e enere on-ne. In he oown secons we show how o enere n moy he CE conro w n orer o rnee sy n ssy he conro ojece.. APPROXIMATION AND ON-LINE ETIMATION OF THE UNKNOWN NONLINEAR FUNCTION nce n re ssme o e smooh ncons hey cn e pprome sn or empe sne yer ner newor s: 9 0 where n re he ppromon ncons or n respecey re s n ppromon n re chosen ss ncons re he nmer o he noes n re he op wehs or n respecey. The respece ppromon errors re enoe y: 4

5 5 Here s ssme h here es se o op wehs n nmer o noes sch h he smooh ncons n cn e pprome wh ny esre ccrcy 0 n 0 oer compc se n R Ω so h: m m m m Ω 4 As shown n Lppmnn 987; Pr n ner 99; Kosmopoos 995; nner n one n he reerences heren we css o ss ncons n ner newors es o ssy he oe ners ppromon conons 4. In 9 n 0 we ssme h he esner es he nmer o noes. The weh prmeers re o e esme on ne. Le e he esmes o respecey me. Then he esmes o he ppromon ncons me re orme s 5 6 The erence eween he esme n c prmeer es ress n he esmon errors 7 8 where 9 re he prmeer errors. The esmor n prmeer errors re no e or mesremen hereore eqons 7-8 re se ony or nyss. In he oown secon we presen he pe ws h enere he prmeer esmes oeher wh he conro w.

6 6 4. ROBUT ADAPTIVE CONTROL LAW The CE conro w 8 cnno e se o sze he cose oop sysem or nmer o resons. Frs cnno e enere on-ne recy ony cn e se n he conro w. econ he esmes my er consery rom he c ones en o he wron conro con ny. Thr here s no rnee h w no ssme es cose o zero. In sch cse he esme pn s cose o ose conroy en o posse re es or. In orer o e cre o hese proems he CE conro w 8 s moe o: [ ] s s 0 where 0 s esn consn re sm esn consns n < s The prmeers n respecey re pe s oows: sn where [ ] s s 4 s 5 0 re he pe ns chosen y he esner 0 s sm esn prmeer sn s he sn ncon sn 0 n sn- oherwse n s connos swchn ncon en y: < < 0 6

7 where 0 s esn prmeer se o o sconny n s shown rphcy n Fre. A connos swchn ncon shown n Fre nse o sconnos one s se n orer o rnee he esence n nqeness o he soon o he cose-oop sysem Poycrpo n Ionno 99. F.. Connos wchn Fncon By esn he conro w n 0 w neer ecome snr snce 0. Thereore he propose conroer oercomes he cy enconere n mpemenn some pe conro ws where he ene moe ecomes nconroe some pons n me. I s so neresn o noe h 0 wh he sme spee s 0. Ths when he esme o pproches zero he conro np remns one n so reces o zero. In oher wors n sch cse s poness o conro wh ppers o he conroer s nconroe pn. The conro w 0- s esne sn sy n Lypno ype rmens n s properes re escre y he oown heorem. Theorem: Conser he sysem he conro w 0 n he pe ws. I ssmpon hos n sses he conon hen en sm pose nmers n here es pose consns * * * * < < < sch h or * * * * * * m 0 0 Ω n 0 Ω where Ω R n Ω Ω R sns n he cose-oop sysem re one n he rcn error n s eres re one rom oe y n e λ 0 L n. Proo: Le s conser he oown Lypno-e ncon: V 7 7

8 8 The me ere V s hen en y V 8 where 0 or n or. In ew o he pe ws n 0 V or. Thereore he remnn o hs proo es srcy wh he cse o. Frs we nyze he rs erm n V n 8. Le s rewre he conro w n 0 s 9 where s en y: s s 0 In ew o eqon 5 n or cn e wren s: By ssn he conro np 9 n 0 no we on: ] [ ] [ s s ] [ ] [ ] [ Usn he enes 4 ecomes: s s 5 The s erm n 5 represens he eec o he esn consn n he conro w n he ppromon error.

9 9 Dene: 6 6 6c Then s shown n he Appen he soe e o he s erm n cn e epresse s: 7 nce we he 8 n 7 cn e rewren s: 9 Then n ew o 5 n sn 5 n s he rs erm n V s epresse s: 40 Usn 9 n 40 n he men whe nocn 4 we on: 4 In ew o he secon erm n V cn e epresse s: 4 Fny sn he s erm n V cn so e epne s:

10 0 sn 4 Here we he se he eny sn. nce n 0 ony mpes h hen or 0 he sn o s wys he oppose sn o 0. Comnn 4 4 n 4 V sses: V 44 By choosn sch h he oown conons re sse < c 45 m m 45e we on 0 V or 46 0 V or 46 The ress 46- re proe -4 ho. nce -4 ho on compc se.e. Ω ses nee o remn n hs compc se or 0 n orer or he ress o e. Conser he se 0 V V M 47

11 where V 0 V 0 n V 0 s chosen s he res consn or whch M Ω Ω where Ω Ω. Then or 0 Ω n 0 0 Ω oows rom h V s one rom oe y V 0 or 0 whch mpes h Ω Ω 0. Ths mpes h n re one or 0. nce V s one rom eow n s non-ncresn wh me hs m.e. m V V. Usn 46 n he c h 0 or we he m 0 τ τ 0 V 0 V < whch mpes h L. From L oows h sns re one whch mpes h L. From L n L we he 0 s Ionno n n 996. Ths mpes h coneres o he reon whch n rn mpes h he rcn error coneres o sm res se whose sze s chrcerze y he sze o he esn prmeer. We cn so essh h he rcn error n s eres re one rom oe y n e λ 0 L n one n L 99; one n Coesee 986. Remr : I oows rom 45 h he e zone wh n s n mporn esn prmeer o he propose ros pe conroer. nce he rcn error coneres o he res se λ n s 0 he ccrcy o rcn epens on he wh o he e zone. Howeer rom 45 we he.e. epens on he es o n. To on sm rcn errors we nee re n sm n. Dene 4 he prmeer cn e rewren s 4 4. nce 45 reqres < whch n rn reqres < < 4. Ths reqremen cn e sse. A sm e o cn e one y eepn 4 sm. Frhermore snce 4 he es o n 4 epen on he ros. Howeer sm es o reqre rer nmer o noes whch mpes hher orer ner newor. A sm e my mpy rer conro np when s sm. Anoher wy o rece he rcn error s o ncrese he n. Howeer he se o re n s nesre snce w reqre

12 re conro np. Ths here s reo eween he sze o he rcn error he conro n he ppromon error n ros conro eor h he cor cn ow.. The choces o he n he e zone wh epen on he mmm Remr : As we emonsre n secon 5 sn wo empes he esn prmeers cn e chosen o mee he erc neqes en y he heorem. Remr : In he conro w 0 he erms s n s cn e ewe o he roe. Frs hey cnce he ncern prs n e o mocon n he conro w n ppromon errors. econ hey c s spec -mocons Ionno n n 996 n he pe conroer preenn he ncerny erms n rom ecomn none. 5. IMULATION In hs secon we emonsre he properes o he propose pe conro w sn wo empes. Empe : conser he oown secon orer nonner sysem sn4π sn π 4 sn 0.0sn00 π π 48 y where he nonner ncons n prmeers re nnown. The op y n re ssme o e e or mesremen. The op y s reqre o rc esre rjecory ene y sn π. The mne o he y rcn error e y y sey se s reqre o e ess hn A one hen yer r Gssn newor wh T ss ncon ep[ π ξ ξ ] s se o pprome n whch n hs cse re he e nme smooh ncons on compc se Ω Ω Ω where Ω Ω 55. The men ξ s he cener o he r Gssn represenn he smpn r n s he rnce represenn mesre o he wh o he r Gssn. By choosn smpn r wh mesh sze 0.5 n rnce 4π sm norm ppromon on o cn e chee nner n one 99. Frhermore

13 0.99. Noe h 0.0sn00 s consere s srnce erm n s no esme. The es o re chosen o e respecey. Usn 6-c The consns n 0. 0 re chosen sch h conons 45c-e re sse. By seecn λ n he reqremen o rcn error ess hn 0.05 s chee. Gen conon 45 he n s chosen o ssy. 05. Thereore wh e o he rcn error remns one rom oe y Fres n show he smon ress or he rcn error n connos swchn ncon. F. Trcn error rn he rs 0 secons The she nes nce he reqre error on F.. The connos swchn ncon n he pe w rn he rs 4 secons

14 Empe : Conser he oown nonner sysem ep.5cos 49 y where nonner erms n prmeers re nnown. The sysem s ny We e o ree he op y cose o zero ess hn sy. In hs empe one hen yer r Gssn ner newor s se o pprome he nnown nonneres on compc se Ω Ω Ω where Ω 88 Ω 88. The ppromon errors re one y o-ne smons n rnn. In hs empe. The es o re chosen o e respecey. Usn 6-c we on The consns n 00 re chosen sch h conons 45-e re sse. By seecn λ he mne o he reon error s rnee o e one rom oe y A n es or 0 0 re en zero. Fre 4 n 5 show he smon ress o he reon error n connos swchn ncon respecey. F. 4. The reon o op rn he rs secon Fre 5 emonsres h swchn sops er n n ernn se n coneres o consn wh no rher swchn. 4

15 F. 5. The swchn ncon rn he rs secon 6. CONCLUION In hs pper we conser he conro proem o sne np eec nerze nonner sysem wh nnown nonneres. The nonneres re ssme o e smooh ncons n s sch cn e pprome n esme onne sn sne yer ner newor. A ros pe conroer scheme s esne h ses he esme nonner ncons n empoys nmer o ros mocons n orer o compense or ncernes n he esmon. The conro scheme rnees semo sy n conerence o he rcn error o sm res se whose sze epens on cern esn prmeers. emo sy s chrcerze y reon o rcon or sy whose sze epens on he noes o he ner newor se o pprome he nonner ncons o he pn. Or ress presen mehoooy or choosn ros esn prmeers so h he rcn error s rnee o conere n remn whn esre ons sey se. The eenson o hese ress o wer css o nonner sysem s crreny ner neson. REFERENCE Chen F.-C. n C.-C. L 994. Apey Conron Nonner Connos-Tme ysems Usn Myer Ner Newors IEEE Trnscon on Aom. Conr Chen F.-C. n H. K. Kh 99. Ape Conro o Nonner ysems Usn Ner Newors In. J. Conro Ionno P. A. n J. n 996. Ros Ape Conro Prence H Upper e Rer NJ. 5

16 Kneopoos I. P. Koooc n A.. Morse 99. ysemc Desn o Ape Conroers or Feec Lnerze ysems IEEE Trns. Aom. Conr Kh H. K Ape Op Feec Conro o Nonner ysems Represene y Inp-Op Moes IEEE Trns. Aom. Conr Koooc P. n M. Arc 00. Consrce Nonner Conro: A Hsorc Perspece Aomc Kosmopoos E. B. M. M. Poycrpo M. A. Chrsooo n P. A. Ionno 995. Hh-Orer Ner Newor rcres or Iencon o Dynmc ysems IEEE Trns. Ner Newors Kosmopoos E. B. n P. A. Ionno 999. A wchn Ape Conroer or Feec Lnerze ysems IEEE Trns. Aom. Conr Krsc M. I. Kneopoos n P. Koooc 995. Nonner n Ape Conro Desn New Yor: Wey. Lppmnn R. P An Inrocon o Compn wh Ner Nes IEEE AP Mzne 4-. L C.-C. n F.-C. Chen 99. Ape conro o nonner connos-me sysems sn ner newors ener ree eree n MIMO cses In. J. Conro Pr J. n I. W. ner 99. Appromon n R-Bss-Fncon Newors Ner Compon Poycrpo M. M. n P. A. Ionno 99. On he Esence n Unqeness o oons n Ape Conro ysems IEEE Trns. Aom. Conr nner R. n J. E. one 99. e Ape Conro n Recrse Iencon Usn R Gssn Newors In Proc. 0 h Conerence on Decson n Conro Brhon Enn 6-. nner R. n J. E. one 99. Gssn newors or Drec Ape Conro IEEE Trns. Ner Newors nner R. n J. E. one 994. Fncon Appromon Ner Newors n Ape Nonner Conro In Proc. Amercn Conr. Conerence 5-. sry.. n A. Isor 989. Ape Conro o Lnerze ysems IEEE Trns. Aom. Conr one J. E. n J. A. Coesee 986. Ape n Conroer ynhess or non-ner ysems In. J. Conro one J.E. n W. L 99. Appe nonner conro Prence H Enewoo Cs NJ. Tyor D. P. V. Koooc R. Mrno n I. Kneopoos 989. Ape Reon o Nonner ysems wh Unmoee Dynmcs IEEE Trns. Aom. Conr

17 7 APPENDIX-PROOF OF INEQUALITY 7 In hs ppen we proe neqy 7 se n he proo o heorem. Le s sr wh he eqy A. From 4 0 he ncon cn e wren s: A. Then A. nce A. cn e wren s A.4 sn no A.4 we on A.5 Usn A. oows h A.6 From A.6 he conro w cn e epresse s A.7 Usn he c we he A.8 nce A. cn so e wren s A.9

18 8 we he A.0 Thereore cn e epresse s A. n A. Usn A.8 n A. he soe e o he secon erm n A. cn e wren n he oown orm: A. The rs erm n A. cn e wren s: A.4 nce 0 ony we on: A.5 From A. n A.5 7 oows.e.

19 9 A.6 where re s ene n 6-c.

1.B Appendix to Chapter 1

1.B Appendix to Chapter 1 Secon.B.B Append o Chper.B. The Ordnr Clcl Here re led ome mporn concep rom he ordnr clcl. The Dervve Conder ncon o one ndependen vrble. The dervve o dened b d d lm lm.b. where he ncremen n de o n ncremen

More information

NUMERICAL SOLUTION OF THIN FILM EQUATION IN A CLASS OF DISCONTINUOUS FUNCTIONS

NUMERICAL SOLUTION OF THIN FILM EQUATION IN A CLASS OF DISCONTINUOUS FUNCTIONS Eropen Scenfc Jornl Ags 5 /SPECAL/ eon SSN: 857 788 Prn e - SSN 857-74 NMERCAL SOLON OF HN FLM EQAON N A CLASS OF DSCONNOS FNCONS Bn Snsoysl Assoc Prof Mr Rslov Prof Beyen nversy Deprmen of Memcs n Compng

More information

Introduction. Voice Coil Motors. Introduction - Voice Coil Velocimeter Electromechanical Systems. F = Bli

Introduction. Voice Coil Motors. Introduction - Voice Coil Velocimeter Electromechanical Systems. F = Bli UNIVERSITY O TECHNOLOGY, SYDNEY ACULTY O ENGINEERING 4853 Elecroechncl Syses Voce Col Moors Topcs o cover:.. Mnec Crcus 3. EM n Voce Col 4. orce n Torque 5. Mhecl Moel 6. Perornce Voce cols re wely use

More information

EL-GENDI NODAL GALERKIN METHOD FOR SOLVING LINEAR AND NONLINEAR PARTIAL FRACTIONAL SPACE EQUATIONS

EL-GENDI NODAL GALERKIN METHOD FOR SOLVING LINEAR AND NONLINEAR PARTIAL FRACTIONAL SPACE EQUATIONS Inernon Jorn o es Reserch n Scence nd Technoogy Vome Isse 6: Pge o-7 ovemer-ecemer 3 hp://wwwmnornscom/rshm ISS (Onne):78-599 E-GEI OA GAERKI ETO FOR SOVIG IEAR A OIEAR PARTIA FRACTIOA SPACE EQATIOS *

More information

The Characterization of Jones Polynomial. for Some Knots

The Characterization of Jones Polynomial. for Some Knots Inernon Mhemc Forum,, 8, no, 9 - The Chrceron of Jones Poynom for Some Knos Mur Cncn Yuuncu Y Ünversy, Fcuy of rs nd Scences Mhemcs Deprmen, 8, n, Turkey m_cencen@yhoocom İsm Yr Non Educon Mnsry, 8, n,

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

A Kalman filtering simulation

A Kalman filtering simulation A Klmn filering simulion The performnce of Klmn filering hs been esed on he bsis of wo differen dynmicl models, ssuming eiher moion wih consn elociy or wih consn ccelerion. The former is epeced o beer

More information

Chapters 2 Kinematics. Position, Distance, Displacement

Chapters 2 Kinematics. Position, Distance, Displacement Chapers Knemacs Poson, Dsance, Dsplacemen Mechancs: Knemacs and Dynamcs. Knemacs deals wh moon, bu s no concerned wh he cause o moon. Dynamcs deals wh he relaonshp beween orce and moon. The word dsplacemen

More information

EEM 486: Computer Architecture

EEM 486: Computer Architecture EEM 486: Compuer Archecure Lecure 4 ALU EEM 486 MIPS Arhmec Insrucons R-ype I-ype Insrucon Exmpe Menng Commen dd dd $,$2,$3 $ = $2 + $3 sub sub $,$2,$3 $ = $2 - $3 3 opernds; overfow deeced 3 opernds;

More information

Chapter 2. Review of Hydrodynamics and Vector Analysis

Chapter 2. Review of Hydrodynamics and Vector Analysis her. Ree o Hdrodmcs d Vecor Alss. Tlor seres L L L L ' ' L L " " " M L L! " ' L " ' I s o he c e romed he Tlor seres. O he oher hd ' " L . osero o mss -dreco: L L IN ] OUT [mss l [mss l] mss ccmled h me

More information

PHYS 1443 Section 001 Lecture #4

PHYS 1443 Section 001 Lecture #4 PHYS 1443 Secon 001 Lecure #4 Monda, June 5, 006 Moon n Two Dmensons Moon under consan acceleraon Projecle Moon Mamum ranges and heghs Reerence Frames and relae moon Newon s Laws o Moon Force Newon s Law

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

An object moving with speed v around a point at distance r, has an angular velocity. m/s m

An object moving with speed v around a point at distance r, has an angular velocity. m/s m Roion The mosphere roes wih he erh n moions wihin he mosphere clerly follow cure phs (cyclones, nicyclones, hurricnes, ornoes ec.) We nee o epress roion quniiely. For soli objec or ny mss h oes no isor

More information

An Optimization Model for Empty Container Reposition under Uncertainty

An Optimization Model for Empty Container Reposition under Uncertainty n Omzon Mode o Emy onne Reoson nde neny eodo be n Demen o Mnemen nd enooy QM nd ene de Reee s es nsos Moné nd Mssmo D Fneso Demen o Lnd Enneen nesy o Iy o Zdds Demen o Lnd Enneen nesy o Iy Inodon. onne

More information

Background and Motivation: Importance of Pressure Measurements

Background and Motivation: Importance of Pressure Measurements Imornce of Pressre Mesremens: Pressre s rmry concern for mny engneerng lcons e.g. lf nd form drg. Cvon : Pressre s of fndmenl mornce n ndersndng nd modelng cvon. Trblence: Velocy-Pressre-Grden ensor whch

More information

Chapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are

Chapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are Chaper 6 DCIO AD IMAIO: Fndaenal sses n dgal concaons are. Deecon and. saon Deecon heory: I deals wh he desgn and evalaon of decson ang processor ha observes he receved sgnal and gesses whch parclar sybol

More information

The Mathematics of Harmonic Oscillators

The Mathematics of Harmonic Oscillators Th Mhcs of Hronc Oscllors Spl Hronc Moon In h cs of on-nsonl spl hronc oon (SHM nvolvng sprng wh sprng consn n wh no frcon, you rv h quon of oon usng Nwon's scon lw: con wh gvs: 0 Ths s sos wrn usng h

More information

GENESIS. God makes the world

GENESIS. God makes the world GENESIS 1 Go me he or 1 I he be Go me he b heve he erh everyh hh p he y. 2 There oh o he e erh. Noh ve here, oh *o ve here. There oy e eep er over he erh. There o h. I very r. The f Spr of Go move over

More information

Chapter 6 Plane Motion of Rigid Bodies

Chapter 6 Plane Motion of Rigid Bodies Chpe 6 Pne oon of Rd ode 6. Equon of oon fo Rd bod. 6., 6., 6.3 Conde d bod ced upon b ee een foce,, 3,. We cn ume h he bod mde of e numbe n of pce of m Δm (,,, n). Conden f he moon of he m cene of he

More information

Physics 201 Lecture 2

Physics 201 Lecture 2 Physcs 1 Lecure Lecure Chper.1-. Dene Poson, Dsplcemen & Dsnce Dsngush Tme nd Tme Inerl Dene Velocy (Aerge nd Insnneous), Speed Dene Acceleron Undersnd lgebrclly, hrough ecors, nd grphclly he relonshps

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

1. Consider a PSA initially at rest in the beginning of the left-hand end of a long ISS corridor. Assume xo = 0 on the left end of the ISS corridor.

1. Consider a PSA initially at rest in the beginning of the left-hand end of a long ISS corridor. Assume xo = 0 on the left end of the ISS corridor. In Eercise 1, use sndrd recngulr Cresin coordine sysem. Le ime be represened long he horizonl is. Assume ll ccelerions nd decelerions re consn. 1. Consider PSA iniilly res in he beginning of he lef-hnd

More information

Stochastic Programming handling CVAR in objective and constraint

Stochastic Programming handling CVAR in objective and constraint Sochasc Programmng handlng CVAR n obecve and consran Leondas Sakalaskas VU Inse of Mahemacs and Informacs Lhana ICSP XIII Jly 8-2 23 Bergamo Ialy Olne Inrodcon Lagrangan & KKT condons Mone-Carlo samplng

More information

Characteristic Function for the Truncated Triangular Distribution., Myron Katzoff and Rahul A. Parsa

Characteristic Function for the Truncated Triangular Distribution., Myron Katzoff and Rahul A. Parsa Secion on Survey Reserch Mehos JSM 009 Chrcerisic Funcion for he Trunce Tringulr Disriuion Jy J. Kim 1 1, Myron Kzoff n Rhul A. Prs 1 Nionl Cener for Helh Sisics, 11Toleo Ro, Hysville, MD. 078 College

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

15/03/1439. Lecture 4: Linear Time Invariant (LTI) systems

15/03/1439. Lecture 4: Linear Time Invariant (LTI) systems Lecre 4: Liner Time Invrin LTI sysems 2. Liner sysems, Convolion 3 lecres: Implse response, inp signls s coninm of implses. Convolion, discree-ime nd coninos-ime. LTI sysems nd convolion Specific objecives

More information

F l a s h-b a s e d S S D s i n E n t e r p r i s e F l a s h-b a s e d S S D s ( S o-s ltiad t e D r i v e s ) a r e b e c o m i n g a n a t t r a c

F l a s h-b a s e d S S D s i n E n t e r p r i s e F l a s h-b a s e d S S D s ( S o-s ltiad t e D r i v e s ) a r e b e c o m i n g a n a t t r a c L i f e t i m e M a n a g e m e n t o f F l a-b s ah s e d S S D s U s i n g R e c o v e r-a y w a r e D y n a m i c T h r o t t l i n g S u n g j i n L e, e T a e j i n K i m, K y u n g h o, Kainmd J

More information

Average & instantaneous velocity and acceleration Motion with constant acceleration

Average & instantaneous velocity and acceleration Motion with constant acceleration Physics 7: Lecure Reminders Discussion nd Lb secions sr meeing ne week Fill ou Pink dd/drop form if you need o swich o differen secion h is FULL. Do i TODAY. Homework Ch. : 5, 7,, 3,, nd 6 Ch.: 6,, 3 Submission

More information

1.2. Paths, Cycles, and Trails

1.2. Paths, Cycles, and Trails 2301-670 Grph heory 1.2 Ph, Cyle, n Trl 1 emeer 2550 1 1.2. Ph, Cyle, n Trl 1.2.2. Defnon. Le G e grph. A lk l 0, e 1, 1,, e k, k of ere n ege h h, for 1 k, he ege e h en pon -1 n. A rl lk h no repee ege.

More information

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005. Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so

More information

FAIPA_SAND: An Interior Point Algorithm for Simultaneous ANalysis and Design Optimization

FAIPA_SAND: An Interior Point Algorithm for Simultaneous ANalysis and Design Optimization FAIPA_AN: An Ineror Pon Algorhm for mlaneos ANalyss an esgn Opmzaon osé Hersos*, Palo Mappa* an onel llen** *COPPE / Feeral Unersy of Ro e anero, Mechancal Engneerng Program, Caa Posal 6853, 945 97 Ro

More information

Hyperbolic Heat Equation as Mathematical Model for Steel Quenching of L-shape and T-shape Samples, Direct and Inverse Problems

Hyperbolic Heat Equation as Mathematical Model for Steel Quenching of L-shape and T-shape Samples, Direct and Inverse Problems SEAS RANSACIONS o HEA MASS RANSER Bos M Be As Bs Hpeo He Eo s Me Moe o See Qe o L-spe -spe Spes De Iese Poes ABIA BOBINSKA o Pss Mes es o L Ze See 8 L R LAIA e@o MARARIA BIKE ANDRIS BIKIS Ise o Mes Cope

More information

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel Inersymol nererence ISI ISI s a sgnal-dependen orm o nererence ha arses ecause o devaons n he requency response o a channel rom he deal channel. Example: Bandlmed channel Tme Doman Bandlmed channel Frequency

More information

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL UPB Sc B See A Vo 72 I 3 2 ISSN 223-727 MUTIPE -HYBRID APACE TRANSORM AND APPICATIONS TO MUTIDIMENSIONA HYBRID SYSTEMS PART II: DETERMININ THE ORIINA Ve PREPEIŢĂ Te VASIACHE 2 Ace co copeeă oă - pce he

More information

Chapter 2. Motion along a straight line. 9/9/2015 Physics 218

Chapter 2. Motion along a straight line. 9/9/2015 Physics 218 Chper Moion long srigh line 9/9/05 Physics 8 Gols for Chper How o describe srigh line moion in erms of displcemen nd erge elociy. The mening of insnneous elociy nd speed. Aerge elociy/insnneous elociy

More information

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations. Soluons o Ordnary Derenal Equaons An ordnary derenal equaon has only one ndependen varable. A sysem o ordnary derenal equaons consss o several derenal equaons each wh he same ndependen varable. An eample

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( )

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( ) Clculu 4, econ Lm/Connuy & Devve/Inel noe y Tm Plchow, wh domn o el Wh we hve o : veco-vlued uncon, ( ) ( ) ( ) j ( ) nume nd ne o veco The uncon, nd A w done wh eul uncon ( x) nd connuy e he componen

More information

4. Runge-Kutta Formula For Differential Equations

4. Runge-Kutta Formula For Differential Equations NCTU Deprme o Elecrcl d Compuer Egeerg 5 Sprg Course by Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos To solve e derel equos umerclly e mos useul ormul s clled Ruge-Ku ormul

More information

Minimum Squared Error

Minimum Squared Error Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > for ll smples y i solve sysem of liner inequliies MSE procedure y i = i for ll smples

More information

Minimum Squared Error

Minimum Squared Error Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > 0 for ll smples y i solve sysem of liner inequliies MSE procedure y i i for ll smples

More information

FM Applications of Integration 1.Centroid of Area

FM Applications of Integration 1.Centroid of Area FM Applicions of Inegrion.Cenroid of Are The cenroid of ody is is geomeric cenre. For n ojec mde of uniform meril, he cenroid coincides wih he poin which he ody cn e suppored in perfecly lnced se ie, is

More information

STATE OF NORTH CAROLINA DIVISION OF HIGHWAYS BLADEN COUNTY LOCATION: NC 87 AT US 701 INTERSECTION WETLAND AND SURFACE WATER IMPACTS PERMIT TO NC 41

STATE OF NORTH CAROLINA DIVISION OF HIGHWAYS BLADEN COUNTY LOCATION: NC 87 AT US 701 INTERSECTION WETLAND AND SURFACE WATER IMPACTS PERMIT TO NC 41 am keeer :\Hyraulcs\ _nvronm enal\rawngs\_hy_prm_we_hgn $$$$$$Y$$$$$ $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ $$$$U$$$$ : J: : ee hee or nex of hees ee hee or onvenonal ymols ee hees an for urvey onrol hees J

More information

Support vector machines for regression

Support vector machines for regression S 75 Mchne ernng ecture 5 Support vector mchnes for regresson Mos Huskrecht mos@cs.ptt.edu 539 Sennott Squre S 75 Mchne ernng he decson oundr: ˆ he decson: Support vector mchnes ˆ α SV ˆ sgn αˆ SV!!: Decson

More information

Wave Phenomena Physics 15c

Wave Phenomena Physics 15c Wv hnon hyscs 5c cur 4 Coupl Oscllors! H& con 4. Wh W D s T " u forc oscllon " olv h quon of oon wh frcon n foun h sy-s soluon " Oscllon bcos lr nr h rsonnc frquncy " hs chns fro 0 π/ π s h frquncy ncrss

More information

1. Consider an economy of identical individuals with preferences given by the utility function

1. Consider an economy of identical individuals with preferences given by the utility function CO 755 Problem Se e Cbrer. Cosder ecoomy o decl dduls wh reereces e by he uly uco U l l Pre- rces o ll hree oods re ormled o oe. Idduls suly ood lbor < d cosume oods d. The oerme c mose d lorem es o oods

More information

0# E % D 0 D - C AB

0# E % D 0 D - C AB 5-70,- 393 %& 44 03& / / %0& / / 405 4 90//7-90/8/3 ) /7 0% 0 - @AB 5? 07 5 >0< 98 % =< < ; 98 07 &? % B % - G %0A 0@ % F0 % 08 403 08 M3 @ K0 J? F0 4< - G @ I 0 QR 4 @ 8 >5 5 % 08 OF0 80P 0O 0N 0@ 80SP

More information

SVMs for regression Non-parametric/instance based classification method

SVMs for regression Non-parametric/instance based classification method S 75 Mchne ernng ecture Mos Huskrecht mos@cs.ptt.edu 539 Sennott Squre SVMs for regresson Non-prmetrc/nstnce sed cssfcton method S 75 Mchne ernng Soft-mrgn SVM Aos some fet on crossng the seprtng hperpne

More information

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula NCTU Deprme o Elecrcl d Compuer Egeerg Seor Course By Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos A. Euler Formul B. Ruge-Ku Formul C. A Emple or Four-Order Ruge-Ku Formul

More information

I. G. PETROVSKY LECTURES ON PARTIAL DIFFERENTIAL EQUATIONS FIRST ENGLISH EDITION 1954

I. G. PETROVSKY LECTURES ON PARTIAL DIFFERENTIAL EQUATIONS FIRST ENGLISH EDITION 1954 I. G. PETROVSKY LECTURES ON PARTIAL DIFFERENTIAL EQUATIONS FIRST ENGLISH EDITION 954 CONTENTS Forewor b R. Coran Translaor's Noe b Abe Shenzer Preface Chaper I. Inrocon. Classfcaon of eqaons. Defnons.

More information

Conquering kings their titles take ANTHEM FOR CONGREGATION AND CHOIR

Conquering kings their titles take ANTHEM FOR CONGREGATION AND CHOIR Coquerg gs her es e NTHEM FOR CONGREGTION ND CHOIR I oucg hs hm-hem, whch m be cuded Servce eher s Hm or s hem, he Cogrego m be referred o he No. of he Hm whch he words pper, d ved o o sgg he 1 s, 4 h,

More information

Caputo Equations in the frame of fractional operators with Mittag-Leffler kernels

Caputo Equations in the frame of fractional operators with Mittag-Leffler kernels nvenon Jounl o Reseh Tehnoloy n nneen & Mnemen JRTM SSN: 455-689 wwwjemom Volume ssue 0 ǁ Ooe 08 ǁ PP 9-45 Cuo uons n he me o onl oeos wh M-ele enels on Qn Chenmn Hou* Ynn Unvesy Jln Ynj 00 ASTRACT: n

More information

September 20 Homework Solutions

September 20 Homework Solutions College of Engineering nd Compuer Science Mechnicl Engineering Deprmen Mechnicl Engineering A Seminr in Engineering Anlysis Fll 7 Number 66 Insrucor: Lrry Creo Sepember Homework Soluions Find he specrum

More information

1. Introduction. ) only ( See theorem

1. Introduction. ) only ( See theorem O Sovbiiy or Higher Order Prboic Eqios Mrí López Mores Deprme o Comper Sciece Moerrey Isie o echoogy Meico Ciy Cmps Ce de PeeNo Ejidos de HipcopCP438 Meico DF MEXICO Absrc: - We cosider he Cchy probem

More information

Chapter 2 Linear Mo on

Chapter 2 Linear Mo on Chper Lner M n .1 Aerge Velcy The erge elcy prcle s dened s The erge elcy depends nly n he nl nd he nl psns he prcle. Ths mens h prcle srs rm pn nd reurn bck he sme pn, s dsplcemen, nd s s erge elcy s

More information

Interval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X

Interval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X ECON 37: Ecoomercs Hypohess Tesg Iervl Esmo Wh we hve doe so fr s o udersd how we c ob esmors of ecoomcs reloshp we wsh o sudy. The queso s how comforble re we wh our esmors? We frs exme how o produce

More information

Use 10 m/s 2 for the acceleration due to gravity.

Use 10 m/s 2 for the acceleration due to gravity. ANSWERS Prjecle mn s he ecrl sum w ndependen elces, hrznl cmpnen nd ercl cmpnen. The hrznl cmpnen elcy s cnsn hrughu he mn whle he ercl cmpnen elcy s dencl ree ll. The cul r nsnneus elcy ny pn lng he prblc

More information

On Convergence Rate of Concave-Convex Procedure

On Convergence Rate of Concave-Convex Procedure On Converence Rae o Concave-Conve Proceure Ian E.H. Yen Nanun Pen Po-We Wan an Shou-De Ln Naonal awan Unvers OP 202 Oulne Derence o Conve Funcons.c. Prora Applcaons n SVM leraure Concave-Conve Proceure

More information

An Improvement on Disc Separation of the Schur Complement and Bounds for Determinants of Diagonally Dominant Matrices

An Improvement on Disc Separation of the Schur Complement and Bounds for Determinants of Diagonally Dominant Matrices ISSN 746-7659, Egd, UK Jor of Iformo d Compg See Vo. 5, No. 3, 2, pp. 224-232 A Improveme o Ds Sepro of he Shr Compeme d Bods for Deerms of Dgoy Dom Mres Zhohog Hg, Tgzh Hg Shoo of Mhem Sees, Uversy of

More information

MODEL SOLUTIONS TO IIT JEE ADVANCED 2014

MODEL SOLUTIONS TO IIT JEE ADVANCED 2014 MODEL SOLUTIONS TO IIT JEE ADVANCED Pper II Code PART I 6 7 8 9 B A A C D B D C C B 6 C B D D C A 7 8 9 C A B D. Rhc(Z ). Cu M. ZM Secon I K Z 8 Cu hc W mu hc 8 W + KE hc W + KE W + KE W + KE W + KE (KE

More information

Rotations.

Rotations. oons j.lbb@phscs.o.c.uk To s summ Fmes of efeence Invnce une nsfomons oon of wve funcon: -funcons Eule s ngles Emple: e e - - Angul momenum s oon geneo Genec nslons n Noehe s heoem Fmes of efeence Conse

More information

Laplace Examples, Inverse, Rational Form

Laplace Examples, Inverse, Rational Form Lecure 3 Ouline: Lplce Exple, Invere, Rionl For Announceen: Rein: 6: Lplce Trnfor pp. 3-33, 55.5-56.5, 7 HW 8 poe, ue nex We. Free -y exenion OcenOne Roo Tour will e fer cl y 7 (:3-:) Lunch provie ferwr.

More information

Solution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs

Solution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs Aalable a hp://paed/aa Appl Appl Mah ISS: 9-9466 Vol 0 Isse (Deceber 0) pp 04- Applcaos ad Appled Maheacs: A Ieraoal Joral (AAM) Solo o Soe Ope Probles o E-sper Verex Magc Toal Labelg o Graphs G Marh MS

More information

trawhmmry ffimmf,f;wnt

trawhmmry ffimmf,f;wnt r nsr rwry fff,f;wn My 26, $51 Swe, k "Te Srwberry Cp f e Vr,, c) [ re ers 6 (, r " * f rn ff e # s S,r,* )er*,3n*,.\ ) x 8 2 n v c e 6 r D r, } e ;s 1 :n..< Z r : 66 3 X f; 1r_ X r { j r Z r 1r 3r B s

More information

Normal Random Variable and its discriminant functions

Normal Random Variable and its discriminant functions Noral Rando Varable and s dscrnan funcons Oulne Noral Rando Varable Properes Dscrnan funcons Why Noral Rando Varables? Analycally racable Works well when observaon coes for a corruped snle prooype 3 The

More information

Motion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration.

Motion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration. Moion Accelerion Pr : Consn Accelerion Accelerion Accelerion Accelerion is he re of chnge of velociy. = v - vo = Δv Δ ccelerion = = v - vo chnge of velociy elpsed ime Accelerion is vecor, lhough in one-dimensionl

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

UBI External Keyboard Technical Manual

UBI External Keyboard Technical Manual UI Eer eyor ei u EER IORIO ppiio o Ue ouiio e Eer eyor rie uer 12911 i R 232 eyor iee or oeio o e re o UI Eyoer prier Eyoer 11 Eyoer 21 II Eyoer 41 Eyoer 1 Eyoer 1 e eyor o e ue or oer UI prier e e up

More information

Go over vector and vector algebra Displacement and position in 2-D Average and instantaneous velocity in 2-D Average and instantaneous acceleration

Go over vector and vector algebra Displacement and position in 2-D Average and instantaneous velocity in 2-D Average and instantaneous acceleration Mh Csquee Go oe eco nd eco lgeb Dsplcemen nd poson n -D Aege nd nsnneous eloc n -D Aege nd nsnneous cceleon n -D Poecle moon Unfom ccle moon Rele eloc* The componens e he legs of he gh ngle whose hpoenuse

More information

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9 OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at

More information

Solutions to Problems from Chapter 2

Solutions to Problems from Chapter 2 Soluions o Problems rom Chper Problem. The signls u() :5sgn(), u () :5sgn(), nd u h () :5sgn() re ploed respecively in Figures.,b,c. Noe h u h () :5sgn() :5; 8 including, bu u () :5sgn() is undeined..5

More information

Physics Notes - Ch. 2 Motion in One Dimension

Physics Notes - Ch. 2 Motion in One Dimension Physics Noes - Ch. Moion in One Dimension I. The naure o physical quaniies: scalars and ecors A. Scalar quaniy ha describes only magniude (how much), NOT including direcion; e. mass, emperaure, ime, olume,

More information

e t dt e t dt = lim e t dt T (1 e T ) = 1

e t dt e t dt = lim e t dt T (1 e T ) = 1 Improper Inegrls There re wo ypes of improper inegrls - hose wih infinie limis of inegrion, nd hose wih inegrnds h pproch some poin wihin he limis of inegrion. Firs we will consider inegrls wih infinie

More information

Physics 15 Second Hour Exam

Physics 15 Second Hour Exam hc 5 Second Hou e nwe e Mulle hoce / ole / ole /6 ole / ------------------------------- ol / I ee eone ole lee how ll wo n ode o ecee l ced. I ou oluon e llegle no ced wll e gen.. onde he collon o wo 7.

More information

Released Assessment Questions, 2017 QUESTIONS

Released Assessment Questions, 2017 QUESTIONS Relese Assessmen Quesions, 17 QUESTIONS Gre 9 Assessmen of Mhemis Aemi Re he insruions elow. Along wih his ookle, mke sure ou hve he Answer Bookle n he Formul Shee. You m use n spe in his ook for rough

More information

( 1) β function for the Higgs quartic coupling λ in the standard model (SM) h h. h h. vertex correction ( h 1PI. Σ y. counter term Λ Λ.

( 1) β function for the Higgs quartic coupling λ in the standard model (SM) h h. h h. vertex correction ( h 1PI. Σ y. counter term Λ Λ. funon for e Hs uar oun n e sanar moe (SM verex >< sef-ener ( PI Π ( - ouner erm ( m, ( Π m s fne Π s fne verex orreon ( PI Σ (,, ouner erm, ( reen funon ({ } Σ s fne Λ Λ Bn A n ( Caan-Smanz euaon n n (

More information

Republic of tlre Ph?lippines OEPARTMENT OF EDUCATION

Republic of tlre Ph?lippines OEPARTMENT OF EDUCATION Repb re Ph?ppnes OPARTMT O DATO Ren V& AABARZO w ss Ds ABYA TORADT TO: ROM SBT: DAT Asssn Shs Dsn Speenen O he Sr emne n Operns Dbn O he nr:m mpemenn Dsbn Pb n Pre emenry, Senry n Senr h Sr es Ahers neme

More information

Lecture 2 M/G/1 queues. M/G/1-queue

Lecture 2 M/G/1 queues. M/G/1-queue Lecure M/G/ queues M/G/-queue Posson arrval process Arbrary servce me dsrbuon Sngle server To deermne he sae of he sysem a me, we mus now The number of cusomers n he sysems N() Tme ha he cusomer currenly

More information

PHYSICS 1210 Exam 1 University of Wyoming 14 February points

PHYSICS 1210 Exam 1 University of Wyoming 14 February points PHYSICS 1210 Em 1 Uniersiy of Wyoming 14 Februry 2013 150 poins This es is open-noe nd closed-book. Clculors re permied bu compuers re no. No collborion, consulion, or communicion wih oher people (oher

More information

Relative controllability of nonlinear systems with delays in control

Relative controllability of nonlinear systems with delays in control Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.

More information

P-Convexity Property in Musielak-Orlicz Function Space of Bohner Type

P-Convexity Property in Musielak-Orlicz Function Space of Bohner Type J N Sce & Mh Res Vol 3 No (7) -7 Alble ole h://orlwlsogocd/deh/sr P-Coey Proery Msel-Orlcz Fco Sce o Boher ye Yl Rodsr Mhecs Edco Deree Fcly o Ss d echology Uerss sl Neger Wlsogo Cerl Jdoes Absrcs Corresodg

More information

CSE 5365 Computer Graphics. Take Home Test #1

CSE 5365 Computer Graphics. Take Home Test #1 CSE 5365 Comper Graphics Take Home Tes #1 Fall/1996 Tae-Hoon Kim roblem #1) A bi-cbic parameric srface is defined by Hermie geomery in he direcion of parameer. In he direcion, he geomery ecor is defined

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

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

Classification of Equations Characteristics

Classification of Equations Characteristics Clssiiion o Eqions Cheisis Consie n elemen o li moing in wo imensionl spe enoe s poin P elow. The ph o P is inie he line. The posiion ile is s so h n inemenl isne long is s. Le he goening eqions e epesene

More information

SOME USEFUL MATHEMATICS

SOME USEFUL MATHEMATICS SOME USEFU MAHEMAICS SOME USEFU MAHEMAICS I is esy o mesure n preic he behvior of n elecricl circui h conins only c volges n currens. However, mos useful elecricl signls h crry informion vry wih ime. Since

More information

Contraction Mapping Principle Approach to Differential Equations

Contraction Mapping Principle Approach to Differential Equations epl Journl of Science echnology 0 (009) 49-53 Conrcion pping Principle pproch o Differenil Equions Bishnu P. Dhungn Deprmen of hemics, hendr Rn Cmpus ribhuvn Universiy, Khmu epl bsrc Using n eension of

More information

400±10 THIS DRAWING IS A CONTROLLED DOCUMENT. DIMENSIONING AND TOLERANCING PER GPS (ISO STANDARDS). CHK

400±10 THIS DRAWING IS A CONTROLLED DOCUMENT. DIMENSIONING AND TOLERANCING PER GPS (ISO STANDARDS). CHK HIS RWING IS UNPUISHE. VERRUIHE UNVEROEFFENIHE ZEIHNUNG OPYRIGH0 Y YO EERONIS ORPORION. REESE FOR PUIION FREI FUER VEROEFFENIHUNG RIGHS RESERVE. E REHE VOREHEN. HE RWING SHOWS HE IMENSION REFERENE OMPONEN

More information

MTH 146 Class 11 Notes

MTH 146 Class 11 Notes 8.- Are of Surfce of Revoluion MTH 6 Clss Noes Suppose we wish o revolve curve C round n is nd find he surfce re of he resuling solid. Suppose f( ) is nonnegive funcion wih coninuous firs derivive on he

More information

STA6E NO, LR. Council DeIegote Iouncit Seol. Dqte / / Re-centif. IounciI Delegote Iouncil Seol. Dqie. Sl-oging. This is noi o sionpd subdivision

STA6E NO, LR. Council DeIegote Iouncit Seol. Dqte / / Re-centif. IounciI Delegote Iouncil Seol. Dqie. Sl-oging. This is noi o sionpd subdivision S6, LR PL SBDVS ue ny D Pn umber PS5 4627 Lcqn Ln Pr PHLLP SLD 0WS wnp Secn rwn [[men 15(P, 16 & 17 rwn P e Reerence L Pn Reerence L PS524867K P re c me ubvn MG e n nnnv n n n n pn v01.1028 0L.85 SLM RD

More information

Department of Economics University of Toronto

Department of Economics University of Toronto Deparmen of Economcs Unversy of Torono ECO408F M.A. Economercs Lecure Noes on Heeroskedascy Heeroskedascy o Ths lecure nvolves lookng a modfcaons we need o make o deal wh he regresson model when some of

More information

Chapter Three Systems of Linear Differential Equations

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

More information

Supporting information How to concatenate the local attractors of subnetworks in the HPFP

Supporting information How to concatenate the local attractors of subnetworks in the HPFP n Effcen lgorh for Idenfyng Prry Phenoype rcors of Lrge-Scle Boolen Newor Sng-Mo Choo nd Kwng-Hyun Cho Depren of Mhecs Unversy of Ulsn Ulsn 446 Republc of Kore Depren of Bo nd Brn Engneerng Kore dvnced

More information

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l

More information

Different kind of oscillation

Different kind of oscillation PhO 98 Theorecal Qeson.Elecrcy Problem (8 pons) Deren knd o oscllaon e s consder he elecrc crc n he gre, or whch mh, mh, nf, nf and kω. The swch K beng closed he crc s copled wh a sorce o alernang crren.

More information

ALLOWABLE STRESS DESIGN FLOWCHART FOR AISC MANUAL OF STEEL CONSTRUCTION, NINTH EDITION APPENDIX B BEARING STIFFENERS AND TRANSVERSE STIFFENERS DESIGN

ALLOWABLE STRESS DESIGN FLOWCHART FOR AISC MANUAL OF STEEL CONSTRUCTION, NINTH EDITION APPENDIX B BEARING STIFFENERS AND TRANSVERSE STIFFENERS DESIGN ALLOWABLE TRE DEIGN LOWCHART OR AIC MANUAL O TEEL CONTRUCTION, NINTH EDITION APPENDIX B BEARING TIENER AND TRANVERE TIENER DEIGN HEN-YEH CHEN, PH.D. Aug, 1995 All Righs Reserve. No pr o his ook my e reprouce

More information

f t f a f x dx By Lin McMullin f x dx= f b f a. 2

f t f a f x dx By Lin McMullin f x dx= f b f a. 2 Accumulion: Thoughs On () By Lin McMullin f f f d = + The gols of he AP* Clculus progrm include he semen, Sudens should undersnd he definie inegrl s he ne ccumulion of chnge. 1 The Topicl Ouline includes

More information

Displacement, Velocity, and Acceleration. (WHERE and WHEN?)

Displacement, Velocity, and Acceleration. (WHERE and WHEN?) Dsplacemen, Velocy, and Acceleraon (WHERE and WHEN?) Mah resources Append A n your book! Symbols and meanng Algebra Geomery (olumes, ec.) Trgonomery Append A Logarhms Remnder You wll do well n hs class

More information

Integral Equations and their Relationship to Differential Equations with Initial Conditions

Integral Equations and their Relationship to Differential Equations with Initial Conditions Scece Refleco SR Vol 6 wwwscecereflecocom Geerl Leers Mhemcs GLM 6 3-3 Geerl Leers Mhemcs GLM Wese: hp://wwwscecereflecocom/geerl-leers--mhemcs/ Geerl Leers Mhemcs Scece Refleco Iegrl Equos d her Reloshp

More information

First-order piecewise-linear dynamic circuits

First-order piecewise-linear dynamic circuits Frs-order pecewse-lnear dynamc crcus. Fndng he soluon We wll sudy rs-order dynamc crcus composed o a nonlnear resse one-por, ermnaed eher by a lnear capacor or a lnear nducor (see Fg.. Nonlnear resse one-por

More information