Infinite Horizon MPC applied to batch processes. Part II
|
|
- Kory Moore
- 5 years ago
- Views:
Transcription
1 Innte Hozon MPC appled to batch pocesses Pat II Aleando H González Edado J Adam Dac Odloa 2 and Jacnto L Machett Insttte o echnologcal Development o the Chemcal Indsty (INEC) CONICE - Unvesdad Naconal del Ltoal Santa Fe Agentna (alegoneadamlmach)@santae-concetgova 2 Depatment o Chemcal Engneeng Polytechnc School Unvesty o São Palo São Palo SP Bazl (e-mal: odloa@spb) Abstact: In the second stage o ths wo (pat II) a new nnte hozon model pedctve contolle (IHMPC) wth leanng popetes appled to batch pocesses s pesented When a batch pocess s attempted to be contolled two convegence analyses ae necessay: the convegence nto a gven teaton o batch n (nta-n stablty) and the convegence om n to n (nte-n stablty consdeng an nnte nmbe o batch ns) As was shown n González et al 2009 to accont o the st one the poposed stategy ses a vtal hozon that matches the tadtonal dea o nnte ecedng hozon o MPC wth the nte daton o the n batch o accont o the second convegence analyss a leanng scheme based on the closed-loop paadgm o the IHMPC s developed o evalate the poposed contolle a nmecal example coespondng to batch eacto s shown whee the leanng popetes o the algothm can be clealy seen INRODUCION A batch pocess s one that contnosly epeats a ntedaton pocede (n) along the tme hs nd o systems can be ond n seveal ndstal elds (Lee and Lee 2000; Bonvn 2006; Cel and Bodons 2008) Becase o ts chaactestc these epettve pocesses have two conte ndexes (some athos call them two tme scales): one o nte length beng the tme wthn a n o tal and the othe o nnte length dentyng the nmbe o ns As a conseqence o ths two deent tme scales handlng epettve systems eqes a contol stategy that acconts o two deent obectves: the st one s an on-lne o wthnbatch contol whch eects dstbances occng dng a gven n and no necessaly eman nmoded o the next n he othe s the n to n contol whch eect dstbances that eman almost constant om one n to the next and so the contolle can se nomaton om pevos opeatons In ths last case a contol scheme wth leanng popetes s desed As t was sad n the st stage (González et al 2009) the IHMPC poposed n ths wo s omlated nde a closedloop paadgm (Rosste 2003) he basc dea o a closedloop paadgm s to choose a stablzng contol law and assme that ths law (ndelyng npt seqence) s pesent thoghot the pedctons he dea hee s to consde an ndelyng contol seqence as a manplated npt canddate (npt eeence) o the peect tacng contol and to assocate ths npt eeence wth the leanng vecto (e the vecto that s pdated om one batch to the next to mpove the peomance) I thee s no addtonal nomaton (st teaton) the npt eeence cold be a constant vale hen by means o a leanng pocede (based on the tme convegence o each batch) t s ensed that t conveges teatvely to the peect tacng contol (n to n convegence) hs s the way the poposed contolle acconts o the typcal chaactestcs o batch pocesses e nte tme daton and events epetton he pape s oganzed as ollows In secton 2 the basc denton and notaton ae pesented hen n secton 3 t s ntodced the poposed MPC omlaton and some elated popetes he epettve leanng scheme (man eslt) s pesented n secton 4 Fnally a sccnct llstatve example and the conclson ae pesented n sectons 5 and 6 espectvely 2 PRELIMINARIES We assme hee the same pelmnaes denton consdeed n the pat I o the pape except o the batch ndex whch wll explctly appea n the omlaton n ode to denty each batch n So the qanttes y and d wll be eplaced by y and d he otpt dstbance d s assmed to be nown (t s assmed to eman constant o seveal batch ns) Hee the nomnal model s the same as the one pesented n the pat I o ths wo (González et al 2009) 2 Indexes o clay the notaton we dene the ollowng ndexes: s the teaton o n ndex whee =0 s the st batch n when any leanng pocede s appled s the tme nto a gven batch n Fo a gven teaton t goes om 0 to - (that s tme nstants) s the tme o the MPC pedctons Fo a gven batch n and a gven tme nstant nto the batch n t goes om 0 to - 22 Convegence analyss 477
2 In the next sectons we wll consde two convegence analyses: Inta-n convegence: concens the deceasng o a Lyapnov ncton (assocated to the otpt eo) along the n tme that s Vy yvy y o n one specc batch I the contol algothm execton goes beyond wth and the otpt eeence emans constant at the nal eeence vale ( y y o ) then the nta-n convegence concens the convegence o the otpt to the nal vale o the otpt eeence taectoy ( y y as ) hs convegence was poved n González et al (2009) Inte-n convegence: concens the convegence o the otpt taectoy to the complete eeence taectoy om one batch to the next one that s consdeng the otpt o a gven n as a vecto o components (y y as ) 3 BASIC FORMULAION Fo the st poposed MPC omlaton we wll assme that an appopate npt eeence s avalable and the dstbance seqence d s nown he MPC mzaton poblem assocated to batch n s as ollows: Poblem P) 0 mn V e F x sbect to: e Cx d y 0 () x Ax B 0 (2) U 0 N (3) 0 (4) 0 N (5) whee y d 2 2 y y 2 he mpotance o the n the MPC algothm s descbed n González et al (2009) n the ema 0 Rema : hs poblem s the one pesented by González et al (2009) n the secton 3 (Poblem P) except that now t s assocated to a patcla batch n As a eslt all the popetes ae the same o both omlatons and they ae omtted hee o bevty Patclaly the convegence o the MPC cost (vtal hozon convegence) can be expessed as: V V e 0 4 IHMPC WIH LEARNING PROPERIES In the last secton we stded the wthn-n contol poblem We assmed that an npt eeence s avalable and the otpt dstbance s nown One way s by assocatng the (6) cent npt eeence and dstbance to the last batch ones (e the mplemented npt and the estmated dstbance dng the last n begnnng wth a constant seqence and a zeo vale espectvely) In ths way a dal MPC wth leanng popetes accontng o the n-to-n contol s obtaned Next we wll ty to elcdate ths pont Consde the poblem P (González et al 2009) o a gven batch n wth the ollowng vaaton: 0 d d G y d 2 d d 2 whee the dstbance as well as the states o pedcton ae obseve-based estmates he dea hee s to assocate the npt eeence and the dstbance coespondng to n wth the actal npt and dstbance mplemented at the n - (See Fge ) hat s and d d o =2 and 0 G y G y d 0 : 0 0 In addton t s possble to dene a vecto o deences between two consectve mplemented npt seqences as : - and t s nteestng to notce that ths vecto s gven by hs means that ths deence vecto s made o the st element o the solton o each mzaton poblem o =0 - sed n a ecedng hozon manne 4 New nte-n convegence constants o batch pocess Now n ode to acheve a n-to-n convegence we eplace the ognal constant (5) o poblem P by the ollowng one: 0 N s N s (8) whee N s = mn (HN) (9) In ths way a new shnng contol hozon N s s dened e o the last N tme steps (= -N -) o each n the contol hozon s edced as the tme steps nceases As wll be shown late ths modcaton allows the sccessve n costs to be matched Rema 2: he new shnng contol hozon allows the cost to be expessed by means o H H 0 (0) V e F x egadless o the vale o he next popety shows to be sel o the convegence poo: Popety : Assmng that a shnng contol hozon s sed then Eq (6) holds te o the last N MPC costs o a gven n Fthemoe the last cost o a gven n ae gven by: V e F x (7) 478
3 and snce cent and one steps pedcton ae concdent wth the actal vales (Rema 4) t ollows that: V e F x () Poo Smla to the poo o theoem n the st stage o the wo (González et al 2009) t s possble to dene a easble solton to the mzaton poblem at tme based on the solton at tme - hen showng that the cost coespondng to these soltons s not geate than the mal cost at tme - neqalty (6) holds 42 Popetes o the poposed algothm One nteestng pont hee s to answe what happens the MPC contolle eceves as npt eeence taectoy a contol seqence that t s nected to the system podces a nll otpt eo Snce the MPC contolle does not add the npt eeence to the compted npt (as typcal coecton) bt to pedcted npts some cae mst be taen Popety 2 above asses that o ths npt eeence the MPC cost s nll Wthot lose o genealty we wll consde the nomnal case (no deence between plant and model) o smplcty n what ollows Denton : Let s consde the ollowng peect contol npt taectoy pe pe pe 0 whch epesents the contol seqence that s nected nto the system podces a nll otpt eo taectoy e e e 0 0 It s assmed at ths pont that the otpt eeence s desgned n sch a way (smooth shape) and the dstbances ae sch that the peect contol s possble Notce that the peect contol wold be physcally possble an nnte nmbe o teatons ae peomed Popety 2: I the MPC cost penalzaton matces Q and R ae dente postve (Q>0 and R>0) and peect contol npt pe taectoy s a easble taectoy then V 0 o =0 -; whee H V e F x H 0 Poo ) Let s assme that V 0 o =0 - hen the mal pedcted otpt eo and npt wll be gven by e 0 o =0 and 0 o =0 - espectvely I pe e 0 and 0 smltaneosly t ollows that o =0 - snce t s the only npt seqence that podces nll pedcted otpt eo (othewse the mzaton wll necessaly nd an eqlbm sch that e 0 and 0 povded that Q>0 and R>0 by hypothess) Conseqently pe ) Let s assme that pe Becase o the denton o the peect contol npt the mzaton poblem wthot any npt coecton wll podce a seqence o nll otpt eo pedctons gven by e 0 pe e Cx y 0 CAx B y e Cx y pe pe C A x AB B y 0 Conseqently the mal seqence o decson vaables (pedcted npts) wll be 0 o =0 - and =0 - snce no coecton s needed to acheve nll pedcted otpt eo hs means that V 0 o =0-43 Inte-n convegence Let s consde the ollowng mzaton poblem: Poblem P2) mn V sbect to: ()-(4) (7)-(9) When we say that the algothm conveges om n to n t means that both the otpt eo taectoy e and the npt deence between two consectve mplemented npts = - - conveges to zeo as Followng an Iteatve Leanng Contol nomenclate ths means that the mplemented npt conveges to the peect contol npt pe o a scently lage nmbe o teatons o show ths convegence we wll dene a cost assocated to each n whch penalzes the otpt eo As t was sad MPC mzaton poblems ae solved at each n that s om =0 to = - So a canddate to descbe the n cost s as ollows: J : V (2) whee 0 V epesents the mal cost o the on-lne MPC mzaton poblem at tme coespondng to the n Notce that ths MPC cost once the mzaton poblem P2 s solved and an mal npt seqence s obtaned s a ncton o only e y y e heeoe t maes sense sng (2) to dene a batch cost snce t epesents a (nte) sm o postve penalzatons o the cent otpt eo that s to say a postve ncton o e Howeve snce the new batch ndex s made o otpts pedctons athe than o actal eos some caes mst be taen nto consdeaton Fstly as occs wth sal ndexes we shold demonstate that nll otpt eo vectos podce nll costs (whch s not tval becase o pedctons) Secondly we shold demonstate that the peect contol npt coesponds to a nll cost Popety 3: I the MPC cost penalzaton matces Q and R ae dente postve (Q>0 and R>0) and peect contol npt 479
4 taectoy s a easble taectoy cost (2) whch s an mplct ncton o e s sch that e 0 0 Poo ) Let s assme that e =0 hs means that e 0 o =0 Now assme that the npt eeence vecto s pe deent om the peect contol npt and consde the otpt eo pedctons necessay to compte the MPC cost : V 0 e e Cx y C Ax B B y Snce s not an element o the peect contol npt then CAx B y 0 Conseqently (assmng that * CB s nvetble) the npt necessay to mae e 0 wll be gven by: * CB y C Ax B whch s a non nll vale Howeve the mzaton wll necessay nd an eqlbm solton sch that e 0 * and snce Q>0 and R>0 by hypothess hs mples that e e 0 contadctng the ntal assmpton o nll otpt eo Fom ths easonng o sbseqent otpt eos t ollows that the only possble npt eeence to acheve e =0 wll be the peect contol npt ( = pe ) I ths s the case t ollows that V 0 o =0 (Popety 2) and so J =0 ) let s assme that J =0 hen V 0 whch mples that e 0 o =0 and o =0 Patclaly e 0 o =0 whch mples e =0 Coollay I the MPC cost penalzaton matces Q and R ae dente postve then pe J 0 Othewse pe J 0 Poo It ollows om Popety 2 and Popety 3 Now we establsh the n to n convegence wth the ollowng theoem heoem Fo the system (5)-(7) o González et al 2009 by sng the contol law deved om the on-lne execton o poblem P2 n a ecedng hozon manne togethe wth the leanng pdatng (7) and assmng that a easble peect contol npt taectoy thee exsts the otpt eo taectoy e conveges to zeo as In addton conveges to zeo e Note that o the nomnal case s e J as whch means that the eeence taectoy conveges to pe Poo See Appendx A Rema 3: In most eal systems a peect contol npt taectoy s not possble to each (whch epesents a system lmtaton athe than a contolle lmtaton) In ths case the costs V wll convege to a non-nll nte vale as and then snce the opeaton cost J s deceasng (see Appendx A) t wll convege to the smallest possble vale Rema 4: In the same way that the nta-n convegence can be extended to detemne a vaablty ndex n ode to establsh a qanttatve concept o stablty ( -stablty) o nte-n systems (Rema 9 o González et al 2009); the nte-n convegence can be extended to establsh stablty condtons smla to the ones pesented n Snvasan and Bonvn 2007 N y s H Pedcton Hozon s y y Vtal Hozon 0 +N + 2 Fg MPC dagam coespondng to each batch 5 ILUSRAIVE EXAMPLE In ode to evalate the poposed contolle peomance we assme a te and nomnal pocess gven by (Lee and Lee ) G(s)=/5s 2 +8s+ and G(s)=08/2s 2 +7s+ espectvely he samplng tme aded to develop the dscete state space model s = and the nal batch tme s gven by =90 he poposed stategy acheves a good contol peomance n the st two o thee teatons wth a athe edced contol hozon he contolle paametes ae as ollows: Q=500 R=005 N=5 Fg 2 shows the otpt esponse togethe wth the otpt eeence and the npts and o the st and thd teaton At the st teaton snce the npt eeence s a constant vale ( 0 ) and ae the same and the otpt peomance s qte poo (manly becase o the model msmatch) At the thd teaton howeve gven that a dstbance state s estmated om the pevos n the otpt esponse and the otpt eeence ae ndstngshable As expected the batch eo s edced dastcally om n to n 3 whle the MPC cost s deceasng (as was establshed n heoem ) o each n (Fg 3) Notce that the MPC cost s nomalzed tang 480
5 nto accont the maxmal vale ( V / Vmax ) whee V 6 max 0 and V max 2865 hs shows that the MPC cost J decease om one n to the next as was stated n heoem 2 Fnally Fg 4 shows the nomalzed nom o the eo coespondng to each n Fg 2 Otpt and npt esponses Fg 3 Eo and MPC cost Fg 4 Nom o the teaton eo 6 CONCLUSIONS In ths pape a deent omlaton o a stable IHMPC wth leanng popetes appled to batch pocesses s pesented Fo the case n whch the pocess paametes eman nmoded o seveal batch ns the omlaton allows a epettve leanng algothm whch pdates the contol vaable seqence to acheve nomnal peect contol peomance wo extenson o the pesent wo can be consdeed he ease one s the extenson to lnea-tmevaant (LV) models whch wold allow epesentng the non-lnea behavo o the batch pocesses bette A second extenson s to consde the obst case (eg by ncopoatng mlt model ncetanty nto the MPC omlaton) hese two sses wll be stded n te wos APPENDIX A Poo o heoem he dea hee s to show that V V o =0 - and so J J - Fst let s consde the case n whch the seqence o mzaton poblems P2 do nothng at a gven n hat s we wll consde the case n whch 0 0 o a gven n So o the nomnal case the total actal npt wll be gven by and the n cost coespondng to ths (cttos) npt seqence wll be gven by J : V whee 0 Ns H V e e 0 F x 0 Ns H e 0 Fx H (A) 0 HH Snce the npt eeence poblems s gven by = eo wll be gven by e that ses each mzaton then the esltng otpt o =0 H In othe e wods the open loop otpt eo pedctons made by the MPC mzaton at each tme o a gven n wll be the actal (mplemented) otpt eo o the past n - Hee t mst be notced that e ees to the actal eo o the system that s the eo podced by the mplemented npt Moeove becase o the poposed nte n convegence constant the mplemented npt wll be o H Let now consde the mal MPC costs coespondng to =0 - o a gven n - Fom the ecsve se o (6) we have 48
6 0 0 0 V e V V e V hen addng the second tem o the let hand sde o each neqalty to both sdes o the next one and eaangng the tems we can wte V e e V Fom () the cost V n - wll be gven by V e F x (A2) whch s the cost at the end o the (A3) heeoe by sbstttng (A3) n (A2) we have F x e e e V (A4) Now the psedo cost (A) at tme =0 V can be wtten as 0 0 e Fx V e F x 0 (A5) and om the compason o the let hand sde o neqalty (A4) wth (A5) t ollows that V V Repeatng now ths easonng o = - we conclde that 0 V V heeoe om the denton o the n cost J we have 2 0 J J (A6) he MPC costs V s sch that V V snce the solton 0 o =0 H s a easble solton o poblem P2 at each tme hs mples that J J (A7) Fom (A6) and (A7) we have 0 J J J (A8) whch means that the n costs ae stctly deceasng at least one o the mzaton poblems coespondng to the n - nd a solton 0 As a eslt two ons ase: pe I) Let s assme that hen by Coollay J0 and ollowng the easonng sed n the poo o Popety 3 0 o some hen accodng to (A8) wth 0 0 J J J - he seqence J wll stop deceasng only addton 0 o some 0 0 In 0 then pe whch mples that J =0 heeoe: lm J 0 whch by Popety 3 mples that lm e 0 Notce that the last lmt mples that lm 0 and pe conseqently lm II) Let s assme that and accodng to (A8) by Popety 3 e =0 REFERENCES pe hen by Coollay J=0 J J J 0 Conseqently Cel J R and C Bodons (2008) Iteatve nonlnea model pedctve contol Stablty obstness and applcatons Contol Engneeng Pactce González A H D Odloa and O A Sotomayo (2008) Stable IHMPC o nstable systems IFAC 2008 González A H E J Adam D O Odloa and J L Machett Innte hozon MPC appled to batch pocesses Pat I Renón de Pocesamento de la Inomacón y Contol (RPIC XIII) Rosao Santa Fe Agentna (2009) Lee K S and J H Lee (997) Model pedctve contol o nonlnea batch pocesses wth asymptotcally peect tacng Compte chemcal Engng Lee J H K S Lee and W C Km (2000)Model-based teatve leanng contol wth a qadatc cteon o tme-vayng lnea systems Atomatca Rosste JA (2003) Model-Based Pedctve Contol CRC Pess Snvasan B and D Bonvn (2007) Contollablty and stablty o epettve batch pocesses Jonal o Pocess Contol Notce that the n mplements the manplated vaable =0 - and 0 o some ; then accodng to (A6) J J Unnatally to have ond a non nll mal solton n the n - s scent to have a stctly smalle cost o the n 482
Infinite horizon MPC applied to batch processes. Part I
Innte hozon MC appled to batch pocesses at I Aleo H González Edado J Adam Dac Odloa Jacnto L Machett Insttte o echnologcal Development o the Chemcal Indsty (INEC) CONICE - Unvesdad Naconal del Ltoal Santa
More information3. A Review of Some Existing AW (BT, CT) Algorithms
3. A Revew of Some Exstng AW (BT, CT) Algothms In ths secton, some typcal ant-wndp algothms wll be descbed. As the soltons fo bmpless and condtoned tansfe ae smla to those fo ant-wndp, the pesented algothms
More informationUnit_III Complex Numbers: Some Basic Results: 1. If z = x +iy is a complex number, then the complex number z = x iy is
Unt_III Comple Nmbes: In the sstem o eal nmbes R we can sole all qadatc eqatons o the om a b c, a, and the dscmnant b 4ac. When the dscmnant b 4ac
More information8 Baire Category Theorem and Uniform Boundedness
8 Bae Categoy Theoem and Unfom Boundedness Pncple 8.1 Bae s Categoy Theoem Valdty of many esults n analyss depends on the completeness popety. Ths popety addesses the nadequacy of the system of atonal
More informationPhysics 2A Chapter 11 - Universal Gravitation Fall 2017
Physcs A Chapte - Unvesal Gavtaton Fall 07 hese notes ae ve pages. A quck summay: he text boxes n the notes contan the esults that wll compse the toolbox o Chapte. hee ae thee sectons: the law o gavtaton,
More information( ) α is determined to be a solution of the one-dimensional minimization problem: = 2. min = 2
Homewo (Patal Solton) Posted on Mach, 999 MEAM 5 Deental Eqaton Methods n Mechancs. Sole the ollowng mat eqaton A b by () Steepest Descent Method and/o Pecondtoned SD Method Snce the coecent mat A s symmetc,
More informationUsing DP for hierarchical discretization of continuous attributes. Amit Goyal (31 st March 2008)
Usng DP fo heachcal dscetzaton of contnos attbtes Amt Goyal 31 st Mach 2008 Refeence Chng-Cheng Shen and Yen-Lang Chen. A dynamc-pogammng algothm fo heachcal dscetzaton of contnos attbtes. In Eopean Jonal
More informationA New Fuzzy Control Model for Kidney Patients
Appled Mathematcs, 0, 3, 097-0 http://dx.do.og/0.436/am.0.396 Pblshed Onlne Septembe 0 (http://www.scrp.og/onal/am) A ew Fzzy Contol Model fo Kdney Patents Mna Lagzan, Mohammad Shazan, Al Vahdan Kamyad,
More informationSet of square-integrable function 2 L : function space F
Set of squae-ntegable functon L : functon space F Motvaton: In ou pevous dscussons we have seen that fo fee patcles wave equatons (Helmholt o Schödnge) can be expessed n tems of egenvalue equatons. H E,
More informationGenerating Functions, Weighted and Non-Weighted Sums for Powers of Second-Order Recurrence Sequences
Geneatng Functons, Weghted and Non-Weghted Sums fo Powes of Second-Ode Recuence Sequences Pantelmon Stăncă Aubun Unvesty Montgomey, Depatment of Mathematcs Montgomey, AL 3614-403, USA e-mal: stanca@studel.aum.edu
More informationEnergy in Closed Systems
Enegy n Closed Systems Anamta Palt palt.anamta@gmal.com Abstact The wtng ndcates a beakdown of the classcal laws. We consde consevaton of enegy wth a many body system n elaton to the nvese squae law and
More informationP 365. r r r )...(1 365
SCIENCE WORLD JOURNAL VOL (NO4) 008 www.scecncewoldounal.og ISSN 597-64 SHORT COMMUNICATION ANALYSING THE APPROXIMATION MODEL TO BIRTHDAY PROBLEM *CHOJI, D.N. & DEME, A.C. Depatment of Mathematcs Unvesty
More informationMultistage Median Ranked Set Sampling for Estimating the Population Median
Jounal of Mathematcs and Statstcs 3 (: 58-64 007 ISSN 549-3644 007 Scence Publcatons Multstage Medan Ranked Set Samplng fo Estmatng the Populaton Medan Abdul Azz Jeman Ame Al-Oma and Kamaulzaman Ibahm
More informationUNIT10 PLANE OF REGRESSION
UIT0 PLAE OF REGRESSIO Plane of Regesson Stuctue 0. Intoducton Ojectves 0. Yule s otaton 0. Plane of Regesson fo thee Vaales 0.4 Popetes of Resduals 0.5 Vaance of the Resduals 0.6 Summay 0.7 Solutons /
More information4. Linear systems of equations. In matrix form: Given: matrix A and vector b Solve: Ax = b. Sup = least upper bound
4. Lnea systes of eqatons a a a a 3 3 a a a a 3 3 a a a a 3 3 In at fo: a a a3 a a a a3 a a a a3 a Defnton ( vecto no): On a vecto space V, a vecto no s a fncton fo V to e set of non-negatve eal nes at
More informationINTRODUCTION. consider the statements : I there exists x X. f x, such that. II there exists y Y. such that g y
INRODUCION hs dssetaton s the eadng of efeences [1], [] and [3]. Faas lemma s one of the theoems of the altenatve. hese theoems chaacteze the optmalt condtons of seveal mnmzaton poblems. It s nown that
More informationCHAPTER 4 EVALUATION OF FORCE-CONSTANT MATRIX
CHAPTER 4 EVALUATION OF FORCE-CONSTANT MATRIX 4.- AIM OF THE WORK As antcpated n the ntodcton the am of the pesent ok s to obtan the nmecal vale of the foce-constant matx fo tantalm. In a fst step expesson
More information4 SingularValue Decomposition (SVD)
/6/00 Z:\ jeh\self\boo Kannan\Jan-5-00\4 SVD 4 SngulaValue Decomposton (SVD) Chapte 4 Pat SVD he sngula value decomposton of a matx s the factozaton of nto the poduct of thee matces = UDV whee the columns
More informationThe Greatest Deviation Correlation Coefficient and its Geometrical Interpretation
By Rudy A. Gdeon The Unvesty of Montana The Geatest Devaton Coelaton Coeffcent and ts Geometcal Intepetaton The Geatest Devaton Coelaton Coeffcent (GDCC) was ntoduced by Gdeon and Hollste (987). The GDCC
More informationScalars and Vectors Scalar
Scalas and ectos Scala A phscal quantt that s completel chaacteed b a eal numbe (o b ts numecal value) s called a scala. In othe wods a scala possesses onl a magntude. Mass denst volume tempeatue tme eneg
More informationHybridization Based Reachability of Uncertain Planar Affine Systems
Hybdzaton Based Reachablty of Uncetan Plana Affne Systems Othmane NASR Mae-Anne LEFEBVRE Heé GUEGUEN Spélec- ER BP 87 Cesson-Ségné Ced Fance nothmane@ennesspelecf mae-annelefebe@spelecf heegegen@spelecf
More informationLecture Note #7 (Chap.11)
Sstem Modelng and Identfcaton Lecte ote #7 (Chap. CBE 7 Koea nvest of. Dae Roo Yang Recsve estmaton of a constant Consde the followng nos obsevaton of a constant paamete φθ + v, Ev { }, Evv { j} σδj (
More informationRemember: When an object falls due to gravity its potential energy decreases.
Chapte 5: lectc Potental As mentoned seveal tmes dung the uate Newton s law o gavty and Coulomb s law ae dentcal n the mathematcal om. So, most thngs that ae tue o gavty ae also tue o electostatcs! Hee
More informationIf there are k binding constraints at x then re-label these constraints so that they are the first k constraints.
Mathematcal Foundatons -1- Constaned Optmzaton Constaned Optmzaton Ma{ f ( ) X} whee X {, h ( ), 1,, m} Necessay condtons fo to be a soluton to ths mamzaton poblem Mathematcally, f ag Ma{ f ( ) X}, then
More informationOptimization Methods: Linear Programming- Revised Simplex Method. Module 3 Lecture Notes 5. Revised Simplex Method, Duality and Sensitivity analysis
Optmzaton Meods: Lnea Pogammng- Revsed Smple Meod Module Lectue Notes Revsed Smple Meod, Dualty and Senstvty analyss Intoducton In e pevous class, e smple meod was dscussed whee e smple tableau at each
More informationA Brief Guide to Recognizing and Coping With Failures of the Classical Regression Assumptions
A Bef Gude to Recognzng and Copng Wth Falues of the Classcal Regesson Assumptons Model: Y 1 k X 1 X fxed n epeated samples IID 0, I. Specfcaton Poblems A. Unnecessay explanatoy vaables 1. OLS s no longe
More informationRigid Bodies: Equivalent Systems of Forces
Engneeng Statcs, ENGR 2301 Chapte 3 Rgd Bodes: Equvalent Sstems of oces Intoducton Teatment of a bod as a sngle patcle s not alwas possble. In geneal, the se of the bod and the specfc ponts of applcaton
More informationObserver Design for Takagi-Sugeno Descriptor System with Lipschitz Constraints
Intenatonal Jounal of Instumentaton and Contol Systems (IJICS) Vol., No., Apl Obseve Desgn fo akag-sugeno Descpto System wth Lpschtz Constants Klan Ilhem,Jab Dalel, Bel Hadj Al Saloua and Abdelkm Mohamed
More informationOn Maneuvering Target Tracking with Online Observed Colored Glint Noise Parameter Estimation
Wold Academy of Scence, Engneeng and Technology 6 7 On Maneuveng Taget Tacng wth Onlne Obseved Coloed Glnt Nose Paamete Estmaton M. A. Masnad-Sha, and S. A. Banan Abstact In ths pape a compehensve algothm
More informationAPPLICATIONS OF SEMIGENERALIZED -CLOSED SETS
Intenatonal Jounal of Mathematcal Engneeng Scence ISSN : 22776982 Volume Issue 4 (Apl 202) http://www.mes.com/ https://stes.google.com/ste/mesounal/ APPLICATIONS OF SEMIGENERALIZED CLOSED SETS G.SHANMUGAM,
More informationInstantaneous velocity field of a round jet
Fee shea flows Instantaneos velocty feld of a ond et 3 Aveage velocty feld of a ond et 4 Vtal ogn nozzle coe Developng egon elf smla egon 5 elf smlaty caled vaables: ~ Q ξ ( ξ, ) y δ ( ) Q Q (, y) ( )
More informationKhintchine-Type Inequalities and Their Applications in Optimization
Khntchne-Type Inequaltes and The Applcatons n Optmzaton Anthony Man-Cho So Depatment of Systems Engneeng & Engneeng Management The Chnese Unvesty of Hong Kong ISDS-Kolloquum Unvestaet Wen 29 June 2009
More informationAE/ME 339. K. M. Isaac. 8/31/2004 topic4: Implicit method, Stability, ADI method. Computational Fluid Dynamics (AE/ME 339) MAEEM Dept.
AE/ME 339 Comptatonal Fld Dynamcs (CFD) Comptatonal Fld Dynamcs (AE/ME 339) Implct form of dfference eqaton In the prevos explct method, the solton at tme level n,,n, depended only on the known vales of,
More information2 dependence in the electrostatic force means that it is also
lectc Potental negy an lectc Potental A scala el, nvolvng magntues only, s oten ease to wo wth when compae to a vecto el. Fo electc els not havng to begn wth vecto ssues woul be nce. To aange ths a scala
More informationLinks in edge-colored graphs
Lnks n edge-coloed gaphs J.M. Becu, M. Dah, Y. Manoussaks, G. Mendy LRI, Bât. 490, Unvesté Pas-Sud 11, 91405 Osay Cedex, Fance Astact A gaph s k-lnked (k-edge-lnked), k 1, f fo each k pas of vetces x 1,
More informationON THE FRESNEL SINE INTEGRAL AND THE CONVOLUTION
IJMMS 3:37, 37 333 PII. S16117131151 http://jmms.hndaw.com Hndaw Publshng Cop. ON THE FRESNEL SINE INTEGRAL AND THE CONVOLUTION ADEM KILIÇMAN Receved 19 Novembe and n evsed fom 7 Mach 3 The Fesnel sne
More informationDistinct 8-QAM+ Perfect Arrays Fanxin Zeng 1, a, Zhenyu Zhang 2,1, b, Linjie Qian 1, c
nd Intenatonal Confeence on Electcal Compute Engneeng and Electoncs (ICECEE 15) Dstnct 8-QAM+ Pefect Aays Fanxn Zeng 1 a Zhenyu Zhang 1 b Lnje Qan 1 c 1 Chongqng Key Laboatoy of Emegency Communcaton Chongqng
More informationAn Approach to Inverse Fuzzy Arithmetic
An Appoach to Invese Fuzzy Athmetc Mchael Hanss Insttute A of Mechancs, Unvesty of Stuttgat Stuttgat, Gemany mhanss@mechaun-stuttgatde Abstact A novel appoach of nvese fuzzy athmetc s ntoduced to successfully
More informationIntegral Vector Operations and Related Theorems Applications in Mechanics and E&M
Dola Bagayoko (0) Integal Vecto Opeatons and elated Theoems Applcatons n Mechancs and E&M Ι Basc Defnton Please efe to you calculus evewed below. Ι, ΙΙ, andιιι notes and textbooks fo detals on the concepts
More informationA Simple Approach to Robust Optimal Pole Assignment of Decentralized Stochastic Singularly-Perturbed Computer Controlled Systems
A Sple Appoach to Robst Optal Pole Assgnent of Decentaled Stochastc Snglaly-Petbed Copte Contolled Systes Ka-chao Yao Depatent of Indstal Edcaton and echnology Natonal Chang-ha Unvesty of Edcaton No. Sh-Da
More informationCSJM University Class: B.Sc.-II Sub:Physics Paper-II Title: Electromagnetics Unit-1: Electrostatics Lecture: 1 to 4
CSJM Unvesty Class: B.Sc.-II Sub:Physcs Pape-II Ttle: Electomagnetcs Unt-: Electostatcs Lectue: to 4 Electostatcs: It deals the study of behavo of statc o statonay Chages. Electc Chage: It s popety by
More informationSTATE OBSERVATION FOR NONLINEAR SWITCHED SYSTEMS USING NONHOMOGENEOUS HIGH-ORDER SLIDING MODE OBSERVERS
Asan Jounal of Contol Vol. 5 No. pp. 3 Januay 203 Publshed onlne n Wley Onlne Lbay (wleyonlnelbay.com) DOI: 0.002/asc.56 STATE OBSERVATION FOR NONLINEAR SWITCHED SYSTEMS USING NONHOMOGENEOUS HIGH-ORDER
More informationThermodynamics of solids 4. Statistical thermodynamics and the 3 rd law. Kwangheon Park Kyung Hee University Department of Nuclear Engineering
Themodynamcs of solds 4. Statstcal themodynamcs and the 3 d law Kwangheon Pak Kyung Hee Unvesty Depatment of Nuclea Engneeng 4.1. Intoducton to statstcal themodynamcs Classcal themodynamcs Statstcal themodynamcs
More information4 Recursive Linear Predictor
4 Recusve Lnea Pedcto The man objectve of ths chapte s to desgn a lnea pedcto wthout havng a po knowledge about the coelaton popetes of the nput sgnal. In the conventonal lnea pedcto the known coelaton
More informationStable Model Predictive Control Based on TS Fuzzy Model with Application to Boiler-turbine Coordinated System
5th IEEE Confeence on Decson and Contol and Euopean Contol Confeence (CDC-ECC) Olando, FL, USA, Decembe -5, Stable Model Pedctve Contol Based on S Fuy Model wth Applcaton to Bole-tubne Coodnated System
More informationGroupoid and Topological Quotient Group
lobal Jounal of Pue and Appled Mathematcs SSN 0973-768 Volume 3 Numbe 7 07 pp 373-39 Reseach nda Publcatons http://wwwpublcatoncom oupod and Topolocal Quotent oup Mohammad Qasm Manna Depatment of Mathematcs
More informationVISUALIZATION OF THE ABSTRACT THEORIES IN DSP COURSE BASED ON CDIO CONCEPT
VISUALIZATION OF THE ABSTRACT THEORIES IN DSP COURSE BASED ON CDIO CONCEPT Wang L-uan, L Jan, Zhen Xao-qong Chengdu Unvesty of Infomaton Technology ABSTRACT The pape analyzes the chaactestcs of many fomulas
More informationTian Zheng Department of Statistics Columbia University
Haplotype Tansmsson Assocaton (HTA) An "Impotance" Measue fo Selectng Genetc Makes Tan Zheng Depatment of Statstcs Columba Unvesty Ths s a jont wok wth Pofesso Shaw-Hwa Lo n the Depatment of Statstcs at
More informationAdvanced Robust PDC Fuzzy Control of Nonlinear Systems
Advanced obust PDC Fuzzy Contol of Nonlnea Systems M Polanský Abstact hs pape ntoduces a new method called APDC (Advanced obust Paallel Dstbuted Compensaton) fo automatc contol of nonlnea systems hs method
More informationq-bernstein polynomials and Bézier curves
Jounal of Computatonal and Appled Mathematcs 151 (2003) 1-12 q-bensten polynomals and Béze cuves Hall Ouç a, and Geoge M. Phllps b a Depatment of Mathematcs, Dokuz Eylül Unvesty Fen Edebyat Fakültes, Tınaztepe
More informationAmplifier Constant Gain and Noise
Amplfe Constant Gan and ose by Manfed Thumm and Wene Wesbeck Foschungszentum Kalsuhe n de Helmholtz - Gemenschaft Unvestät Kalsuhe (TH) Reseach Unvesty founded 85 Ccles of Constant Gan (I) If s taken to
More information6. Introduction to Transistor Amplifiers: Concepts and Small-Signal Model
6. ntoucton to anssto mples: oncepts an Small-Sgnal Moel Lectue notes: Sec. 5 Sea & Smth 6 th E: Sec. 5.4, 5.6 & 6.3-6.4 Sea & Smth 5 th E: Sec. 4.4, 4.6 & 5.3-5.4 EE 65, Wnte203, F. Najmaba Founaton o
More information(8) Gain Stage and Simple Output Stage
EEEB23 Electoncs Analyss & Desgn (8) Gan Stage and Smple Output Stage Leanng Outcome Able to: Analyze an example of a gan stage and output stage of a multstage amplfe. efeence: Neamen, Chapte 11 8.0) ntoducton
More informationExact Simplification of Support Vector Solutions
Jounal of Machne Leanng Reseach 2 (200) 293-297 Submtted 3/0; Publshed 2/0 Exact Smplfcaton of Suppot Vecto Solutons Tom Downs TD@ITEE.UQ.EDU.AU School of Infomaton Technology and Electcal Engneeng Unvesty
More informationSTATE OBSERVATION FOR NONLINEAR SWITCHED SYSTEMS USING NONHOMOGENEOUS HIGH-ORDER SLIDING MODE OBSERVERS
JOBNAME: No Job Name PAGE: SESS: 0 OUTPUT: Tue Feb 0:0: 0 Toppan Best-set Pemeda Lmted Jounal Code: ASJC Poofeade: Mony Atcle No: ASJC Delvey date: Febuay 0 Page Etent: Asan Jounal of Contol Vol. No. pp.
More information9/12/2013. Microelectronics Circuit Analysis and Design. Modes of Operation. Cross Section of Integrated Circuit npn Transistor
Mcoelectoncs Ccut Analyss and Desgn Donald A. Neamen Chapte 5 The pola Juncton Tanssto In ths chapte, we wll: Dscuss the physcal stuctue and opeaton of the bpola juncton tanssto. Undestand the dc analyss
More informationAnalysis of Truss Structures with Uncertainties: From Experimental Data to Analytical Responses
179 Analyss of ss Stctes wth Uncetantes: Fom Expemental Data to Analytcal Responses P. Longo 1), N. Mage 1), G. Mscolno ) and G. Rccad ) 1) Depatment of Engneeng, Unvesty of Messna, Vllaggo S. Agata, 98166
More informationEngineering Mechanics. Force resultants, Torques, Scalar Products, Equivalent Force systems
Engneeng echancs oce esultants, Toques, Scala oducts, Equvalent oce sstems Tata cgaw-hll Companes, 008 Resultant of Two oces foce: acton of one bod on anothe; chaacteed b ts pont of applcaton, magntude,
More informationChapter I Matrices, Vectors, & Vector Calculus 1-1, 1-9, 1-10, 1-11, 1-17, 1-18, 1-25, 1-27, 1-36, 1-37, 1-41.
Chapte I Matces, Vectos, & Vecto Calculus -, -9, -0, -, -7, -8, -5, -7, -36, -37, -4. . Concept of a Scala Consde the aa of patcles shown n the fgue. he mass of the patcle at (,) can be epessed as. M (,
More informationA. Thicknesses and Densities
10 Lab0 The Eath s Shells A. Thcknesses and Denstes Any theoy of the nteo of the Eath must be consstent wth the fact that ts aggegate densty s 5.5 g/cm (ecall we calculated ths densty last tme). In othe
More informationCOMPLEMENTARY ENERGY METHOD FOR CURVED COMPOSITE BEAMS
ultscence - XXX. mcocd Intenatonal ultdscplnay Scentfc Confeence Unvesty of skolc Hungay - pl 06 ISBN 978-963-358-3- COPLEENTRY ENERGY ETHOD FOR CURVED COPOSITE BES Ákos József Lengyel István Ecsed ssstant
More informationPattern Analyses (EOF Analysis) Introduction Definition of EOFs Estimation of EOFs Inference Rotated EOFs
Patten Analyses (EOF Analyss) Intoducton Defnton of EOFs Estmaton of EOFs Infeence Rotated EOFs . Patten Analyses Intoducton: What s t about? Patten analyses ae technques used to dentfy pattens of the
More informationOnline Appendix to Position Auctions with Budget-Constraints: Implications for Advertisers and Publishers
Onlne Appendx to Poston Auctons wth Budget-Constants: Implcatons fo Advetses and Publshes Lst of Contents A. Poofs of Lemmas and Popostons B. Suppotng Poofs n the Equlbum Devaton B.1. Equlbum wth Low Resevaton
More informationN = N t ; t 0. N is the number of claims paid by the
Iulan MICEA, Ph Mhaela COVIG, Ph Canddate epatment of Mathematcs The Buchaest Academy of Economc Studes an CECHIN-CISTA Uncedt Tac Bank, Lugoj SOME APPOXIMATIONS USE IN THE ISK POCESS OF INSUANCE COMPANY
More informationEfficiency of the principal component Liu-type estimator in logistic
Effcency of the pncpal component Lu-type estmato n logstc egesson model Jbo Wu and Yasn Asa 2 School of Mathematcs and Fnance, Chongqng Unvesty of Ats and Scences, Chongqng, Chna 2 Depatment of Mathematcs-Compute
More informationNew Condition of Stabilization of Uncertain Continuous Takagi-Sugeno Fuzzy System based on Fuzzy Lyapunov Function
I.J. Intellgent Systems and Applcatons 4 9-5 Publshed Onlne Apl n MCS (http://www.mecs-pess.og/) DOI:.585/sa..4. New Condton of Stablzaton of Uncetan Contnuous aag-sugeno Fuzzy System based on Fuzzy Lyapunov
More informationPHYS 705: Classical Mechanics. Derivation of Lagrange Equations from D Alembert s Principle
1 PHYS 705: Classcal Mechancs Devaton of Lagange Equatons fom D Alembet s Pncple 2 D Alembet s Pncple Followng a smla agument fo the vtual dsplacement to be consstent wth constants,.e, (no vtual wok fo
More informationPart V: Velocity and Acceleration Analysis of Mechanisms
Pat V: Velocty an Acceleaton Analyss of Mechansms Ths secton wll evew the most common an cuently pactce methos fo completng the knematcs analyss of mechansms; escbng moton though velocty an acceleaton.
More informationCorrespondence Analysis & Related Methods
Coespondence Analyss & Related Methods Ineta contbutons n weghted PCA PCA s a method of data vsualzaton whch epesents the tue postons of ponts n a map whch comes closest to all the ponts, closest n sense
More informationWashout Enabled RED. This paper is organized as follows. In Section II we recall
1 Washot Enabled RED Pya Ranjan, Rchad J. La, and Eyad H. Abed Depatment of Electcal and Compte Engneeng Unvesty of Mayland, College Pak pya, hyongla, abed @eng.md.ed Abstact Recently, the athos pesented
More informationRanks of quotients, remainders and p-adic digits of matrices
axv:1401.6667v2 [math.nt] 31 Jan 2014 Ranks of quotents, emandes and p-adc dgts of matces Mustafa Elshekh Andy Novocn Mak Gesbecht Abstact Fo a pme p and a matx A Z n n, wte A as A = p(a quo p)+ (A em
More informationGENERALIZATION OF AN IDENTITY INVOLVING THE GENERALIZED FIBONACCI NUMBERS AND ITS APPLICATIONS
#A39 INTEGERS 9 (009), 497-513 GENERALIZATION OF AN IDENTITY INVOLVING THE GENERALIZED FIBONACCI NUMBERS AND ITS APPLICATIONS Mohaad Faokh D. G. Depatent of Matheatcs, Fedows Unvesty of Mashhad, Mashhad,
More informationHow to Obtain Desirable Transfer Functions in MIMO Systems Under Internal Stability Using Open and Closed Loop Control
How to Obtain Desiable ansfe Functions in MIMO Sstems Unde Intenal Stabilit Using Open and losed Loop ontol echnical Repot of the ISIS Goup at the Univesit of Note Dame ISIS-03-006 June, 03 Panos J. Antsaklis
More informationTest 1 phy What mass of a material with density ρ is required to make a hollow spherical shell having inner radius r i and outer radius r o?
Test 1 phy 0 1. a) What s the pupose of measuement? b) Wte all fou condtons, whch must be satsfed by a scala poduct. (Use dffeent symbols to dstngush opeatons on ectos fom opeatons on numbes.) c) What
More informationChapter Finite Difference Method for Ordinary Differential Equations
Chape 8.7 Fne Dffeence Mehod fo Odnay Dffeenal Eqaons Afe eadng hs chape, yo shold be able o. Undesand wha he fne dffeence mehod s and how o se o solve poblems. Wha s he fne dffeence mehod? The fne dffeence
More informationA NOTE ON ELASTICITY ESTIMATION OF CENSORED DEMAND
Octobe 003 B 003-09 A NOT ON ASTICITY STIATION OF CNSOD DAND Dansheng Dong an Hay. Kase Conell nvesty Depatment of Apple conomcs an anagement College of Agcultue an fe Scences Conell nvesty Ithaca New
More informationIntegral Control via Bias Estimation
1 Integal Contol via Bias stimation Consie the sstem ẋ = A + B +, R n, R p, R m = C +, R q whee is an nknown constant vecto. It is possible to view as a step istbance: (t) = 0 1(t). (If in fact (t) vaies
More informationCovariance Bounds Analysis during Intermittent Measurement for EKF-based SLAM
Intenatonal ounal o Integated Engneeng, Vol. 4 No. 3 () p. 9-5 Covaance Bounds Analyss dung Intemttent Measuement o EKF-based SLAM amzah Ahmad,*, ou Nameawa Faculty o Electcal & Electoncs, Unvesty Malaysa
More informationVEKTORANALYS FLUX INTEGRAL LINE INTEGRAL. and. Kursvecka 2. Kapitel 4 5. Sidor 29 50
VEKTORANAYS Ksecka INE INTEGRA and UX INTEGRA Kaptel 4 5 Sdo 9 5 A wnd TARGET PROBEM We want to psh a mne cat along a path fom A to B. Bt the wnd s blowng. How mch enegy s needed? (.e. how mch s the wok?
More informationMachine Learning 4771
Machne Leanng 4771 Instucto: Tony Jebaa Topc 6 Revew: Suppot Vecto Machnes Pmal & Dual Soluton Non-sepaable SVMs Kenels SVM Demo Revew: SVM Suppot vecto machnes ae (n the smplest case) lnea classfes that
More informationFUZZY CONTROL VIA IMPERFECT PREMISE MATCHING APPROACH FOR DISCRETE TAKAGI-SUGENO FUZZY SYSTEMS WITH MULTIPLICATIVE NOISES
Jounal of Mane Scence echnology Vol. 4 No.5 pp. 949-957 (6) 949 DOI:.69/JMS-6-54- FUZZY CONROL VIA IMPERFEC PREMISE MACHING APPROACH FOR DISCREE AKAGI-SUGENO FUZZY SYSEMS WIH MULIPLICAIVE NOISES Wen-Je
More informationDensity Functional Theory I
Densty Functonal Theoy I cholas M. Hason Depatment of Chemsty Impeal College Lonon & Computatonal Mateals Scence Daesbuy Laboatoy ncholas.hason@c.ac.uk Densty Functonal Theoy I The Many Electon Schönge
More informationf(y) signal norms system gain bounded input bounded output (BIBO) stability For what G(s) and f( ) is the closed-loop system stable?
Lecte 5 Inpt otpt stabilit Cose Otline o How to make a cicle ot of the point + i, and diffeent was to sta awa fom it... Lecte -3 Lecte 4-6 Modelling and basic phenomena (lineaization, phase plane, limit
More informationAsymptotic Waves for a Non Linear System
Int Jounal of Math Analyss, Vol 3, 9, no 8, 359-367 Asymptotc Waves fo a Non Lnea System Hamlaou Abdelhamd Dépatement de Mathématques, Faculté des Scences Unvesté Bad Mokhta BP,Annaba, Algea hamdhamlaou@yahoof
More informationBayesian Assessment of Availabilities and Unavailabilities of Multistate Monotone Systems
Dept. of Math. Unvesty of Oslo Statstcal Reseach Repot No 3 ISSN 0806 3842 June 2010 Bayesan Assessment of Avalabltes and Unavalabltes of Multstate Monotone Systems Bent Natvg Jøund Gåsemy Tond Retan June
More informationState Estimation. Ali Abur Northeastern University, USA. Nov. 01, 2017 Fall 2017 CURENT Course Lecture Notes
State Estmaton Al Abu Notheasten Unvesty, USA Nov. 0, 07 Fall 07 CURENT Couse Lectue Notes Opeatng States of a Powe System Al Abu NORMAL STATE SECURE o INSECURE RESTORATIVE STATE EMERGENCY STATE PARTIAL
More informationProfessor Wei Zhu. 1. Sampling from the Normal Population
AMS570 Pofesso We Zhu. Samplg fom the Nomal Populato *Example: We wsh to estmate the dstbuto of heghts of adult US male. It s beleved that the heght of adult US male follows a omal dstbuto N(, ) Def. Smple
More informationˆ x ESTIMATOR. state vector estimate
hapte 9 ontolle Degn wo Independent Step: Feedback Degn ontol Law =- ame all tate ae acceble a lot of eno ae necea Degn of Etmato alo called an Obeve whch etmate the ente tate vecto gven the otpt and npt
More informationAPPENDIX A Some Linear Algebra
APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,
More informationPhysics 201 Lecture 4
Phscs 1 Lectue 4 ltoda: hapte 3 Lectue 4 v Intoduce scalas and vectos v Peom basc vecto aleba (addton and subtacton) v Inteconvet between atesan & Pola coodnates Stat n nteestn 1D moton poblem: ace 9.8
More informationTraceability and uncertainty for phase measurements
Traceablty and ncertanty for phase measrements Karel Dražl Czech Metrology Insttte Abstract In recent tme the problems connected wth evalatng and expressng ncertanty n complex S-parameter measrements have
More informationChapter Fifiteen. Surfaces Revisited
Chapte Ffteen ufaces Revsted 15.1 Vecto Descpton of ufaces We look now at the vey specal case of functons : D R 3, whee D R s a nce subset of the plane. We suppose s a nce functon. As the pont ( s, t)
More information19 The Born-Oppenheimer Approximation
9 The Bon-Oppenheme Appoxmaton The full nonelatvstc Hamltonan fo a molecule s gven by (n a.u.) Ĥ = A M A A A, Z A + A + >j j (883) Lets ewte the Hamltonan to emphasze the goal as Ĥ = + A A A, >j j M A
More informationI-POLYA PROCESS AND APPLICATIONS Leda D. Minkova
The XIII Inenaonal Confeence Appled Sochasc Models and Daa Analyss (ASMDA-009) Jne 30-Jly 3, 009, Vlns, LITHUANIA ISBN 978-9955-8-463-5 L Sakalaskas, C Skadas and E K Zavadskas (Eds): ASMDA-009 Seleced
More informationChapter IV Vector and Tensor Analysis IV.2 Vector and Tensor Analysis September 29,
hapte I ecto and Tenso Analyss I. ecto and Tenso Analyss eptembe 9, 08 47 hapte I ecto and Tenso Analyss I. ecto and Tenso Analyss eptembe 9, 08 48 I. ETOR AND TENOR ANALYI I... Tenso functon th Let A
More information( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi
Assgmet /MATH 47/Wte Due: Thusday Jauay The poblems to solve ae umbeed [] to [] below Fst some explaatoy otes Fdg a bass of the colum-space of a max ad povg that the colum ak (dmeso of the colum space)
More informationChapter 8. Linear Momentum, Impulse, and Collisions
Chapte 8 Lnea oentu, Ipulse, and Collsons 8. Lnea oentu and Ipulse The lnea oentu p of a patcle of ass ovng wth velocty v s defned as: p " v ote that p s a vecto that ponts n the sae decton as the velocty
More informationV. Principles of Irreversible Thermodynamics. s = S - S 0 (7.3) s = = - g i, k. "Flux": = da i. "Force": = -Â g a ik k = X i. Â J i X i (7.
Themodynamcs and Knetcs of Solds 71 V. Pncples of Ievesble Themodynamcs 5. Onsage s Teatment s = S - S 0 = s( a 1, a 2,...) a n = A g - A n (7.6) Equlbum themodynamcs detemnes the paametes of an equlbum
More informationPhysica A 392 (2013) Contents lists available at SciVerse ScienceDirect. Physica A. journal homepage:
Physca A 392 (2013) 1318 1335 Contents lsts avalable at ScVese ScenceDect Physca A jounal homepage: www.elseve.com/locate/physa Themodynamcs n the lmt of evesble eactons A.N. Goban a,, E.M. Mkes b, G.S.
More informationTheo K. Dijkstra. Faculty of Economics and Business, University of Groningen, Nettelbosje 2, 9747 AE Groningen THE NETHERLANDS
RESEARCH ESSAY COSISE PARIAL LEAS SQUARES PAH MODELIG heo K. Djksta Faculty of Economcs and Busness, Unvesty of Gonngen, ettelbosje, 9747 AE Gonngen HE EHERLADS {t.k.djksta@ug.nl} Jög Hensele Faculty of
More information