Modeling and Adaptive Control of a Coordinate Measuring Machine
|
|
- Brandon Webb
- 5 years ago
- Views:
Transcription
1 Modelng and Adaptve Contol of a Coodnate Measung Machne Â. Yudun Obak, Membe, IEEE Abstact Although tadtonal measung nstuments can povde excellent solutons fo the measuement of length, heght, nsde and outsde dametes, etc., a coodnate measuement machne (CMM), at least n pncple, can combne all these equements n a sngle vesatle nstument. As they can also be fully automated, lnked to a CAD system and/o bult nto the flexble manufactung cell, CMMs ae wdely used n today s ndusty. he am of ths pape s to desgn a stable contolle fo a 3D coodnate measung machne n the pesence of uncetantes and unknown dstubances. o acheve ths task, fst a smplfed model of the CMM wll be obtaned. Afte ths modelng step, dffeent types of adaptve contol technques ae appled to get a sutable and effcent contol system. he esults ae dscussed n detal n ode to gve nsght to some common poblems n contollng CMMs. I. INRODUCION HE man goal of ths pape s to desgn a stable contolle fo a 3D coodnate measung machne (CMM) n the pesence of uncetantes and unknown dstubances [9,, 3]. he desgn of the CMM s smla to some of the machne tools lke CNC s wth the dffeence beng the pesence of exta contol nputs [,, 3]. he pesence of these exta contols smplfes the poblem and we could fomulate t nto a mult-nput obotc contol poblem as dscussed n [4]. he contolle used s an adaptve one wth the nonlneates and the dstubances beng lumped nto just a sngle bounded tem. In [4], poblems of these types have been consdeed n a systematc way qute extensvely when all the states ae avalable fo feedback. he stuctue of ths contolle has the advantage that, apat fom gvng good pefomance n tackng n spte of the pesence of unknown dstubances and uncetantes, t also gves a obustly stable algothm. As opposed to the CNC machnes, the CMM poblem s dffeent n the sense that thee ae lesse numbe of contol nputs. hus, a full-state feedback adaptve contolle s used to a lneazed model of the CMM. If all the states ae not avalable fo feedback, then n geneal t s qute complcated to buld an obseve fo a nonlnea system. Howeve, n ou case the system equatons ae lneazed (except fo the dstubance tem) and we can theefoe have an adaptve obseve to estmate the unknown states (usng an MRAC fomulaton). Usng these estmates, one can then use essentally a smla contolle stuctue as done when all the states ae avalable fo feedback. hs consttutes some of the futue wok that needs to be accomplshed. In the followng sectons, fst the modelng of a CMM s pefomed. hen the contol methodologes dscussed above wll be llustated. he smulaton esults ndcate that the contolles pefom vey well. II. MODELING OF HE COORDINAE MEASURING MACHINE he schematc dagam of the coodnate measung machne s shown n Fgue. Wtng the mathematcal model of the 3D model shown wll be too cumbesome wth vey lttle beneft, f only we could get a smple model that descbes the essental featues faly accuately [, 4, 8]. Snce the ams of the CMM ae suppoted on a beangs, the dampng s educed consdeably. Fom the dagam and fom the actual machne one obseves that the dynamcs n the y and z dectons ae neglgble compaed to that of x decton at least as a easonable fst appoxmaton (ths can be vefed by gettng the bode magntude plot fom the nput of the moto on the y-axs to the measuement on the lnea encode on the x-axs whch would be much below the 0 db lne). D. Â. Yudun Obak s cuently wth the Industal Engneeng Depatment, Uludag Unvesty, Busa, 609, ukey (e-mal: obak@uludag.edu.t, obak@alum.mt.edu). Fg.. Schematc dagam of CMM.
2 he tansmsson of the toque fom the moto to the machne s though a belt dve, whch can be appoxmated as a spng wth a dampe. hs s a good appoxmaton at low fequences whle at hgh fequences the aboveappoxmated stffness of the belt n the longtudnal decton s less compaed to the one that s pependcula to ths decton. hs stffness n the pependcula decton s nonlnea and s not easy to model. On the othe hand, the bandwdth of the machne s easonably small ( Hz) that ths unmodeled nonlnea stffness can be appoxmated as a bounded dstubance. Notce futhe that because of the lage gea educton, the nonlneates and othe unmodeled effects ae lagely dmnshed on the moto sde. Wth all the above-mentoned ealstc assumptons the coodnate measung machne can be modeled as a twodmensonal model. Fo ths system, the man objectve s to desgn a stable contol algothm to contol the poston of the tp of the coodnate measung machne (CMM) and to tack a specfed tajectoy despte the pesence of unknown but bounded dstubances and paamete uncetantes. he appoach taken fo the soluton of ths poblem s that of a obust adaptve sldng contol technque [4]. III. DESCRIPION OF HE MODEL As mentoned n the pevous secton, the coodnate measung machne s modeled as a smplfed twodmensonal model as shown n the Fgue. In ths model the z-axs s completely elmnated and t s epesented on the x-y plane as masses M and m. he dstance l a of the mass m s a paamete of the poblem and thee s no dynamcs nvolved along the y decton due to ths mass m. Howeve, note that both the neta and the locaton of the cente of mass of the combned system (ncludng M and m) changes f l a s changed. heefoe, t s concluded that l a has sgnfcant effect on the dynamcs of the system. he spngs k and k epesent the belts of the CMM. he mass m s attached to the gd body M that s fee to tanslate and otate about ts cente of mass. he foce F at Q as shown n the fgue epesents the actuato. he lnea encodes ae pesent at A and at B. hee s also a otay encode on the moto, whch when tanslated nto ths model s epesentaton gves the measuement x 3. hs encode s a collocated senso whle the lnea encode at ethe A o B s a noncollocated senso. In fomulatng the equatons of the model, the followng assumptons ae made: he angle of otaton θ of the mass about the cente of mass s small so that sn θ θ and cosθ. he actuato moves hozontally and does not otate. he nput to the system s the foce F appled on the actuato. Fg.. wo-dmensonal model of a CMM wth the foce F actng at Q. he case n whch the spng constants k and k ae not necessaly equal s consdeed. he numbe of degees of feedom fo ths system s thee and the genealzed coodnates can be taken as x, θ and x 3 (o equvalently x, x and x 3 ). he equatons of moton fo the system shown n Fgue can be wtten fom the Lagangan (o fom Newton s laws) as ( M + m) x + ( c + c ) x + ( k + k ) x + ( c l c l ) θ + + ( kl k θ + ( c I CM + ( k l l l ) θ = ( c + c + c θ + l ) m a x 3 3 M + m) ) x 3 ( kl + ( k + k + k l ) x 3 + τ ) θ + ( c l c l ) x + k l ) x = ( c l cl ) x 3 + ( kl k l ) x3 + τ = τ ( x cx () 3 he unknown paametes fo ths system ae the coeffcents of the states and the devatves. he followng ae the paametes defned n the pesent stuaton: a = I CM a 6 = k + k a c + a = k l k a = c 7 l 3 = cl cl a 8 = kl + kl 4 = cl cl a = M + m 9 = c + c c a 0 = ma a + a + One can also epesent () n the standad fom as H + C + Kq = τ (3) whee H = dag( [ M + m I CM m a ]) c + c cl cl c c C = cl cl cl + cl cl + cl (4) c c c l + c l c + c + c ()
3 and k + k kl kl k k τ K = kl kl kl + kl kl + kl, τ = τ () k k kl + kl k + k τ 3 [ ] Hee the poston vecto q s defned as q = x θ x3. he nonlnea stffness and the dstubances ae lumped nto a sngle tem and ae epesented as a bounded functon d( q,, t) and the coespondng equaton of moton s modfed as H + C + Kq = τ + d( q,, t) (6) whee d ( q,, t) D. In ths pape, the goal, as mentoned eale, s to desgn a stable contolle that tacks a desed tajectoy q d fo the system epesented by (3) and (6) fo both the mult-nput and sngle-nput cases. hese ssues ae dscussed n the followng sectons n detal. IV. CONROL PROBLEM Fst a stable adaptve contolle (see [4] fo example) that does pefect tackng fo the system gven by (3) when all the thee contol nputs ae pesent and thee s no dstubance wll be desgned. hen, the adaptve law wll be modfed to contol the system gven by (6), whch wll nclude dstubance tems. Howeve, n ths case t wll be seen that pefect tackng s not acheved and thee wll be a dead zone due to the bounded dstubance. he above two methods ae also useful n the case of CNC machnes whee thee ae typcally many nputs. On the othe hand, fo the coodnate measung machne thee s only one nput at x 3 as shown n Fgue. Fo these types of systems a sldng adaptve contol technque s geneally used. In the followng subsectons each of these appoaches wll be dscussed n geate detal. A. Full State Feedback Mult-Input Contol n the Absence of Dstubances Let q d be the desed tajectoy that we wsh to tack and q be the efeence sgnal vecto. hen the eo s gven by q = q qd. By lettng λ as an postve constant, a suface s=s(t) can be defned as s = q + λ q =. Hee = q d λq s taken. hen s =. Now, let s choose a Lyapunov functon canddate V as V s s a = H + Γ a (7) whee a = aˆ a s the paamete eo, â s the estmate of the tue paamete a, and Γ s a postve defnte matx. hen V = s Hs + aˆ Γ a = s ( H H ) + a ˆ Γ a (8) = s ( τ H C Kq) + a ˆ Γ a Now let s choose the contol law as τ = Hˆ + Cˆ + Kˆ q K s whee Ĥ, Ĉ, and Kˆ d coespond to the estmates of the tue values of H, C and K espectvely, whch consttute the paametes of ou system, and K d s a postve defnte matx. In addton to the contol law f one defnes a Y accodng to H + C + Kq = Ya (9) one then obtans H ˆ + Cˆ + Kˆ q = Yaˆ (0) As a esult, V s a = ( Y K d s) + aˆ Γ a () If the adaptaton law s chosen as a ˆ = ΓY s, ths mples that V = s K d s 0 () Now V = s K d s (3) s bounded because s and ã ae bounded. Note that s = H ( Ya K d s) (compae (8) and ()) s also bounded. heefoe, V 0, V 0 and V s bounded mples that V 0 as t fom Babalat s lemma. heefoe s 0 snce Kd s postve defnte, whch mples that x 0 as t,.e., pefect tackng s acheved. In othe wods, n the absence of any dstubances, pefect tackng s acheved wth the above choce of contol and adaptve laws. he smulaton esults that llustate the above theoetcal esults ae descbed next. he values of the vaous paametes of the model ae tabulated n able. ABLE I PARAMEER VALUES FOR SIMULAION l a 0.4 m c 0 N s/m L. m c 0 N s/m M 00 kg c 4 N s/m m 00 kg k 000 N/m m a 0 kg k 00 N/m he contolle s wthout the bounded dstubance. heefoe, the contol and the adaptve laws mentoned eale ae used n the smulatons. he esults ae shown n Fgues 3 though. he desed tajectoy chosen was d ( sn 4t 0 sn t) q = 3, and the othe paametes used n the smulatons wee Γ = dag 0,,4,,,,9,7,0,, λ = 0, and K d = dag ([ ]) ([ 0,0,0] ). Notce that thee s vey good tackng by the above choce of contol and adaptve laws n all states. And the contol nput equed to acheve good tackng s qute hgh. he paametes do not convege to the tue values as expected because the nput s not suffcently ch o pesstently exctng.
4 Fg. 3. Compason of states (no dstubance). V = s s a a H + ˆ Γ = s ( q q ) aˆ a H H + Γ (6) = s ( q q q) aˆ a τ + d H C K + Γ he contol and the adaptaton laws ae chosen as τ = Yaˆ K d s and a ˆ = ΓY s, espectvely whee Y s defned as befoe n (9). hen, s V = s K d s + s d K dφ sat φ (7) If one chooses K d = kd I and defne sgn(s) as a vecto of the sgns of the ndvdual components, he/she obtans, V s kd s 0 (8) Hee the followng ae used: () the -nom of a vecto s the sum of the absolute values of ts components, and () the -nom s the standad Eucldean nom. As n the pevous secton, one can obseve that V s k s (9) s s bounded snce and ã ae bounded. Note that s = H ( Ya K d s + d) s also bounded. heefoe, V 0, V 0 and V s bounded mples that V 0 as t fom Babalat s lemma. d Fg. 4. Eo n tackng (no dstubance). In the followng subsecton, a stable contolle s desgned fo the case wth bounded dstubances. B. Full State Feedback Mult-Input Contol n the Pesence of Dstubance he appoach taken s smla to the pevous case except that the Lyapunov functon canddate s chosen as V s s a = a H + Γ (4) whee s s = s φ sat () φ wth satuaton functon sat( ) defned component wse. Hee φ s a postve scala. hen Fg.. Contol nputs (no dstubance). Snce K d s postve defnte, one sees that fom s, s φ. hs mples that n x φ λ as t,.e., a dead zone n adaptaton and hence n tackng s pesent. he smulaton esults wth bounded dstubance ae as shown n Fgues 6 though 8. he paametes used n these smulatons ae the same as befoe except that the bound on the dstubance s chosen as D = 0. Futhemoe, φ s chosen such that k d φ = D. Notce the ncease n eos compaed to the case wth no dstubance.
5 Fg. 6. Compason of states (wth dstubance). C. Full State Feedback Sngle-Input Adaptve Contol Now let s tun to the queston of contollng the CMM when thee s only one nput F as shown n Fgue. he equatons of moton ae essentally the same as () except that τ and τ ae zeo and τ 3 =F. As befoe, t s assumed that full state s avalable fo feedback. he output of nteest s x n ths case. he addtonal assumpton that smplfes the contol stuctue desgn s when the tansfe functon fom the nput F to the output x s mnmum phase. It s obseved that wth the nomnal values chosen as gven n able, ths mnmum phase assumpton s satsfed. he elatve ode of the tansfe functon fom F to x s thee (sx poles and thee zeos). hus an appoach smla to nput-output feedback lneazaton can be used to expess the states as the output and ts devatves. Snce the elatve ode s thee, t s seen that the output x needs to be dffeentated thee tmes to see the contol nput n the state equaton. he task then s to desgn a stable adaptve contolle fo ths thd ode system wth the states x, x and x and the mnmum phaseness wll guaantee global asymptotc stablty of the ntenal dynamcs whch conssts of the othe thee states. he appoach taken s agan the one descbed n [4]. he state equatons ae gven n the companon fom as hx + a f = u (0) = Dffeentatng the fst equaton (havng x ) n () and substtutng fo θ and x 3 fom the emanng two equatons, one obseves that the contol nput appeas n ths equaton and can theefoe be expessed n the fom gven n (0) fo sutable values of h, a s and f. Hee, u = F, s the contol nput. Fg. 7. Eo n tackng (wth dstubance). Defne e = x x d and s = e + λ e + λ e = x () whee x = x λe λ e. Now, d hs = hx hx = u = x a f h x Fg. 8. Contol nputs (wth dstubance). () If all the paametes ae known, then one can choose a contol law that gves a guaanteed convegence of s by defnng u as u = a f + hx ks (3) = hs choce of contol leads to the tackng eo dynamcs to h s + ks = 0. Fo the adaptve contol, the contol law s chosen as u = aˆ = f + hx ˆ ks whee â and ĥ ae the
6 estmates of the tue paametes. he tackng eo then becomes hs + ks = a f = + h x (4) h s = + + a f h x () p k h = Now by usng Lemma 8. of [4], the adaptaton law s: hˆ = γ sgn( h) sx (6) a ˆ = γ sgn( h) sf hs s obtaned by takng the Lyapunov functon canddate as V = h s + γ h + a (7) = hs then gves V = k s. hs choce of contol and adaptve laws gve global tackng convegence. he smulaton esults ae shown n Fgues 9 and 0. he gans fo vey good tackng ae vey hgh compaed to the mult-nput case and theefoe the contol nputs ae also hgh. he desed tajectoy chosen s x d = sn (t). Fg. 9. States and the eos. Fg. 0. Contol nputs. V. CONCLUSIONS In ths pape, fst the modelng of a coodnate measung machne s consdeed and t s assumed that all the states ae avalable fo feedback. Wth ths assumpton an adaptve contolle based on sldng contol achtectue s desgned fo the mult-nput case as descbed n [4]. Afte ths step, a obust contolle n the pesence of dstubances s desgned. It s obseved that the pefomance slghtly dmnshes n the second case. Howeve, the contolle assues obust stablty. he smulatons also ndcate that when thee s only one sngle nput n the contol stuctue, the pefomance s good only at the expense of vey lage contol nput sgnals. REFERENCES [] Y. Shen and X. Zhang, Modelng of Petavel fo ouch gge Pobes on Indexable Pobe Heads on Coodnate Measung Machnes, Intenatonal Jounal of Advanced Manufactung echnology, Vol. 3/4, pp. 06-3, Apl 997. [] G. Lee, J. Mou, and Y. Shen, Samplng Stategy Desgn fo Dmensonal Measuement of Geometc Featues usng Coodnate Measung Machnes, Intenatonal Jounal of Machne ools and Manufactue, Vol. 37, No. 3, pp , 997. [3] Y. Shen, Automated Dmensonal Inspecton Usng Coodnate Measung Machnes, Poceedngs of the 993 US/awan Jont Automaton and Poductvty Wokshop, pp , ape, awan, July 993. [4] Y. Shen, Compute-Integated Dmensonal Inspecton Usng Coodnate Measung Machnes, Poceedngs of Intenatonal Confeence on echnology ansfe and Compaatve Management, pp , Los Angeles, CA., August 993. [] Y. Shen and X. Zhang, Uncetanty Assessment n Measuement Results Usng Coodnate Measuement Systems, Poceedngs of 99 Intenatonal Mechancal Engneeng Congess and Exposton, San Fancsco, CA, Novembe 99. [6].-Z. Shen and C.-H. Menq, Automatc camea calbaton fo a multple-senso ntegated coodnate measuement system, IEEE ansactons on Robotcs and Automaton, Vol. 7, No. 4, pp. 0-07, August 00. [7] F. Peto,. Redace, P. Boulange, and R. Lepage, oleance contol wth hgh esoluton 3D measuements, Poceedngs of hd Intenatonal Confeence on 3-D Dgtal Imagng and Modelng, pp , 00. [8] L. Dejun, C. Rensheng, L. Zfang, and L. Xaochuan, Reseach on the theoy and the vtual pototype of 3-DOF paallel-lnk coodnate-measung machne, Poceedngs of the 8th IEEE Instumentaton and Measuement echnology Confeence, IMC 00, Vol., pp , 00. [9] S. N. Sptz and A. A. G. Requcha, Multple-goals path plannng fo coodnate measung machnes, Poceedngs of IEEE Intenatonal Confeence on Robotcs and Automaton, ICRA '00, Vol. 3, pp. 3-37, 000. [0] S. N. Sptz, A. J. Spyd, and A. A. G. Requcha, Accessblty analyss fo plannng of dmensonal nspecton wth coodnate measung machnes, IEEE ansactons on Robotcs and Automaton, Vol., No. 4, pp , August 999. [] A. Lmaem and H. A. Elmaaghy, Automatc path plannng fo coodnate measung machnes, Poceedngs of IEEE Intenatonal Confeence on Robotcs and Automaton, Vol., pp , 998. [] H. Zhuang and Y. Wang, A coodnate measung machne wth paallel mechansms, Poceedngs of IEEE Intenatonal Confeence on Robotcs and Automaton, Vol. 4, pp , 997. [3] M. R. Kateb,. Lee, and M. J. Gmble, otal contol of fast coodnate measung machnes, IEE Poceedngs on Contol heoy and Applcatons, Vol. 4, No. 6, pp , Novembe 994. [4] J-J. Slotne and W. L, Appled Nonlnea Contol, Pentce Hall, Inc. Englewood Clffs, New Jesey 0763, 99.
PHYS 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 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 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 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 information1. A body will remain in a state of rest, or of uniform motion in a straight line unless it
Pncples of Dnamcs: Newton's Laws of moton. : Foce Analss 1. A bod wll eman n a state of est, o of unfom moton n a staght lne unless t s acted b etenal foces to change ts state.. The ate of change of momentum
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 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 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 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 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 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 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 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 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 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 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 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 informationPhysics 11b Lecture #2. Electric Field Electric Flux Gauss s Law
Physcs 11b Lectue # Electc Feld Electc Flux Gauss s Law What We Dd Last Tme Electc chage = How object esponds to electc foce Comes n postve and negatve flavos Conseved Electc foce Coulomb s Law F Same
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 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 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 informationCS649 Sensor Networks IP Track Lecture 3: Target/Source Localization in Sensor Networks
C649 enso etwoks IP Tack Lectue 3: Taget/ouce Localaton n enso etwoks I-Jeng Wang http://hng.cs.jhu.edu/wsn06/ png 006 C 649 Taget/ouce Localaton n Weless enso etwoks Basc Poblem tatement: Collaboatve
More informationCapítulo. Three Dimensions
Capítulo Knematcs of Rgd Bodes n Thee Dmensons Mecánca Contents ntoducton Rgd Bod Angula Momentum n Thee Dmensons Pncple of mpulse and Momentum Knetc Eneg Sample Poblem 8. Sample Poblem 8. Moton of a Rgd
More informationDYNAMICS VECTOR MECHANICS FOR ENGINEERS: Kinematics of Rigid Bodies in Three Dimensions. Seventh Edition CHAPTER
Edton CAPTER 8 VECTOR MECANCS FOR ENGNEERS: DYNAMCS Fednand P. Bee E. Russell Johnston, J. Lectue Notes: J. Walt Ole Teas Tech Unvest Knematcs of Rgd Bodes n Thee Dmensons 003 The McGaw-ll Companes, nc.
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 informationLASER ABLATION ICP-MS: DATA REDUCTION
Lee, C-T A Lase Ablaton Data educton 2006 LASE ABLATON CP-MS: DATA EDUCTON Cn-Ty A. Lee 24 Septembe 2006 Analyss and calculaton of concentatons Lase ablaton analyses ae done n tme-esolved mode. A ~30 s
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 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 information24-2: Electric Potential Energy. 24-1: What is physics
D. Iyad SAADEDDIN Chapte 4: Electc Potental Electc potental Enegy and Electc potental Calculatng the E-potental fom E-feld fo dffeent chage dstbutons Calculatng the E-feld fom E-potental Potental of a
More informationDynamics of Rigid Bodies
Dynamcs of Rgd Bodes A gd body s one n whch the dstances between consttuent patcles s constant thoughout the moton of the body,.e. t keeps ts shape. Thee ae two knds of gd body moton: 1. Tanslatonal Rectlnea
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 informationThe Forming Theory and the NC Machining for The Rotary Burs with the Spectral Edge Distribution
oden Appled Scence The Fomn Theoy and the NC achnn fo The Rotay us wth the Spectal Ede Dstbuton Huan Lu Depatment of echancal Enneen, Zhejan Unvesty of Scence and Technoloy Hanzhou, c.y. chan, 310023,
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 informationChapter 23: Electric Potential
Chapte 23: Electc Potental Electc Potental Enegy It tuns out (won t show ths) that the tostatc foce, qq 1 2 F ˆ = k, s consevatve. 2 Recall, fo any consevatve foce, t s always possble to wte the wok done
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 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 informationSome Approximate Analytical Steady-State Solutions for Cylindrical Fin
Some Appoxmate Analytcal Steady-State Solutons fo Cylndcal Fn ANITA BRUVERE ANDRIS BUIIS Insttute of Mathematcs and Compute Scence Unvesty of Latva Rana ulv 9 Rga LV459 LATVIA Astact: - In ths pape we
More informationDesign and Simulation of a Three-Phase Electrostatic Cylindrical Rotary Micromotor
Intenatonal Jounal of Advanced Botechnology and Reseach (IJBR) ISSN 0976-61, Onlne ISSN 78 599X, Vol-7, Specal Issue-Numbe5-July, 016, pp917-91 http://www.bpublcaton.com Reseach Atcle Desgn and Smulaton
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 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 informationCSU ATS601 Fall Other reading: Vallis 2.1, 2.2; Marshall and Plumb Ch. 6; Holton Ch. 2; Schubert Ch r or v i = v r + r (3.
3 Eath s Rotaton 3.1 Rotatng Famewok Othe eadng: Valls 2.1, 2.2; Mashall and Plumb Ch. 6; Holton Ch. 2; Schubet Ch. 3 Consde the poston vecto (the same as C n the fgue above) otatng at angula velocty.
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 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 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 informationPHY126 Summer Session I, 2008
PHY6 Summe Sesson I, 8 Most of nfomaton s avalable at: http://nngoup.phscs.sunsb.edu/~chak/phy6-8 ncludng the sllabus and lectue sldes. Read sllabus and watch fo mpotant announcements. Homewok assgnment
More informationState Feedback Controller Design via Takagi- Sugeno Fuzzy Model : LMI Approach
State Feedback Contolle Desgn va akag- Sugeno Fuzzy Model : LMI Appoach F. Khabe, K. Zeha, and A. Hamzaou Abstact In ths pape, we ntoduce a obust state feedback contolle desgn usng Lnea Matx Inequaltes
More informationA New Approach for Deriving the Instability Potential for Plates Based on Rigid Body and Force Equilibrium Considerations
Avalable onlne at www.scencedect.com Poceda Engneeng 4 (20) 4 22 The Twelfth East Asa-Pacfc Confeence on Stuctual Engneeng and Constucton A New Appoach fo Devng the Instablty Potental fo Plates Based on
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 informationResearch Article A Robust Longitudinal Control Strategy for Safer and Comfortable Automotive Driving
Reseach Jounal of Appled Scences, Engneeng and Technology 7(3): 506-5033, 014 DOI:10.1906/jaset.7.896 ISSN: 040-7459; e-issn: 040-7467 014 Mawell Scentfc Publcaton Cop. Submtted: Febuay 18, 014 Accepted:
More informationChapter 12 Equilibrium and Elasticity
Chapte 12 Equlbum and Elastcty In ths chapte we wll defne equlbum and fnd the condtons needed so that an object s at equlbum. We wll then apply these condtons to a vaety of pactcal engneeng poblems of
More informationRotary motion
ectue 8 RTARY TN F THE RGD BDY Notes: ectue 8 - Rgd bod Rgd bod: j const numbe of degees of feedom 6 3 tanslatonal + 3 ota motons m j m j Constants educe numbe of degees of feedom non-fee object: 6-p
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 informationAdaptive Fuzzy Dynamic Surface Control for a Class of Perturbed Nonlinear Time-varying Delay Systems with Unknown Dead-zone
Intenatonal Jounal of Automaton and Computng 95, Octobe 0, 545-554 DOI: 0.007/s633-0-0678-5 Adaptve Fuzzy Dynamc Suface Contol fo a Class of Petubed Nonlnea Tme-vayng Delay Systems wth Unknown Dead-zone
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 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 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 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 informationStudy on Vibration Response Reduction of Bladed Disk by Use of Asymmetric Vane Spacing (Study on Response Reduction of Mistuned Bladed Disk)
Intenatonal Jounal of Gas ubne, Populson and Powe Systems Febuay 0, Volume 4, Numbe Study on Vbaton Response Reducton of Bladed Dsk by Use of Asymmetc Vane Spacng (Study on Response Reducton of Mstuned
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 informationContact, information, consultations
ontact, nfomaton, consultatons hemsty A Bldg; oom 07 phone: 058-347-769 cellula: 664 66 97 E-mal: wojtek_c@pg.gda.pl Offce hous: Fday, 9-0 a.m. A quote of the week (o camel of the week): hee s no expedence
More informationCEEP-BIT WORKING PAPER SERIES. Efficiency evaluation of multistage supply chain with data envelopment analysis models
CEEP-BIT WORKING PPER SERIES Effcency evaluaton of multstage supply chan wth data envelopment analyss models Ke Wang Wokng Pape 48 http://ceep.bt.edu.cn/englsh/publcatons/wp/ndex.htm Cente fo Enegy and
More informationVibration Input Identification using Dynamic Strain Measurement
Vbaton Input Identfcaton usng Dynamc Stan Measuement Takum ITOFUJI 1 ;TakuyaYOSHIMURA ; 1, Tokyo Metopoltan Unvesty, Japan ABSTRACT Tansfe Path Analyss (TPA) has been conducted n ode to mpove the nose
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 informationScienceDirect. Dynamic model of a mobile robot
Avalable onlne at www.scencedect.com ScenceDect Poceda Engneeng 96 (014 ) 03 08 Modellng of Mechancal and Mechatonc Systems MMaMS 014 Dynamc model of a moble obot Ján Kadoš* Faculty of Electcal Engneeng
More informationChapter 13 - Universal Gravitation
Chapte 3 - Unesal Gataton In Chapte 5 we studed Newton s thee laws of moton. In addton to these laws, Newton fomulated the law of unesal gataton. Ths law states that two masses ae attacted by a foce gen
More informationUnknown Input Based Observer Synthesis for a Polynomial T-S Fuzzy Model System with Uncertainties
Unknown Input Based Obseve Synthess fo a Polynomal -S Fuzzy Model System wth Uncetantes Van-Phong Vu Wen-June Wang Fellow IEEE Hsang-heh hen Jacek M Zuada Lfe Fellow IEEE Abstact hs pape poposes a new
More information2/24/2014. The point mass. Impulse for a single collision The impulse of a force is a vector. The Center of Mass. System of particles
/4/04 Chapte 7 Lnea oentu Lnea oentu of a Sngle Patcle Lnea oentu: p υ It s a easue of the patcle s oton It s a vecto, sla to the veloct p υ p υ p υ z z p It also depends on the ass of the object, sla
More informationMechanics Physics 151
Mechancs Physcs 151 Lectue 18 Hamltonan Equatons of Moton (Chapte 8) What s Ahead We ae statng Hamltonan fomalsm Hamltonan equaton Today and 11/6 Canoncal tansfomaton 1/3, 1/5, 1/10 Close lnk to non-elatvstc
More informationA Study about One-Dimensional Steady State. Heat Transfer in Cylindrical and. Spherical Coordinates
Appled Mathematcal Scences, Vol. 7, 03, no. 5, 67-633 HIKARI Ltd, www.m-hka.com http://dx.do.og/0.988/ams.03.38448 A Study about One-Dmensonal Steady State Heat ansfe n ylndcal and Sphecal oodnates Lesson
More informationModelling of tangential vibrations in cylindrical grinding contact with regenerative chatter
Modellng of tangental vbatons n cylndcal gndng contact wth egeneatve chatte Vel-Matt ävenpää, Lhong Yuan, Hessam Kalbas Shavan and asal Mehmood ampee Unvesty of echnology epatment of Engneeng esgn P.O.Bo
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 informationDynamic Performance, System Identification and Sensitivity Analysis of the Ladder Tracks. Ontario, Canada
Dynamc Pefomance, System Identfcaton and Senstvty Analyss of the adde Tacks D. Younesan 1, S. Mohammadzadeh 1, E. Esmalzadeh 1 School of Ralway Engneeng, Ian Unvesty of Scence and Technology, Tehan, Ian,
More informationgravity r2,1 r2 r1 by m 2,1
Gavtaton Many of the foundatons of classcal echancs wee fst dscoveed when phlosophes (ealy scentsts and atheatcans) ted to explan the oton of planets and stas. Newton s ost faous fo unfyng the oton of
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 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 informationCOLLEGE OF FOUNDATION AND GENERAL STUDIES PUTRAJAYA CAMPUS FINAL EXAMINATION TRIMESTER /2017
COLLEGE OF FOUNDATION AND GENERAL STUDIES PUTRAJAYA CAMPUS FINAL EXAMINATION TRIMESTER 1 016/017 PROGRAMME SUBJECT CODE : Foundaton n Engneeng : PHYF115 SUBJECT : Phscs 1 DATE : Septembe 016 DURATION :
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 informationADAPTIVE SLIDING MODE CONROL WITH RADIAL BASIS FUNCTION NEURAL NETWORK FOR TIME DEPENDENT DISTURBANCES AND UNCERTAINTIES
VOL., NO. 6, MARCH 6 ISSN 89-668 ARPN Jounal of Engneeng an Apple Scences 6-6 Asan Reseach Publshng Netwok (ARPN). All ghts eseve. ADAPIVE SLIDING MODE CONROL WIH RADIAL BASIS FUNCION NEURAL NEWORK FOR
More informationMinimising Energy Consumption for Robot Arm Movement
Mnmsng Enegy Consumpton fo obot Am Movement Abdullah Mohammed, Benad Schmdt, Lhu Wang, Lang Gao KH oyal Insttute of echnology, Bnellvägen 8, Stockholm, SE- Sweden, E-Mal: abdullah.mohammed@tm.kth.se, lhu.wang@p.kth.se
More informationA Queuing Model for an Automated Workstation Receiving Jobs from an Automated Workstation
Intenatonal Jounal of Opeatons Reseach Intenatonal Jounal of Opeatons Reseach Vol. 7, o. 4, 918 (1 A Queung Model fo an Automated Wokstaton Recevng Jobs fom an Automated Wokstaton Davd S. Km School of
More informationOptimal System for Warm Standby Components in the Presence of Standby Switching Failures, Two Types of Failures and General Repair Time
Intenatonal Jounal of ompute Applcatons (5 ) Volume 44 No, Apl Optmal System fo Wam Standby omponents n the esence of Standby Swtchng Falues, Two Types of Falues and Geneal Repa Tme Mohamed Salah EL-Shebeny
More informationClosed-loop adaptive optics using a CMOS image quality metric sensor
Closed-loop adaptve optcs usng a CMOS mage qualty metc senso Chueh Tng, Mchael Gles, Adtya Rayankula, and Pual Futh Klpsch School of Electcal and Compute Engneeng ew Mexco State Unvesty Las Cuces, ew Mexco
More informationPotential Fields in Cooperative Motion Control and Formations
Pepaed by F.L. Lews and E. Stngu Updated: Satuday, Febuay 0, 03 Potental Felds n Coopeatve Moton Contol and Fomatons Add dscusson. Refe to efs.. Potental Felds Equaton Chapte Secton The potental s a scala
More informationALL QUESTIONS ARE WORTH 20 POINTS. WORK OUT FIVE PROBLEMS.
GNRAL PHYSICS PH -3A (D. S. Mov) Test (/3/) key STUDNT NAM: STUDNT d #: -------------------------------------------------------------------------------------------------------------------------------------------
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 informationUnconventional double-current circuit accuracy measures and application in twoparameter
th IMEKO TC Wokshop on Techncal Dagnostcs dvanced measuement tools n techncal dagnostcs fo systems elablty and safety June 6-7 Wasaw Poland nconventonal double-cuent ccut accuacy measues and applcaton
More informationPhysics 207 Lecture 16
Physcs 07 Lectue 6 Goals: Lectue 6 Chapte Extend the patcle odel to gd-bodes Undestand the equlbu of an extended object. Analyze ollng oton Undestand otaton about a fxed axs. Eploy consevaton of angula
More informationMachine Learning. Spectral Clustering. Lecture 23, April 14, Reading: Eric Xing 1
Machne Leanng -7/5 7/5-78, 78, Spng 8 Spectal Clusteng Ec Xng Lectue 3, pl 4, 8 Readng: Ec Xng Data Clusteng wo dffeent ctea Compactness, e.g., k-means, mxtue models Connectvty, e.g., spectal clusteng
More information6.6 The Marquardt Algorithm
6.6 The Mqudt Algothm lmttons of the gdent nd Tylo expnson methods ecstng the Tylo expnson n tems of ch-sque devtves ecstng the gdent sech nto n tetve mtx fomlsm Mqudt's lgothm utomtclly combnes the gdent
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 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 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 informationANALYSIS OF AXIAL LOADED PILE IN MULTILAYERED SOIL USING NODAL EXACT FINITE ELEMENT MODEL
Intenatonal Jounal of GEOMATE, Apl, 8 Vol. 4, Issue 44, pp. -7 Geotec., Const. Mat. & Env., DOI: https://do.og/.66/8.44.785 ISS: 86-98 (Pnt), 86-99 (Onlne), Japan AAYSIS OF AXIA OADED PIE I MUTIAYERED
More informationExperimental study on parameter choices in norm-r support vector regression machines with noisy input
Soft Comput 006) 0: 9 3 DOI 0.007/s00500-005-0474-z ORIGINAL PAPER S. Wang J. Zhu F. L. Chung Hu Dewen Expemental study on paamete choces n nom- suppot vecto egesson machnes wth nosy nput Publshed onlne:
More informationA NOVEL DWELLING TIME DESIGN METHOD FOR LOW PROBABILITY OF INTERCEPT IN A COMPLEX RADAR NETWORK
Z. Zhang et al., Int. J. of Desgn & Natue and Ecodynamcs. Vol. 0, No. 4 (205) 30 39 A NOVEL DWELLING TIME DESIGN METHOD FOR LOW PROBABILITY OF INTERCEPT IN A COMPLEX RADAR NETWORK Z. ZHANG,2,3, J. ZHU
More informationDirichlet Mixture Priors: Inference and Adjustment
Dchlet Mxtue Pos: Infeence and Adustment Xugang Ye (Wokng wth Stephen Altschul and Y Kuo Yu) Natonal Cante fo Botechnology Infomaton Motvaton Real-wold obects Independent obsevatons Categocal data () (2)
More informationEFFICIENT COMPUTATION OF THE GENERALIZED INERTIAL TENSOR OF ROBOTS BY USING THE GIBBS- APPELL EQUATIONS
EFFICIEN CMPUAIN F HE ENERALIZED INERIAL ENSR F RBS BY USIN HE IBBS- APPELL EQUAINS Povenzano S. (*) Mata V.(**) Ceccaell M.(***) and Suñe J.L. (**) (*) Escuela de Ingeneía Mecánca Unvesdad de Los Andes
More informationFormation Control with Leadership Alternation for Obstacle Avoidance
Pepnts of the 8th IFAC Wold Congess Mlano (Italy) August 8 - Septembe, Fomaton Contol wth Leadeshp Altenaton fo Obstacle Avodance Jose M. V. Vlca Maco H. Tea Vald Gass J. Depatment of Electcal Engneeng,
More informationDynamic State Feedback Control of Robotic Formation System
so he 00 EEE/RSJ ntenatonal Confeence on ntellgent Robots and Systems Octobe 8-, 00, ape, awan Dynamc State Feedback Contol of Robotc Fomaton System Chh-Fu Chang, Membe, EEE and L-Chen Fu, Fellow, EEE
More informationRotational Kinematics. Rigid Object about a Fixed Axis Western HS AP Physics 1
Rotatonal Knematcs Rgd Object about a Fxed Axs Westen HS AP Physcs 1 Leanng Objectes What we know Unfom Ccula Moton q s Centpetal Acceleaton : Centpetal Foce: Non-unfom a F c c m F F F t m ma t What we
More information