Analytical Design of Takagi-Sugeno Fuzzy Control Systems

Size: px
Start display at page:

Download "Analytical Design of Takagi-Sugeno Fuzzy Control Systems"

Transcription

1 005 Amecan Conto Confeence June 8-0, 005 Potand, OR, USA WeC75 Anaytca Desgn of aag-sugeno uzzy Conto Systems Guang Ren, Zh-Hong Xu Abstact Based on the popetes anayss of aag- Sugeno (-S) fuzzy systems wth two-oveapped fuzzy patton (P) nputs, an anaytca desgn appoach of -S fuzzy conto systems s poposed n ths pape hs appoach ncudes two pats: () A new method to chec the stabty of a -S fuzzy conto system whch ony eques to fnd a common postve-defnte matx n each maxma oveapped-ues goup (MORG) hs method can educe the consevatsm and dffcuty of the fome stabty anayss methods () he systematc desgn of -S fuzzy contoes by means of the paae dstbuted compensaton (PDC) and nea matx nequates (LMI) he smuaton esuts of a nonnea mass-spng-dampe system show that ths appoach s effectve I INRODUCION ECENLY, fuzzy conto has been successfuy Rapped to a vaety of ndusta pocesses such as bath chemca eactos, cement ns, etc Howeve, we st need effcent anaytca desgn methods to mpove systems pefomance Based on aag-sugeno (-S) fuzzy modes [], many schoas have been studyng the stabty anayss and systematc desgn of -S fuzzy systems anaa and Sugeno poposed a desgn and a stabty method fo fuzzy systems va the Lyapunov dect method [] It s equed that fo a oca nea modes a common postve-defnte matx P must be found to satsfy the Lyapunov equaton In many cases, t s dffcut to fnd a common postve-defnte matx P when the numbe of ues fo the fuzzy system s age Cao et a poposed the goba mode of a -S fuzzy system wth m ues to m oca nea uncetan subsystems, and utzed the quadatc stabzaton of nea uncetan systems to dscuss the stabty of fuzzy systems [] Johansson et a poposed a stabty condton of fuzzy systems that seaches fo dffeent quadatc Lyapunov Manuscpt eceved August 6, 004 hs wo was suppoted n pat by the Mnsty of Communcaton of Chna Gant and Doctoa Bases oundaton of the Educatona Commttee of Chna Gant G Ren s wth the Mane Engneeng Coege, Daan Matme Unvesty, Daan, 606 Chna (e-ma: eng@dmueducn) Z H Xu s wth the Reseach Cente of Infomaton and Conto, Daan Unvesty of echnoogy, Daan, 604 Chna He s aso wth the Depatment of Command Conto, Daan Nava Academy, Daan, 608 Chna (e-ma: xzhdy@6com) functons n dffeent opeatng egons to consttute a contnuous Lyapunov functon n goba state space [4] Zhang et a empoyed the maxmum defuzzfe to avod the dffcuty of fndng a common postve-defnte matx P [5] hese appoaches eax the stabty condton of [] to some extent, but each appoach has ts mtatons Snce Cao et a teat -S fuzzy systems as a nd of nea uncetan system and don t mae the best use of the stuctua nfomaton of the ue s pemses, the uppe boundaes of oca subsystems ae not easy found Johansson et a mae use of the stuctua nfomaton of the ue s pemses, howeve, thee ae many stuatons whee a contnuous Lyapunov functon s too estctve Compaed wth the cente-aveage defuzzfe commony used n pactce, the maxmum defuzzfe adopted by Zhang et a doesn t mae use of the nfomaton of the ues wth esse fng stength heefoe, athough thee has been much pogess made n ecent yeas, the stabty anayss and systematc desgn of -S fuzzy systems have not been soved pefecty because these systems ae essentay nonnea and compex In ths pape, we use the stuctua nfomaton n the ue base to decease the consevatsm and dffcuty of the fuzzy conto system desgn he two-oveapped fuzzy patton (P) s defned by summazng the common chaactestc of the nput vaabe membeshp functons of most fuzzy systems Based on the popetes of fuzzy systems wth P nputs, we popose a new method fo stabty anayss of -S fuzzy conto systems wth P nputs by constuctng a pecewse smooth quadatc (PSQ) Lyapunov functon Usng the methods of paae dstbuted compensaton (PDC) [6] and nea matx nequates (LMI) [7, 8], we pesent an anaytca desgn appoach of -S fuzzy conto systems, whch s demonstated by the smuaton esuts of a nonnea mass-spng-dampe system hs pape s oganzed as foows he defntons and popetes about -S fuzzy systems wth P nputs ae pesented n Secton II In Secton III we ntoduce a PSQ Lyapunov functon as a too fo anayzng the stabty of cose-oop -S fuzzy systems wth P nputs In Secton IV, an anaytca desgn appoach of -S fuzzy conto systems s dscussed n deta, and apped to a nonnea mass-spng-dampe system he concusons ae gven n the ast pat of the pape /05/$ AACC 7

2 II -S UZZY SYSEMS WIH WO-OVERLAPPED UZZY PARIION INPUS A he Mode of -S uzzy Pants he contnuous -S fuzzy dynamc mode s descbed by fuzzy I-HEN ues, whch epesent oca nea nput-output eatons of nonnea systems A contnuous-tme pant can be epesented by fuzzy ues as R : I x ( s and and x n ( s n HEN x ( = A x( Bu (, =,,, () whee R denotes the th fuzzy nfeence ue, denotes the numbe of nfeence ues, (=,,,n) denote nput fuzzy sets, x( = [ x (, x(,, xn( ], x R n, denotes the state vecto, u R denotes the nput vaabe, (A, B ) epesents the th oca mode paametes of the fuzzy system By usng sngeton fuzzfe, poduct nfeence and cente-aveage defuzzfe, the foowng dynamc goba mode can be obtaned: = n x ( = w ( A x( B u( ) w () whee w = ue Let h = w = = = = ( x ( ) s the fng stength of the th w, () can be ewtten as: { A x( B u( } x ( = h () B wo-oveapped uzzy Patton (P) Assume that the fuzzy membeshp functons studed n ths pape ae contnuous functons n the unvese of dscouse Defnton : A custe of fuzzy sets {, =,,, } ae sad to be a two-oveapped fuzzy patton n the unvese X f each of (=,,,) oveaps wth ts neghbong fuzzy sets, but doesn t oveap wth ts non-neghbong fuzzy sets s sad to be the numbe of fuzzy patton of X Defnton : o a state nput x=[x,x,,x n ], a the ues of a fuzzy system whch satsfy the fng stength w >0 consttute an oveapped-ues goup he state nput x s sad to be an opeatng pont of ths oveapped-ues goup he aggegate of opeatng ponts of an oveapped-ues goup s sad to be the opeatng egon of ths oveapped-ues goup Defnton : An oveapped-ues goup wth the agest amount of ues s sad to be a maxma oveapped-ues goup (MORG) he essenta chaacte of P s that each fuzzy set ony oveaps wth ts neghbong fuzzy sets he standad fuzzy patton (SP) poposed by Xu and Ren [9] has ths chaacte, theefoe the SP s a speca case of the P In g, we can see that (a) s a SP and aso a P, (b) s a P but not a SP, fo the fuzzy sets ae not satsfed the condton of fu-oveapped; (c) s not a P, fo thee ae fuzzy sets oveapped on (x, x ) o ustate the concept of MORGs, we tae a -S fuzzy system wth two-nputs and snge-output (ISO) as R : I x s and x s HEN x = Ax, =,,; =,, whee x and x ae nput vaabes of the fuzzy system he fuzzy patton of x s {, =,, }, and the fuzzy patton of x s {, =,, } { } and { } empoy tapezoda membeshp functons and confom to the condtons of P he setch map of the system s nput space s shown n g (a) x - - (x ) (x ) M M M - x x (c) M M S S D S 4 S A S M M M M - g he setch map of a ISO system s nput space In g we can see that thee ae 5 oveapped-ues goups n ths system: S S 4 ae the opeatng egons of 4 MORGs, whee S ncudes 4 ues denoted as R, R, R, R ; S ncudes 4 ues denoted as R, R, R, R ; S ncudes 4 ues denoted as R, R, R, R ; S 4 ncudes 4 ues denoted as R, R, R, R M M ae the opeatng egons of soe-ue goups Each of the othe oveapped-ues goups ncudes ues, fo exampe, S A ncudes ues denoted as R, R S C S B S (b) g Iustatons of Ps and non-ps x 74

3 C Popetes of uzzy Conto Systems wth P Inputs he foowng popostons ndcate two mpotant popetes of fuzzy conto systems wth P nputs: Poposton : If the nput vaabes of a fuzzy conto system adopt Ps, then the numbe of ues n a MORG s n n, and the numbe of MORGs s ( m ) whee n = denotes the numbe of nput vaabes, m denotes the numbe of fuzzy patton of the th nput vaabe Poof: Let n denote the numbe of nput vaabes, the n system denotes a system wth n nput vaabes If n=, then the numbe of the nput fuzzy patton m s the numbe of ues Snce the system nput vaabe empoys a P, the numbe of oveapped fuzzy sets s, and thee ae m oveapped-ues goups We can obtan that thee ae ues n each MORG, and the numbe of MORGs s m he concuson hods Assume that the concuson hods when n=, that s, the numbe of ues ncuded n MORGs s, and the numbe of MORGs s ( m ) = Consde the case of n= Assume that the numbe of fuzzy patton of the th nput vaabe s m he n= system s fomed by addng an nput vaabe to the n= system, that s, addng an and connectng tem to the pemses of the n= system s fuzzy ues Hence the numbe of ues n the n= system s m tmes the numbe n the n= system Snce the th nput vaabe empoys a P, the numbe of oveapped fuzzy sets s, and thee ae m oveapped fuzzy set goups Each of the oveapped fuzzy sets connects wth the pemses of evey ues of a MORG of the n= system by an and to fom ues of the n= system heefoe, the numbe of ues n a MORG of the n= system s = Snce each oveapped fuzzy sets goup of the th nput vaabe combnes wth each MORG of the n= system to fom a MORG of the n= system, the numbe of MORGs of the n= system wth P nputs s ( m ) ( m ) = ( m ) = = he concuson hods By deducton, the poof s now competed Poposton : If the nput vaabes of a fuzzy conto system adopt Ps, then a the ues n an oveapped-ues goup must be ncuded n a MORG Poof: Let n denote the numbe of nput vaabes, the n system denotes a system wth n nput vaabes If n=, a non-morg ncudes one ue, and a MORG ncudes ues It s cea that each non-morg s ncuded n a MORG, thus the concuson hods Assume that the concuson hods when n=, that s, each non-morg s ncuded n a MORG when n= Consde the case of n= he n= system s fomed by addng an nput vaabe to the n= system, that s, addng an and connectng tem to the pemses of the n= system s fuzzy ues Snce the th nput vaabe empoys a P, each fuzzy set of the th nput vaabe s oveapped wth ts neghbos, and the numbe of oveapped fuzzy sets s Let G denote an oveapped-ues goup of the n= system fomed by the soe fuzzy set of the th nput vaabe connectng wth the pemses of ues n an oveapped-ues goup of the n= system by an and, and G denote an oveapped-ues goup of the n= system fomed by each of the oveapped fuzzy sets of the th nput vaabe connectng wth the pemses of ues n an oveapped-ues goup of the n= system by an and It s cea that G G, so we ony need to study the case of In the case G, t foms a non-morg of the n= system to connect each of the oveapped fuzzy sets of the th nput vaabe wth a pemses of ues n a non-morg of the n= system by an and (fo the numbe of ues n ths goup s ess than ), and t foms a MORG of the n= system to connect each of the oveapped fuzzy sets of the th nput vaabe wth a pemses of ues n a MORG of the n= system by an and (fo the numbe of ues n ths goup s = ) heefoe, n the n= system, a ues n a non-morg must be ncuded n a MORG he concuson hods By deducton, the poof s now competed III SABILIY ANALYSIS O CLOSED-LOOP -S UZZY CONROL SYSEMS WIH P INPUS A Paae Dstbuted Compensaton (PDC) PDC s a smpe and natua desgn technque fo -S fuzzy modes () In PDC concept, each conto ue s dstbutvey desgned fo the coespondng ue of a -S fuzzy mode Lnea conto theoy can be used to desgn the consequent pats of a fuzzy contoe, because the consequent pats of -S fuzzy modes ae descbed by nea state equatons he fuzzy contoe shaes the same fuzzy sets wth the fuzzy mode n the pemse pats o (), et K denote the state feedbac gan of the th oca mode hus, the oca conto aws ae R : I x s and and x n s n HEN u=k x, =,,, (4) he goba mode of fuzzy contoes s nfeed as u = = h K x B he Extended Lyapunov Stabty heoy A suffcent condton to chec the stabty of a conto system va the extended Lyapunov theoy [, 0] s shown as heoem : Assume that a system can be descbed by (5) 75

4 x = f (x) whee x R n, f(x) s a n functon vecto, and satsfes f(0)=0 Suppose that thee exsts a pecewse smooth quadatc (PSQ) functon V(x) such that (a) V(0)=0, (b) V(x)>0, fo x 0, (c) V (x) as x, (d) V < 0, fo x 0 whee V (x) at the ght and eft dscontnuous ponts of V(x) ae defned as the ght-hand devatve and the eft-hand devatve espectvey hen the equbum state x=0 s asymptotcay stabe n the age, and V(x) s a PSQ Lyapunov functon C Stabty Anayss of -S uzzy Conto Systems Based on the popetes of fuzzy systems wth the P nputs, we pesent a new method fo stabty anayss of cosed-oop -S fuzzy conto systems wth the P nputs as foows heoem : o a fuzzy conto system whch s descbed by () and (4), f the nput vaabes adopt Ps, then the equbum of a cosed-oop fuzzy conto system s asymptotcay stabe n the age f thee exsts a common postve-defnte matx P n each MORG satsfyng the foowng condton (C) o (C): (C): G P PG < 0,, L ; =,,, n ( m p ) (C): G P P G < 0, L ; and p= G G G G P P < 0,, L and <; =,,, n ( m p ) p= whee G =A B K, L ={the sequence numbes of ues ncuded n the th MORG } Poof: Assume that the system state nput s x=[x, x,, x n ] hee ae oveapped-ues goups n the system, ={the sequence numbes of ues ncuded n the th oveapped-ues goup} S (=,,,) ae opeatng egons of oveapped-ues goups, and satsfy S = S Snce n the opeatng egon S, thee exst h 0, < = h h =, and h hh =, then the oca, mode of the cosed-oop system s x = h A x B h Kx h h ( A B K ) x = = h hg h < G G = h G h h x (6), If n the opeatng egon S, thee exsts a common postve-defnte matx P satsfyng (7) o (8) and (9) G P PG < 0,, (7) G P P G < 0, (8) G G G G P P < 0,, and < (9) then we seect V (x)=x P x as a Lyapunov functon n S It can be easy vefed that V (x) satsfes (a),(b) and (c) of heoem n S om (7) o (8) and (9), and wth h >0, fo x0, we have V = m ( V t )) V ) ) = x P x x P x 0 = hhg x P x x P hhg x = = { x ( G P P G x} h h ) { x ( G P P G x} h ) < G G G G h h x P P x < 0, (0) hus, V (x) aso satsfes (d) of heoem n S he chaactestc functon of S s defned by, x S (x) =, () 0, othe λ = = hen the goba mode of the cosed-oop -S fuzzy conto system can be constucted as x = λ ( x) h hg x () = Let P = λ, () = P A goba Lyapunov functon can be constucted as: V(x)=x Px om () we have V = x λ P x = λ x P x = λ V (4) = = = It can be easy vefed that V(x) satsfes (a),(b) and (c) of heoem V(x) s a PSQ functon, the devatves at the ght and eft dscontnuous ponts of V(x) ae defned as the ght-hand devatve and eft-hand devatve espectvey om the defnton of a devatve and (0), fo x0, we have dv V = = m ( V t )) V ) ) dt 0 76

5 = m λ V t )) λ V ) 0 = = = λ m ( V ( x( t )) V ( x( ) ) = λ < 0 0 = V = So V(x) aso satsfes (d) of heoem V(x) s a PSQ Lyapunov functon of the cosed-oop fuzzy conto system descbed by () and (4) heefoe, we can each a concuson as fo a fuzzy conto system whch dscbed by () and (4), f the nput vaabes adopt Ps, then the equbum of the cosed-oop fuzzy conto system s asymptotcay stabe n the age f thee exsts a common postve-defnte matx P n each oveapped-ues goup satsfyng (7) o (8) and (9) om Poposton, f the nput vaabes of a fuzzy conto system adopt Ps, a the ues of an oveapped-ues goup must be ncuded n a MORG So we ony eque to fnd a common postve-defnte matx P n each MORG satsfyng (C) o (C) he poof s now competed IV ANALYICAL DESIGN AND IS APPLICAION O -S UZZY CONROL SYSEMS WIH P INPUS A Anaytca Desgn of -S uzzy Contoes wth P Input If the -S fuzzy pant s ocay contoabe, e (A, B ), =,,, ae contoabe pas, the feedbac conto gans K, (=,,,) can be deved fom Acemann s fomua By usng nea system theoy, we can assgn the egenvaues of (A B K ) to get a desed pefomance heefoe, the anaytca desgn pocedue of a fuzzy contoe s as Step : o a -S fuzzy pant descbed by (), vefy that a the oca nea subsystems ae contoabe hat s, an (B, A B,, A n- B )=n, =,, Step : Usng nea system theoy, assgn the egenvaues of each (A B K ) accodng to the desed pefomance Step : Cacuate the feedbac gan K of each oca nea subsystem va Acemann s fomua Step 4: nd a the MORGs of the -S fuzzy system accodng to Poposton, and appy heoem to chec the stabty of the cosed-oop -S fuzzy conto system If the system s not stabe, go bac to step to eassgn the egenvaues of each (A B K ) t satsfyng heoem In ths step, the seach fo a common P n each MORG appoaches as a convex optmzaton pobem n tems of LMI, and LMI-ab toos can be utzed [8] Step 5: Combne the state-feedbac contoes of oca nea subsystems to a goba mode of the contoe accodng to (5) hough compute smuatons o pactca expementatons, f the contoe acheves a desed pefomance, then the desgn of fuzzy contoe s ove Othewse, go bac to step to eassgn the egenvaues of each (A B K ) t the desed pefomance s acheved B An Exampe to Iumnate the Anaytca Desgn Appoach of -S uzzy Contoes o ustate the anaytca desgn of -S fuzzy conto systems poposed above, we sha desgn a fuzzy contoe fo a nonnea mass-spng-dampe mechanca system used by anaa et a [6] as M x g( x, x ) f = φ ( x ) u (5) whee M s the mass and u s the foce g( x, x ), f, φ( x ) ae the nonnea tems wth espect to the dampe, spng and nput Assume that x [-5,5], x [-5,5], M=0, g( x, x ) = x, f = 00x 0x, φ ( x ) = 0x hen (5) can be ewtten as x = x 00x 0x ( 0x ) u (6) (6) can be appoxmated by a -S fuzzy mode as R : I x s and x s HEN x = A x Bu, =,,,9 (7) whee x =x, the fuzzy sets of x ae {, =,, }; x = x, the fuzzy sets of x ae {, =,,} ; = = =, = = =, 6 9 = = =, = = =, = = =, = = = he membeshp functons of the nput vaabes fuzzy sets ae shown n g g he membeshp functons of nput vaabes In g we can see that the nput vaabes of the fuzzy system empoy Ps hee ae 4 MORGs n ths system whose opeatng egons denoted as S S 4 : S ncudes 4 ues denoted as R, R, R 4, R 5 ; S ncudes 4 ues denoted as R, R, R 5, R 6 ; S ncudes 4 ues denoted as R 4, R 5, R 7, R 8 ; S 4 ncudes 4 ues denoted as R 5, R 6, R 8, R 9 he paamete matxes of the oca subsystems ae as 0 A = A = A7 = A =, A = A =, 0 8 A =, x x 77

6 0 A 4 = A =, B =B 4 =B 7 =[0, 07046], B =B 5 =B 8 =[0, ], B =B 6 =B 9 =[0, 954] If we seect the cosed-oop egenvaues of the 9 oca nea subsystems va state-feedbac to be: p =p =p = p 4 =p 5 =p 6 =p 7 =p 8 =p 9 =[, ]; then the state feedbac gans K of 9 oca nea subsystems can be deved fom Acemann s fomua as K =[545, 487], K =[765, 40], K =[9064, 509], K 4 =[5668, 487], K 5 =[99, 40], K 6 =[080, 509], K 7 =[545, 487], K 8 =[765, 40], K 9 =[9064, 509], and we can cacuate a G =A B K ; =,,,9; =,,,9 We have found 4 common postve-defnte matxes n 4 MORGs satsfyng the condton (C) of heoem va the LMI appoach as P = P =, P = P = We have aso found 4 common postve-defnte matces n 4 MORGs satsfyng the condton (C) of heoem va the LMI appoach as P = P =, P = P = So we can concude that the fuzzy system descbed by (7) wth state feedbac contoes u= K x, =,,, 9, s stabe by heoem We smuate the system (6) wth the fuzzy contoe usng vaous nta condtons he esuts of smuaton show that ths system s stabe unde a nta condtons he system state esponses unde the nta condton of x 0 =[, ] ae shown n g4 V CONCLUSION Stabty anayss and systematc desgn ae two mpotant ssues n anaytca desgn of -S fuzzy conto systems We summaze the common ponts of membeshp functons of most fuzzy conto system s nput vaabes, and defne the concepts eated to a P Based on the popetes of a fuzzy conto system wth P nputs, a new suffcent condton to chec the stabty of a cosed-oop -S fuzzy conto system s poposed va the extended Lyapunov theoy hs method ony eques to fnd a common postve-defnte matx n each maxma oveapped-ues goup, and can geaty educe the consevatsm and dffcuty of the fome stabty anayss appoaches An anaytca desgn appoach of a -S fuzzy contoe s poposed and apped to a nonnea mass-spng-dampe mechanca system by usng the method of PDC he smuaton esut of a mass-spng-dampe conto system shows that ths appoach s effectve In pactca appcatons, the fuzzy membeshp functons of the nput vaabes of most fuzzy conto systems satsfy the condtons of P heefoe, the esuts nvestgated n ths pape can be wdey used n othe conto pocesses REERENCES [] aag, M Sugeno, uzzy dentfcaton of systems and appcatons to modeng and conto, IEEE ans Systems Man and Cybenetcs, vo 5, pp 6-, 985 [] K anaa, M Sugeno, Stabty anayss and desgn of fuzzy conto systems, uzzy Sets and Systems, vo 45, pp 5-56, 99 [] S G Cao, N W Rees, G eng, Quadatc stabty anayss and desgn of contnuous-tme fuzzy conto systems, System Scence, vo 7, pp 9-0, 996 [4] M Johansson, A Rantze, K E Azen, Pecewse quadatc stabty of fuzzy systems, IEEE ans uzzy Systems, vo 7, pp 7-7, 999 [5] J M Zhang, R H L, P A Zhang, Stabty anayss and systematc desgn of fuzzy conto systems, uzzy Sets and Systems, vo 0, pp 65-67, 00 [6] K anaa, Ieda, H O Wang, Robust stabzaton of a cass of uncetan nonnea systems va fuzzy conto: quadatc stabty, H conto theoy and nea matx nequates, IEEE ans uzzy Systems, vo4, no, pp-, 996 [7] H O Wang, K anaa, M Gffn, An appoach to fuzzy conto of nonnea systems: Stabty and desgn ssues, IEEE ans uzzy Systems, vo 4, no, pp 4-, 996 [8] J Pa, J Km, D Pa, LMI-based desgn of stabzng fuzzy contoes fo nonnea systems descbed by aag-sugeno fuzzy mode, uzzy Sets and Systems, vo, pp 7-8, 00 [9] Z H Xu, G Ren, Stabty anayss and systematc desgn of aag-sugeno fuzzy conto systems, uzzy Sets and Systems, vo 5, no, pp 9-8, 005 [0] S Pettesson, B Lennatson, Stabty anayss of nonnea and hybd systems usng dscontnuous Lyapunov functons, In: Woshop on Mutpe Mode Appoaches to Modeng and Conto, ondhem, Noway, 997, pp 9-0 g4 he system state esponses unde the nta condton of x 0=[, ] 78

New Condition of Stabilization of Uncertain Continuous Takagi-Sugeno Fuzzy System based on Fuzzy Lyapunov Function

New 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 information

Stable Model Predictive Control Based on TS Fuzzy Model with Application to Boiler-turbine Coordinated System

Stable 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 information

Research on Complex Networks Control Based on Fuzzy Integral Sliding Theory

Research on Complex Networks Control Based on Fuzzy Integral Sliding Theory Advanced Scence and Technoogy Letters Vo.83 (ISA 205), pp.60-65 http://dx.do.org/0.4257/ast.205.83.2 Research on Compex etworks Contro Based on Fuzzy Integra Sdng Theory Dongsheng Yang, Bngqng L, 2, He

More information

Set of square-integrable function 2 L : function space F

Set 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 information

Advanced Robust PDC Fuzzy Control of Nonlinear Systems

Advanced 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 information

FUZZY CONTROL VIA IMPERFECT PREMISE MATCHING APPROACH FOR DISCRETE TAKAGI-SUGENO FUZZY SYSTEMS WITH MULTIPLICATIVE NOISES

FUZZY 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 information

Fuzzy Controller Design for Markovian Jump Nonlinear Systems

Fuzzy Controller Design for Markovian Jump Nonlinear Systems 72 Intenatonal Jounal of Juxang Contol Dong Automaton and Guang-Hong and Systems Yang vol. 5 no. 6 pp. 72-77 Decembe 27 Fuzzy Contolle Desgn fo Maovan Jump Nonlnea Systems Juxang Dong and Guang-Hong Yang*

More information

Observer Design for Takagi-Sugeno Descriptor System with Lipschitz Constraints

Observer 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 information

Distinct 8-QAM+ Perfect Arrays Fanxin Zeng 1, a, Zhenyu Zhang 2,1, b, Linjie Qian 1, c

Distinct 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 information

State Feedback Controller Design via Takagi- Sugeno Fuzzy Model : LMI Approach

State 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 information

APPLICATIONS OF SEMIGENERALIZED -CLOSED SETS

APPLICATIONS 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 information

Relaxed LMI Based designs for Takagi Sugeno Fuzzy Regulators and Observers Poly-Quadratic Lyapunov Function approach

Relaxed LMI Based designs for Takagi Sugeno Fuzzy Regulators and Observers Poly-Quadratic Lyapunov Function approach Poceedngs of the 9 EEE ntenatonal Confeence on Systems, Man, and Cybenetcs San Antono, X, USA - Octobe 9 Relaxed LM Based desgns fo aag Sugeno uzzy Regulatos and Obsees Poly-Quadatc Lyapuno uncton appoach

More information

1.050 Engineering Mechanics I. Summary of variables/concepts. Lecture 27-37

1.050 Engineering Mechanics I. Summary of variables/concepts. Lecture 27-37 .5 Engneeng Mechancs I Summa of vaabes/concepts Lectue 7-37 Vaabe Defnton Notes & ments f secant f tangent f a b a f b f a Convet of a functon a b W v W F v R Etena wok N N δ δ N Fee eneg an pementa fee

More information

Multistage Median Ranked Set Sampling for Estimating the Population Median

Multistage 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 information

8 Baire Category Theorem and Uniform Boundedness

8 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 information

DESIGN OF THE H- CONTROLLER FOR VSI FED PMSM DRIVE

DESIGN OF THE H- CONTROLLER FOR VSI FED PMSM DRIVE IJRRAS 4 () August 1 Ramana & a. Desgn Of The H- Contoe Fo Vs Fed Pmsm De DESIGN OF THE H- CONTROLLER FOR VSI FED PMSM DRIVE Pa Ramana 1, K. Ace May & M. Suya Kaaath 3 1 GMR Insttute Of Techonoogy, Rajam,

More information

Mathematical Modeling and Nonlinear Dynamic Analysis of Flexible Manipulators using Finite Element Method

Mathematical Modeling and Nonlinear Dynamic Analysis of Flexible Manipulators using Finite Element Method Unvesa Jouna of Non-nea Mechancs (), 56-6 www.papescences.com Mathematca Modeng and Nonnea Dynamc Anayss of Fexbe Manpuatos usng Fnte Eement Method J. Jafa, M. Mzae, M. Zandbaf Depatment of Mechancs, Damavand

More information

Networked Cooperative Distributed Model Predictive Control Based on State Observer

Networked Cooperative Distributed Model Predictive Control Based on State Observer Apped Mathematcs, 6, 7, 48-64 ubshed Onne June 6 n ScRes. http://www.scrp.org/journa/am http://dx.do.org/.436/am.6.73 Networed Cooperatve Dstrbuted Mode redctve Contro Based on State Observer Ba Su, Yanan

More information

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

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

More information

Groupoid and Topological Quotient Group

Groupoid 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 information

Merging to ordered sequences. Efficient (Parallel) Sorting. Merging (cont.)

Merging to ordered sequences. Efficient (Parallel) Sorting. Merging (cont.) Efficient (Paae) Soting One of the most fequent opeations pefomed by computes is oganising (soting) data The access to soted data is moe convenient/faste Thee is a constant need fo good soting agoithms

More information

Decoupled -Layer Optimal Stabilizer Design

Decoupled -Layer Optimal Stabilizer Design WSEAS RANSACIONS on INFORMAION SCIENCE and APPLICAIONS. Y. Hwan, C. H. Chan, C. C. Huan, Y. N. Len,. L. Huan, C.. Wan, J. S. Sheu Decouped -Laye Optma Stabze Desn.Y. HWANG C.H. CHANG # C.C. HUANG Y.N.

More information

Classical Electrodynamics

Classical Electrodynamics A Fst Look at Quantum Physcs Cassca Eectodynamcs Chapte 4 Mutpoes, Eectostatcs of Macoscopc Meda, Deectcs Cassca Eectodynamcs Pof. Y. F. Chen Contents A Fst Look at Quantum Physcs 4. Mutpoe Expanson 4.

More information

SOME NEW SELF-DUAL [96, 48, 16] CODES WITH AN AUTOMORPHISM OF ORDER 15. KEYWORDS: automorphisms, construction, self-dual codes

SOME NEW SELF-DUAL [96, 48, 16] CODES WITH AN AUTOMORPHISM OF ORDER 15. KEYWORDS: automorphisms, construction, self-dual codes Факултет по математика и информатика, том ХVІ С, 014 SOME NEW SELF-DUAL [96, 48, 16] CODES WITH AN AUTOMORPHISM OF ORDER 15 NIKOLAY I. YANKOV ABSTRACT: A new method fo constuctng bnay self-dual codes wth

More information

Chapter 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.

Chapter 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 information

The Forming Theory and the NC Machining for The Rotary Burs with the Spectral Edge Distribution

The 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 information

PARAMETER ESTIMATION FOR TWO WEIBULL POPULATIONS UNDER JOINT TYPE II CENSORED SCHEME

PARAMETER ESTIMATION FOR TWO WEIBULL POPULATIONS UNDER JOINT TYPE II CENSORED SCHEME Sept 04 Vol 5 No 04 Intenatonal Jounal of Engneeng Appled Scences 0-04 EAAS & ARF All ghts eseed wwweaas-ounalog ISSN305-869 PARAMETER ESTIMATION FOR TWO WEIBULL POPULATIONS UNDER JOINT TYPE II CENSORED

More information

Cooperative and Active Sensing in Mobile Sensor Networks for Scalar Field Mapping

Cooperative and Active Sensing in Mobile Sensor Networks for Scalar Field Mapping 3 IEEE Intenatonal Confeence on Automaton Scence and Engneeng (CASE) TuBT. Coopeatve and Actve Sensng n Moble Senso Netwos fo Scala Feld Mappng Hung Manh La, Wehua Sheng and Jmng Chen Abstact Scala feld

More information

Decentralized Adaptive Control for a Class of Large-Scale Nonlinear Systems with Unknown Interactions

Decentralized Adaptive Control for a Class of Large-Scale Nonlinear Systems with Unknown Interactions Decentrazed Adaptve Contro for a Cass of Large-Scae onnear Systems wth Unknown Interactons Bahram Karm 1, Fatemeh Jahangr, Mohammad B. Menhaj 3, Iman Saboor 4 1. Center of Advanced Computatona Integence,

More information

An Approach to Inverse Fuzzy Arithmetic

An 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 information

Engineering Mechanics. Force resultants, Torques, Scalar Products, Equivalent Force systems

Engineering 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 information

Machine Learning. Spectral Clustering. Lecture 23, April 14, Reading: Eric Xing 1

Machine 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 information

VEV of Q-operator in U(1) linear quiver 4d gauge theories

VEV of Q-operator in U(1) linear quiver 4d gauge theories Amenan Jouna of Physcs, 208, vo., ssue, pp. 34-38 VEV of Q-opeato n U() nea quve 4d gauge theoes Gabe Poghosyan A.I. Akhanyan Natona Scence Laboatoy, 2. Akhanan B. Steet, 0036 eevan, Amena E-ma: gabepoghos@gma.com

More information

Vibration Input Identification using Dynamic Strain Measurement

Vibration 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 information

Chapter Fifiteen. Surfaces Revisited

Chapter 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 information

Generating Functions, Weighted and Non-Weighted Sums for Powers of Second-Order Recurrence Sequences

Generating 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 information

Integral Vector Operations and Related Theorems Applications in Mechanics and E&M

Integral 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 information

Experimental study on parameter choices in norm-r support vector regression machines with noisy input

Experimental 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 information

UNIT10 PLANE OF REGRESSION

UNIT10 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 information

Rigid Bodies: Equivalent Systems of Forces

Rigid 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 information

Optimal Guaranteed Cost Control of Linear Uncertain Systems with Input Constraints

Optimal Guaranteed Cost Control of Linear Uncertain Systems with Input Constraints Internatona Journa Optma of Contro, Guaranteed Automaton, Cost Contro and Systems, of Lnear vo Uncertan 3, no Systems 3, pp 397-4, wth Input September Constrants 5 397 Optma Guaranteed Cost Contro of Lnear

More information

Some Approximate Analytical Steady-State Solutions for Cylindrical Fin

Some 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 information

Energy in Closed Systems

Energy 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 information

Thermodynamics of solids 4. Statistical thermodynamics and the 3 rd law. Kwangheon Park Kyung Hee University Department of Nuclear Engineering

Thermodynamics 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 information

CSJM University Class: B.Sc.-II Sub:Physics Paper-II Title: Electromagnetics Unit-1: Electrostatics Lecture: 1 to 4

CSJM 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 information

Adaptive Fuzzy Dynamic Surface Control for a Class of Perturbed Nonlinear Time-varying Delay Systems with Unknown Dead-zone

Adaptive 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 information

Matrix Elements of Many-Electron Wavefunctions. noninteger principal quantum number. solutions to Schröd. Eq. outside sphere of radius r

Matrix Elements of Many-Electron Wavefunctions. noninteger principal quantum number. solutions to Schröd. Eq. outside sphere of radius r 30 - Matx Eements of Many-Eecton Wavefunctons Last tme: ν = R En, f ( ν, ) g ( ν, ) need both f and g to satsfy bounday condton fo E < 0 as ν = n µ πµ s phase shft of f ( ν, ) nonntege pncpa quantum numbe

More information

GENERALIZATION OF AN IDENTITY INVOLVING THE GENERALIZED FIBONACCI NUMBERS AND ITS APPLICATIONS

GENERALIZATION 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 information

Scalars and Vectors Scalar

Scalars 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 information

Learning Control Law of Mode Switching for Hypersonic Morphing Aircraft Based on Type-2 TSK Fuzzy Neural Network

Learning Control Law of Mode Switching for Hypersonic Morphing Aircraft Based on Type-2 TSK Fuzzy Neural Network Intenatona Jouna o achne Leanng and Computng, Vo, No 4, August Leanng Conto Law o ode Swtchng o Hypesonc ophng Acat Based on Type- TSK Fuzzy Neua Netwok Xn Jao and Ju Jang Abstact A nove eanng method o

More information

INTRODUCTION. consider the statements : I there exists x X. f x, such that. II there exists y Y. such that g y

INTRODUCTION. 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 information

If there are k binding constraints at x then re-label these constraints so that they are the first k constraints.

If 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 information

4 Recursive Linear Predictor

4 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 information

A Direct-Construction Based Fuzzy Support Vector Classifier

A Direct-Construction Based Fuzzy Support Vector Classifier Reseach Jouna of Apped Scences, Engneeng and Technoogy 4(4): 067-07, 0 ISSN: 040-7467 Maxwe Scentfc Oganzaton, 0 Submtted: Decembe 7, 0 Accepted: Januay 6, 0 Pubshed: Juy 5, 0 A Dect-Constucton Based Fuzzy

More information

Physics 11b Lecture #2. Electric Field Electric Flux Gauss s Law

Physics 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 information

Unknown Input Based Observer Synthesis for a Polynomial T-S Fuzzy Model System with Uncertainties

Unknown 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 information

19 The Born-Oppenheimer Approximation

19 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 information

Physics 2A Chapter 11 - Universal Gravitation Fall 2017

Physics 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

STATE VARIANCE CONSTRAINED FUZZY CONTROL VIA OBSERVER-BASED FUZZY CONTROLLERS

STATE VARIANCE CONSTRAINED FUZZY CONTROL VIA OBSERVER-BASED FUZZY CONTROLLERS Jounal of Maine Science and echnology, Vol. 4, No., pp. 49-57 (6) 49 SAE VARIANCE CONSRAINED FUZZY CONROL VIA OBSERVER-BASED FUZZY CONROLLERS Wen-Je Chang*, Yi-Lin Yeh**, and Yu-eh Meng*** Key wods: takagi-sugeno

More information

ON THE FRESNEL SINE INTEGRAL AND THE CONVOLUTION

ON 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 information

Chapter 23: Electric Potential

Chapter 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 information

A. Thicknesses and Densities

A. 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 information

MARKOV CHAIN AND HIDDEN MARKOV MODEL

MARKOV CHAIN AND HIDDEN MARKOV MODEL MARKOV CHAIN AND HIDDEN MARKOV MODEL JIAN ZHANG JIANZHAN@STAT.PURDUE.EDU Markov chan and hdden Markov mode are probaby the smpest modes whch can be used to mode sequenta data,.e. data sampes whch are not

More information

A. Proofs for learning guarantees

A. Proofs for learning guarantees Leanng Theoy and Algoths fo Revenue Optzaton n Second-Pce Auctons wth Reseve A. Poofs fo leanng guaantees A.. Revenue foula The sple expesson of the expected evenue (2) can be obtaned as follows: E b Revenue(,

More information

Correspondence Analysis & Related Methods

Correspondence 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 information

P 365. r r r )...(1 365

P 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 information

(8) Gain Stage and Simple Output Stage

(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 information

4 SingularValue Decomposition (SVD)

4 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 information

Bayesian Assessment of Availabilities and Unavailabilities of Multistate Monotone Systems

Bayesian 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 information

Dynamic Systems on Graphs

Dynamic Systems on Graphs Prepared by F.L. Lews Updated: Saturday, February 06, 200 Dynamc Systems on Graphs Control Graphs and Consensus A network s a set of nodes that collaborates to acheve what each cannot acheve alone. A network,

More information

COMPLEMENTARY ENERGY METHOD FOR CURVED COMPOSITE BEAMS

COMPLEMENTARY 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 information

VParC: A Compression Scheme for Numeric Data in Column-Oriented Databases

VParC: A Compression Scheme for Numeric Data in Column-Oriented Databases The Intenatonal Aab Jounal of Infomaton Technology VPaC: A Compesson Scheme fo Numec Data n Column-Oented Databases Ke Yan, Hong Zhu, and Kevn Lü School of Compute Scence and Technology, Huazhong Unvesty

More information

Gradient-based Neural Network for Online Solution of Lyapunov Matrix Equation with Li Activation Function

Gradient-based Neural Network for Online Solution of Lyapunov Matrix Equation with Li Activation Function Intenational Confeence on Infomation echnology and Management Innovation (ICIMI 05) Gadient-based Neual Netwok fo Online Solution of Lyapunov Matix Equation with Li Activation unction Shiheng Wang, Shidong

More information

VISUALIZATION OF THE ABSTRACT THEORIES IN DSP COURSE BASED ON CDIO CONCEPT

VISUALIZATION 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 information

Part V: Velocity and Acceleration Analysis of Mechanisms

Part 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 information

A NOTE ON ELASTICITY ESTIMATION OF CENSORED DEMAND

A 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 information

Efficiency of the principal component Liu-type estimator in logistic

Efficiency 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 information

An improved algorithm for online identification of evolving TS fuzzy models

An improved algorithm for online identification of evolving TS fuzzy models Poceedngs of the 8th WSEAS Intenatonal Confeence on Fuzzy Systems, Vancouve, Btsh Columba, Canada, June 9-, 7 3 An mpoved algothm fo onlne dentfcaton of evolvng S fuzzy models (Invted Pape) ESMAEEL BANYSAEED,

More information

Test 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 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 information

Online Appendix to Position Auctions with Budget-Constraints: Implications for Advertisers and Publishers

Online 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 information

STATE OBSERVATION FOR NONLINEAR SWITCHED SYSTEMS USING NONHOMOGENEOUS HIGH-ORDER SLIDING MODE OBSERVERS

STATE 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 information

Improved delay-dependent stability criteria for discrete-time stochastic neural networks with time-varying delays

Improved delay-dependent stability criteria for discrete-time stochastic neural networks with time-varying delays Avalable onlne at www.scencedrect.com Proceda Engneerng 5 ( 4456 446 Improved delay-dependent stablty crtera for dscrete-tme stochastc neural networs wth tme-varyng delays Meng-zhuo Luo a Shou-mng Zhong

More information

Machine Learning 4771

Machine 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 information

Predicting Model of Traffic Volume Based on Grey-Markov

Predicting Model of Traffic Volume Based on Grey-Markov Vo. No. Modern Apped Scence Predctng Mode of Traffc Voume Based on Grey-Marov Ynpeng Zhang Zhengzhou Muncpa Engneerng Desgn & Research Insttute Zhengzhou 5005 Chna Abstract Grey-marov forecastng mode of

More information

Homework 1 Solutions CSE 101 Summer 2017

Homework 1 Solutions CSE 101 Summer 2017 Homewok 1 Soutions CSE 101 Summe 2017 1 Waming Up 1.1 Pobem and Pobem Instance Find the smaest numbe in an aay of n integes a 1, a 2,..., a n. What is the input? What is the output? Is this a pobem o a

More information

6. Introduction to Transistor Amplifiers: Concepts and Small-Signal Model

6. 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

MULTIPOLE FIELDS. Multipoles, 2 l poles. Monopoles, dipoles, quadrupoles, octupoles... Electric Dipole R 1 R 2. P(r,θ,φ) e r

MULTIPOLE FIELDS. Multipoles, 2 l poles. Monopoles, dipoles, quadrupoles, octupoles... Electric Dipole R 1 R 2. P(r,θ,φ) e r MULTIPOLE FIELDS Mutpoes poes. Monopoes dpoes quadupoes octupoes... 4 8 6 Eectc Dpoe +q O θ e R R P(θφ) -q e The potenta at the fed pont P(θφ) s ( θϕ )= q R R Bo E. Seneus : Now R = ( e) = + cosθ R = (

More information

Remember: When an object falls due to gravity its potential energy decreases.

Remember: 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 information

Excellent web site with information on various methods and numerical codes for scattering by nonspherical particles:

Excellent web site with information on various methods and numerical codes for scattering by nonspherical particles: Lectue 5. Lght catteng and abopton by atmophec patcuate. at 3: Scatteng and abopton by nonpheca patce: Ray-tacng, T- Matx, and FDTD method. Objectve:. Type of nonpheca patce n the atmophee.. Ray-tacng

More information

STATE OBSERVATION FOR NONLINEAR SWITCHED SYSTEMS USING NONHOMOGENEOUS HIGH-ORDER SLIDING MODE OBSERVERS

STATE 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 information

Representation of Saturation in Stability Studies

Representation of Saturation in Stability Studies Inteestng summay: https://www.nap.eu/ea/8477/chapte/3 Repesentaton of atuaton n tabty tues Kunu wtes (pg ) that A goous teatment of synchonous machne pefomance ncung satuaton effects s a fute execse. Any

More information

A simple detailed example of the Density Matrix Renormalization Group procedure applied to Heisenberg model

A simple detailed example of the Density Matrix Renormalization Group procedure applied to Heisenberg model A smpe detaed exampe of the Densty Matx Renomaaton Goup pocedue apped to Hesenbeg mode M Mebouk Laboatoe de Physque Théoque BP 30 3000 Temcen Agea E-ma: m_mebouk@yahoof (Receved 5 June 0 accepted 30 August

More information

Theorem on the differentiation of a composite function with a vector argument

Theorem on the differentiation of a composite function with a vector argument Poceedings of the Estonian Academy of Sciences 59 3 95 doi:.376/poc..3. Avaiae onine at www.eap.ee/poceedings Theoem on the diffeentiation of a composite function with a vecto agument Vadim Kapain and

More information

24-2: Electric Potential Energy. 24-1: What is physics

24-2: 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 information

Control of Dynamic HIV/AIDS Infection System with Robust H Fuzzy Output Feedback Controller

Control of Dynamic HIV/AIDS Infection System with Robust H Fuzzy Output Feedback Controller Intenatonal Jounal of odelng and Optmzaton Vol. 3 No. 3 June 3 Contol of Dynamc IV/AIDS Infecton System wth Robust Fuzzy Output Feedback Contolle Wudhcha Assawnchachote Abstact hs pape consdes the poblem

More information

Closed-loop adaptive optics using a CMOS image quality metric sensor

Closed-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 information

Exact Simplification of Support Vector Solutions

Exact 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 information

A NOVEL DWELLING TIME DESIGN METHOD FOR LOW PROBABILITY OF INTERCEPT IN A COMPLEX RADAR NETWORK

A 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 information

V. 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.

V. 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 information

ON AUTOMATIC CONTINUITY OF DERIVATIONS FOR BANACH ALGEBRAS WITH INVOLUTION

ON AUTOMATIC CONTINUITY OF DERIVATIONS FOR BANACH ALGEBRAS WITH INVOLUTION European Journa of Mathematcs and Computer Scence Vo. No. 1, 2017 ON AUTOMATC CONTNUTY OF DERVATONS FOR BANACH ALGEBRAS WTH NVOLUTON Mohamed BELAM & Youssef T DL MATC Laboratory Hassan Unversty MORO CCO

More information