New Stability Condition of T-S Fuzzy Systems and Design of Robust Flight Control Principle

Size: px
Start display at page:

Download "New Stability Condition of T-S Fuzzy Systems and Design of Robust Flight Control Principle"

Transcription

1 96 JOURNAL O ELECRONIC SCIENCE AND ECHNOLOGY, VOL., NO., MARCH 3 New Sably Conon of -S uzzy Sysems an Desgn of Robus lgh Conol Pncple Chun-Nng Yang, Ya-Zhou Yue, an Hu L Absac Unlke he pevous eseach woks analyzng he sably of he -S (akag Sugeno) fuzzy moel, an exenson on he sably conon of -S fuzzy sysems wh a ffeen saegy s pove. In he saegy a new vaable, whch s elave o he gae of fuzzy membeshp funcon, s nouce o he sably analyss an a new sably concluson s euce. he efnon of sably conon n hs pape s ffeen fom pevous woks, hough hey ae smla n fom. Wh he popose meho, he smulaon n flgh conol law shows a bee effecveness. Inex ems lgh conol, lnea max nequales, sably, akgag-sugeno (-S) fuzzy conol.. Inoucon Compang wh aonal conol mehos n nonlnea sysems, he fuzzy conolle has shown bee pefomance ha coul moel unceany o nonlnea chaacesc []. Bu s ffcul o escbe he sably of hs nonlnea fuzzy conol sysem. akag an Sugeno pesene an analycal moel of fuzzy sysem n 985, calle -S fuzzy moel []. hey analyze he sably conon an esgne he fuzzy conolle usng he Lyapunov ec meho. hs -S moel becomes he mosly aope meho n sably analyss of fuzzy conol sysem. he focus of sably analyss abou -S fuzzy sysem s how o elax he sably conons an how o Manuscp eceve May, ; evse June,. hs wok was suppoe by he Avaon Scence ounaon une Gan No. 776, Zheang Povncal Naual Scence ounaon une Gans No. Y696 an No. R95, he unamenal Reseach uns fo he Cenal Unveses une Gan No. QNA4, an Naonal Naual Scence ounaon of Chna une Gan No. 673 an No C.-N. Yang s wh he School of Aeonaucs an Asonaucs, Zheang Unvesy, Hangzhou, 37, Chna (Coesponng auho e-mal: chnyang@zu.eu.cn). H. L s wh he School of Aeonaucs an Asonaucs, Zheang Unvesy, Hangzhou, 37, Chna (e-mal: zzlhu@zu.eu.cn). Y.-Z. Yue s wh he Naonal Key Laboaoy of Scence an echnology on Acaf Conol, X An lgh Auomac Conol Reseach Insue, X an 765, Chna (e-mal: gnss68@63.com). Dgal Obec Ienfe:.3969/.ssn X.3..7 fn a bee conolle n an enlage soluon ange fo he close-loop sysem. anaka pove a suffcen conon of fuzzy sysem by seekng a common posve efne max P, an he sysem was asympocally sable f hee exse such max [3]. anaka also popose seveal new elaxe sably conons an conolle esgn poceues n [3] [6]. Cao foun was ffcul o ge a common posve efne max an e o fn a se of posve efne max p (=,,,) nsea of seekng he sngle common posve efne max P [7]. Yang e al. eve he elaxe sably of he fuzzy conol sysem wh uncean gaes of membeshp whch epesene he paamee unceanes of he fuzzy sysems [8]. Xe e al. scusse he elaxe sably conons of connuous -S fuzzy sysems va non-quaac Lyapunov funcon echnque [9],[]. hey solve he poblems (equal o confgue he egenvalues of he close-loop sysem) by he sably conon menone befoe, whch ae all he sngly feasble soluon. Howeve, somemes s no suffcen o all he subsysems, so Chal e al. sue he sably fahe bu he concluson s sll no pefec fo all subsysems []. hs pape sues moe eeply on he sably eseach woks of [], [], an []; a ffeen sably conon s pove hough Lyapunov sably heoy, an a smulaon esul of flgh conol sysem s gven compang wh he basc sably conons n []. he pape s oganze as follows. Secon oulnes he -S fuzzy sysem moel an he basc sably conon by a ffeen analyss meho an poves a new sably conon. Secon 3 manly pesens he smulaon effecveness of flgh conol law wh he popose meho. Conclusons ae gven n Secon 4.. -S uzzy Moel an he Dffeen Relaxe Sably Resuls. Descpon of uzzy Moel he onay -S connuous fuzzy sysem s escbe as If z () s M, z () s M,, an z g () s M g, hen x() = Ax() Bu () y() = C x () u() = x (), =,,, ()

2 YANG e al.: New Sably Conon of -S uzzy Sysems an Desgn of Robus lgh Conol Pncple 97 whee M, (=,,, g) s he fuzzy ses, x() s he sae veco, u() s he npu veco, an y() s oupu veco, x() R n, y() R k, u() R m, A R n n, B R n m, C R k n, an R m n, s he numbe of I-HEN ules, n s he numbe of sae vaables, m s he numbe of npu vaables, k s he numbe of oupu vaables, an z (), z (),, z g () ae he pemse vaables. Gven a pa of (x(), u()), f we esgn fuzzy local sae feeback conolle base on each fuzzy sub-sysem (such as paallel sbue compensaon [6] ) an use fuzzy easonng meho an fuzzfcaon pocess, he fnally oupu of he fuzzy sysem () s gven by x() = = ω ( z( )){ A x( ) B u( )} = ω ( z( )) = h( z( ))( Ax( ) Bu ( )) = = = = h( z( )) h( z( )){ A B} x ( ) ω ( z( )) C x( ) y z C x = () = = ( ()) h = ω ( z( )) () =. () Accong o he esgn meho of lnea sysem heoy, f (A, B ), =,,, s a pa of conollable maces, he fuzzy sysem s local conollable, hen we can assgn he egenvalues of (A, B ) a wll. he open-loop sysem (u()=) of () s: ω ( z( )) A x( ) x z A x = () = = ( ()) h = ω ( z( )) () =. (3) Evey funcon escbe by A x() s calle a sub-sysem, whee g ω ( z( )) = M ( z ( )),, = h( z( )) = ω ( z( )) = ω ( z( )) an z()=[z (), z (),, z g ()], M, (z ()) s he gae of he membeshp funcon of pemse vaable z () n se M,. Suppose o all, ω (z()), =,,,, hen h (z()), =,,,, an = ω (()) z >, = h ( z ( )) = o all.. Sably Conon of -S uzzy Sysem akak an Sugeno have analyze he sably va Lyapunov s ec meho, pove he sably conon of a fuzzy sysem, an gave a conolle esgn meho []. sly, he sysem moel s escbe by a -S fuzzy moel, hen a esgne conolle seeks a common symmec max P o sasfy he Lyapunov funcon; f hee exss such max P, he fuzzy sysem s asympocally sable. heoem []. If hee exss a common posve efne max P o all he fuzzy subsysems ha sasfes A P PA < =,,, (4) hen he fuzzy sysem (3) s asympocally sable n he lage o all he subsysems. o smplcy, we ewe A, = A B, by Lyapunov s ec meho, he suffcen conon of he local sae feeback ha ensues he asympocal sably of he close-loop fuzzy sysem s A P PA. (5),, < he manly elaxe sably esul of connuous fuzzy sysem was gven by anaka [7]. heoem [],[3]. Assume ha he numbe of ules ha fe fo all s less han o equal o s, whee s. he equlbum of he connuous fuzzy conol sysem () s asympocally sable n he lage f hee exss a common posve efne max P an a common posve semefne max Q such ha A, P PA, ( ) Q< (6) s A, A, A, A, P P Q, < (7) fo all an excepng he pas (, ). he sably conon of heoem eles on each subsysem A, B an, =,,,, bu he gaes of he membeshp funcon s no aken no accoun. In he wok below, we wll popose an exenson of [8], wh a ffeen saegy fom [7] an eve a ffeen sably esul. Due o whee h (z()). hen h ( z( )) h ( z( )) h ( z( )) = < = { h ( ( )) ( ( ))} h z z (8) < h ( z ( )) =, =,,, (9) = h ( z( )) h ( z( )) h ( z ( )) (a) = < when m, m s an nege vaable. hen h ( z( )) h ( z( )) h ( z ( )). (b) = m <

3 98 Assume ha he numbe of fuzzy ules ha fe fo all s,, when m, (b) s also equvalen. Because = = < h ( z( )) = h ( z( )) h( z( )) h ( z ( )) =. () Subsue () o () an so Rewe (), we ge h( ( )) h( ( )) z z < h( z()) h( z ()). () < x() = h ( z()), x() =,, h( z()) h( z()) x() (3) < an hen oban he followng heoem. heoem 3. Assume ha he numbe of ules ha fe fo all s,, an s less han o equal o m whee <m. If hee exss he common max P> an Q such ha A, P PA, ( ) Q< (4) m,,,, P P Q, < JOURNAL O ELECRONIC SCIENCE AND ECHNOLOGY, VOL., NO., MARCH 3 (5) he equlbum of he connuous fuzzy conol sysem (3) s asympocally sable n he lage. Poof. Selec he Lyapunov funcon as bellow: V( x()) = x () Px () we ge V( x()) = x () Px() x () P x () = h( z( )) h( z( )) x ( ){( A B) P = = PA ( B)} x ( ) z x, P P, x = h( z()) h( z()) x () < = h ( ()) (){ } () A,,,, P P x(). om he conons an (8) (), we ge he followng esuls: V = h = ( ( )) ( ( )) ( ){ x } ( ) z x P P x,, h( z()) h( z()) x () Qx () < z x Qx = < < h ( ( )) ( )( s ) ( ) h ( z()) h ( z()) x () Qx () = ( m ){ h( z( )) h( z( ))} x ( ) Qx( ) < h( z()) h( z()) x () Qx () < ( m )(/ ) x ( ) Qx ( ). Noe ha: n fac, he obane sably conon has a ffeen efnon fom heoem 5 n [7], hough s smla n fom. Because he solvng poceues base on lnea max nequales always ge a sngle feasble soluon, he popose esgn meho coul gve many soluon hough unng he value of m (we can efne m a posve numbe nee, as shown n he followng example). So s helpful o selec a favoable esul an avo he non-ancpan egenvalues of close-loop fuzzy sysem. 3. Robus uzzy Conolle Desgn n lgh Conol Sysem A flgh conol sysem s a ypcal nonlnea, unceany paamee moele an me vayng sysem. I s no easy o keep sable an obus when esgnng conolle n flgh. We selec he smple aplane as same as ha n [9] an esgn he fuzzy conolle wh he popose meho. he known conons ae: he hegh of flgh h=3 km, an he mach numbe M a =.5,.8, an.9. he pupose s o esgn a feeback conolle ha coul sablze an aplane n he ange of M a [.4,.]. he esgn poceue of fuzzy conol law s shown as below. We efne hee fuzzy subses M =.5, M =.8, M 3 =.9, conseng he hegh of flgh h s a consan. g. shows he gae of he fuzzy membeshp funcon of he mach numbe. M =M M =M M 3 =M 3 3(.5) 5(.8) 9(.9) M g.. Gae of membeshp funcon abou mach numbe.

4 YANG e al.: New Sably Conon of -S uzzy Sysems an Desgn of Robus lgh Conol Pncple 99 uzzy ules accong o mach numbe ae aken as he pemse vaables. he h fuzzy ule : f M a s M, hen x() = Ax() Bu (), =,, 3 y() = Cx(), =,, 3 u() = x (), =,, 3. he global conolle s [ ] u = h ( M ) h ( M ) h ( M ) x ( ) (6) a a 3 a 3 whee u s he conol npu of unng angle of elevao. An a a a 4 a 5 a a A = a3 a3 a33 a5 a54 C = c6 c63 B = [ b b b ] 3 u=[δ e ]. he followng esuls show he soluon of heoem 3 (m=.5): P = Q = = [ ] = [ ] 3 = [ ]. g. o g. 4 show he smulaon esuls une he nal conon x=[ /57.3 ]. We can see ha he esuls fom heoem 3 ae bee n pefomance evaluaon, such as he sae value, ausmen me an oveshoo, an also a bee obusness o eec he paamee peubaon. A ffeen ampng consan coul be obane hough unng he value of hs vaable, so helps o acheve bee conol effecveness. α ( ) ωz( /s) θ ( ) α ω z me (s) g.. Response of angle of aack α, pch ae ω Z, an angle of pch θ. H (m) g. 3. Response of alue. V (Ma) θ me (s) me (s) g. 4. Response of velocy. 4. Conclusons hs pape uses a ffeen saegy o scuss he elaxe sably conon va Lyapunov s ec meho. he eve esul s ffeen fom he pevous papes, whch s flexble o gan a bee conol pefomance by ausng a vaable, an can be ulze o seach a bee conol ule n lage ange vae moels. he applcaon of he new saegy n he flgh conol sysem shows ha he obane sably conon s useful o esgn a sable conolle of a nonlnea sysem an he conolle also has goo obusness o eec he paamee peubaon of he plane.

5 Refeences [] L. A. Zaeh, uzzy ses, Infomaon an Conol, vol. 8, no. 8, pp , 965. []. akag an M. Sugeno, uzzy enfcaon of sysems an s applcaons o moelng an conol, IEEE ans. on Sysems, Man, an Cybenecs, vol. 5, no., pp. 6 3, Jan [3] K. anaka an M. Sugeno, Sably analyss an esgn of fuzzy conol sysems, uzzy Ses an Sysems, vol. 45, no., pp , 99. [4] K. anaka,. Ikea, an H. Wang, Desgn of fuzzy conol sysems base on elaxe LMI sably conons, n Poc. of he 3 IEEE Conf. on Decson an Conol, Kobe, 996, pp [5] K. anaka,. Ikea, an H. Wang, Robus sablzaon of a class of uncean nonlnea sysems va fuzzy conol: quaac sablzaon, H-nfny conol heoy, an lnea max nequales, IEEE ans. on uzzy Sysems, vol. 4, no., pp. 3, 996. [6] K. anaka,. Ikea, an H. Wang, uzzy egulaos an fuzzy obseves: elaxe sably conons an LMI-base esgns, IEEE ans. on uzzy Sysems, vol. 6, no., pp. 5 65, 998. [7] S. G. Cao, N. W. Rees, an G. eng, Quaac sably analyss an esgn of connuous me fuzzy conols sysems, In. Jounal of Sysems Scence, vol. 7, no., pp. 93 3, 996. [8] C. Yang an J. An, A Relaxe sably conon of fuzzy sysem base on lnea -S fuzzy moel, Jounal of Poecles, Rockes, Mssles an Guance, vol. 3, no. 3, pp. 3 6, 3. [9] Z. Xe, uzzy conolle esgn an sably analyss fo flgh conol sysems, lgh Dynamcs, vol. 8, no., pp. 3 33,. [] H. K. Lam an. H.. Leung, Sably analyss of fuzzy conol sysems subec o uncean gaes of membeshp, JOURNAL O ELECRONIC SCIENCE AND ECHNOLOGY, VOL., NO., MARCH 3 IEEE ans. on Sysems, Man, an Cybenecs PAR B: Cybenecs, vol. 35, no. 6, pp. 3 35, 5. [] M. Chal, D. Maqun, an J. Rago, Relaxe sably conons fo akag-sugeno fuzzy sysems, n Poc. of IEEE In. Conf. on Sysems, Man, an Cybenecs, Vanoeuve,, pp Chun-Nng Yang was bon n Shannx, Chna n 97. He eceve hs Ph.D. egee n navgaon guance an conol fom he Depamen of Elecc Engneeng an Auomacs, Nohwesen Polyechncal Unvesy n 5. He s cuenly wokng as an assocae eseach fellow wh Zheang Unvesy. Hs eseach neess nclue acaf ynamcs moelng, negae navgaon echnolog, flgh conol, ec. Ya-Zhou Yue was bon n Shannx, Chna n 97. He eceve hs Ph.D. egee n navgaon guance an conol fom Chnese Aeonaucal Esablshmen. Hs eseaches nclue navgaon an conol echnology, negae navgaon echnology, ec. Hu L was bon n Helongang, Chna n 977. He eceve hs Ph.D. egee n communcaon an nfomaon sysem fom he Depamen of Eleconcs an Infomaon Engneeng, Habn Insue of echnology n 6. He s cuenly wokng as an assocae pofesso wh Zheang Unvesy. Hs eseaches nclue space communcaon, weless newoks, oung algohms an cong, ec.

Delay-Dependent Control for Time-Delayed T-S Fuzzy Systems Using Descriptor Representation

Delay-Dependent Control for Time-Delayed T-S Fuzzy Systems Using Descriptor Representation 82 Inenaonal Jounal of Conol Auomaon and Sysems Vol 2 No 2 June 2004 Delay-Dependen Conol fo me-delayed -S Fuzzy Sysems Usng Descpo Repesenaon Eun ae Jeung Do Chang Oh and Hong Bae ak Absac: hs pape pesens

More information

Fuzzy Control of Inverted Robot Arm with Perturbed Time-Delay Affine Takagi-Sugeno Fuzzy Model

Fuzzy Control of Inverted Robot Arm with Perturbed Time-Delay Affine Takagi-Sugeno Fuzzy Model 7 IEEE Inenaonal Confeence on Robocs an Auomaon Roma Ialy -4 Al 7 FD5. Fuzzy Conol of Invee Robo Am wh Peube me-delay Affne akag-sugeno Fuzzy Moel Wen-Je Chang We-Han Huang an We Chang Absac A sably analyss

More information

Handling Fuzzy Constraints in Flow Shop Problem

Handling Fuzzy Constraints in Flow Shop Problem Handlng Fuzzy Consans n Flow Shop Poblem Xueyan Song and Sanja Peovc School of Compue Scence & IT, Unvesy of Nongham, UK E-mal: {s sp}@cs.no.ac.uk Absac In hs pape, we pesen an appoach o deal wh fuzzy

More information

STABILITY CRITERIA FOR A CLASS OF NEUTRAL SYSTEMS VIA THE LMI APPROACH

STABILITY CRITERIA FOR A CLASS OF NEUTRAL SYSTEMS VIA THE LMI APPROACH Asan Jounal of Conol, Vol. 6, No., pp. 3-9, Mach 00 3 Bef Pape SABILIY CRIERIA FOR A CLASS OF NEURAL SYSEMS VIA HE LMI APPROACH Chang-Hua Len and Jen-De Chen ABSRAC In hs pape, he asypoc sably fo a class

More information

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr.

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr. Moden Enegy Funconal fo Nucle and Nuclea Mae By: lbeo noosa Teas &M Unvesy REU Cycloon 008 Meno: D. Shalom Shlomo Oulne. Inoducon.. The many-body poblem and he aee-fock mehod. 3. Skyme neacon. 4. aee-fock

More information

Optimal Control Strategies for Speed Control of Permanent-Magnet Synchronous Motor Drives

Optimal Control Strategies for Speed Control of Permanent-Magnet Synchronous Motor Drives Wol Acaemy of Scence, Engneeng an echnology 44 8 Opmal Conol Saeges fo Spee Conol of Pemanen-Magne Synchonos Moo Dves Roozbeh Molav, an Davoo A. Khab Absac he pemanen magne synchonos moo (PMSM) s vey sefl

More information

Delay-Range-Dependent Stability Analysis for Continuous Linear System with Interval Delay

Delay-Range-Dependent Stability Analysis for Continuous Linear System with Interval Delay Inernaonal Journal of Emergng Engneerng esearch an echnology Volume 3, Issue 8, Augus 05, PP 70-76 ISSN 349-4395 (Prn) & ISSN 349-4409 (Onlne) Delay-ange-Depenen Sably Analyss for Connuous Lnear Sysem

More information

Decentralized Control for Time-Delay Interconnected Systems Based on T-S Fuzzy Bilinear Model

Decentralized Control for Time-Delay Interconnected Systems Based on T-S Fuzzy Bilinear Model ensors & ransucers Vol. 75 Issue 7 July 24 pp. 32-37 ensors & ransucers 24 by IFA Publshng. L. hp://www.sensorsporal.com Decenralze Conrol for me-delay Inerconnece ysems Base on - Fuzzy Blnear Moel * Guo

More information

Real-coded Quantum Evolutionary Algorithm for Global Numerical Optimization with Continuous Variables

Real-coded Quantum Evolutionary Algorithm for Global Numerical Optimization with Continuous Variables Chnese Jounal of Eleconcs Vol.20, No.3, July 2011 Real-coded Quanum Evoluonay Algohm fo Global Numecal Opmzaon wh Connuous Vaables GAO Hu 1 and ZHANG Ru 2 (1.School of Taffc and Tanspoaon, Souhwes Jaoong

More information

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova The XIII Inenaonal Confeence Appled Sochasc Models and Daa Analyss (ASMDA-009) Jne 30-Jly 3, 009, Vlns, LITHUANIA ISBN 978-9955-8-463-5 L Sakalaskas, C Skadas and E K Zavadskas (Eds): ASMDA-009 Seleced

More information

Name of the Student:

Name of the Student: Engneeng Mahemacs 05 SUBJEC NAME : Pobably & Random Pocess SUBJEC CODE : MA645 MAERIAL NAME : Fomula Maeal MAERIAL CODE : JM08AM007 REGULAION : R03 UPDAED ON : Febuay 05 (Scan he above QR code fo he dec

More information

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( ) 5-1. We apply Newon s second law (specfcally, Eq. 5-). (a) We fnd he componen of he foce s ( ) ( ) F = ma = ma cos 0.0 = 1.00kg.00m/s cos 0.0 = 1.88N. (b) The y componen of he foce s ( ) ( ) F = ma = ma

More information

University of California, Davis Date: June xx, PRELIMINARY EXAMINATION FOR THE Ph.D. DEGREE ANSWER KEY

University of California, Davis Date: June xx, PRELIMINARY EXAMINATION FOR THE Ph.D. DEGREE ANSWER KEY Unvesy of Calfona, Davs Dae: June xx, 009 Depamen of Economcs Tme: 5 hous Mcoeconomcs Readng Tme: 0 mnues PRELIMIARY EXAMIATIO FOR THE Ph.D. DEGREE Pa I ASWER KEY Ia) Thee ae goods. Good s lesue, measued

More information

Journal of Engineering Science and Technology Review 7 (1) (2014) Research Article

Journal of Engineering Science and Technology Review 7 (1) (2014) Research Article Jes Jounal o Engneeng Scence and echnology Revew 7 5 5 Reseach Acle JOURNAL OF Engneeng Scence and echnology Revew www.jes.og Sudy on Pedcve Conol o ajecoy ackng o Roboc Manpulao Yang Zhao Dep. o Eleconc

More information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 10: LINEAR DISCRIMINATION HAPER : LINEAR DISRIMINAION Dscmnan-based lassfcaon 3 In classfcaon h K classes ( k ) We defned dsmnan funcon g () = K hen gven an es eample e chose (pedced) s class label as f g () as he mamum among g

More information

ROBUST EXPONENTIAL ATTRACTORS FOR MEMORY RELAXATION OF PATTERN FORMATION EQUATIONS

ROBUST EXPONENTIAL ATTRACTORS FOR MEMORY RELAXATION OF PATTERN FORMATION EQUATIONS IJRRAS 8 () Augus www.apapess.com/olumes/ol8issue/ijrras_8.pdf ROBUST EXONENTIAL ATTRACTORS FOR EORY RELAXATION OF ATTERN FORATION EQUATIONS WANG Yuwe, LIU Yongfeng & A Qaozhen* College of ahemacs and

More information

Comparative Study of Inventory Model for Duopolistic Market under Trade Credit Deepa H Kandpal *, Khimya S Tinani #

Comparative Study of Inventory Model for Duopolistic Market under Trade Credit Deepa H Kandpal *, Khimya S Tinani # Inenaonal Jounal of Saska an Mahemaka ISSN: 77-79 E-ISSN: 49-865 Volume 6 Issue pp -9 ompaave Suy of Invenoy Moel fo Duopolsc Make une ae e Deepa H Kanpal * Khmya S nan # Depamen of Sascs Faculy of Scence

More information

ScienceDirect. Behavior of Integral Curves of the Quasilinear Second Order Differential Equations. Alma Omerspahic *

ScienceDirect. Behavior of Integral Curves of the Quasilinear Second Order Differential Equations. Alma Omerspahic * Avalable onlne a wwwscencedeccom ScenceDec oceda Engneeng 69 4 85 86 4h DAAAM Inenaonal Smposum on Inellgen Manufacung and Auomaon Behavo of Inegal Cuves of he uaslnea Second Ode Dffeenal Equaons Alma

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

Continuous-time evolutionary stock and bond markets with time-dependent strategies

Continuous-time evolutionary stock and bond markets with time-dependent strategies Afcan Jounal of Busness Managemen Vol. 64 pp. 463-474 Febuay Avalable onlne a hp://www.acaemcjounals.og/ajbm DOI:.5897/AJBM.5 ISSN 993-833 Acaemc Jounals Full Lengh Reseach Pape Connuous-me evoluonay soc

More information

Rotations.

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

More information

Adaptive complex modified hybrid function projective synchronization of different dimensional complex chaos with uncertain complex parameters

Adaptive complex modified hybrid function projective synchronization of different dimensional complex chaos with uncertain complex parameters Nonlnea Dyn (26) 83:9 2 DOI.7/s7--239-8 ORIGINAL PAPER Adapve complex modfed hybd funcon pojecve synchonzaon of dffeen dmensonal complex chaos wh uncean complex paamees Jan Lu Shuang Lu Julen Clnon Spo

More information

The Application of Fuzzy Comprehensive Evaluations in The College Education Informationization Level

The Application of Fuzzy Comprehensive Evaluations in The College Education Informationization Level IOSR Jounal of Reseach & Mehod n Educaon IOSR-JRME) e- ISSN: 3 7388,p-ISSN: 3 737X Volume 8, Issue 3 Ve IV May June 8), PP -7 wwwosjounalsog The Applcaon of Fuzzy Compehensve Evaluaons n The College Educaon

More information

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION Inenaional Jounal of Science, Technology & Managemen Volume No 04, Special Issue No. 0, Mach 205 ISSN (online): 2394-537 STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE

More information

ajanuary't I11 F or,'.

ajanuary't I11 F or,'. ',f,". ; q - c. ^. L.+T,..LJ.\ ; - ~,.,.,.,,,E k }."...,'s Y l.+ : '. " = /.. :4.,Y., _.,,. "-.. - '// ' 7< s k," ;< - " fn 07 265.-.-,... - ma/ \/ e 3 p~~f v-acecu ean d a e.eng nee ng sn ~yoo y namcs

More information

I-Hsuan Hong Hsi-Mei Hsu Yi-Mu Wu Chun-Shao Yeh

I-Hsuan Hong Hsi-Mei Hsu Yi-Mu Wu Chun-Shao Yeh Poceedngs of he 8 Wne Smulaon Confeence S. J. ason, R. R. Hll, L. önch, O. Rose, T. Jeffeson, J. W. Fowle eds. PRICING DECISION AND LEAD TIE SETTING IN A DUOPOL SEICONDUCTOR INDUSTR I-Hsuan Hong Hs-e Hsu

More information

s = rθ Chapter 10: Rotation 10.1: What is physics?

s = rθ Chapter 10: Rotation 10.1: What is physics? Chape : oaon Angula poson, velocy, acceleaon Consan angula acceleaon Angula and lnea quanes oaonal knec enegy oaonal nea Toque Newon s nd law o oaon Wok and oaonal knec enegy.: Wha s physcs? In pevous

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

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal

More information

Nanoparticles. Educts. Nucleus formation. Nucleus. Growth. Primary particle. Agglomeration Deagglomeration. Agglomerate

Nanoparticles. Educts. Nucleus formation. Nucleus. Growth. Primary particle. Agglomeration Deagglomeration. Agglomerate ucs Nucleus Nucleus omaon cal supesauaon Mng o eucs, empeaue, ec. Pmay pacle Gowh Inegaon o uson-lme pacle gowh Nanopacles Agglomeaon eagglomeaon Agglomeae Sablsaon o he nanopacles agans agglomeaon! anspo

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class

More information

Decentralised Sliding Mode Load Frequency Control for an Interconnected Power System with Uncertainties and Nonlinearities

Decentralised Sliding Mode Load Frequency Control for an Interconnected Power System with Uncertainties and Nonlinearities Inernaonal Research Journal of Engneerng and echnology IRJE e-iss: 2395-0056 Volume: 03 Issue: 12 Dec -2016 www.re.ne p-iss: 2395-0072 Decenralsed Sldng Mode Load Frequency Conrol for an Inerconneced Power

More information

The Unique Solution of Stochastic Differential Equations. Dietrich Ryter. Midartweg 3 CH-4500 Solothurn Switzerland

The Unique Solution of Stochastic Differential Equations. Dietrich Ryter. Midartweg 3 CH-4500 Solothurn Switzerland The Unque Soluon of Sochasc Dffeenal Equaons Dech Rye RyeDM@gawne.ch Mdaweg 3 CH-4500 Solohun Swzeland Phone +4132 621 13 07 Tme evesal n sysems whou an exenal df sngles ou he an-iô negal. Key wods: Sochasc

More information

Chapter 3: Vectors and Two-Dimensional Motion

Chapter 3: Vectors and Two-Dimensional Motion Chape 3: Vecos and Two-Dmensonal Moon Vecos: magnude and decon Negae o a eco: eese s decon Mulplng o ddng a eco b a scala Vecos n he same decon (eaed lke numbes) Geneal Veco Addon: Tangle mehod o addon

More information

A hybrid method to find cumulative distribution function of completion time of GERT networks

A hybrid method to find cumulative distribution function of completion time of GERT networks Jounal of Indusal Engneeng Inenaonal Sepembe 2005, Vol., No., - 9 Islamc Azad Uvesy, Tehan Souh Banch A hybd mehod o fnd cumulave dsbuon funcon of compleon me of GERT newos S. S. Hashemn * Depamen of Indusal

More information

1 Constant Real Rate C 1

1 Constant Real Rate C 1 Consan Real Rae. Real Rae of Inees Suppose you ae equally happy wh uns of he consumpon good oday o 5 uns of he consumpon good n peod s me. C 5 Tha means you ll be pepaed o gve up uns oday n eun fo 5 uns

More information

An axisymmetric incompressible lattice BGK model for simulation of the pulsatile ow in a circular pipe

An axisymmetric incompressible lattice BGK model for simulation of the pulsatile ow in a circular pipe INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS In. J. Nume. Meh. Fluds 005; 49:99 116 Publshed onlne 3 June 005 n Wley IneScence www.nescence.wley.com). DOI: 10.100/d.997 An axsymmec ncompessble

More information

Delay Dependent Robust Stability of T-S Fuzzy. Systems with Additive Time Varying Delays

Delay Dependent Robust Stability of T-S Fuzzy. Systems with Additive Time Varying Delays Appled Maemacal Scences, Vol. 6,, no., - Delay Dependen Robus Sably of -S Fuzzy Sysems w Addve me Varyng Delays Idrss Sad LESSI. Deparmen of Pyscs, Faculy of Scences B.P. 796 Fès-Alas Sad_drss9@yaoo.fr

More information

Relative controllability of nonlinear systems with delays in control

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

More information

Variability Aware Network Utility Maximization

Variability Aware Network Utility Maximization aably Awae Newok ly Maxmzaon nay Joseph and Gusavo de ecana Depamen of Eleccal and Compue Engneeng, he nvesy of exas a Ausn axv:378v3 [cssy] 3 Ap 0 Absac Newok ly Maxmzaon NM povdes he key concepual famewok

More information

MCTDH Approach to Strong Field Dynamics

MCTDH Approach to Strong Field Dynamics MCTDH ppoach o Song Feld Dynamcs Suen Sukasyan Thomas Babec and Msha Ivanov Unvesy o Oawa Canada Impeal College ondon UK KITP Sana Babaa. May 8 009 Movaon Song eld dynamcs Role o elecon coelaon Tunnel

More information

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005 Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc

More information

Design of Optimal PID, Fuzzy and New Fuzzy-PID Controller for CANSAT Carrier System Thrust Vector

Design of Optimal PID, Fuzzy and New Fuzzy-PID Controller for CANSAT Carrier System Thrust Vector In J Advanced esgn and Manufacung Technology, Vol 8/ No 2/ June - 2015 1 esgn of Opmal PI, Fuzzy and New Fuzzy-PI Conolle fo CANSAT Cae Sysem Thus Veco A Kosa * epamen of New Scences and Technologes, Unvesy

More information

Integer Programming Models for Decision Making of. Order Entry Stage in Make to Order Companies 1. INTRODUCTION

Integer Programming Models for Decision Making of. Order Entry Stage in Make to Order Companies 1. INTRODUCTION Inege Pogammng Models fo Decson Makng of Ode Eny Sage n Make o Ode Companes Mahendawah ER, Rully Soelaman and Rzal Safan Depamen of Infomaon Sysems Depamen of Infomacs Engneeng Insu eknolog Sepuluh Nopembe,

More information

Solution of Non-homogeneous bulk arrival Two-node Tandem Queuing Model using Intervention Poisson distribution

Solution of Non-homogeneous bulk arrival Two-node Tandem Queuing Model using Intervention Poisson distribution Volume-03 Issue-09 Sepembe-08 ISSN: 455-3085 (Onlne) RESEARCH REVIEW Inenaonal Jounal of Muldscplnay www.jounals.com [UGC Lsed Jounal] Soluon of Non-homogeneous bulk aval Two-node Tandem Queung Model usng

More information

2/20/2013. EE 101 Midterm 2 Review

2/20/2013. EE 101 Midterm 2 Review //3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance

More information

336 ERIDANI kfk Lp = sup jf(y) ; f () jj j p p whee he supemum is aken ove all open balls = (a ) inr n, jj is he Lebesgue measue of in R n, () =(), f

336 ERIDANI kfk Lp = sup jf(y) ; f () jj j p p whee he supemum is aken ove all open balls = (a ) inr n, jj is he Lebesgue measue of in R n, () =(), f TAMKANG JOURNAL OF MATHEMATIS Volume 33, Numbe 4, Wine 2002 ON THE OUNDEDNESS OF A GENERALIED FRATIONAL INTEGRAL ON GENERALIED MORREY SPAES ERIDANI Absac. In his pape we exend Nakai's esul on he boundedness

More information

Chapter Finite Difference Method for Ordinary Differential Equations

Chapter Finite Difference Method for Ordinary Differential Equations Chape 8.7 Fne Dffeence Mehod fo Odnay Dffeenal Eqaons Afe eadng hs chape, yo shold be able o. Undesand wha he fne dffeence mehod s and how o se o solve poblems. Wha s he fne dffeence mehod? The fne dffeence

More information

Fractional Order PID Design for Nonlinear Motion Control Based on Adept 550 Robot

Fractional Order PID Design for Nonlinear Motion Control Based on Adept 550 Robot ape 65 ENG 6 Faconal Oe I esgn fo Nonlnea oon Conol Base on Aep 55 obo Absac Yuquan Wan uue Unves awn@puue.eu Haan Zhang uue Unves hhzhang@puue.eu cha a Fench uue Unves fench@puue.eu ulln obo sses ae pcal

More information

Robust Control for Uncertain Takagi Sugeno Fuzzy Systems with Time-Varying Input Delay

Robust Control for Uncertain Takagi Sugeno Fuzzy Systems with Time-Varying Input Delay Robus Conrol for Unceran akag Sugeno Fuzzy Sysems wh me-varyng Inpu Delay Ho Jae Lee e-mal: mylch@conrol.yonse.ac.kr Jn Bae Park e-mal: jbpark@conrol.yonse.ac.kr Deparmen of Elecrcal and Elecronc Engneerng,

More information

Stability Analysis of Fuzzy Hopfield Neural Networks with Timevarying

Stability Analysis of Fuzzy Hopfield Neural Networks with Timevarying ISSN 746-7659 England UK Journal of Informaon and Compung Scence Vol. No. 8 pp.- Sably Analyss of Fuzzy Hopfeld Neural Neworks w mevaryng Delays Qfeng Xun Cagen Zou Scool of Informaon Engneerng Yanceng

More information

Simulation of Non-normal Autocorrelated Variables

Simulation of Non-normal Autocorrelated Variables Jounal of Moden Appled Sascal Mehods Volume 5 Issue Acle 5 --005 Smulaon of Non-nomal Auocoelaed Vaables HT Holgesson Jönöpng Inenaonal Busness School Sweden homasholgesson@bshse Follow hs and addonal

More information

Reflection and Refraction

Reflection and Refraction Chape 1 Reflecon and Refacon We ae now neesed n eplong wha happens when a plane wave avelng n one medum encounes an neface (bounday) wh anohe medum. Undesandng hs phenomenon allows us o undesand hngs lke:

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

Acta Electrotechnica et Informatica, Vol. 13, No. 2, 2013, 3 7, DOI: /aeei SLOVAK TEXT DOCUMENT CLUSTERING

Acta Electrotechnica et Informatica, Vol. 13, No. 2, 2013, 3 7, DOI: /aeei SLOVAK TEXT DOCUMENT CLUSTERING Aca Elecoechnca e Infoaca Vol. 3 o. 2 203 3 7 DOI: 0.2478/aee-203-0022 3 SLOVAK TEXT DOCUMET CLUSTERIG Danel ZLACKÝ Ján STAŠ Jozef JUHÁR Anon ČIŽMÁR Depaen of Eleconcs an Mulea Councaons Faculy of Eleccal

More information

Track Properities of Normal Chain

Track Properities of Normal Chain In. J. Conemp. Mah. Scences, Vol. 8, 213, no. 4, 163-171 HIKARI Ld, www.m-har.com rac Propes of Normal Chan L Chen School of Mahemacs and Sascs, Zhengzhou Normal Unversy Zhengzhou Cy, Hennan Provnce, 4544,

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae

More information

FIRMS IN THE TWO-PERIOD FRAMEWORK (CONTINUED)

FIRMS IN THE TWO-PERIOD FRAMEWORK (CONTINUED) FIRMS IN THE TWO-ERIO FRAMEWORK (CONTINUE) OCTOBER 26, 2 Model Sucue BASICS Tmelne of evens Sa of economc plannng hozon End of economc plannng hozon Noaon : capal used fo poducon n peod (decded upon n

More information

Fast Calibration for Robot Welding System with Laser Vision

Fast Calibration for Robot Welding System with Laser Vision Fas Calbaon fo Robo Weldng Ssem h Lase Vson Lu Su Mechancal & Eleccal Engneeng Nanchang Unves Nanchang, Chna Wang Guoong Mechancal Engneeng Souh Chna Unves of echnolog Guanghou, Chna Absac Camea calbaon

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

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4 CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped

More information

Optimized Braking Force Distribution during a Braking-in- Turn Maneuver for Articulated Vehicles

Optimized Braking Force Distribution during a Braking-in- Turn Maneuver for Articulated Vehicles 56 Opmzed Bakng Foce Dsbuon dung a Bakng-n- Tun Maneuve o Aculaed Vehcles E. Esmalzadeh, A. Goodaz and M. Behmad 3 Downloaded om www.us.ac. a 3:04 IRST on Fday Novembe 3d 08,* Faculy o Engneeng and Appled

More information

Comb Filters. Comb Filters

Comb Filters. Comb Filters The smple flers dscussed so far are characered eher by a sngle passband and/or a sngle sopband There are applcaons where flers wh mulple passbands and sopbands are requred Thecomb fler s an example of

More information

FI 3103 Quantum Physics

FI 3103 Quantum Physics /9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon

More information

Physics 201 Lecture 15

Physics 201 Lecture 15 Phscs 0 Lecue 5 l Goals Lecue 5 v Elo consevaon of oenu n D & D v Inouce oenu an Iulse Coens on oenu Consevaon l oe geneal han consevaon of echancal eneg l oenu Consevaon occus n sses wh no ne eenal foces

More information

to Assess Climate Change Mitigation International Energy Workshop, Paris, June 2013

to Assess Climate Change Mitigation International Energy Workshop, Paris, June 2013 Decomposng he Global TIAM-Maco Maco Model o Assess Clmae Change Mgaon Inenaonal Enegy Wokshop Pas June 2013 Socaes Kypeos (PSI) & An Lehla (VTT) 2 Pesenaon Oulne The global ETSAP-TIAM PE model and he Maco

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

An Adaptive Fuzzy Control Method for Spacecrafts Based on T-S Model

An Adaptive Fuzzy Control Method for Spacecrafts Based on T-S Model ELKOMNIKA, Vol., No., Noveber 20, pp. 6879~6888 e-issn: 2087-278X 6879 An Aapve Fuzzy Conrol Meho for Spacecrafs Base on -S Moel Wang Q*, Gao an 2, He He School of Elecronc Inforaon Engneerng, X an echnologcal

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

p E p E d ( ) , we have: [ ] [ ] [ ] Using the law of iterated expectations, we have:

p E p E d ( ) , we have: [ ] [ ] [ ] Using the law of iterated expectations, we have: Poblem Se #3 Soluons Couse 4.454 Maco IV TA: Todd Gomley, gomley@m.edu sbued: Novembe 23, 2004 Ths poblem se does no need o be uned n Queson #: Sock Pces, vdends and Bubbles Assume you ae n an economy

More information

ON 3-DIMENSIONAL CONTACT METRIC MANIFOLDS

ON 3-DIMENSIONAL CONTACT METRIC MANIFOLDS Mem. Fac. Inegaed As and Sci., Hioshima Univ., Se. IV, Vol. 8 9-33, Dec. 00 ON 3-DIMENSIONAL CONTACT METRIC MANIFOLDS YOSHIO AGAOKA *, BYUNG HAK KIM ** AND JIN HYUK CHOI ** *Depamen of Mahemaics, Faculy

More information

Cubic Bezier Homotopy Function for Solving Exponential Equations

Cubic Bezier Homotopy Function for Solving Exponential Equations Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.

More information

On Control Problem Described by Infinite System of First-Order Differential Equations

On Control Problem Described by Infinite System of First-Order Differential Equations Ausalian Jounal of Basic and Applied Sciences 5(): 736-74 ISS 99-878 On Conol Poblem Descibed by Infinie Sysem of Fis-Ode Diffeenial Equaions Gafujan Ibagimov and Abbas Badaaya J'afau Insiue fo Mahemaical

More information

) from i = 0, instead of i = 1, we have =

) from i = 0, instead of i = 1, we have = Chape 3: Adjusmen Coss n he abou Make I Movaonal Quesons and Execses: Execse 3 (p 6): Illusae he devaon of equaon (35) of he exbook Soluon: The neempoal magnal poduc of labou s epesened by (3) = = E λ

More information

Monetary policy and models

Monetary policy and models Moneay polcy and odels Kes Næss and Kes Haae Moka Noges Bank Moneay Polcy Unvesy of Copenhagen, 8 May 8 Consue pces and oney supply Annual pecenage gowh. -yea ovng aveage Gowh n oney supply Inflaon - 9

More information

Li An-Ping. Beijing , P.R.China

Li An-Ping. Beijing , P.R.China A New Type of Cpher: DICING_csb L An-Png Bejng 100085, P.R.Chna apl0001@sna.com Absrac: In hs paper, we wll propose a new ype of cpher named DICING_csb, whch s derved from our prevous sream cpher DICING.

More information

APPROXIMATIONS FOR AND CONVEXITY OF PROBABILISTICALLY CONSTRAINED PROBLEMS WITH RANDOM RIGHT-HAND SIDES

APPROXIMATIONS FOR AND CONVEXITY OF PROBABILISTICALLY CONSTRAINED PROBLEMS WITH RANDOM RIGHT-HAND SIDES R U C O R R E S E A R C H R E P O R APPROXIMAIONS FOR AND CONVEXIY OF PROBABILISICALLY CONSRAINED PROBLEMS WIH RANDOM RIGH-HAND SIDES M.A. Lejeune a A. PREKOPA b RRR 7-005, JUNE 005 RUCOR Ruges Cene fo

More information

Density Functional Theory I

Density Functional Theory I Densty Functonal Theoy I cholas M. Hason Depatment of Chemsty Impeal College Lonon & Computatonal Mateals Scence Daesbuy Laboatoy ncholas.hason@c.ac.uk Densty Functonal Theoy I The Many Electon Schönge

More information

An Improved Stabilization Method for Linear Time-Delay Systems

An Improved Stabilization Method for Linear Time-Delay Systems IEEE RASACIOS O AUOMAIC COROL, VOL. 47, O. 11, OVEMBER 191 An Improved Sablzaon Mehod for Lnear me-delay Sysems Emla Frdman and Ur Shaked Absrac In hs noe, we combne a new approach for lnear medelay sysems

More information

BISTATIC COHERENT MIMO CLUTTER RANK ANALYSIS

BISTATIC COHERENT MIMO CLUTTER RANK ANALYSIS 3 Euopean Sgnal Pocessng Confeence (EUSIPCO BISAIC COHEEN MIMO CLUE ANK ANALYSIS Ksne Bell, * Joel Johnson, Chsophe Bae, Gaeme Smh, an Mualha angaswam * Meon, Inc, 88 Lba S, Sue 600, eson, Vgna 090, USA

More information

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

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

More information

Multi-Objective Control and Clustering Synchronization in Chaotic Connected Complex Networks*

Multi-Objective Control and Clustering Synchronization in Chaotic Connected Complex Networks* Mul-Objecve Conrol and Cluserng Synchronzaon n Chaoc Conneced Complex eworks* JI-QIG FAG, Xn-Bao Lu :Deparmen of uclear Technology Applcaon Insue of Aomc Energy 043, Chna Fjq96@6.com : Deparmen of Auomaon,

More information

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading Onlne Supplemen for Dynamc Mul-Technology Producon-Invenory Problem wh Emssons Tradng by We Zhang Zhongsheng Hua Yu Xa and Baofeng Huo Proof of Lemma For any ( qr ) Θ s easy o verfy ha he lnear programmng

More information

Reinforcement learning

Reinforcement learning Lecue 3 Reinfocemen leaning Milos Hauskech milos@cs.pi.edu 539 Senno Squae Reinfocemen leaning We wan o lean he conol policy: : X A We see examples of x (bu oupus a ae no given) Insead of a we ge a feedback

More information

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy

More information

Low Probability Identification Performance in Radar Network System by using Fuzzy Chance-Constrained Programming

Low Probability Identification Performance in Radar Network System by using Fuzzy Chance-Constrained Programming Lo obably denfcaon efomance n Rada eok Sysem by usng Fuzzy Chance-Consaned ogammng 1 M..Saln M.Sc., M.hl., Ms.S..Subha M.E., 3 M. D.M.huchean, 1 Reseach Schola, Depamen of Mahemacs, L..Gov.College onne,

More information

A Novel Fast Otsu Digital Image Segmentation Method

A Novel Fast Otsu Digital Image Segmentation Method The Inenaonal Aab Jounal of Infomaon Technology, Vol. 3, No. 4, July 06 47 A Novel Fas Osu Dgal Image Segmenaon Mehod Duaa AlSaeed,, Ahmed oudane,, and Al El-Zaa 3 Depamen of Compue Scence and Dgal Technologes,

More information

Let s treat the problem of the response of a system to an applied external force. Again,

Let s treat the problem of the response of a system to an applied external force. Again, Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem

More information

SCIENCE CHINA Technological Sciences

SCIENCE CHINA Technological Sciences SIENE HINA Technologcal Scences Acle Apl 4 Vol.57 No.4: 84 8 do:.7/s43-3-5448- The andom walkng mehod fo he seady lnea convecondffuson equaon wh axsymmec dsc bounday HEN Ka, SONG MengXuan & ZHANG Xng *

More information

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon

More information

A Method of Reliability Target Setting for Electric Power Distribution Systems Using Data Envelopment Analysis

A Method of Reliability Target Setting for Electric Power Distribution Systems Using Data Envelopment Analysis 27 กก ก 9 2-3 2554 ก ก ก A Method of Relablty aget Settng fo Electc Powe Dstbuton Systems Usng Data Envelopment Analyss ก 2 ก ก ก ก ก 0900 2 ก ก ก ก ก 0900 E-mal: penjan262@hotmal.com Penjan Sng-o Psut

More information

Comparison of Differences between Power Means 1

Comparison of Differences between Power Means 1 In. Journal of Mah. Analyss, Vol. 7, 203, no., 5-55 Comparson of Dfferences beween Power Means Chang-An Tan, Guanghua Sh and Fe Zuo College of Mahemacs and Informaon Scence Henan Normal Unversy, 453007,

More information

A multi-band approach to arterial traffic signal optimization. Nathan H. Gartner Susan F. Assmann Fernando Lasaga Dennin L. Hou

A multi-band approach to arterial traffic signal optimization. Nathan H. Gartner Susan F. Assmann Fernando Lasaga Dennin L. Hou A mul-an appoach o aeal affc sgnal opmzaon Nahan H. Gane Susan F. Assmann Fenano Lasaga Dennn L. Hou MILP- The asc, symmec, unfom-h anh maxmzaon polem MILP- Exens he asc polem o nclue asymmec anhs n opposng

More information

COPYRIGHT NOTICE: For COURSE PACK PERMISSIONS, refer to entry on previous menu. For more information, send to

COPYRIGHT NOTICE: For COURSE PACK PERMISSIONS, refer to entry on previous menu. For more information, send  to COPYRT NOTCE: TRBBE: Pnceon ue o Avance Physcs s publshe by Pnceon Unvesy Pess an copyghe, (c) 996, by Pnceon Unvesy Pess. All ghs eseve. Ths ex may be use an shae n accoance wh he fa-use povsons of US

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

Fuzzy Reliable Tracking Control for Flexible Air-breathing Hypersonic Vehicles

Fuzzy Reliable Tracking Control for Flexible Air-breathing Hypersonic Vehicles Inernaonal Journal of Fuzzy Sysems, Vol. 3, No. 4, December 33 Fuzzy Relable rackng Conrol for Flexble Ar-breahng Hypersonc Vehcles Xaoxang Hu, Hujun Gao, Hamd Reza arm, Lgang Wu, and Changhua Hu Absrac

More information

Hierarchical Production Planning in Make to Order System Based on Work Load Control Method

Hierarchical Production Planning in Make to Order System Based on Work Load Control Method Unvesal Jounal of Indusal and Busness Managemen 3(): -20, 205 DOI: 0.389/ujbm.205.0300 hp://www.hpub.og Heachcal Poducon Plannng n Make o Ode Sysem Based on Wok Load Conol Mehod Ehsan Faah,*, Maha Khodadad

More information

Time-Space Model of Business Fluctuations

Time-Space Model of Business Fluctuations Time-Sace Moel of Business Flucuaions Aleei Kouglov*, Mahemaical Cene 9 Cown Hill Place, Suie 3, Eobicoke, Onaio M8Y 4C5, Canaa Email: Aleei.Kouglov@SiconVieo.com * This aicle eesens he esonal view of

More information

Hopf Bifurcation and Sliding Mode Control of Chaotic Vibrations in a Four-dimensional Hyperchaotic System

Hopf Bifurcation and Sliding Mode Control of Chaotic Vibrations in a Four-dimensional Hyperchaotic System Hopf Bfurcaon an Slng Moe Conrol of Chaoc Vbraons n a Four-mensonal Hyperchaoc Sysem Wen-ju Du, Jan-gang Zhang an Shuang Qn Absrac he basc ynamc properes of a four mensonal hyperchaoc sysem are nvesgae

More information