Robust Stability Analysis of Discrete Uncertain Singularly Perturbed Time-Delay Systems

Size: px
Start display at page:

Download "Robust Stability Analysis of Discrete Uncertain Singularly Perturbed Time-Delay Systems"

Transcription

1 Robut Stablty Aaly o Dcrete Ucerta Sgularly Perturbe Tme-Delay Sytem Shg-Ta Pa a Chg-Fa Che Departmet o Computer Scece a Iormato Egeerg, Shu-Te Uverty, Kaohug, Tawa 8, R.O.C. Departmet o Electroc Egeerg, Kao Yua Ittute o Techology, Kaohug, Tawa 8, R.O.C. Abtract I th paper, we vetgate the robut tablty problem o a cla o LTI crete ucerta gularly perturbe tme-elay ytem. I the gular perturbato parameter o thee ytem ucetly mall, they ca be eparate to two reuce-orer ubytem, the low ubytem a at ubytem. Two tablty crtera or the low a at ubytem o the ucerta ytem are the erve repectvely. The, the robut aymptotc tablty o the ull-orer ucerta ytem ubect to tructure perturbato ca be vetgate rom thoe o the ucerta low a at ubytem. Keywor: Sgularly Perturbe Sytem, Tme Delay, Robut Stablty, Structure Perturbato Notato S :et {,,, L, }, S :et {,, L, }, A :[ a, wth matrx A [ a, A B : a b or all,, wth A [ a a B [ b, ρ A :pectral rau o matrx A, A :pectral orm o matrx A, x :tate vector o low ubytem, x :tate vector o at ubytem.. Itroucto Multple tme-cale pheomea whch ext may phycal ytem, complcate the tablty aaly o the ytem. Fortuately, the gular perturbato metho prove u wth a powerul tool or the orer reucto a eparato o tme cale; ee, or example, Kokotovc et al. 986, Khall 989, Hao a Hwag 996, Su et al. 996, Sh et al. 998, a the reerece there. A mportat proceure o th metho that the multple tme-cale ytem are moele a gularly perturbe ytem. Typcal gularly perturbe ytem clue hgh-ga cotrol ytem, armature-cotrolle DC motor, tuel oe crcut, olear tme-varat RLC etwork, cotrol ytem o a arplae, etc Kokotovc et al A key to the aaly o multple tme-cale ytem le the cotructo o the reuce-orer ytem. The, the yamc o the ull-orer ytem ca be erre rom that o the reuce-orer ytem. O the other ha, the robut tablty o tme-elay ytem ha bee coere over the year becaue the tme elay commoly ecoutere may egeerg ytem. For example, the eeback ytem cotrolle by computer have tme elay ue to the executo o may umercal operato. Bee, chemcal procee, turboet ege, log tramo le, electrc etwork, hyraulc ytem, a peumatc ytem, ~ 7 ~

2 etc. all have tme elay. Ther extece requetly caue the tablty o the ytem. Moreover, mot o the yamc ytem cota ome ucertate that may are, or example, rom moelg error or learato approxmato Phooaruechaacha et al A thee ucertate are almot evtable or ay moelg o real ytem, the problem o matag the tablty o a ytem ubect to ucertate ha bee o coerato to reearcher over the year Wu a Mukam 99, Le et al Recetly, there are may relate reearch paper about aaly a cotrol eg o the two-tme-cale ytem. L a L 99 propoe a requecy-oma tablty crtero or crete two-tme-cale ytem whch the tme elay a ucerta perturbato have ot yet bee coere. Trh a Alee 995 propoe a crtero o aymptotc tablty or gularly perturbe ytem wth multple tme elay, but the elay term were treate a the perturbato o the omal ytem. Hao et al. vetgate the D-tablato problem o crete gularly perturbe ytem whch the actor o tme elay a ucertaty have ot bee o coerato. However, the actor o ucertate a tme elay o ext mot o the yamc ytem. Coequetly, t practcal to take them to coerato. It the purpoe o th paper to vetgate the robut tablty problem o ucerta crete tme-elay gularly perturbe ytem.. Problem Formulato Coer the ollowg ucerta crete tme-elay gularly perturbe ytem: x k [ A x A x k ε[ A x A x k a x k [ A x A x k ε[ A x A x k, b x R a x R. The mall potve parameter ε calle gular perturbato parameter, whch ote occur aturally ue to the preece o mall parameter varou phycal ytem. For tace, t may repreet the mache reactace or traet voltage regulator a power ytem moel, the tme cotat o the rver a the actuator a utral cotrol ytem, a t may be ue to at eutro a uclear reactor moel. The crete ytem reerre to a the C-moel Nau a Rao 985. Moreover, A, A,,,,,, are cotat matrce wth approprate meo, A, A,,,,, are the perturbato matrce wth the tructure perturbato A D, D whch D, D are cotat matrce wth potve elemet a are aume to be kow,, a potve teger. Beore the ma reult are erve, the omal ytem o the ucerta ytem rt trouce a ollow. x k A x A x k ε A x k A x k, a x k A x A x k ε A x k A x k. b Accorg to the tme-cale eparato metho Mahmou 98 a Sakea et al. 98, the low ubytem a at ubytem o ca be erve a ollow.. Slow Subytem o the Nomal Sytem I orer to obta the omal low ubytem, we replace x k h a k k, repectvely. [ [ [ [ x k by x x a The the omal crete gularly perturbe ytem ca be reuce to the ollowg low ubytem: x k [ A x A x k ε[ A x A x a ~ 7 ~

3 x [ A x A x k ε A x A x [. b From, we obta the low ubytem a x k Mx M x k, a M A ε A A I ε A A A M A A A I ε A A A. ε Let B A A, b S. 5 Takg the -traorm o the low ubytem, we have h I M M x [ I K x G x K,6a ε A A I ε A A B, B 6b G [ I K. 6c I the low ubytem aymptotcally table, the et[ G >,.. Fat Subytem o the Nomal Sytem Durg the at traet pero, the qua-teay tate x a x are aume to be cotat. Thu, we may approxmate x k h a x k by x a x, repectvely. Moreover, by vew o the omal ytem a the low ubytem, t ca be ee that x k approache x k a ε approache ero. Thereore, ε ucetly mall, t reaoable to approxmate x k by x k,.e., x x. Accorg to the above cuo, we are poto to erve the at ubytem o the omal ytem. Deote x a the at compoet o x. We have x x x a x k x k x k x k x. 7 Accorg to b a b, we obta the at ubytem rom 7 a x k ε [ A x A x k. 8 Takg the -traorm o the at ubytem 8, we get I ε [ A A x G x, 9a G [ I ε B. 9b I the at ubytem 8 aymptotcally table, the et[ G >,. I the ollowg ervato, we aume that the omal low ubytem a at ubytem 8 are both aymptotcally table.. The Slow a Fat Subytem o The Ucerta Sytem I th ecto, the tablty o the low a at ubytem o the ucerta ytem exame. Some ueul lemma or urther ervato are trouce a ollow. Deto : The multple tme-elay ytem x k Ψ x k aymptotcally table a oly et I Ψ >,, Ψ [ Ψ. Lemma Hao et al. : For ay m m matrx A R, ρ A <, the et I ± A >. Lemma Su a Shyr 99: The ero tate o the ytem x k M x k aymptotcally table a oly et I M >,, [ ~ 7 ~

4 M M Lemma Chou 99: For ay matrce A, B, a C, B < C, the a AB ρ A B ρ A C ρ.. m m b ρ A B ρ A B ρ A B ρ A C.. Slow Subytem o the Ucerta Sytem Pror to vetgate the tablty o the ucerta low ubytem, we trouce a lemma. Lemma : I ε D D η < hol, the we have I ε A A ε, ξ a ξ η [ I ε D D η b wth η I ε A A. c Proo: From c, we have I ε A A ε η [ ε η I. Sce ε η ε D D η <, we obta [ I ε η ε I η [ ε η [ ε L Hece we have I ε η [ η ε D D [ η I. Thu, the equalty a hol vew o a. Th complete the proo. Let B A A, S. 5 Smlarly to the ervato o 6a a accorg to, we get G x, 6a G { I [ B ε [ A A [ I ε A ε A B } 6b It obvou that the ucerta low ubytem 6 aymptotcally table the ollowg equalty hol: et[ G >,. 7 Theorem : I the omal low ubytem aymptotcally table,.e., et[ G >,, the the ucerta low ubytem 6 aymptotcally table the ollowg equalty hol: ρ[ Ξ β G β <, β. 8a Ξ β { ε A A D D. ξ.[ ε D D ε D D D D Proo: Sce I ε A }.[ η. B β η. D D β ε A A. η. D D [ ε A η I ε A A ε ε η β β. 8b accorg to 6c, 6b ca be rewrtte a G [ I K K [ G K, 9a K ε A A η { ε[ A A ε A ε [ I ε A A [ ε }. η.[ B, 9b ~ 75 ~

5 Coequetly, we have et G [ et [ I K G et G [. Sce et[ G >,, the examato o 7 equvalet to the vercato o the ollowg equalty: et I K G >,. [ Let β. The ca be rewrtte a et[ I K β G β >, β. Bae o 9b a Lemma, K β ate K β Ξ β, β. By Lemma, t yel ρ [ K β G β ρ Ξ β β [ G. The, accorg to Lemma, hol the equalty 8a ate. Hece, the ucerta low ubytem 6 aymptotcally table vew o 7 a Deto. Th complete the proo.. Fat Subytem o the Ucerta Sytem Smlarly to the ervato o 9 a accorg to, we have G x, a G [ I ε B. b Thereore, the ucerta at ubytem aymptotcally table, the ollowg equalty hol: et[ G >,. Theorem : I the omal at ubytem et[ G >, aymptotcally table,.e.,, the the ucerta at ubytem aymptotcally table the ollowg equalty hol: ρ{[ ε D D β. G β } <, β. 5 Proo: Makg ue o 9b a 5, G ate et G [ [ I ε G [ G et et. Sce et[ G >,, the ollowg equalty: et[ I ε G >,, et{ I ε β G β },.e. [ > β, 6 mple. Accorg to Lemma, t ca be ealy how that ρ ε β β G {[ } ρ {[ ε } D β G β D. By Lemma, 5 hol, the the equalty 6 ate a hece the ucerta at ubytem aymptotcally table vew o a Deto. Th complete the proo.. Stablty Crtera o The Orgal Sytem I th ecto, we wll cu the tablty o the orgal ucerta ytem. The ollowg theorem how that the tablty property o the orgal ytem ca be erre rom that o t reuce-orer moel,.e. the low a at ubytem. Theorem : Hao et al., 997 I the low a at ubytem 6 a, repectvely, are both aymptotcally table, the the orgal ytem alo aymptotcally table or ucetly mall ε. 5. Cocluo The robut aymptotcally tablty o ucerta crete gularly perturbe ytem wth tme elay ha bee coere th paper. The reuce-orer moel,.e. the low a at ubytem, o the ytem are rt erve. Uer the coto that the low a at ubytem o the omal ytem are both aymptotcally table, we have propoe a requecy-oma robut elay-epeet tablty crtero uch that the low a at ubytem o the orgal ucerta ytem ~ 76 ~

6 are aymptotcally table. I the ucerta low a at ubytem are both aymptotcally table, the the orgal ytem alo aymptotcally table or ucetly mall ε. Reerece Chou, J.H., 99, Pole-agmet robute a pecc k. Sytem & Cotrol Letter, 6,. Hao, F. H., a Hwag J. D., 996, Stablato o olear gularly perturbe multple tme-elay ytem by ther. ASME Joural o Dyamc Sytem, Meauremet, a Cotrol, 8, Hao, F. H., Pa, S. T., a Teg, C. C., 997, D-Stablty Bou Aaly or Dcrete Multparameter Sgularly Perturbe Sytem, IEEE Tra. o Crcut a Sytem I,, 7-5. Hao, F. H., Pa, S. T., a Hwag, J. D.,, D-tablato cotrol or crete-tme two-tme-cale ytem. IEEE Cotrol Sytem Magae,, Hao, F. H., Hwag, J. D., a Pa, S. T.,, Stablato o Dcrete Sgularly Perturbe Sytem Uer Compote Oberver-Bae Cotrol. ASME Joural o Dyamc Sytem, Meauremet, a Cotrol,, -9. Joh, W.D., 967, Apple Complex Varable New York: Macmlla. Khall H. K., 989, Feeback cotrol o otaar gularly perturbe ytem. IEEE Traacto o Automatc Cotrol,, 5 6. Kokotovc, P. V., Khall, H. K., a O Relly, J., 986, Sgular Perturbato Metho Cotrol: Aaly a Deg New York: Acaemc Pre. L, T. H. S., a L, J. H., 99, Stablato bou o crete two-tme-cale ytem. Sytem & Cotrol Letter, 8, Le, C. H., Heh J. G., a Su Y. J., 998, Robut tablato or a cla o ucerta ytem wth multple tme elay va lear cotrol. Joural o Mathematcal Aaly a Applcato, 8, Mahmou, M. S., 98, Orer reucto a cotrol o crete ytem. IEE Proceeg-Cotrol Theory a Applcato, 9, 9 5. Nau, D. S., a Rao, A. K., 985, Sgular Perturbato Aaly o Dcrete Cotrol Sytem Berl: Sprger-Verlag. Phooaruechaacha, S., Uahchkul, K., a Prempraeerach, Y., 998, Robut tablato o a tate elaye ytem. IEE Proceeg-Cotrol Theory a Applcato, 5, Sakea, V. R., J. O Relly a P. V. Kokotovc, 98, Sgular Perturbato a Tme Scale Metho Cotrol Theory - Survey , Automatca,, 7-9. Sh, P., Shue S. P., a Agarwal, R. K., 998, Robut turbace atteuato wth tablty or a cla o ucerta gularly perturbe ytem. Iteratoal Joural o Cotrol, 7, Su, T. J., a Shyr, W. J., 99, Robut D-tablty or lear ucerta crete tme-elay ytem. IEEE Traacto o Automatc Cotrol, 9, 5 8. Su, Y. J., Cheg J. S., Heh J. G., a C. C. Che, 996, Feeback cotrol o a cla o olear gularly perturbe ytem wth tme elay. Iteratoal Joural o Sytem Scece, 7, Trh, H., a Alee, M., 995, Robut tablty o gularly perturbe crete elay ytem. IEEE Traacto o Automatc Cotrol,, 6 6. Wu, H. S., a Mukam, K., 99, Robut tablato o ucerta lear yamcal ytem wth tme-varyg elay. Joural o Optmato Theory a Applcato, 8, ~ 77 ~

1. Linear second-order circuits

1. Linear second-order circuits ear eco-orer crcut Sere R crcut Dyamc crcut cotag two capactor or two uctor or oe uctor a oe capactor are calle the eco orer crcut At frt we coer a pecal cla of the eco-orer crcut, amely a ere coecto of

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology It J Pure Appl Sc Techol, () (00), pp 79-86 Iteratoal Joural of Pure ad Appled Scece ad Techology ISSN 9-607 Avalable ole at wwwjopaaat Reearch Paper Some Stroger Chaotc Feature of the Geeralzed Shft Map

More information

Consensus Tracking of Multi-Agent Systems with Constrained Time-delay by Iterative Learning Control

Consensus Tracking of Multi-Agent Systems with Constrained Time-delay by Iterative Learning Control Coeu Trackg of Mult-Aget Sytem wth Cotrae Tme-elay by Iteratve Learg Cotrol Yogl R Yog Fag, Hogwe Yu School of Commucato a Iformato Egeerg, Shagha Uverty, Shagha 00444, Cha E-mal: ryogl@163.com yfag@taff.hu.eu.c

More information

Simple Linear Regression Analysis

Simple Linear Regression Analysis LINEAR REGREION ANALYSIS MODULE II Lecture - 5 Smple Lear Regreo Aaly Dr Shalabh Departmet of Mathematc Stattc Ida Ittute of Techology Kapur Jot cofdece rego for A jot cofdece rego for ca alo be foud Such

More information

Linear Approximating to Integer Addition

Linear Approximating to Integer Addition Lear Approxmatg to Iteger Addto L A-Pg Bejg 00085, P.R. Cha apl000@a.com Abtract The teger addto ofte appled cpher a a cryptographc mea. I th paper we wll preet ome reult about the lear approxmatg for

More information

European Journal of Mathematics and Computer Science Vol. 5 No. 2, 2018 ISSN

European Journal of Mathematics and Computer Science Vol. 5 No. 2, 2018 ISSN Europea Joural of Mathematc ad Computer Scece Vol. 5 o., 018 ISS 059-9951 APPLICATIO OF ASYMPTOTIC DISTRIBUTIO OF MA-HITEY STATISTIC TO DETERMIE THE DIFFERECE BETEE THE SYSTOLIC BLOOD PRESSURE OF ME AD

More information

T-DOF PID Controller Design using Characteristic Ratio Assignment Method for Quadruple Tank Process

T-DOF PID Controller Design using Characteristic Ratio Assignment Method for Quadruple Tank Process World Academy of Scece, Egeerg ad Techology Iteratoal Joural of Electrcal ad Iformato Egeerg Vol:, No:, 7 T-DOF PID Cotroller Deg ug Charactertc Rato Agmet Method for Quadruple Tak Proce Tacha Sukr, U-tha

More information

European Journal of Mathematics and Computer Science Vol. 5 No. 2, 2018 ISSN

European Journal of Mathematics and Computer Science Vol. 5 No. 2, 2018 ISSN Europea Joural of Mathematc ad Computer Scece Vol. 5 o., 018 ISS 059-9951 APPLICATIO OF ASYMPTOTIC DISTRIBUTIO OF MA-HITEY STATISTIC TO DETERMIE THE DIFFERECE BETEE THE SYSTOLIC BLOOD PRESSURE OF ME AD

More information

NEW RESULTS IN TRAJECTORY-BASED SMALL-GAIN WITH APPLICATION TO THE STABILIZATION OF A CHEMOSTAT

NEW RESULTS IN TRAJECTORY-BASED SMALL-GAIN WITH APPLICATION TO THE STABILIZATION OF A CHEMOSTAT NEW RESULTS IN TRAJECTORY-BASED SMALL-GAIN WITH APPLICATION TO THE STABILIZATION OF A CHEMOSTAT Iao Karafyll * ad Zhog-Pg Jag ** * Dept. of Evrometal Eg., Techcal Uverty of Crete, 73, Chaa, Greece, emal:

More information

Application of Laplace Adomian Padé approximant to solve exponential stretching sheet problem in fluid mechanics

Application of Laplace Adomian Padé approximant to solve exponential stretching sheet problem in fluid mechanics Joural o Novel ppled Scece valable ole at wwwacorg JNS Joural---S/- ISSN - JNS pplcato o aplace doma Padé approxmat to olve expoetal tretchg heet problem lud mechac Hahoe ad Soltaalzadeh Departmet o Mathematc

More information

IRREDUCIBLE COVARIANT REPRESENTATIONS ASSOCIATED TO AN R-DISCRETE GROUPOID

IRREDUCIBLE COVARIANT REPRESENTATIONS ASSOCIATED TO AN R-DISCRETE GROUPOID UPB Sc Bull Sere A Vol 69 No 7 ISSN 3-77 IRREDUCIBLE COVARIANT REPRESENTATIONS ASSOCIATED TO AN R-DISCRETE GROUPOID Roxaa VIDICAN Ue perech covarate poztv defte ( T ) relatv la u grupod r-dcret G e poate

More information

Mathematical Model of Dengue Fever with and without awareness in Host Population

Mathematical Model of Dengue Fever with and without awareness in Host Population Iteratoal Joural of Advaced Egeerg Reearch ad Applcato ISSN: 454-377, October 015 Mathematcal Model of Degue Fever wth ad wthout awaree Hot Populato Gaga Ram Phajoo 1* & Dl Bahadur Gurug 1 Departmet of

More information

Maximum Walk Entropy Implies Walk Regularity

Maximum Walk Entropy Implies Walk Regularity Maxmum Walk Etropy Imples Walk Regularty Eresto Estraa, a José. e la Peña Departmet of Mathematcs a Statstcs, Uversty of Strathclye, Glasgow G XH, U.K., CIMT, Guaajuato, Mexco BSTRCT: The oto of walk etropy

More information

APPLICATION OF SIMPLIFIED CURVED BOUNDARY ELEMENTS TO THE PLATE ANALYSIS - PART ONE

APPLICATION OF SIMPLIFIED CURVED BOUNDARY ELEMENTS TO THE PLATE ANALYSIS - PART ONE Pleae cte th artcle a: Mchał Guma, Applcato of mplfe curve ouary elemet to the plate aaly - part oe, Scetfc Reearch of the Ittute of Mathematc a Computer Scece, 00, Volume 9, Iue, page 59-7. The ete: http://.amcm.pcz.pl/

More information

Study on Bayes Semiparametric Regression

Study on Bayes Semiparametric Regression Joural of Avace Apple Mathematc, Vol., No. 4, October 7 http://x.o.org/.66/jaam.7.4 97 Stuy o Baye Semparametrc Regreo Abulhue Saber AL-Mouel a Ameera Jaber Mohae Mathematc Departmet College of Eucato

More information

Reaction Time VS. Drug Percentage Subject Amount of Drug Times % Reaction Time in Seconds 1 Mary John Carl Sara William 5 4

Reaction Time VS. Drug Percentage Subject Amount of Drug Times % Reaction Time in Seconds 1 Mary John Carl Sara William 5 4 CHAPTER Smple Lear Regreo EXAMPLE A expermet volvg fve ubject coducted to determe the relatohp betwee the percetage of a certa drug the bloodtream ad the legth of tme t take the ubject to react to a tmulu.

More information

Trignometric Inequations and Fuzzy Information Theory

Trignometric Inequations and Fuzzy Information Theory Iteratoal Joural of Scetfc ad Iovatve Mathematcal Reearch (IJSIMR) Volume, Iue, Jauary - 0, PP 00-07 ISSN 7-07X (Prt) & ISSN 7- (Ole) www.arcjoural.org Trgometrc Iequato ad Fuzzy Iformato Theory P.K. Sharma,

More information

On the energy of complement of regular line graphs

On the energy of complement of regular line graphs MATCH Coucato Matheatcal ad Coputer Chetry MATCH Cou Math Coput Che 60 008) 47-434 ISSN 0340-653 O the eergy of copleet of regular le graph Fateeh Alaghpour a, Baha Ahad b a Uverty of Tehra, Tehra, Ira

More information

Functions of Random Variables

Functions of Random Variables Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,

More information

A Result of Convergence about Weighted Sum for Exchangeable Random Variable Sequence in the Errors-in-Variables Model

A Result of Convergence about Weighted Sum for Exchangeable Random Variable Sequence in the Errors-in-Variables Model AMSE JOURNALS-AMSE IIETA publcato-17-sere: Advace A; Vol. 54; N ; pp 3-33 Submtted Mar. 31, 17; Reved Ju. 11, 17, Accepted Ju. 18, 17 A Reult of Covergece about Weghted Sum for Exchageable Radom Varable

More information

CS473-Algorithms I. Lecture 12b. Dynamic Tables. CS 473 Lecture X 1

CS473-Algorithms I. Lecture 12b. Dynamic Tables. CS 473 Lecture X 1 CS473-Algorthm I Lecture b Dyamc Table CS 473 Lecture X Why Dyamc Table? I ome applcato: We do't kow how may object wll be tored a table. We may allocate pace for a table But, later we may fd out that

More information

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632

More information

Quiz 1- Linear Regression Analysis (Based on Lectures 1-14)

Quiz 1- Linear Regression Analysis (Based on Lectures 1-14) Quz - Lear Regreo Aaly (Baed o Lecture -4). I the mple lear regreo model y = β + βx + ε, wth Tme: Hour Ε ε = Ε ε = ( ) 3, ( ), =,,...,, the ubaed drect leat quare etmator ˆβ ad ˆβ of β ad β repectvely,

More information

LINEARLY CONSTRAINED MINIMIZATION BY USING NEWTON S METHOD

LINEARLY CONSTRAINED MINIMIZATION BY USING NEWTON S METHOD Jural Karya Asl Loreka Ahl Matematk Vol 8 o 205 Page 084-088 Jural Karya Asl Loreka Ahl Matematk LIEARLY COSTRAIED MIIMIZATIO BY USIG EWTO S METHOD Yosza B Dasrl, a Ismal B Moh 2 Faculty Electrocs a Computer

More information

Basic Structures: Sets, Functions, Sequences, and Sums

Basic Structures: Sets, Functions, Sequences, and Sums ac Structure: Set, Fucto, Sequece, ad Sum CSC-9 Dcrete Structure Kotat uch - LSU Set et a uordered collecto o object Eglh alphabet vowel: V { a, e,, o, u} a V b V Odd potve teger le tha : elemet o et member

More information

ELEC 372 LECTURE NOTES, WEEK 4 Dr. Amir G. Aghdam Concordia University

ELEC 372 LECTURE NOTES, WEEK 4 Dr. Amir G. Aghdam Concordia University ELEC 37 LECTURE NOTES, WEE 4 Dr Amir G Aghdam Cocordia Uiverity Part of thee ote are adapted from the material i the followig referece: Moder Cotrol Sytem by Richard C Dorf ad Robert H Bihop, Pretice Hall

More information

Effects of thin film thickness on emittance, reflectance and transmittance of nano scale multilayers

Effects of thin film thickness on emittance, reflectance and transmittance of nano scale multilayers Iteratoal Joural of the Phycal Scece Vol. 5(5), pp. 465-469, May 0 Avalable ole at http://www.acaemcjoural.org/ijps ISSN 199-1950 0 Acaemc Joural Full Legth Reearch Paper Effect of th flm thcke o emttace,

More information

RELAXED LYAPUNOV CRITERIA FOR ROBUST GLOBAL STABILIZATION OF NONLINEAR SYSTEMS WITH APPLICATION TO CHEMOSTAT CONTROL

RELAXED LYAPUNOV CRITERIA FOR ROBUST GLOBAL STABILIZATION OF NONLINEAR SYSTEMS WITH APPLICATION TO CHEMOSTAT CONTROL RELAED LYAPUNOV CRITERIA FOR ROBUST GLOBAL STABILIZATION OF NONLINEAR SYSTEMS WITH APPLICATION TO CHEMOSTAT CONTROL Iao Karafyll *, Cota Kravar ** ad Ncola Kalogerak * * Departmet of Evrometal Egeerg,

More information

Spherical Families of Polynomials: A Graphical Approach to Robust Stability Analysis

Spherical Families of Polynomials: A Graphical Approach to Robust Stability Analysis INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING Volume, 6 Sphercal Famle of Polyomal: A Graphcal Approach to Robut Stablty Aaly Radek Matušů Abtract Th paper teded to preet ot o commo

More information

ANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK

ANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK Far East Joural of Appled Mathematcs Volume, Number, 2008, Pages Ths paper s avalable ole at http://www.pphm.com 2008 Pushpa Publshg House ANALYSIS ON THE NATURE OF THE ASI EQUATIONS IN SYNERGETI INTER-REPRESENTATION

More information

A nonsmooth Levenberg-Marquardt method for generalized complementarity problem

A nonsmooth Levenberg-Marquardt method for generalized complementarity problem ISSN 746-7659 Egla UK Joural of Iformato a Computg Scece Vol. 7 No. 4 0 pp. 67-7 A osmooth Leveberg-Marquart metho for geeralze complemetarty problem Shou-qag Du College of Mathematcs Qgao Uversty Qgao

More information

Signal Recovery - Prof. S. Cova - Exam 2016/02/16 - P1 pag.1

Signal Recovery - Prof. S. Cova - Exam 2016/02/16 - P1 pag.1 gal Recovery - Pro.. Cova - Exam 06/0/6 - P pag. PROBEM Data ad Note Appled orce F rt cae: tep ple ecod cae: rectaglar ple wth drato p = 5m Pezoelectrc orce eor A q =0pC/N orce-to-charge covero C = 500pF

More information

Strong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity

Strong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity BULLETIN of the MALAYSIAN MATHEMATICAL SCIENCES SOCIETY Bull. Malays. Math. Sc. Soc. () 7 (004), 5 35 Strog Covergece of Weghted Averaged Appromats of Asymptotcally Noepasve Mappgs Baach Spaces wthout

More information

On a Truncated Erlang Queuing System. with Bulk Arrivals, Balking and Reneging

On a Truncated Erlang Queuing System. with Bulk Arrivals, Balking and Reneging Appled Mathematcal Scece Vol. 3 9 o. 3 3-3 O a Trucated Erlag Queug Sytem wth Bul Arrval Balg ad Reegg M. S. El-aoumy ad M. M. Imal Departmet of Stattc Faculty Of ommerce Al- Azhar Uverty. Grl Brach Egypt

More information

A Novel Loop Filter Design for Phase-Locked Loops

A Novel Loop Filter Design for Phase-Locked Loops 6 IEEE Coferece o Sytem Ma a Cyberetc October 8-6 ape aa A Novel Loop Flter Deg for Phae-Locke Loop YS Chou WL Mao YC Che a FR Chag Abtract A e loop flter eg metho for phae locke loop (PLL) preete hch

More information

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 9, Number 3/2008, pp

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 9, Number 3/2008, pp THE PUBLISHIN HOUSE PROCEEDINS OF THE ROMANIAN ACADEMY, Seres A, OF THE ROMANIAN ACADEMY Volume 9, Number 3/8, THE UNITS IN Stela Corelu ANDRONESCU Uversty of Pteşt, Deartmet of Mathematcs, Târgu Vale

More information

Study of Correlation using Bayes Approach under bivariate Distributions

Study of Correlation using Bayes Approach under bivariate Distributions Iteratoal Joural of Scece Egeerg ad Techolog Research IJSETR Volume Issue Februar 4 Stud of Correlato usg Baes Approach uder bvarate Dstrbutos N.S.Padharkar* ad. M.N.Deshpade** *Govt.Vdarbha Isttute of

More information

INTRODUCTION TO INERTIAL CONFINEMENT FUSION

INTRODUCTION TO INERTIAL CONFINEMENT FUSION INRODUCION O INERIAL CONFINEMEN FUSION R. Bett Lecture 1 Formula or hot pot temperature Reved dyamc model ad gto codto Etropy he ormula below wa derved Lecture 9. It repreet the maxmum value o the cetral

More information

Some distances and sequences in a weighted graph

Some distances and sequences in a weighted graph IOSR Joural of Mathematc (IOSR-JM) e-issn: 78-578 p-issn: 19 765X PP 7-15 wwworjouralorg Some dtace ad equece a weghted graph Jll K Mathew 1, Sul Mathew Departmet of Mathematc Federal Ittute of Scece ad

More information

. The set of these sums. be a partition of [ ab, ]. Consider the sum f( x) f( x 1)

. The set of these sums. be a partition of [ ab, ]. Consider the sum f( x) f( x 1) Chapter 7 Fuctos o Bouded Varato. Subject: Real Aalyss Level: M.Sc. Source: Syed Gul Shah (Charma, Departmet o Mathematcs, US Sargodha Collected & Composed by: Atq ur Rehma (atq@mathcty.org, http://www.mathcty.org

More information

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.1 INTRODUCTION 8.2 REDUCED ORDER MODEL DESIGN FOR LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.3

More information

INEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS

INEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS Joural of Mathematcal Scece: Advace ad Alcato Volume 24, 23, Page 29-46 INEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS ZLATKO PAVIĆ Mechacal Egeerg Faculty Slavok Brod Uverty of Ojek

More information

Research Article A New Iterative Method for Common Fixed Points of a Finite Family of Nonexpansive Mappings

Research Article A New Iterative Method for Common Fixed Points of a Finite Family of Nonexpansive Mappings Hdaw Publshg Corporato Iteratoal Joural of Mathematcs ad Mathematcal Sceces Volume 009, Artcle ID 391839, 9 pages do:10.1155/009/391839 Research Artcle A New Iteratve Method for Commo Fxed Pots of a Fte

More information

On the convergence of derivatives of Bernstein approximation

On the convergence of derivatives of Bernstein approximation O the covergece of dervatves of Berste approxmato Mchael S. Floater Abstract: By dfferetatg a remader formula of Stacu, we derve both a error boud ad a asymptotc formula for the dervatves of Berste approxmato.

More information

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 6, Number 1/2005, pp

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 6, Number 1/2005, pp THE PUBLISHING HOUSE PROCEEDINGS OF THE ROANIAN ACADEY, Sere A, OF THE ROANIAN ACADEY Volume 6, Number /005,. 000-000 ON THE TRANSCENDENCE OF THE TRACE FUNCTION Vctor ALEXANDRU Faculty o athematc, Uverty

More information

INVARIANT MANIFOLDS OF COMPLEX SYSTEMS

INVARIANT MANIFOLDS OF COMPLEX SYSTEMS INVARIANT MANIFOLDS OF COMPLE SYSTEMS Jea-Marc Goux a Bruo Rossetto P.R.O.T.E.E. Laboratory I.U.T. e Toulo, Uversté u Su B.P., 8957, La Gare ceex, Frace E-mal: goux@uv-tl.fr, rossetto@uv-tl.fr KEYWORDS

More information

UNIT 7 RANK CORRELATION

UNIT 7 RANK CORRELATION UNIT 7 RANK CORRELATION Rak Correlato Structure 7. Itroucto Objectves 7. Cocept of Rak Correlato 7.3 Dervato of Rak Correlato Coeffcet Formula 7.4 Te or Repeate Raks 7.5 Cocurret Devato 7.6 Summar 7.7

More information

Additional File 1 - Detailed explanation of the expression level CPD

Additional File 1 - Detailed explanation of the expression level CPD Addtonal Fle - Detaled explanaton of the expreon level CPD A mentoned n the man text, the man CPD for the uterng model cont of two ndvdual factor: P( level gen P( level gen P ( level gen 2 (.).. CPD factor

More information

ENGI 4421 Propagation of Error Page 8-01

ENGI 4421 Propagation of Error Page 8-01 ENGI 441 Propagato of Error Page 8-01 Propagato of Error [Navd Chapter 3; ot Devore] Ay realstc measuremet procedure cotas error. Ay calculatos based o that measuremet wll therefore also cota a error.

More information

Uniform asymptotical stability of almost periodic solution of a discrete multispecies Lotka-Volterra competition system

Uniform asymptotical stability of almost periodic solution of a discrete multispecies Lotka-Volterra competition system Iteratoal Joural of Egeerg ad Advaced Research Techology (IJEART) ISSN: 2454-9290, Volume-2, Issue-1, Jauary 2016 Uform asymptotcal stablty of almost perodc soluto of a dscrete multspeces Lotka-Volterra

More information

On Signed Product Cordial Labeling

On Signed Product Cordial Labeling Appled Mathematcs 55-53 do:.436/am..6 Publshed Ole December (http://www.scrp.or/joural/am) O Sed Product Cordal Label Abstract Jayapal Baskar Babujee Shobaa Loaatha Departmet o Mathematcs Aa Uversty Chea

More information

Temperature Memory Effect in Amorphous Shape Memory Polymers. Kai Yu 1, H. Jerry Qi 1, *

Temperature Memory Effect in Amorphous Shape Memory Polymers. Kai Yu 1, H. Jerry Qi 1, * Electroc Supplemetary Materal (ESI) for Soft Matter. h joural he Royal Socety of Chemtry 214 Supplemetary Materal for: emperature Memory Effect Amorphou Shape Memory Polymer Ka Yu 1, H. Jerry Q 1, * 1

More information

Journal of Engineering and Natural Sciences Mühendislik ve Fen Bilimleri Dergisi FACTORIZATION PROPERTIES IN POLYNOMIAL EXTENSION OF UFR S

Journal of Engineering and Natural Sciences Mühendislik ve Fen Bilimleri Dergisi FACTORIZATION PROPERTIES IN POLYNOMIAL EXTENSION OF UFR S Joural of Egeerg ad Natural Scece Mühedl ve Fe Bller Derg Sga 25/2 FACTORIZATION PROPERTIES IN POLYNOMIAL EXTENSION OF UFR S Murat ALAN* Yıldız Te Üverte, Fe-Edebyat Faülte, Mateat Bölüü, Davutpaşa-İSTANBUL

More information

ANOVA with Summary Statistics: A STATA Macro

ANOVA with Summary Statistics: A STATA Macro ANOVA wth Summary Stattc: A STATA Macro Nadeem Shafque Butt Departmet of Socal ad Prevetve Pedatrc Kg Edward Medcal College, Lahore, Pata Shahd Kamal Ittute of Stattc, Uverty of the Puab Lahore, Pata Muhammad

More information

Mean Cordial Labeling of Certain Graphs

Mean Cordial Labeling of Certain Graphs J Comp & Math Sc Vol4 (4), 74-8 (03) Mea Cordal Labelg o Certa Graphs ALBERT WILLIAM, INDRA RAJASINGH ad S ROY Departmet o Mathematcs, Loyola College, Chea, INDIA School o Advaced Sceces, VIT Uversty,

More information

Beam Warming Second-Order Upwind Method

Beam Warming Second-Order Upwind Method Beam Warmg Secod-Order Upwd Method Petr Valeta Jauary 6, 015 Ths documet s a part of the assessmet work for the subject 1DRP Dfferetal Equatos o Computer lectured o FNSPE CTU Prague. Abstract Ths documet

More information

C.11 Bang-bang Control

C.11 Bang-bang Control Itroucto to Cotrol heory Iclug Optmal Cotrol Nguye a e -.5 C. Bag-bag Cotrol. Itroucto hs chapter eals wth the cotrol wth restrctos: s boue a mght well be possble to have scotutes. o llustrate some of

More information

(2014) ISSN

(2014) ISSN Estraa, Eresto a e la Pea, Jose too (4) Maxmum walk etropy mples walk regularty. Lear lgebra a ts pplcatos, 458. pp. 54-547. ISSN 4-3795, http://x.o.org/.6/j.laa.4.6.3 Ths verso s avalable at https://strathprts.strath.ac.uk/5879/

More information

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions Iteratoal Joural of Computatoal Egeerg Research Vol, 0 Issue, Estmato of Stress- Stregth Relablty model usg fte mxture of expoetal dstrbutos K.Sadhya, T.S.Umamaheswar Departmet of Mathematcs, Lal Bhadur

More information

Research on SVM Prediction Model Based on Chaos Theory

Research on SVM Prediction Model Based on Chaos Theory Advaced Scece ad Techology Letters Vol.3 (SoftTech 06, pp.59-63 http://dx.do.org/0.457/astl.06.3.3 Research o SVM Predcto Model Based o Chaos Theory Sog Lagog, Wu Hux, Zhag Zezhog 3, College of Iformato

More information

On Eccentricity Sum Eigenvalue and Eccentricity Sum Energy of a Graph

On Eccentricity Sum Eigenvalue and Eccentricity Sum Energy of a Graph Aals of Pure ad Appled Mathematcs Vol. 3, No., 7, -3 ISSN: 79-87X (P, 79-888(ole Publshed o 3 March 7 www.researchmathsc.org DOI: http://dx.do.org/.7/apam.3a Aals of O Eccetrcty Sum Egealue ad Eccetrcty

More information

Explicit Stochastic Nonlinear Predictive Control Based on Gaussian Process Models

Explicit Stochastic Nonlinear Predictive Control Based on Gaussian Process Models Explct Stochatc Nolear Predctve Cotrol Baed o Gaua Proce Model Alexadra Gracharova, Juš Kocja, ad Tor A. Johae Abtract Nolear Model Predctve Cotrol (NMPC) algorthm are baed o varou olear model. Recetly,

More information

Continuous Random Variables: Conditioning, Expectation and Independence

Continuous Random Variables: Conditioning, Expectation and Independence Cotuous Radom Varables: Codtog, xectato ad Ideedece Berl Che Deartmet o Comuter cece & Iormato geerg atoal Tawa ormal Uverst Reerece: - D.. Bertsekas, J.. Tstskls, Itroducto to robablt, ectos 3.4-3.5 Codtog

More information

1 Edge Magic Labeling for Special Class of Graphs

1 Edge Magic Labeling for Special Class of Graphs S.Srram et. al. / Iteratoal Joural of Moder Sceces ad Egeerg Techology (IJMSET) ISSN 349-3755; Avalable at https://www.jmset.com Volume, Issue 0, 05, pp.60-67 Edge Magc Labelg for Specal Class of Graphs

More information

ON THE CHROMATIC NUMBER OF GENERALIZED STABLE KNESER GRAPHS

ON THE CHROMATIC NUMBER OF GENERALIZED STABLE KNESER GRAPHS ON THE CHROMATIC NUMBER OF GENERALIZED STABLE KNESER GRAPHS JAKOB JONSSON Abstract. For each teger trple (, k, s) such that k 2, s 2, a ks, efe a graph the followg maer. The vertex set cossts of all k-subsets

More information

Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables

Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables Joural of Sceces, Islamc Republc of Ira 8(4): -6 (007) Uversty of Tehra, ISSN 06-04 http://sceces.ut.ac.r Complete Covergece ad Some Maxmal Iequaltes for Weghted Sums of Radom Varables M. Am,,* H.R. Nl

More information

On Optimal Termination Rule for Primal-Dual Algorithm for Semi- Definite Programming

On Optimal Termination Rule for Primal-Dual Algorithm for Semi- Definite Programming Avalable ole at wwwelagareearchlbrarco Pelaga Reearch Lbrar Advace Aled Scece Reearch 6:4-3 ISSN: 976-86 CODEN USA: AASRFC O Otal Terato Rule or Pral-Dual Algorth or Se- Dete Prograg BO Adejo ad E Ogala

More information

STRONG DEVIATION THEOREMS FOR THE SEQUENCE OF CONTINUOUS RANDOM VARIABLES AND THE APPROACH OF LAPLACE TRANSFORM

STRONG DEVIATION THEOREMS FOR THE SEQUENCE OF CONTINUOUS RANDOM VARIABLES AND THE APPROACH OF LAPLACE TRANSFORM Joural of Statitic: Advace i Theory ad Applicatio Volume, Number, 9, Page 35-47 STRONG DEVIATION THEORES FOR THE SEQUENCE OF CONTINUOUS RANDO VARIABLES AND THE APPROACH OF LAPLACE TRANSFOR School of athematic

More information

13. Parametric and Non-Parametric Uncertainties, Radial Basis Functions and Neural Network Approximations

13. Parametric and Non-Parametric Uncertainties, Radial Basis Functions and Neural Network Approximations Lecture 7 3. Parametrc ad No-Parametrc Ucertates, Radal Bass Fuctos ad Neural Network Approxmatos he parameter estmato algorthms descrbed prevous sectos were based o the assumpto that the system ucertates

More information

Q-analogue of a Linear Transformation Preserving Log-concavity

Q-analogue of a Linear Transformation Preserving Log-concavity Iteratoal Joural of Algebra, Vol. 1, 2007, o. 2, 87-94 Q-aalogue of a Lear Trasformato Preservg Log-cocavty Daozhog Luo Departmet of Mathematcs, Huaqao Uversty Quazhou, Fua 362021, P. R. Cha ldzblue@163.com

More information

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations Dervato of -Pot Block Method Formula for Solvg Frst Order Stff Ordary Dfferetal Equatos Kharul Hamd Kharul Auar, Kharl Iskadar Othma, Zara Bb Ibrahm Abstract Dervato of pot block method formula wth costat

More information

Delay-independent Fuzzy Hyperbolic Guaranteed Cost Control Design for a Class of Nonlinear Continuous-time Systems with Uncertainties 1)

Delay-independent Fuzzy Hyperbolic Guaranteed Cost Control Design for a Class of Nonlinear Continuous-time Systems with Uncertainties 1) Vol.31, No.5 ACTA AUTOMATICA SINICA September, 5 Delay-depedet Fuzzy Hyperbolc Guarateed Cost Cotrol Desg for a Class of Nolear Cotuous-tme Systems wth Ucertates 1) LUN Shu-Xa 1, ZHANG Hua-Guag 1,3 1 (Key

More information

Chapter 14 Logistic Regression Models

Chapter 14 Logistic Regression Models Chapter 4 Logstc Regresso Models I the lear regresso model X β + ε, there are two types of varables explaatory varables X, X,, X k ad study varable y These varables ca be measured o a cotuous scale as

More information

Exam FM Formula Summary Version no driver 11/14/2006

Exam FM Formula Summary Version no driver 11/14/2006 Exam FM Formula Summary Verso 2.01 o rver 11/14/2006 Itroucto Sce ASM oes ot have a formula summary, I ece to comple oe to use as I starte workg o ol test questos. I the terest of other actuaral stuets,

More information

Consensus Control for a Class of High Order System via Sliding Mode Control

Consensus Control for a Class of High Order System via Sliding Mode Control Cosesus Cotrol for a Class of Hgh Order System va Sldg Mode Cotrol Chagb L, Y He, ad Aguo Wu School of Electrcal ad Automato Egeerg, Taj Uversty, Taj, Cha, 300072 Abstract. I ths paper, cosesus problem

More information

International Journal of Systems Science. Almost Decouplability of any Directed Weighted Network Topology

International Journal of Systems Science. Almost Decouplability of any Directed Weighted Network Topology Almost Decouplablty of ay Drecte Weghte etwork Topology Joural: Mauscrpt ID: TSYS-0-0 Mauscrpt Type: Orgal Paper Date Submtte by the Author: -Aug-0 Complete Lst of Authors: Ca, g; orthwest Uversty for

More information

State space systems analysis

State space systems analysis State pace ytem aalyi Repreetatio of a ytem i tate-pace (tate-pace model of a ytem To itroduce the tate pace formalim let u tart with a eample i which the ytem i dicuio i a imple electrical circuit with

More information

KEYWORDS: Triangular Fuzzy Number - Fully Fuzzy Time Cost Trade Off problem Goal Programming.

KEYWORDS: Triangular Fuzzy Number - Fully Fuzzy Time Cost Trade Off problem Goal Programming. [Jebaeell (: May 0] ISSN: 77-9 (IOR Publcato Impact Factor:.78 (ISRA Impact Factor:. IJESR INERNAIONAL JOURNAL OF ENGINEERING SIENES & RESEARH EHNOLOGY SOLUION PROEURE FOR FUZZY PROJE RASHING PROBLEM HROUGH

More information

Summary of the lecture in Biostatistics

Summary of the lecture in Biostatistics Summary of the lecture Bostatstcs Probablty Desty Fucto For a cotuos radom varable, a probablty desty fucto s a fucto such that: 0 dx a b) b a dx A probablty desty fucto provdes a smple descrpto of the

More information

The Necessarily Efficient Point Method for Interval Molp Problems

The Necessarily Efficient Point Method for Interval Molp Problems ISS 6-69 Eglad K Joural of Iformato ad omputg Scece Vol. o. 9 pp. - The ecessarly Effcet Pot Method for Iterval Molp Problems Hassa Mshmast eh ad Marzeh Alezhad + Mathematcs Departmet versty of Ssta ad

More information

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming ppled Matheatcal Sceces Vol 008 o 50 7-80 New Method for Solvg Fuzzy Lear Prograg by Solvg Lear Prograg S H Nasser a Departet of Matheatcs Faculty of Basc Sceces Mazadara Uversty Babolsar Ira b The Research

More information

Reliability and Cost Analysis of a Series System Model Using Fuzzy Parametric Geometric Programming

Reliability and Cost Analysis of a Series System Model Using Fuzzy Parametric Geometric Programming P P P IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Iue 8, October 204. Relablty ad Cot Aaly of a Sere Syte Model Ug Fuzzy Paraetrc Geoetrc Prograg Medhat El-Dacee P 2 2 P, Fahee

More information

Topology optimization of supporting structures for seismic response reduction of spatial structures

Topology optimization of supporting structures for seismic response reduction of spatial structures Proceeg of the ISS ual Sympoum 06 Spatal Structure the t Cetury 6 0 September, 06, Tokyo, Japa K. Kawaguch, M. Ohak, T. Takeuch (e.) Topology optmzato of upportg tructure for emc repoe reucto of patal

More information

NP!= P. By Liu Ran. Table of Contents. The P versus NP problem is a major unsolved problem in computer

NP!= P. By Liu Ran. Table of Contents. The P versus NP problem is a major unsolved problem in computer NP!= P By Lu Ra Table of Cotets. Itroduce 2. Prelmary theorem 3. Proof 4. Expla 5. Cocluso. Itroduce The P versus NP problem s a major usolved problem computer scece. Iformally, t asks whether a computer

More information

Compound Means and Fast Computation of Radicals

Compound Means and Fast Computation of Radicals ppled Mathematc 4 5 493-57 Publhed Ole September 4 ScRe http://wwwcrporg/oural/am http://dxdoorg/436/am4564 Compoud Mea ad Fat Computato of Radcal Ja Šute Departmet of Mathematc Faculty of Scece Uverty

More information

Newton s Power Flow algorithm

Newton s Power Flow algorithm Power Egeerg - Egll Beedt Hresso ewto s Power Flow algorthm Power Egeerg - Egll Beedt Hresso The ewto s Method of Power Flow 2 Calculatos. For the referece bus #, we set : V = p.u. ad δ = 0 For all other

More information

Lower Bounds of the Kirchhoff and Degree Kirchhoff Indices

Lower Bounds of the Kirchhoff and Degree Kirchhoff Indices SCIENTIFIC PUBLICATIONS OF THE STATE UNIVERSITY OF NOVI PAZAR SER. A: APPL. MATH. INFORM. AND MECH. vol. 7, (205), 25-3. Lower Bouds of the Krchhoff ad Degree Krchhoff Idces I. Ž. Mlovaovć, E. I. Mlovaovć,

More information

A note on testing the covariance matrix for large dimension

A note on testing the covariance matrix for large dimension A ote o tetg the covarace matrx for large dmeo Melae Brke Ruhr-Uvertät Bochum Fakultät für Mathematk 44780 Bochum, Germay e-mal: melae.brke@ruhr-u-bochum.de Holger ette Ruhr-Uvertät Bochum Fakultät für

More information

Group Decision Making with Triangular Fuzzy Linguistic Variables

Group Decision Making with Triangular Fuzzy Linguistic Variables roup Deco Makg wth ragular Fuzzy Lgutc Varable Zehu Xu Departmet of Maagemet Scece ad Egeerg School of Ecoomc ad Maagemet ghua Uverty, Beg 0008, Cha Xu_zehu@6.et Abtract. I group deco makg wth lgutc formato,

More information

An Introduction to. Support Vector Machine

An Introduction to. Support Vector Machine A Itroducto to Support Vector Mache Support Vector Mache (SVM) A classfer derved from statstcal learg theory by Vapk, et al. 99 SVM became famous whe, usg mages as put, t gave accuracy comparable to eural-etwork

More information

Construction of Balanced Functions without Extending Their Number of Variables

Construction of Balanced Functions without Extending Their Number of Variables IAENG Iteratoal Joural o Appled Mathematcs 9: IJAM_9_ Costructo o Balaced Fuctos wthout Etedg Ther Number o Varables Aïssa Belmegueaï Nouredde Doghmae ad Khaled Masour Abstract I ths work we rst gve a

More information

PRACTICAL BIJECTIVE S-BOX DESIGN

PRACTICAL BIJECTIVE S-BOX DESIGN Proceegs o the 5th Asa Matheatcal Coerece, Malaysa 009 PRACTICAL BIJECTIVE S-BOX DESIG Aburash Maaolov, Hera Isa, Moesa Soehela Mohaa,, Iorato Securty Cluster, Malaysa Isttute o Mcroelectroc Systes, Techology

More information

The Primitive Idempotents in

The Primitive Idempotents in Iteratoal Joural of Algebra, Vol, 00, o 5, 3 - The Prmtve Idempotets FC - I Kulvr gh Departmet of Mathematcs, H College r Jwa Nagar (rsa)-5075, Ida kulvrsheora@yahoocom K Arora Departmet of Mathematcs,

More information

A formula for Calculating Liquefaction Probability Based on Chinese Seismic Code

A formula for Calculating Liquefaction Probability Based on Chinese Seismic Code The 4 th Worl Coerece o Earthquake Eeer October -7 8 e Cha ormula or Calculat queacto robablty ae o Chee Semc Coe hezho CO aom YU oe CHE 3 tat roeor Dept. o Geotechcal Eeer Ittute o Eeer Mechac Harb Cha

More information

Layered structures: transfer matrix formalism

Layered structures: transfer matrix formalism Layered tructure: trafer matrx formalm Iterface betwee LI meda Trafer matrx formalm Petr Kužel Practcally oly oe formula to be kow order to calculate ay tructure Applcato: Atreflectve coatg Delectrc mrror,

More information

TESTS BASED ON MAXIMUM LIKELIHOOD

TESTS BASED ON MAXIMUM LIKELIHOOD ESE 5 Toy E. Smth. The Basc Example. TESTS BASED ON MAXIMUM LIKELIHOOD To llustrate the propertes of maxmum lkelhood estmates ad tests, we cosder the smplest possble case of estmatg the mea of the ormal

More information

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin Learzato of the Swg Equato We wll cover sectos.5.-.6 ad begg of Secto 3.3 these otes. 1. Sgle mache-fte bus case Cosder a sgle mache coected to a fte bus, as show Fg. 1 below. E y1 V=1./_ Fg. 1 The admttace

More information

THE SLOW-SCALE SSA. Yang Cao, Dan Gillespie, Linda Petzold

THE SLOW-SCALE SSA. Yang Cao, Dan Gillespie, Linda Petzold THE SLOW-SCALE SSA Yang Cao, Dan Gillepie, Linda Petzold With thank to: Muruhan Rathinam, Hana El-Samad, John Doyle and E. Haeltine & J. Rawling, J. Chem. Phy 117, 6959 (2002) Chri Rao & Adam Arkin, J.

More information

A New Measure of Probabilistic Entropy. and its Properties

A New Measure of Probabilistic Entropy. and its Properties Appled Mathematcal Sceces, Vol. 4, 200, o. 28, 387-394 A New Measure of Probablstc Etropy ad ts Propertes Rajeesh Kumar Departmet of Mathematcs Kurukshetra Uversty Kurukshetra, Ida rajeesh_kuk@redffmal.com

More information

Assignment 7/MATH 247/Winter, 2010 Due: Friday, March 19. Powers of a square matrix

Assignment 7/MATH 247/Winter, 2010 Due: Friday, March 19. Powers of a square matrix Assgmet 7/MATH 47/Wter, 00 Due: Frday, March 9 Powers o a square matrx Gve a square matrx A, ts powers A or large, or eve arbtrary, teger expoets ca be calculated by dagoalzg A -- that s possble (!) Namely,

More information