ELIMINATION OF FINITE EIGENVALUES OF STRONGLY SINGULAR SYSTEMS BY FEEDBACKS IN LINEAR SYSTEMS

Size: px
Start display at page:

Download "ELIMINATION OF FINITE EIGENVALUES OF STRONGLY SINGULAR SYSTEMS BY FEEDBACKS IN LINEAR SYSTEMS"

Transcription

1 73 M>D Tadeuz azore Waraw Uiverity of Tehology, Faulty of Eletrial Egieerig Ititute of Cotrol ad Idutrial Eletroi EIMINATION OF FINITE EIENVAUES OF STONY SINUA SYSTEMS BY FEEDBACS IN INEA SYSTEMS Tadeuz azore A ew proble of dereaig of the degree of loed-loop harateriti polyoial by uitable hoie of tate feedba for trogly igular liear yte i forulated ad olved Neeary ad uffiiet oditio are etablihed uder whih it i poible to hooe tate feedba uh that the ozero loed-loop harateriti polyoial ha zero degree A proedure for oputatio of the feedba gai atrie i propoed Itrodutio Dai ha how [, ] that for igular deriptor liear yte Ex i Axi Bui, E, A, B, det E it i poible to hooe a atrix of the tate-feedba u x uh that the ozero loed-loop harateriti polyoial det[ Ez A B] ha zero degree It i eay to how that for tadard yte E I doe ot exit uh tate-feedba Mai ubjet of thi ote i to etablihed eeary ad uffiiet oditio for trogly igular liear yte uder whih it i poible to hooe tate feedba uh that the ozero loed-loop harateriti polyoial ha zero degree Thi proedure of dereaig of the degree of loed-loop harateriti polyoial by feedba will be alled the eliiatio of fiite eigevalue of atrie by feedba ie the loed-loop ha o fiite eigevalue pole Thi type of proble arie i deigig of the perfet oberver for liear tadard yte [,, ] To the bet owledge of the author thi eliiatio of fiite eigevalue of atrie by feedba i liear yte ha ot bee oidered yet Proble forulatio et be the et of real atrie ad : Coider the liear otiuou-tie yte E x Ax Bu where x x t ad u u t are the tate ad iput vetor, repetively ad E, A, B It i aued that det E, ra B, ra [ E A, for all C the field of oplex uber ad the peil E, A i ot regular, ie det [ E A] for all C 3 We are looig for a gai atrix of the tate-feedba u v x uh that det[ E A B] α 5 where α i a real uber idepedet of viv Polytehi Natioal Uiverity Ititutioal epoitory

2 7 The proble a be tated a follow ive E,A,B ad α, fid atifyig 5 We hall etablih eeary ad uffiiet oditio for the exitee of a olutio to the proble ad we hall give a proedure for oputatio of the gai atrix A o that Proble olutio If the proble a be olved a follow We a alway hooe det[ E A ] α The auptio ra B ad iplie det B ad fro A A B we obtai B [ A A] Thu, we aue tha < Theore There exit atifyig 5 if ad oly if the oditio i atified Proof Neeity Fro the equality it follow that 5 iplie Suffiiey et F i, i,, i [ E A, B ad i i,, atrix ] I [ E A B] [ E A, 6 be the ior opoed of the i, i,, i olu of the, i be the I atrix The fro the Biett Cauhy forula [3] we obtai ior opoed of the i, i,, i row of the HW> V $ Q * Q < < < 3 Q P If hold the there exit at leat oe ozero ior F,, 7, whih i idepedet of I Fro the truture of it follow that it i alway poible to hooe the etrie of o that the ior,,, i ozero ad all reaiig ior i, i,, orrepodig to ozero ior F i i,,, i are zero I thi ae fro 7 ad 5 we obtai,,,, α det[ E A B] F,, 8 Hee, it i alway poible to hooe o that α * N N N Q 9 N N N The hoie i geeral ae i ot uique To iplify the hoie of the followig proedure baed o eleetary operatio i reoeded The followig eleetary row ad olu operatio will be ued: Multipliatio of the ith row olu by alar Thi eleetary row olu operatio will be deoted by [ i ] [ i ] Additio the jth row olu ultiplied by a polyoial b b to the ith row olu Thi eleetary row olu operatio will be deoted by [ i j b] [ i j b] Q i 3 Iterhage the ith ad jth row olu Thi eleetary row olu operatio will be deoted by [ i, [ i, viv Polytehi Natioal Uiverity Ititutioal epoitory

3 75 If the oditio i atified the there exit a uiodular atrix U detu i idepedet of of eleetary olu operatio uh that E A, U [ I ] [ Fro 6 ad we have I [ E A B] [ E A, UU [ I ] ad [ E A B] det where I U, 3 To fid uig eleetary olu operatio we perfor the redutio ad we perfor I iultaeouly orrepodig eleetary row operatio of the atrix taig ito aout the followig orrepodee []: [ i ] [ i ], [ i j b] [ j i b], [ i, [ i, The etrie of are hoe o that det α If the oditio i atified the the atrix a be foud by the ue of the followig proedure Proedure Step Uig eleetary olu operatio perfor the redutio ad perforig I iultaeouly orrepodig eleetary row operatio defied by U o the atrix fid the atrix Step Chooe the etrie of o that det α Exaple Coider the yte with E, A, B Fid 3 uh that 5 i atified for α I thi ae 3 3,, ra[ E, ra E ra B ad det[ E A] for all C The oditio i atified ie ra [ E A, ra 3 for all C Hee proble ha a olutio ad uig the proedure we obtai viv Polytehi Natioal Uiverity Ititutioal epoitory

4 76 Step To redue the atrix ], [ B A E to the for ] [ I 6 we perfor the followig eleetary olu operatio ] 5 [ ], [, [,5] [3,], [,3], ], [ ], [ or equivaletly we potultiply the atrix 5 by the uiodular atrix U 7 O the atrix 3 3 I 8 we perfor iultaeouly the followig eleetary row operatio ] [5 ], [, [,5] [3,], [,3], ], [ ], [ or equivaletly we preultiply the atrix 8 by the uiodular atrix U 9 ad we obtai 3 3 I U viv Polytehi Natioal Uiverity Ititutioal epoitory

5 77 ad Step Fro we have 3 3 det We hooe, for exaple, 3, 3,, The det ad for we obtai 5 for α The deired atrix ha the for 3 3 Coludig rear A ew proble of dereaig of the degree of loed-loop harateriti polyoial by uitable hoie of tate feedba for tadard liear yte ha bee forulated ad olved Coditio have bee etablihed uder whih it i poible to hooe tate feedba for trogly igular yte uh that 5 hold It ha bee how that the proble ha a olutio if ad oly if the oditio i atified A proedure for oputatio of the atrix of ha bee propoed ad illutrated by a uerial exaple The oideratio preeted for tadard otiuou-tie liear yte are alo valid with light odifiatio for trogly igular direte-tie liear yte A exteio of thi proble for liear two-dieioal yte [, 5] i alo poible Dai Oberver for direte Sigular Syte // IEEE Tra Auto Cotr, AC-33 HEU±J±'D/6QJXODU&QWUO6\VWHPV6SUQJHU9HUODJ±%HUOQ± Toyo, ataher F Theory of Matrie, vol ad Chelea, New Yor, 959 azore T iear Cotrol Syte, vol ad, eearh Studie Pre ad J Wiley, New Yor, azore T Perfet oberver for igular D ad D liear yte // Pro Polih era Sypoiu Siee eearh Eduatio, 8 9 Sept Zieloa óra, 3ODQ±J± viv Polytehi Natioal Uiverity Ititutioal epoitory

u t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall

u t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall Oct. Heat Equatio M aximum priciple I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace

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

Analysis of Analytical and Numerical Methods of Epidemic Models

Analysis of Analytical and Numerical Methods of Epidemic Models Iteratioal Joural of Egieerig Reearc ad Geeral Sciece Volue, Iue, Noveber-Deceber, 05 ISSN 09-70 Aalyi of Aalytical ad Nuerical Metod of Epideic Model Pooa Kuari Aitat Profeor, Departet of Mateatic Magad

More information

Ma/CS 6a Class 22: Power Series

Ma/CS 6a Class 22: Power Series Ma/CS 6a Class 22: Power Series By Ada Sheffer Power Series Mooial: ax i. Polyoial: a 0 + a 1 x + a 2 x 2 + + a x. Power series: A x = a 0 + a 1 x + a 2 x 2 + Also called foral power series, because we

More information

Heat Equation: Maximum Principles

Heat Equation: Maximum Principles Heat Equatio: Maximum Priciple Nov. 9, 0 I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace

More information

Multistep Runge-Kutta Methods for solving DAEs

Multistep Runge-Kutta Methods for solving DAEs Multitep Ruge-Kutta Method for olvig DAE Heru Suhartato Faculty of Coputer Sciece, Uiverita Idoeia Kapu UI, Depok 6424, Idoeia Phoe: +62-2-786 349 E-ail: heru@c.ui.ac.id Kevi Burrage Advaced Coputatioal

More information

10-716: Advanced Machine Learning Spring Lecture 13: March 5

10-716: Advanced Machine Learning Spring Lecture 13: March 5 10-716: Advaced Machie Learig Sprig 019 Lecture 13: March 5 Lecturer: Pradeep Ravikumar Scribe: Charvi Ratogi, Hele Zhou, Nicholay opi Note: Lae template courtey of UC Berkeley EECS dept. Diclaimer: hee

More information

THE CONCEPT OF THE ROOT LOCUS. H(s) THE CONCEPT OF THE ROOT LOCUS

THE CONCEPT OF THE ROOT LOCUS. H(s) THE CONCEPT OF THE ROOT LOCUS So far i the tudie of cotrol yte the role of the characteritic equatio polyoial i deteriig the behavior of the yte ha bee highlighted. The root of that polyoial are the pole of the cotrol yte, ad their

More information

Eigenstructure Assignment Method and Its Applications to the Constrained Problem

Eigenstructure Assignment Method and Its Applications to the Constrained Problem World Joural of Egieerig ad echology, 04,, 59-70 Publihed Olie May 04 i SciRe http://wwwcirporg/joural/wjet http://dxdoiorg/0436/wjet0407 Eigetructure Aiget Method ad It Applicatio to the Cotraied Proble

More information

ON THE SM -OPERATORS

ON THE SM -OPERATORS Soepara d O The SM-operators ON THE SM -OPERTORS Soepara Darawijaya Musli sori da Supaa 3 3 Matheatis Departeet FMIP UGM Yogyaarta eail: aspoo@yahoo.o Matheatis Departeet FMIP Uiversitas Lapug Jl. Soeatri

More information

Some remarks on the paper Some elementary inequalities of G. Bennett

Some remarks on the paper Some elementary inequalities of G. Bennett Soe rears o the paper Soe eleetary iequalities of G. Beett Dag Ah Tua ad Luu Quag Bay Vieta Natioal Uiversity - Haoi Uiversity of Sciece Abstract We give soe couterexaples ad soe rears of soe of the corollaries

More information

The Performance of Feedback Control Systems

The Performance of Feedback Control Systems The Performace of Feedbac Cotrol Sytem Objective:. Secify the meaure of erformace time-domai the firt te i the deig roce Percet overhoot / Settlig time T / Time to rie / Steady-tate error e. ut igal uch

More information

MORE COMMUTATOR INEQUALITIES FOR HILBERT SPACE OPERATORS

MORE COMMUTATOR INEQUALITIES FOR HILBERT SPACE OPERATORS terat. J. Fuctioal alyi Operator Theory ad pplicatio 04 Puhpa Publihig Houe llahabad dia vailable olie at http://pph.co/oural/ifaota.ht Volue Nuber 04 Page MORE COMMUTTOR NEQULTES FOR HLERT SPCE OPERTORS

More information

Bernoulli Numbers and a New Binomial Transform Identity

Bernoulli Numbers and a New Binomial Transform Identity 1 2 3 47 6 23 11 Joural of Iteger Sequece, Vol. 17 2014, Article 14.2.2 Beroulli Nuber ad a New Bioial Trafor Idetity H. W. Gould Departet of Matheatic Wet Virgiia Uiverity Morgatow, WV 26506 USA gould@ath.wvu.edu

More information

PRIMARY DECOMPOSITION, ASSOCIATED PRIME IDEALS AND GABRIEL TOPOLOGY

PRIMARY DECOMPOSITION, ASSOCIATED PRIME IDEALS AND GABRIEL TOPOLOGY Orietal J. ath., Volue 1, Nuber, 009, Page 101-108 009 Orietal Acadeic Publiher PRIARY DECOPOSITION, ASSOCIATED PRIE IDEALS AND GABRIEL TOPOLOGY. EL HAJOUI, A. IRI ad A. ZOGLAT Uiverité ohaed V aculté

More information

Applied Mathematical Sciences, Vol. 9, 2015, no. 3, HIKARI Ltd,

Applied Mathematical Sciences, Vol. 9, 2015, no. 3, HIKARI Ltd, Applied Mathematical Sciece Vol 9 5 o 3 7 - HIKARI Ltd wwwm-hiaricom http://dxdoiorg/988/am54884 O Poitive Defiite Solutio of the Noliear Matrix Equatio * A A I Saa'a A Zarea* Mathematical Sciece Departmet

More information

The Maximum Number of Subset Divisors of a Given Size

The Maximum Number of Subset Divisors of a Given Size The Maxiu Nuber of Subet Divior of a Give Size arxiv:407.470v [ath.co] 0 May 05 Abtract Sauel Zbary Caregie Mello Uiverity a zbary@yahoo.co Matheatic Subject Claificatio: 05A5, 05D05 If i a poitive iteger

More information

The Coupon Collector Problem in Statistical Quality Control

The Coupon Collector Problem in Statistical Quality Control The Coupo Collector Proble i Statitical Quality Cotrol Taar Gadrich, ad Rachel Ravid Abtract I the paper, the author have exteded the claical coupo collector proble to the cae of group drawig with iditiguihable

More information

AUTOMATIC CONTROL SYSTEMS

AUTOMATIC CONTROL SYSTEMS 9 HE UO ONROL SYSES OSVE SLE RELZONS OF ONNUOUS-E LNER SYSES deuz Kzore trt: he rolem for exitee d determitio of the et of oitive ymtotilly tle reliztio of roer trfer futio of lier otiuou-time ytem i formulted

More information

Reliable Decentralized PID Stabilization of MIMO Systems

Reliable Decentralized PID Stabilization of MIMO Systems Proceedig of the 6 America Cotrol Coferece Mieapoli, Mieota, USA, Jue 4-6, 6 FrB.5 Reliable Decetralized PID Stabilizatio of MIMO Sytem A. N. Mete, A. N. Güdeş, ad A. N. Palazoğlu Abtract Sytematic method

More information

Decoupling Zeros of Positive Discrete-Time Linear Systems*

Decoupling Zeros of Positive Discrete-Time Linear Systems* Circuits ad Systems,,, 4-48 doi:.436/cs..7 Published Olie October (http://www.scirp.org/oural/cs) Decouplig Zeros of Positive Discrete-Time Liear Systems* bstract Tadeusz Kaczorek Faculty of Electrical

More information

On the Positive Definite Solutions of the Matrix Equation X S + A * X S A = Q

On the Positive Definite Solutions of the Matrix Equation X S + A * X S A = Q The Ope Applied Mathematic Joural 011 5 19-5 19 Ope Acce O the Poitive Defiite Solutio of the Matrix Equatio X S + A * X S A = Q Maria Adam * Departmet of Computer Sciece ad Biomedical Iformatic Uiverity

More information

x z Increasing the size of the sample increases the power (reduces the probability of a Type II error) when the significance level remains fixed.

x z Increasing the size of the sample increases the power (reduces the probability of a Type II error) when the significance level remains fixed. ] z-tet for the mea, μ If the P-value i a mall or maller tha a pecified value, the data are tatitically igificat at igificace level. Sigificace tet for the hypothei H 0: = 0 cocerig the ukow mea of a populatio

More information

Matrix Algebra 2.2 THE INVERSE OF A MATRIX Pearson Education, Inc.

Matrix Algebra 2.2 THE INVERSE OF A MATRIX Pearson Education, Inc. 2 Matrix Algebra 2.2 THE INVERSE OF A MATRIX MATRIX OPERATIONS A matrix A is said to be ivertible if there is a matrix C such that CA = I ad AC = I where, the idetity matrix. I = I I this case, C is a

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

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

SOLUTION: The 95% confidence interval for the population mean µ is x ± t 0.025; 49

SOLUTION: The 95% confidence interval for the population mean µ is x ± t 0.025; 49 C22.0103 Sprig 2011 Homework 7 olutio 1. Baed o a ample of 50 x-value havig mea 35.36 ad tadard deviatio 4.26, fid a 95% cofidece iterval for the populatio mea. SOLUTION: The 95% cofidece iterval for the

More information

School of Mechanical Engineering Purdue University. ME375 Transfer Functions - 1

School of Mechanical Engineering Purdue University. ME375 Transfer Functions - 1 Trasfer Fuctio Aalysis Free & Forced Resposes Trasfer Fuctio Syste Stability ME375 Trasfer Fuctios - 1 Free & Forced Resposes Ex: Let s look at a stable first order syste: y y Ku Take LT of the I/O odel

More information

Last time: Completed solution to the optimum linear filter in real-time operation

Last time: Completed solution to the optimum linear filter in real-time operation 6.3 tochatic Etimatio ad Cotrol, Fall 4 ecture at time: Completed olutio to the oimum liear filter i real-time operatio emi-free cofiguratio: t D( p) F( p) i( p) dte dp e π F( ) F( ) ( ) F( p) ( p) 4444443

More information

ASYMPTOTIC STABILITY OF POSITIVE FRACTIONAL 2D LINEAR SYSTEMS WITH DELAYS

ASYMPTOTIC STABILITY OF POSITIVE FRACTIONAL 2D LINEAR SYSTEMS WITH DELAYS ASYMPTOTIC STABILITY OF POSITIVE FRACTIONAL D LINEAR SYSTEMS WITH DELAYS Tadeusz Kaczorek Faculty of Electrical Egieerig Bialystok Techical Uiversity Wiejska 45D 5-35 Bialystok Polad kaczorek@isep.pw.edu.pl

More information

Stochastic Matrices in a Finite Field

Stochastic Matrices in a Finite Field Stochastic Matrices i a Fiite Field Abstract: I this project we will explore the properties of stochastic matrices i both the real ad the fiite fields. We first explore what properties 2 2 stochastic matrices

More information

STA 4032 Final Exam Formula Sheet

STA 4032 Final Exam Formula Sheet Chapter 2. Probability STA 4032 Fial Eam Formula Sheet Some Baic Probability Formula: (1) P (A B) = P (A) + P (B) P (A B). (2) P (A ) = 1 P (A) ( A i the complemet of A). (3) If S i a fiite ample pace

More information

We will look for series solutions to (1) around (at most) regular singular points, which without

We will look for series solutions to (1) around (at most) regular singular points, which without ENM 511 J. L. Baai April, 1 Frobeiu Solutio to a d order ODE ear a regular igular poit Coider the ODE y 16 + P16 y 16 + Q1616 y (1) We will look for erie olutio to (1) aroud (at mot) regular igular poit,

More information

MATH : Matrices & Linear Algebra Spring Final Review

MATH : Matrices & Linear Algebra Spring Final Review MATH 3330-00: Matrices & Liear Algebra Sprig 009 Fial Review Hua Sha Gauss-Jorda Eliiatio [.] Reduced row-echelo for (rref Rak [.3] rak(a = uber of leadig s i rref(a di(i A = rak( A Liear Trasforatio i

More information

Transfer Function Analysis

Transfer Function Analysis Trasfer Fuctio Aalysis Free & Forced Resposes Trasfer Fuctio Syste Stability ME375 Trasfer Fuctios - Free & Forced Resposes Ex: Let s s look at a stable first order syste: τ y + y = Ku Take LT of the I/O

More information

Statistical Inference Procedures

Statistical Inference Procedures Statitical Iferece Procedure Cofidece Iterval Hypothei Tet Statitical iferece produce awer to pecific quetio about the populatio of iteret baed o the iformatio i a ample. Iferece procedure mut iclude a

More information

Define a Markov chain on {1,..., 6} with transition probability matrix P =

Define a Markov chain on {1,..., 6} with transition probability matrix P = Pla Group Work 0. The title says it all Next Tie: MCMC ad Geeral-state Markov Chais Midter Exa: Tuesday 8 March i class Hoework 4 due Thursday Uless otherwise oted, let X be a irreducible, aperiodic Markov

More information

) is a square matrix with the property that for any m n matrix A, the product AI equals A. The identity matrix has a ii

) is a square matrix with the property that for any m n matrix A, the product AI equals A. The identity matrix has a ii square atrix is oe that has the sae uber of rows as colus; that is, a atrix. he idetity atrix (deoted by I, I, or [] I ) is a square atrix with the property that for ay atrix, the product I equals. he

More information

State Space Representation

State Space Representation Optimal Cotrol, Guidace ad Estimatio Lecture 2 Overview of SS Approach ad Matrix heory Prof. Radhakat Padhi Dept. of Aerospace Egieerig Idia Istitute of Sciece - Bagalore State Space Represetatio Prof.

More information

Positive solutions of singular (k,n-k) conjugate boundary value problem

Positive solutions of singular (k,n-k) conjugate boundary value problem Joural of Applied Mathematic & Bioiformatic vol5 o 25-2 ISSN: 792-662 prit 792-699 olie Sciepre Ltd 25 Poitive olutio of igular - cojugate boudar value problem Ligbi Kog ad Tao Lu 2 Abtract Poitive olutio

More information

LECTURE 13 SIMULTANEOUS EQUATIONS

LECTURE 13 SIMULTANEOUS EQUATIONS NOVEMBER 5, 26 Demad-upply ytem LETURE 3 SIMULTNEOUS EQUTIONS I thi lecture, we dicu edogeeity problem that arie due to imultaeity, i.e. the left-had ide variable ad ome of the right-had ide variable are

More information

Math 213b (Spring 2005) Yum-Tong Siu 1. Explicit Formula for Logarithmic Derivative of Riemann Zeta Function

Math 213b (Spring 2005) Yum-Tong Siu 1. Explicit Formula for Logarithmic Derivative of Riemann Zeta Function Math 3b Sprig 005 Yum-og Siu Expliit Formula for Logarithmi Derivative of Riema Zeta Futio he expliit formula for the logarithmi derivative of the Riema zeta futio i the appliatio to it of the Perro formula

More information

Brief Review of Linear System Theory

Brief Review of Linear System Theory Brief Review of Liear Sytem heory he followig iformatio i typically covered i a coure o liear ytem theory. At ISU, EE 577 i oe uch coure ad i highly recommeded for power ytem egieerig tudet. We have developed

More information

Inverse Matrix. A meaning that matrix B is an inverse of matrix A.

Inverse Matrix. A meaning that matrix B is an inverse of matrix A. Iverse Matrix Two square matrices A ad B of dimesios are called iverses to oe aother if the followig holds, AB BA I (11) The otio is dual but we ofte write 1 B A meaig that matrix B is a iverse of matrix

More information

42 Dependence and Bases

42 Dependence and Bases 42 Depedece ad Bases The spa s(a) of a subset A i vector space V is a subspace of V. This spa ay be the whole vector space V (we say the A spas V). I this paragraph we study subsets A of V which spa V

More information

System Control. Lesson #19a. BME 333 Biomedical Signals and Systems - J.Schesser

System Control. Lesson #19a. BME 333 Biomedical Signals and Systems - J.Schesser Sytem Cotrol Leo #9a 76 Sytem Cotrol Baic roblem Say you have a ytem which you ca ot alter but it repoe i ot optimal Example Motor cotrol for exokeleto Robotic cotrol roblem that ca occur Utable Traiet

More information

f(1), and so, if f is continuous, f(x) = f(1)x.

f(1), and so, if f is continuous, f(x) = f(1)x. 2.2.35: Let f be a additive fuctio. i Clearly fx = fx ad therefore f x = fx for all Z+ ad x R. Hece, for ay, Z +, f = f, ad so, if f is cotiuous, fx = fx. ii Suppose that f is bouded o soe o-epty ope set.

More information

Evaluation of Time Delay Margin for Added Damping of SDOF Systems in Real-Time Dynamic Hybrid Testing (RTDHT) under Seismic Excitation

Evaluation of Time Delay Margin for Added Damping of SDOF Systems in Real-Time Dynamic Hybrid Testing (RTDHT) under Seismic Excitation Evaluatio of Tie Delay Margi for Added Dapig of SDOF Systes i Real-Tie Dyai Hybrid Testig (RTDHT) uder Seisi Exitatio Saffet Ayasu & Bai Oztur Faulty of Egieerig Nigde Uiversity, Nigde, 51100, TURKEY SUMMARY:

More information

SphericalHarmonicY. Notations. Primary definition. Specific values. Traditional name. Traditional notation. Mathematica StandardForm notation

SphericalHarmonicY. Notations. Primary definition. Specific values. Traditional name. Traditional notation. Mathematica StandardForm notation SphericalHaroicY Notatios Traditioal ae Spherical haroic Traditioal otatio Y, φ Matheatica StadardFor otatio SphericalHaroicY,,, φ Priary defiitio 05.0.0.000.0 Y, φ φ P cos ; 05.0.0.000.0 Y 0 k, φ k k

More information

After the completion of this section the student. V.4.2. Power Series Solution. V.4.3. The Method of Frobenius. V.4.4. Taylor Series Solution

After the completion of this section the student. V.4.2. Power Series Solution. V.4.3. The Method of Frobenius. V.4.4. Taylor Series Solution Chapter V ODE V.4 Power Series Solutio Otober, 8 385 V.4 Power Series Solutio Objetives: After the ompletio of this setio the studet - should reall the power series solutio of a liear ODE with variable

More information

Applications in Linear Algebra and Uses of Technology

Applications in Linear Algebra and Uses of Technology 1 TI-89: Let A 1 4 5 6 7 8 10 Applicatios i Liear Algebra ad Uses of Techology,adB 4 1 1 4 type i: [1,,;4,5,6;7,8,10] press: STO type i: A type i: [4,-1;-1,4] press: STO (1) Row Echelo Form: MATH/matrix

More information

A PROBABILITY PROBLEM

A PROBABILITY PROBLEM A PROBABILITY PROBLEM A big superarket chai has the followig policy: For every Euros you sped per buy, you ear oe poit (suppose, e.g., that = 3; i this case, if you sped 8.45 Euros, you get two poits,

More information

Lecture 10: Bounded Linear Operators and Orthogonality in Hilbert Spaces

Lecture 10: Bounded Linear Operators and Orthogonality in Hilbert Spaces Lecture : Bouded Liear Operators ad Orthogoality i Hilbert Spaces 34 Bouded Liear Operator Let ( X, ), ( Y, ) i i be ored liear vector spaces ad { } X Y The, T is said to be bouded if a real uber c such

More information

A Tail Bound For Sums Of Independent Random Variables And Application To The Pareto Distribution

A Tail Bound For Sums Of Independent Random Variables And Application To The Pareto Distribution Applied Mathematic E-Note, 9009, 300-306 c ISSN 1607-510 Available free at mirror ite of http://wwwmaththuedutw/ ame/ A Tail Boud For Sum Of Idepedet Radom Variable Ad Applicatio To The Pareto Ditributio

More information

Chap.4 Ray Theory. The Ray theory equations. Plane wave of homogeneous medium

Chap.4 Ray Theory. The Ray theory equations. Plane wave of homogeneous medium The Ra theor equatio Plae wave of homogeeou medium Chap.4 Ra Theor A plae wave ha the dititive propert that it tregth ad diretio of propagatio do ot var a it propagate through a homogeeou medium p vae

More information

Zeros of Polynomials

Zeros of Polynomials Math 160 www.timetodare.com 4.5 4.6 Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered with fidig the solutios of polyomial equatios of ay degree

More information

A brief introduction to linear algebra

A brief introduction to linear algebra CHAPTER 6 A brief itroductio to liear algebra 1. Vector spaces ad liear maps I what follows, fix K 2{Q, R, C}. More geerally, K ca be ay field. 1.1. Vector spaces. Motivated by our ituitio of addig ad

More information

SOME NEW SEQUENCE SPACES AND ALMOST CONVERGENCE

SOME NEW SEQUENCE SPACES AND ALMOST CONVERGENCE Faulty of Siees ad Matheatis, Uivesity of Niš, Sebia Available at: http://www.pf.i.a.yu/filoat Filoat 22:2 (28), 59 64 SOME NEW SEQUENCE SPACES AND ALMOST CONVERGENCE Saee Ahad Gupai Abstat. The sequee

More information

The Hypergeometric Coupon Collection Problem and its Dual

The Hypergeometric Coupon Collection Problem and its Dual Joural of Idustrial ad Systes Egieerig Vol., o., pp -7 Sprig 7 The Hypergeoetric Coupo Collectio Proble ad its Dual Sheldo M. Ross Epstei Departet of Idustrial ad Systes Egieerig, Uiversity of Souther

More information

distinct distinct n k n k n! n n k k n 1 if k n, identical identical p j (k) p 0 if k > n n (k)

distinct distinct n k n k n! n n k k n 1 if k n, identical identical p j (k) p 0 if k > n n (k) THE TWELVEFOLD WAY FOLLOWING GIAN-CARLO ROTA How ay ways ca we distribute objects to recipiets? Equivaletly, we wat to euerate equivalece classes of fuctios f : X Y where X = ad Y = The fuctios are subject

More information

M227 Chapter 9 Section 1 Testing Two Parameters: Means, Variances, Proportions

M227 Chapter 9 Section 1 Testing Two Parameters: Means, Variances, Proportions M7 Chapter 9 Sectio 1 OBJECTIVES Tet two mea with idepedet ample whe populatio variace are kow. Tet two variace with idepedet ample. Tet two mea with idepedet ample whe populatio variace are equal Tet

More information

PROBLEM SET I (Suggested Solutions)

PROBLEM SET I (Suggested Solutions) Eco3-Fall3 PROBLE SET I (Suggested Solutios). a) Cosider the followig: x x = x The quadratic form = T x x is the required oe i matrix form. Similarly, for the followig parts: x 5 b) x = = x c) x x x x

More information

ALMOST CONVERGENCE AND SOME MATRIX TRANSFORMATIONS

ALMOST CONVERGENCE AND SOME MATRIX TRANSFORMATIONS It. J. Cotep. Math. Sci., Vol. 1, 2006, o. 1, 39-43 ALMOST CONVERGENCE AND SOME MATRIX TRANSFORMATIONS Qaaruddi ad S. A. Mohiuddie Departet of Matheatics, Aligarh Musli Uiversity Aligarh-202002, Idia sdqaar@rediffail.co,

More information

Sx [ ] = x must yield a

Sx [ ] = x must yield a Math -b Leture #5 Notes This wee we start with a remider about oordiates of a vetor relative to a basis for a subspae ad the importat speial ase where the subspae is all of R. This freedom to desribe vetors

More information

Stability of fractional positive nonlinear systems

Stability of fractional positive nonlinear systems Archives of Cotrol Scieces Volume 5(LXI), 15 No. 4, pages 491 496 Stability of fractioal positive oliear systems TADEUSZ KACZOREK The coditios for positivity ad stability of a class of fractioal oliear

More information

On The Computation Of Weighted Shapley Values For Cooperative TU Games

On The Computation Of Weighted Shapley Values For Cooperative TU Games O he Computatio Of Weighted hapley Value For Cooperative U Game Iriel Draga echical Report 009-0 http://www.uta.edu/math/preprit/ Computatio of Weighted hapley Value O HE COMPUAIO OF WEIGHED HAPLEY VALUE

More information

Note 7 Root-Locus Techniques

Note 7 Root-Locus Techniques Lecture Note of Cotrol Syte I - ME 43/Alyi d Sythei of Lier Cotrol Syte - ME862 Note 7 Root-Locu Techique Deprtet of Mechicl Egieerig, Uiverity Of Sktchew, 57 Cpu Drive, Sktoo, S S7N 5A9, Cd Lecture Note

More information

M A T H F A L L CORRECTION. Algebra I 1 4 / 1 0 / U N I V E R S I T Y O F T O R O N T O

M A T H F A L L CORRECTION. Algebra I 1 4 / 1 0 / U N I V E R S I T Y O F T O R O N T O M A T H 2 4 0 F A L L 2 0 1 4 HOMEWORK ASSIGNMENT #4 CORRECTION Algebra I 1 4 / 1 0 / 2 0 1 4 U N I V E R S I T Y O F T O R O N T O P r o f e s s o r : D r o r B a r - N a t a Correctio Homework Assigmet

More information

q-apery Irrationality Proofs by q-wz Pairs

q-apery Irrationality Proofs by q-wz Pairs ADVANCES IN APPLIED MATHEMATICS 0, 7583 1998 ARTICLE NO AM970565 -Apery Irratioality Proof by -WZ Pair Tewodro Adeberha ad Doro Zeilberger Departet of Matheatic, Teple Uierity, Philadelphia, Peylaia 191,

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 30 Sigal & Sytem Prof. Mark Fowler Note Set #8 C-T Sytem: Laplace Traform Solvig Differetial Equatio Readig Aigmet: Sectio 6.4 of Kame ad Heck / Coure Flow Diagram The arrow here how coceptual flow

More information

Supplementary Material

Supplementary Material Suppleetary Material Wezhuo Ya a0096049@us.edu.s Departet of Mechaical Eieeri, Natioal Uiversity of Siapore, Siapore 117576 Hua Xu pexuh@us.edu.s Departet of Mechaical Eieeri, Natioal Uiversity of Siapore,

More information

Metasurface Cloak Performance Near-by Multiple Line Sources and PEC Cylindrical Objects

Metasurface Cloak Performance Near-by Multiple Line Sources and PEC Cylindrical Objects Metaurfae Cloa Performae Near-by Multiple Lie Soure ad PEC Cylidrial Objet S. Arlaagić, W. Y. amilto, S. Pehro, ad A. B. Yaovlev 2 Departmet of Eletrial Egieerig Eletromageti Sytem Tehial Uiverity of Demar

More information

Lyapunov Stability Analysis for Feedback Control Design

Lyapunov Stability Analysis for Feedback Control Design Copyright F.L. Lewis 008 All rights reserved Updated: uesday, November, 008 Lyapuov Stability Aalysis for Feedbac Cotrol Desig Lyapuov heorems Lyapuov Aalysis allows oe to aalyze the stability of cotiuous-time

More information

Iterative Techniques for Solving Ax b -(3.8). Assume that the system has a unique solution. Let x be the solution. Then x A 1 b.

Iterative Techniques for Solving Ax b -(3.8). Assume that the system has a unique solution. Let x be the solution. Then x A 1 b. Iterative Techiques for Solvig Ax b -(8) Cosider solvig liear systems of them form: Ax b where A a ij, x x i, b b i Assume that the system has a uique solutio Let x be the solutio The x A b Jacobi ad Gauss-Seidel

More information

a for a 1 1 matrix. a b a b 2 2 matrix: We define det ad bc 3 3 matrix: We define a a a a a a a a a a a a a a a a a a

a for a 1 1 matrix. a b a b 2 2 matrix: We define det ad bc 3 3 matrix: We define a a a a a a a a a a a a a a a a a a Math S-b Lecture # Notes This wee is all about determiats We ll discuss how to defie them, how to calculate them, lear the allimportat property ow as multiliearity, ad show that a square matrix A is ivertible

More information

Name Period ALGEBRA II Chapter 1B and 2A Notes Solving Inequalities and Absolute Value / Numbers and Functions

Name Period ALGEBRA II Chapter 1B and 2A Notes Solving Inequalities and Absolute Value / Numbers and Functions Nae Period ALGEBRA II Chapter B ad A Notes Solvig Iequalities ad Absolute Value / Nubers ad Fuctios SECTION.6 Itroductio to Solvig Equatios Objectives: Write ad solve a liear equatio i oe variable. Solve

More information

Boundedness for multilinear commutator of singular integral operator with weighted Lipschitz functions

Boundedness for multilinear commutator of singular integral operator with weighted Lipschitz functions Aal of the Uiverity of raiova, Matheatic ad oputer Sciece Serie Volue 40), 203, Page 84 94 ISSN: 223-6934 Boudede for ultiliear coutator of igular itegral operator with weighted Lipchitz fuctio Guo Sheg,

More information

A Modified Discrete-Time Jacobi Waveform Relaxation Iteration

A Modified Discrete-Time Jacobi Waveform Relaxation Iteration Applied Matheatic, 0,, 496-503 doi:0.436/a.0.4064 Publihed Olie April 0 (http://www.scirp.org/oural/a) A Modified Dicrete-ie Jacobi Wavefor Relaatio Iteratio Yog Liu,, Shuli Wu 3 Departet of Itruet Sciece

More information

Comments on Discussion Sheet 18 and Worksheet 18 ( ) An Introduction to Hypothesis Testing

Comments on Discussion Sheet 18 and Worksheet 18 ( ) An Introduction to Hypothesis Testing Commet o Dicuio Sheet 18 ad Workheet 18 ( 9.5-9.7) A Itroductio to Hypothei Tetig Dicuio Sheet 18 A Itroductio to Hypothei Tetig We have tudied cofidece iterval for a while ow. Thee are method that allow

More information

Société de Calcul Mathématique, S. A. Algorithmes et Optimisation

Société de Calcul Mathématique, S. A. Algorithmes et Optimisation Société de Calcul Mathématique S A Algorithme et Optimiatio Radom amplig of proportio Berard Beauzamy Jue 2008 From time to time we fid a problem i which we do ot deal with value but with proportio For

More information

Last time: Ground rules for filtering and control system design

Last time: Ground rules for filtering and control system design 6.3 Stochatic Etimatio ad Cotrol, Fall 004 Lecture 7 Lat time: Groud rule for filterig ad cotrol ytem deig Gral ytem Sytem parameter are cotaied i w( t ad w ( t. Deired output i grated by takig the igal

More information

Inverse Linear Programming in DEA

Inverse Linear Programming in DEA Iteratioal oural of Operatio Reearch Iteratioal oural of Operatio Reearch Vol. 4,. 2, 05 09 (2007) Ivere Liear Prograig i DEA Ghola R. Ai, ad Ali Erouzead 2 Departet of Coputer Sciece, Potgraduate Egieerig

More information

LECTURE 8: ORTHOGONALITY (CHAPTER 5 IN THE BOOK)

LECTURE 8: ORTHOGONALITY (CHAPTER 5 IN THE BOOK) LECTURE 8: ORTHOGONALITY (CHAPTER 5 IN THE BOOK) Everythig marked by is ot required by the course syllabus I this lecture, all vector spaces is over the real umber R. All vectors i R is viewed as a colum

More information

ME 410 MECHANICAL ENGINEERING SYSTEMS LABORATORY REGRESSION ANALYSIS

ME 410 MECHANICAL ENGINEERING SYSTEMS LABORATORY REGRESSION ANALYSIS ME 40 MECHANICAL ENGINEERING REGRESSION ANALYSIS Regreio problem deal with the relatiohip betwee the frequec ditributio of oe (depedet) variable ad aother (idepedet) variable() which i (are) held fied

More information

Erick L. Oberstar Fall 2001 Project: Sidelobe Canceller & GSC 1. Advanced Digital Signal Processing Sidelobe Canceller (Beam Former)

Erick L. Oberstar Fall 2001 Project: Sidelobe Canceller & GSC 1. Advanced Digital Signal Processing Sidelobe Canceller (Beam Former) Erick L. Obertar Fall 001 Project: Sidelobe Caceller & GSC 1 Advaced Digital Sigal Proceig Sidelobe Caceller (Beam Former) Erick L. Obertar 001 Erick L. Obertar Fall 001 Project: Sidelobe Caceller & GSC

More information

The Extended Balanced Truncation Algorithm

The Extended Balanced Truncation Algorithm International Journal of Coputing and Optiization Vol. 3, 2016, no. 1, 71-82 HIKARI Ltd, www.-hikari.co http://dx.doi.org/10.12988/ijco.2016.635 The Extended Balanced Truncation Algorith Cong Huu Nguyen

More information

Lecture Outline. 2 Separating Hyperplanes. 3 Banach Mazur Distance An Algorithmist s Toolkit October 22, 2009

Lecture Outline. 2 Separating Hyperplanes. 3 Banach Mazur Distance An Algorithmist s Toolkit October 22, 2009 18.409 A Algorithist s Toolkit October, 009 Lecture 1 Lecturer: Joatha Keler Scribes: Alex Levi (009) 1 Outlie Today we ll go over soe of the details fro last class ad ake precise ay details that were

More information

A GENERALIZED BERNSTEIN APPROXIMATION THEOREM

A GENERALIZED BERNSTEIN APPROXIMATION THEOREM Ø Ñ Å Ø Ñ Ø Ð ÈÙ Ð Ø ÓÒ DOI: 10.2478/v10127-011-0029-x Tatra Mt. Math. Publ. 49 2011, 99 109 A GENERALIZED BERNSTEIN APPROXIMATION THEOREM Miloslav Duchoň ABSTRACT. The preset paper is cocered with soe

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 16 11/04/2013. Ito integral. Properties

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 16 11/04/2013. Ito integral. Properties MASSACHUSES INSIUE OF ECHNOLOGY 6.65/15.7J Fall 13 Lecture 16 11/4/13 Ito itegral. Propertie Cotet. 1. Defiitio of Ito itegral. Propertie of Ito itegral 1 Ito itegral. Exitece We cotiue with the cotructio

More information

PAijpam.eu ON TENSOR PRODUCT DECOMPOSITION

PAijpam.eu ON TENSOR PRODUCT DECOMPOSITION Iteratioal Joural of Pure ad Applied Mathematics Volume 103 No 3 2015, 537-545 ISSN: 1311-8080 (prited versio); ISSN: 1314-3395 (o-lie versio) url: http://wwwijpameu doi: http://dxdoiorg/1012732/ijpamv103i314

More information

Fractional Integral Operator and Olsen Inequality in the Non-Homogeneous Classic Morrey Space

Fractional Integral Operator and Olsen Inequality in the Non-Homogeneous Classic Morrey Space It Joural of Math Aalyi, Vol 6, 202, o 3, 50-5 Fractioal Itegral Oerator ad Ole Ieuality i the No-Homogeeou Claic Morrey Sace Mohammad Imam Utoyo Deartmet of Mathematic Airlagga Uiverity, Camu C, Mulyorejo

More information

CHAPTER 1: PEREVIEW. 1. Nature of Process Control Problem CLIENT HARDWARE. LEVEL-6 Planning. LEVEL-5 Scheduling. LEVEL-4 Real-Time Optimization

CHAPTER 1: PEREVIEW. 1. Nature of Process Control Problem CLIENT HARDWARE. LEVEL-6 Planning. LEVEL-5 Scheduling. LEVEL-4 Real-Time Optimization CHPER : PEREVIEW. Nature o Proe Cotrol Proble CLIEN IMERME CIVIY HRDWRE Upper level aageet Week-Mot LEVEL-6 Plaig Corporate oplex etwork Plat ager Da-Week LEVEL-5 Sedulig Platwide Ioratio te Proe Egieer

More information

Introduction to Control Systems

Introduction to Control Systems Itroductio to Cotrol Sytem CLASSIFICATION OF MATHEMATICAL MODELS Icreaig Eae of Aalyi Static Icreaig Realim Dyamic Determiitic Stochatic Lumped Parameter Ditributed Parameter Liear Noliear Cotat Coefficiet

More information

Lecture 19. Curve fitting I. 1 Introduction. 2 Fitting a constant to measured data

Lecture 19. Curve fitting I. 1 Introduction. 2 Fitting a constant to measured data Lecture 9 Curve fittig I Itroductio Suppose we are preseted with eight poits of easured data (x i, y j ). As show i Fig. o the left, we could represet the uderlyig fuctio of which these data are saples

More information

ECE 422 Power System Operations & Planning 6 Small Signal Stability. Spring 2015 Instructor: Kai Sun

ECE 422 Power System Operations & Planning 6 Small Signal Stability. Spring 2015 Instructor: Kai Sun ECE 4 Power Sytem Operatio & Plaig 6 Small Sigal Stability Sprig 15 Itructor: Kai Su 1 Referece Saadat Chapter 11.4 EPRI Tutorial Chapter 8 Power Ocillatio Kudur Chapter 1 Power Ocillatio The power ytem

More information

Binomial transform of products

Binomial transform of products Jauary 02 207 Bioial trasfor of products Khristo N Boyadzhiev Departet of Matheatics ad Statistics Ohio Norther Uiversity Ada OH 4580 USA -boyadzhiev@ouedu Abstract Give the bioial trasfors { b } ad {

More information

Explicit scheme. Fully implicit scheme Notes. Fully implicit scheme Notes. Fully implicit scheme Notes. Notes

Explicit scheme. Fully implicit scheme Notes. Fully implicit scheme Notes. Fully implicit scheme Notes. Notes Explicit cheme So far coidered a fully explicit cheme to umerically olve the diffuio equatio: T + = ( )T + (T+ + T ) () with = κ ( x) Oly table for < / Thi cheme i ometime referred to a FTCS (forward time

More information

Theorem: Let A n n. In this case that A does reduce to I, we search for A 1 as the solution matrix X to the matrix equation A X = I i.e.

Theorem: Let A n n. In this case that A does reduce to I, we search for A 1 as the solution matrix X to the matrix equation A X = I i.e. Theorem: Let A be a square matrix The A has a iverse matrix if ad oly if its reduced row echelo form is the idetity I this case the algorithm illustrated o the previous page will always yield the iverse

More information

Lecture 20 - Wave Propagation Response

Lecture 20 - Wave Propagation Response .09/.093 Fiite Eleet Aalysis of Solids & Fluids I Fall 09 Lecture 0 - Wave Propagatio Respose Prof. K. J. Bathe MIT OpeCourseWare Quiz #: Closed book, 6 pages of otes, o calculators. Covers all aterials

More information

, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx)

, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx) Cosider the differetial equatio y '' k y 0 has particular solutios y1 si( kx) ad y cos( kx) I geeral, ay liear combiatio of y1 ad y, cy 1 1 cy where c1, c is also a solutio to the equatio above The reaso

More information