Sliding Mode Indicator Model s at Thermal Control System for Furnace

Size: px
Start display at page:

Download "Sliding Mode Indicator Model s at Thermal Control System for Furnace"

Transcription

1 Proceedigs of the 7th World Cogress The Iteratioal Federatio of Automatic Cotrol Slidig Mode Idicator Model s at Thermal Cotrol System for Furace Varda Mkrttchia*, Sargis Simoya**, Aa Khachaturova***, Hasmik Yeraosya**** *All Armeia Iteret Uiversity, Sydey, P.O.Box 965, NSW 66, Australia (Tel: ; aaiu@optuset.com.au). **State Egieerig Uiversity of Armeia, Yereva, Armeia, ( ssimoya@seua.am) *** Istitute for Physical Research of NAS of Armeia,, Ashtarak-, Armeia, ( khaa@ipr.sci.am) **** PhD Departmet of All Armeia Iteret Uiversity, Yereva, Armeia, ( hhhui@freeet.am) Abstract: This paper discusses ad deals the developmet of the Slidig Mode Cotrol Idicator with the usig techique of Discotiuous Cotrol for furace i Laser Physics. To improve efficiecy of practical implemetatio, the furace cotrol system is regarded as electroic elemets havig a discotiuityswitchig mode where the slidig modes are the basic motios. Implemetatio of this approach implies the kowledge of the coditios of the occurrece of slidig mode, for which purpose a slidig mode idicator hardware ad model has bee developed by meas the LabView graphical programmig laguage uder Widows eviromet. INTRODUCTION Furace cotrol i laser physics ca be difficult, due to their itrisic oliearity. I fact, cotrol should esure system stability i ay operatig coditio ad good static ad dyamic performaces i terms of rejectio of iput voltage disturbaces ad effects of load chages (output impedece). These characteristics, of course, should be maitaied i spite of large iput voltage, output curret, ad eve parameter variatios (robustess). Cotrol withi slidig mode (SM) eables us to decrease the sesitivity to variatios of chip characteristics makig them idepedet upo the eviromet. These features make this cotrol techique a valid alterative to stadard cotrol approaches like curret-mode cotrol. The block-diagram of cotrol system with Idicator of Slidig Mode is show o Figure, where - is the error of cotrol sigal (Mkrttchia, 7). From the poit of view of mathematics, the problem may be reduced to that of fidig the area of attractio to the maifold of the discotiuity surfaces itersectio. I the described algorithm, a ew compoet called Slidig Mode Idicator is proposed. This block detects the occurrece of SM i the system. If the SM does ot occur, the idicator block deliberately geerates the SM i the system (Mkrttchia, 999-7). Ufortuately by use this desig result for chip desig eeds some developmet process ad desig ew Idicator diagram. Cotrol withi slidig mode eables us to decrease the sesitivity to variatios of chip characteristics makig them idepedet upo the eviromet. The metioed problems ca be overcome by usig asymptotic observers of state ad aticipatory devices elimiatig delays. Discotiuity of cotrol results i a discotiuity of the right-had parts of the differetial equatios describig the system s dyamic properties. Deliberate itroductio of objects ito the slidig-mode operatio will ecessitate a cotiuous moitorig of the slidig-mode occurrece ad stability (Utki, 98). Our purpose is to achieve a model suitable for the use with all types of solutio simulatio. Therefore it should be preseted as a simple equivalet circuit. The circuit elemets are derived from physical cocepts, which are more ofte tha ot lost wheever a complex model for a solutio is extracted from a optimizatio model. For the Fiite Differece Time Domai computatio of the object ports are defied o the coaxial lies as it is used i most simulators by observig wave ratios. The ports for solutio's equivalet circuit are cocetrated or iteral ports defied by voltage ad curret. The resultig S-parameters of the ports are used to extract equivalet circuit elemets leadig to well defied values with physical seses. The essetial compoets of the solutio model are the slidig-mode idicator, observer ad the aticipatory device. As already oted, the approach used is orieted toward a deliberate itroductio of slidig modes over the itersectio of surfaces o which the cotrol vector compoets udergo discotiuity. Realizatio of such a approach implies the kowledge of the coditios of the occurrece of slidig mode. Desiged for this purpose was the idicator of slidig /8/$ 8 IFAC 59.38/876-5-KR-.6

2 7th IFAC World Cogress (IFAC'8) modes. From the poit of view of mathematics, the problem may be reduced to that of fidig the area of attractio to the maifold of the discotiuity surfaces itersectio (Dubrovsky ad Kortev, 968). O the idicator iput, two sigals x ad g from the equivalet circuit are supplied. Furace Logic-switchig block. DEVELOPMENT OF SLIDING MODE INDICATOR The desiged algorithm of slidig mode idicator based o Lab View programmig is show i Fig.. Y sp + - Y E p p E С С + + g( Slidig Mode Idicator Switchig fuctio former e ( g( g( o yes Alarm mode, chagig cotrol value from М to М. +M -M X ( t ) Object of cotrol Fig.. Block-diagram of cotrol system with Idicator of Slidig Mode The idicator compares two sigals recordig the momet of chagig the sigs of fuctio t ) ad g (, see (). g ) ( t ) C t C de dt () where g( - is fuctio of idicator; - is the error sigal. I () C ad C is costat of object cotrol; g is fuctio of switchig; x is system parameter, t is time. The rule of chagig of cotrol fuctio is where K, K K... if... g( U ( () K... if... g( - fixed parameters of regulator; The goal is to fid the coefficiets for a switchig equatio of a first order lag temperature system ad the associated temperature system. The temperature sesor should be placed so it respods to chages i the actual temperature as quickly as possible. This reduces the sesor time costat. I a perfect world there would be o differece betwee the actual ad measured temperature. I this case oe could simply switch o ad off the heater at the set poit. I the real world there is a lag i the sesor respose. If oe were to switch the output usig the measured temperature without takig ito accout the sesor lag, the actual temperature would oscillate aroud the set poit. To compesate for the sesor lag we must take ito accout sesor time costat Fig.. Algorithm of developmet slidig mode idicator 3. DEVELOPMENT OF CONSTRUCTION PROCESS OF SM EXISTENCE REGION S As it kow, the motio of the system operatig i the slidig surface is ivariat to disturbaces, parameter ucertaities, couplig betwee chaels, ad oliearities see i the system. The costat coefficiets Ci of the slidig surface boudary described by (Mkrttchia, 999-7) are chose to provide the output trackig motio i slidig mode. This is accomplished through costructio of SM existece regio ad choosig the coefficiets Ci from the regio. The graphic developmet method of costructio of SM existece regio is give o Figure 3. F(p) Ã K p * L F(M) -6 F(p) Y, Fig. 3. The developmet SM existece regio for furace cotrol system O N x, p O,O Ã x, F(M) Ý 6

3 7th IFAC World Cogress (IFAC'8) The output sigals of Slidig mode idicator are show o Figure. I case of (a) the slidig mode occur i system; i case of (b) the system is out of slidig mode regio; i case of (c) the system is deliberately itroduced o slidig mode by chagig of cotrol value from M to M. 4. SYSTEM MODELING WITH SLIDING MODE The goal is to fid the coefficiets for a switchig equatio of a first order lag temperature system ad the associated temperature system. The temperature sesor should be placed so it respods to chages i the actual temperature as quickly as possible. This reduces the sesor time costat. I a perfect world there would be o differece betwee the actual ad measured temperature. I this case oe could simply switch o ad off the heater at the set poit. I the real world there is a lag i the sesor respose. If oe were to switch the output usig the measured temperature without takig ito accout the sesor lag, the actual temperature would oscillate aroud the set poit. To compesate for the sesor lag we must take ito accout sesor time costat ad estimate how fast the error betwee the set poit ad measured temperature chagig. This results i the slidig mode equatio give below with e beig the error betwee the set poit ad the measured temperature. If s> the the heater is tured o otherwise the heater is tured off. s( t ) st ) t ) The followig parameters of the plat were cosidered: G = 3.69 Plat gai i degrees per % cotrol p = 3.4 Plat time costat i miutes s = Sesor time costat i miutes T = /6 Update period i miutes. Update more ofte for less ripple i the PV. T a = 5 Ambiet temperature. Coefficiets for the simulator are as follows. A p T exp A p =.995 p B p = (-A p ) B p = 4.876* -3 T A s = exp A s =.983 s B s = - A s B s = 7 Now covert the SMC equatio to a form that ca be used by a computer. eis roughly equal to (e[]-e[-])/t. The resultig equatio is: ee s s e T Igorig scale, this simplifies to: s T s s s T s C * e[ ] e [ ] * ee. Lettig С= the equatio simplifies to ad we have С=,7. s. 5. SIMULATION USING A SYSTEM OF DIFFERENCE EQUATIONS The first equatio calculates the actual temperature. Notice that it uses the cotrol output from the iteratio before. The secod equatio calculates the measured temperature usig the sesor time costat. The ambiet temperature is take ito accout so the temperature ca decay dow to the ambiet temperature ad ot. The third equatio just calculates the error. The fourth equatio is the equatio that does the slidig mode cotrol. Notice that the cotrol output is either fully o (%) or off. There is o i betwee. x y e u A p ( x T a ) T ag * Bp * u A s ( y T a ) T ab s ( xt a ) ry... if...( C * ee )... otherwise 4. EXPERIMENTAL RESULTS, where x - is actual temperature i the plat differece equatio; y - is the measured temperature i the sesor differece equatio; e error sigal, Error = SP- PV; Slidig Mode Cotrol. s s * e ' e. If s>, the tur o the heater else tur it off. The cotrol system icludes: ove with a heater ad a thermocouple; a amplifier that has sufficiet gai (k=) so as to provide the rage of voltage eeded; the PC hardware; voltage-cotrolled power supply for the ove heater. Software support is provided by the desiged cotroller program writte i the LabView programmig laguage eviromet. The DAQ board measures output from the operatioal amplifier. The voltage from the PC hardware is the cotrol sigal that will tur ON or OFF the heatig elemet to keep temperature set programmatically ad maitai the slidig mode. The model arragemet icludig the ove used i real experimet was allowed to achieve stability of ~ C. 6

4 7th IFAC World Cogress (IFAC'8) 5. CONCLUSIONS This paper formulates usig the methods of slidig mode cotrol. The Slidig Mode Idicator is desiged based o results obtaied i the sphere of discotiuous system desig. The experimetal results of applyig the desiged Slidig Mode Idicator illustrated the improvemet of the achieved performace applied to the furace cotrol system desig applicatio i Laser Physics. A additioal compoet of the slidig mode cotrol system the slidig mode idicator is proposed i the paper. The SM idicator allows for moitorig the existece of SM i the system ad eforcig the SM via modificatio of the parameters if the SM fails. The applicatio of the slidig mode idicator is demostrated o the cotrol system for furace i laser physics. Ñèãíàë óïðàâëåíèÿ Cotrol sigal Ñêîëüçÿùàÿ Slidig mode ïîâåðõíîñòü, surface S a) à) Number Êîëè åñòâî of poits òî åê S = Ñèãíàë óïðàâëåíèÿ Cotrol sigal Ñèãíàë Cotrol óïðàâëåíèÿ sigal Slidig Ñêîëüçÿùàÿ mode ïîâåðõíîñòü, surface S Ñêîëüçÿùàÿ ïîâåðõíîñòü, S Slidig mode surface á) b) c) Number of poits Êîëè åñòâî òî åê ñ) Êîëè åñòâî òî åê Number of poits 6 Fig. 4. The output sigal of developmet SM Idicator REFERENCES Basi, M.V. et al. (4). Robust itegral slidig mode regulator with delayed cotrol iput. Proceedigs of the III Iteratioal coferece o System Idetificatio ad Cotrol Problems, SICPRO 4, Moscow,

5 7th IFAC World Cogress (IFAC'8) Dubrovsky, E.N. ad A.V. Kortev (968). Adaptive variable structure systems of automatic cotrol with bouded cotrol actio. I: Variable structure systems ad their applicatio i problems of flight automatio (B.N. Petrov ad S.V. Emelyaov. (Ed.)), Nauka, Moscow. Mkrttchia, V.S. (999). Special-Purpose Devices Usig Techiques of Discotiuous Cotrol ad Settig Adjustmet (DC & SA) i Cotrol Applicatios. Proceedigs of the 999 IEEE Iteratioal Coferece o Cotrol Applicatios, Kohala Coast-Islad of Hawai I, Hawaii s, USA, Mkrttchia, V.S. ad A.A. Khachaturova (4). Slidig mode cotrol system for laser spectroscopy of alkali metal vapours. Proceedigs of the III Iteratioal coferece o System Idetificatio ad Cotrol Problems, SICPRO 4, Moscow, Mkrttchia, V.S. ad Khachaturova (5). Slidig Mode Thermal Cotrol System for Furace i Laser Physics". Proceedigs of the 6th IFAC World Cogress, Praha, 5, pp Mkrttchia, V.S. ad Boiko (7). Desig of Slidig Mode Idicator. Proceedigs of the America Cotrol Coferece. ACC 7. New York, Utki, V.A. ad A. V. Utki (4). Idetificatio liear system via slidig mode techique. Proceedigs of the III Iteratioal coferece o System Idetificatio ad Cotrol Problems, SICPRO 4, Moscow, Utki, V.I. (98). Slidig Modes i Problems of Cotrol ad Optimizatio (i Russia), Nauka, Moscow. 63

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution EEL5: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we begi our mathematical treatmet of discrete-time s. As show i Figure, a discrete-time operates or trasforms some iput sequece x [

More information

Time-Domain Representations of LTI Systems

Time-Domain Representations of LTI Systems 2.1 Itroductio Objectives: 1. Impulse resposes of LTI systems 2. Liear costat-coefficiets differetial or differece equatios of LTI systems 3. Bloc diagram represetatios of LTI systems 4. State-variable

More information

OBJECTIVES. Chapter 1 INTRODUCTION TO INSTRUMENTATION FUNCTION AND ADVANTAGES INTRODUCTION. At the end of this chapter, students should be able to:

OBJECTIVES. Chapter 1 INTRODUCTION TO INSTRUMENTATION FUNCTION AND ADVANTAGES INTRODUCTION. At the end of this chapter, students should be able to: OBJECTIVES Chapter 1 INTRODUCTION TO INSTRUMENTATION At the ed of this chapter, studets should be able to: 1. Explai the static ad dyamic characteristics of a istrumet. 2. Calculate ad aalyze the measuremet

More information

Stability Analysis and Bifurcation Control of Hysteresis Current Controlled Ćuk Converter Using Filippov s Method

Stability Analysis and Bifurcation Control of Hysteresis Current Controlled Ćuk Converter Using Filippov s Method Stability Aalysis ad Bifurcatio otrol of Hysteresis urret otrolled Ću overter Usig Filippov s Method I. Daho*, D. Giaouris * (Member IE, B. Zahawi*(Member IE, V. Picer*(Member IE ad S. Baerjee** *School

More information

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall Iteratioal Mathematical Forum, Vol. 9, 04, o. 3, 465-475 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/0.988/imf.04.48 Similarity Solutios to Usteady Pseudoplastic Flow Near a Movig Wall W. Robi Egieerig

More information

μ are complex parameters. Other

μ are complex parameters. Other A New Numerical Itegrator for the Solutio of Iitial Value Problems i Ordiary Differetial Equatios. J. Suday * ad M.R. Odekule Departmet of Mathematical Scieces, Adamawa State Uiversity, Mubi, Nigeria.

More information

AN OPEN-PLUS-CLOSED-LOOP APPROACH TO SYNCHRONIZATION OF CHAOTIC AND HYPERCHAOTIC MAPS

AN OPEN-PLUS-CLOSED-LOOP APPROACH TO SYNCHRONIZATION OF CHAOTIC AND HYPERCHAOTIC MAPS http://www.paper.edu.c Iteratioal Joural of Bifurcatio ad Chaos, Vol. 1, No. 5 () 119 15 c World Scietific Publishig Compay AN OPEN-PLUS-CLOSED-LOOP APPROACH TO SYNCHRONIZATION OF CHAOTIC AND HYPERCHAOTIC

More information

DECOMPOSITION METHOD FOR SOLVING A SYSTEM OF THIRD-ORDER BOUNDARY VALUE PROBLEMS. Park Road, Islamabad, Pakistan

DECOMPOSITION METHOD FOR SOLVING A SYSTEM OF THIRD-ORDER BOUNDARY VALUE PROBLEMS. Park Road, Islamabad, Pakistan Mathematical ad Computatioal Applicatios, Vol. 9, No. 3, pp. 30-40, 04 DECOMPOSITION METHOD FOR SOLVING A SYSTEM OF THIRD-ORDER BOUNDARY VALUE PROBLEMS Muhammad Aslam Noor, Khalida Iayat Noor ad Asif Waheed

More information

DETERMINATION OF MECHANICAL PROPERTIES OF A NON- UNIFORM BEAM USING THE MEASUREMENT OF THE EXCITED LONGITUDINAL ELASTIC VIBRATIONS.

DETERMINATION OF MECHANICAL PROPERTIES OF A NON- UNIFORM BEAM USING THE MEASUREMENT OF THE EXCITED LONGITUDINAL ELASTIC VIBRATIONS. ICSV4 Cairs Australia 9- July 7 DTRMINATION OF MCHANICAL PROPRTIS OF A NON- UNIFORM BAM USING TH MASURMNT OF TH XCITD LONGITUDINAL LASTIC VIBRATIONS Pavel Aokhi ad Vladimir Gordo Departmet of the mathematics

More information

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering CEE 5 Autum 005 Ucertaity Cocepts for Geotechical Egieerig Basic Termiology Set A set is a collectio of (mutually exclusive) objects or evets. The sample space is the (collectively exhaustive) collectio

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

Definitions and Theorems. where x are the decision variables. c, b, and a are constant coefficients.

Definitions and Theorems. where x are the decision variables. c, b, and a are constant coefficients. Defiitios ad Theorems Remember the scalar form of the liear programmig problem, Miimize, Subject to, f(x) = c i x i a 1i x i = b 1 a mi x i = b m x i 0 i = 1,2,, where x are the decisio variables. c, b,

More information

REGRESSION (Physics 1210 Notes, Partial Modified Appendix A)

REGRESSION (Physics 1210 Notes, Partial Modified Appendix A) REGRESSION (Physics 0 Notes, Partial Modified Appedix A) HOW TO PERFORM A LINEAR REGRESSION Cosider the followig data poits ad their graph (Table I ad Figure ): X Y 0 3 5 3 7 4 9 5 Table : Example Data

More information

ECE 308 Discrete-Time Signals and Systems

ECE 308 Discrete-Time Signals and Systems ECE 38-5 ECE 38 Discrete-Time Sigals ad Systems Z. Aliyazicioglu Electrical ad Computer Egieerig Departmet Cal Poly Pomoa ECE 38-5 1 Additio, Multiplicatio, ad Scalig of Sequeces Amplitude Scalig: (A Costat

More information

PC5215 Numerical Recipes with Applications - Review Problems

PC5215 Numerical Recipes with Applications - Review Problems PC55 Numerical Recipes with Applicatios - Review Problems Give the IEEE 754 sigle precisio bit patter (biary or he format) of the followig umbers: 0 0 05 00 0 00 Note that it has 8 bits for the epoet,

More information

Integer Linear Programming

Integer Linear Programming Iteger Liear Programmig Itroductio Iteger L P problem (P) Mi = s. t. a = b i =,, m = i i 0, iteger =,, c Eemple Mi z = 5 s. t. + 0 0, 0, iteger F(P) = feasible domai of P Itroductio Iteger L P problem

More information

Lecture 19: Convergence

Lecture 19: Convergence Lecture 19: Covergece Asymptotic approach I statistical aalysis or iferece, a key to the success of fidig a good procedure is beig able to fid some momets ad/or distributios of various statistics. I may

More information

Chapter 4 : Laplace Transform

Chapter 4 : Laplace Transform 4. Itroductio Laplace trasform is a alterative to solve the differetial equatio by the complex frequecy domai ( s = σ + jω), istead of the usual time domai. The DE ca be easily trasformed ito a algebraic

More information

Math 312 Lecture Notes One Dimensional Maps

Math 312 Lecture Notes One Dimensional Maps Math 312 Lecture Notes Oe Dimesioal Maps Warre Weckesser Departmet of Mathematics Colgate Uiversity 21-23 February 25 A Example We begi with the simplest model of populatio growth. Suppose, for example,

More information

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations ECE-S352 Itroductio to Digital Sigal Processig Lecture 3A Direct Solutio of Differece Equatios Discrete Time Systems Described by Differece Equatios Uit impulse (sample) respose h() of a DT system allows

More information

Teaching Mathematics Concepts via Computer Algebra Systems

Teaching Mathematics Concepts via Computer Algebra Systems Iteratioal Joural of Mathematics ad Statistics Ivetio (IJMSI) E-ISSN: 4767 P-ISSN: - 4759 Volume 4 Issue 7 September. 6 PP-- Teachig Mathematics Cocepts via Computer Algebra Systems Osama Ajami Rashaw,

More information

IP Reference guide for integer programming formulations.

IP Reference guide for integer programming formulations. IP Referece guide for iteger programmig formulatios. by James B. Orli for 15.053 ad 15.058 This documet is iteded as a compact (or relatively compact) guide to the formulatio of iteger programs. For more

More information

Chapter 7: The z-transform. Chih-Wei Liu

Chapter 7: The z-transform. Chih-Wei Liu Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability

More information

Signals & Systems Chapter3

Signals & Systems Chapter3 Sigals & Systems Chapter3 1.2 Discrete-Time (D-T) Sigals Electroic systems do most of the processig of a sigal usig a computer. A computer ca t directly process a C-T sigal but istead eeds a stream of

More information

Optimization Methods MIT 2.098/6.255/ Final exam

Optimization Methods MIT 2.098/6.255/ Final exam Optimizatio Methods MIT 2.098/6.255/15.093 Fial exam Date Give: December 19th, 2006 P1. [30 pts] Classify the followig statemets as true or false. All aswers must be well-justified, either through a short

More information

Most text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t

Most text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t Itroductio to Differetial Equatios Defiitios ad Termiolog Differetial Equatio: A equatio cotaiig the derivatives of oe or more depedet variables, with respect to oe or more idepedet variables, is said

More information

Numerical Solution of the Two Point Boundary Value Problems By Using Wavelet Bases of Hermite Cubic Spline Wavelets

Numerical Solution of the Two Point Boundary Value Problems By Using Wavelet Bases of Hermite Cubic Spline Wavelets Australia Joural of Basic ad Applied Scieces, 5(): 98-5, ISSN 99-878 Numerical Solutio of the Two Poit Boudary Value Problems By Usig Wavelet Bases of Hermite Cubic Splie Wavelets Mehdi Yousefi, Hesam-Aldie

More information

Measurement uncertainty of the sound absorption

Measurement uncertainty of the sound absorption Measuremet ucertaity of the soud absorptio coefficiet Aa Izewska Buildig Research Istitute, Filtrowa Str., 00-6 Warsaw, Polad a.izewska@itb.pl 6887 The stadard ISO/IEC 705:005 o the competece of testig

More information

Enterprise interoperability measurement - Basic concepts

Enterprise interoperability measurement - Basic concepts Eterprise iteroperability measuremet - Basic cocepts Nicolas Dacli, David Che, Bruo Vallespir LAPS/GRAI, Uiversity Bordeaux 1, ENSEIRB, UMR 5131 CNRS, 351 cours de la Libératio, 33405 Talece Cedex, Frace

More information

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence Chapter 3 Strog covergece As poited out i the Chapter 2, there are multiple ways to defie the otio of covergece of a sequece of radom variables. That chapter defied covergece i probability, covergece i

More information

CHAPTER 5. Theory and Solution Using Matrix Techniques

CHAPTER 5. Theory and Solution Using Matrix Techniques A SERIES OF CLASS NOTES FOR 2005-2006 TO INTRODUCE LINEAR AND NONLINEAR PROBLEMS TO ENGINEERS, SCIENTISTS, AND APPLIED MATHEMATICIANS DE CLASS NOTES 3 A COLLECTION OF HANDOUTS ON SYSTEMS OF ORDINARY DIFFERENTIAL

More information

Discrete-Time Signals and Systems. Discrete-Time Signals and Systems. Signal Symmetry. Elementary Discrete-Time Signals.

Discrete-Time Signals and Systems. Discrete-Time Signals and Systems. Signal Symmetry. Elementary Discrete-Time Signals. Discrete-ime Sigals ad Systems Discrete-ime Sigals ad Systems Dr. Deepa Kudur Uiversity of oroto Referece: Sectios. -.5 of Joh G. Proakis ad Dimitris G. Maolakis, Digital Sigal Processig: Priciples, Algorithms,

More information

Course Outline. Designing Control Systems. Proportional Controller. Amme 3500 : System Dynamics and Control. Root Locus. Dr. Stefan B.

Course Outline. Designing Control Systems. Proportional Controller. Amme 3500 : System Dynamics and Control. Root Locus. Dr. Stefan B. Amme 3500 : System Dyamics ad Cotrol Root Locus Course Outlie Week Date Cotet Assigmet Notes Mar Itroductio 8 Mar Frequecy Domai Modellig 3 5 Mar Trasiet Performace ad the s-plae 4 Mar Block Diagrams Assig

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

ANALYSIS OF EXPERIMENTAL ERRORS

ANALYSIS OF EXPERIMENTAL ERRORS ANALYSIS OF EXPERIMENTAL ERRORS All physical measuremets ecoutered i the verificatio of physics theories ad cocepts are subject to ucertaities that deped o the measurig istrumets used ad the coditios uder

More information

Sliding-Mode Controller Design with Internal Model Principle for Systems Subject to Periodic Signals

Sliding-Mode Controller Design with Internal Model Principle for Systems Subject to Periodic Signals Slidig-Mode Cotroller Desig with Iteral Model Priciple for Systems Subect to Periodic Sigals Yu-Sheg Lu S Abstract This paper proposes a slidig-mode cotrol (SMC) scheme based o the iteral model priciple

More information

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES Read Sectio 1.5 (pages 5 9) Overview I Sectio 1.5 we lear to work with summatio otatio ad formulas. We will also itroduce a brief overview of sequeces,

More information

Chapter 9 - CD companion 1. A Generic Implementation; The Common-Merge Amplifier. 1 τ is. ω ch. τ io

Chapter 9 - CD companion 1. A Generic Implementation; The Common-Merge Amplifier. 1 τ is. ω ch. τ io Chapter 9 - CD compaio CHAPTER NINE CD-9.2 CD-9.2. Stages With Voltage ad Curret Gai A Geeric Implemetatio; The Commo-Merge Amplifier The advaced method preseted i the text for approximatig cutoff frequecies

More information

ROBUST ATTITUDE DETERMINATION AND CONTROL SYSTEM OF MICROSATELLITE. Principle of the control system construction

ROBUST ATTITUDE DETERMINATION AND CONTROL SYSTEM OF MICROSATELLITE. Principle of the control system construction 30 UDC: 629.783 О. V. Zbrutsk, О. М. Мelascheko, L. М. Rhkov ROUS AIUDE DEERMINAION AND CONROL SYSEM OF MICROSAELLIE Itroductio Improvemet of microsatellite cotrol motio is carried out after a few basic

More information

11 Hidden Markov Models

11 Hidden Markov Models Hidde Markov Models Hidde Markov Models are a popular machie learig approach i bioiformatics. Machie learig algorithms are preseted with traiig data, which are used to derive importat isights about the

More information

Introduction to Signals and Systems, Part V: Lecture Summary

Introduction to Signals and Systems, Part V: Lecture Summary EEL33: Discrete-Time Sigals ad Systems Itroductio to Sigals ad Systems, Part V: Lecture Summary Itroductio to Sigals ad Systems, Part V: Lecture Summary So far we have oly looked at examples of o-recursive

More information

EE260: Digital Design, Spring n Binary Addition. n Complement forms. n Subtraction. n Multiplication. n Inputs: A 0, B 0. n Boolean equations:

EE260: Digital Design, Spring n Binary Addition. n Complement forms. n Subtraction. n Multiplication. n Inputs: A 0, B 0. n Boolean equations: EE260: Digital Desig, Sprig 2018 EE 260: Itroductio to Digital Desig Arithmetic Biary Additio Complemet forms Subtractio Multiplicatio Overview Yao Zheg Departmet of Electrical Egieerig Uiversity of Hawaiʻi

More information

September 2012 C1 Note. C1 Notes (Edexcel) Copyright - For AS, A2 notes and IGCSE / GCSE worksheets 1

September 2012 C1 Note. C1 Notes (Edexcel) Copyright   - For AS, A2 notes and IGCSE / GCSE worksheets 1 September 0 s (Edecel) Copyright www.pgmaths.co.uk - For AS, A otes ad IGCSE / GCSE worksheets September 0 Copyright www.pgmaths.co.uk - For AS, A otes ad IGCSE / GCSE worksheets September 0 Copyright

More information

We are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n

We are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n Review of Power Series, Power Series Solutios A power series i x - a is a ifiite series of the form c (x a) =c +c (x a)+(x a) +... We also call this a power series cetered at a. Ex. (x+) is cetered at

More information

ME NUMERICAL METHODS Fall 2007

ME NUMERICAL METHODS Fall 2007 ME - 310 NUMERICAL METHODS Fall 2007 Group 02 Istructor: Prof. Dr. Eres Söylemez (Rm C205, email:eres@metu.edu.tr ) Class Hours ad Room: Moday 13:40-15:30 Rm: B101 Wedesday 12:40-13:30 Rm: B103 Course

More information

Lesson 10: Limits and Continuity

Lesson 10: Limits and Continuity www.scimsacademy.com Lesso 10: Limits ad Cotiuity SCIMS Academy 1 Limit of a fuctio The cocept of limit of a fuctio is cetral to all other cocepts i calculus (like cotiuity, derivative, defiite itegrals

More information

The Growth of Functions. Theoretical Supplement

The Growth of Functions. Theoretical Supplement The Growth of Fuctios Theoretical Supplemet The Triagle Iequality The triagle iequality is a algebraic tool that is ofte useful i maipulatig absolute values of fuctios. The triagle iequality says that

More information

Using Spreadsheets as a Computational Tool in Teaching Mechanical. Engineering

Using Spreadsheets as a Computational Tool in Teaching Mechanical. Engineering Proceedigs of the th WSEAS Iteratioal Coferece o COMPUTERS, Vouliagmei, Athes, Greece, July 3-5, 6 (pp35-3) Usig Spreadsheets as a Computatioal Tool i Teachig Mechaical Egieerig AHMADI-BROOGHANI, ZAHRA

More information

3.2 Properties of Division 3.3 Zeros of Polynomials 3.4 Complex and Rational Zeros of Polynomials

3.2 Properties of Division 3.3 Zeros of Polynomials 3.4 Complex and Rational Zeros of Polynomials Math 60 www.timetodare.com 3. Properties of Divisio 3.3 Zeros of Polyomials 3.4 Complex ad Ratioal Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered

More information

TEACHER CERTIFICATION STUDY GUIDE

TEACHER CERTIFICATION STUDY GUIDE COMPETENCY 1. ALGEBRA SKILL 1.1 1.1a. ALGEBRAIC STRUCTURES Kow why the real ad complex umbers are each a field, ad that particular rigs are ot fields (e.g., itegers, polyomial rigs, matrix rigs) Algebra

More information

Machine Learning Brett Bernstein

Machine Learning Brett Bernstein Machie Learig Brett Berstei Week 2 Lecture: Cocept Check Exercises Starred problems are optioal. Excess Risk Decompositio 1. Let X = Y = {1, 2,..., 10}, A = {1,..., 10, 11} ad suppose the data distributio

More information

Lecture Notes for Analysis Class

Lecture Notes for Analysis Class Lecture Notes for Aalysis Class Topological Spaces A topology for a set X is a collectio T of subsets of X such that: (a) X ad the empty set are i T (b) Uios of elemets of T are i T (c) Fiite itersectios

More information

Singular Continuous Measures by Michael Pejic 5/14/10

Singular Continuous Measures by Michael Pejic 5/14/10 Sigular Cotiuous Measures by Michael Peic 5/4/0 Prelimiaries Give a set X, a σ-algebra o X is a collectio of subsets of X that cotais X ad ad is closed uder complemetatio ad coutable uios hece, coutable

More information

Linear Regression Demystified

Linear Regression Demystified Liear Regressio Demystified Liear regressio is a importat subject i statistics. I elemetary statistics courses, formulae related to liear regressio are ofte stated without derivatio. This ote iteds to

More information

THE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0.

THE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0. THE SOLUTION OF NONLINEAR EQUATIONS f( ) = 0. Noliear Equatio Solvers Bracketig. Graphical. Aalytical Ope Methods Bisectio False Positio (Regula-Falsi) Fied poit iteratio Newto Raphso Secat The root of

More information

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece,, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet as

More information

NUMERICAL METHOD FOR SINGULARLY PERTURBED DELAY PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS

NUMERICAL METHOD FOR SINGULARLY PERTURBED DELAY PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS THERMAL SCIENCE, Year 07, Vol., No. 4, pp. 595-599 595 NUMERICAL METHOD FOR SINGULARLY PERTURBED DELAY PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS by Yula WANG *, Da TIAN, ad Zhiyua LI Departmet of Mathematics,

More information

NUMERICAL INVESTIGATION OF FEEDBACK CONTROL IN PLASMA PROCESSING REACTORS INTRODUCTION

NUMERICAL INVESTIGATION OF FEEDBACK CONTROL IN PLASMA PROCESSING REACTORS INTRODUCTION NUMERICAL INVESTIGATION OF FEEDBACK CONTROL IN PLASMA PROCESSING REACTORS Shahid Rauf ad Mark J. Kusher Departmet of Electrical ad Computer Egieerig Uiversity of Illiois 1406 W. Gree Street, Urbaa, Illiois

More information

ON WELLPOSEDNESS QUADRATIC FUNCTION MINIMIZATION PROBLEM ON INTERSECTION OF TWO ELLIPSOIDS * M. JA]IMOVI], I. KRNI] 1.

ON WELLPOSEDNESS QUADRATIC FUNCTION MINIMIZATION PROBLEM ON INTERSECTION OF TWO ELLIPSOIDS * M. JA]IMOVI], I. KRNI] 1. Yugoslav Joural of Operatios Research 1 (00), Number 1, 49-60 ON WELLPOSEDNESS QUADRATIC FUNCTION MINIMIZATION PROBLEM ON INTERSECTION OF TWO ELLIPSOIDS M. JA]IMOVI], I. KRNI] Departmet of Mathematics

More information

A Block Cipher Using Linear Congruences

A Block Cipher Using Linear Congruences Joural of Computer Sciece 3 (7): 556-560, 2007 ISSN 1549-3636 2007 Sciece Publicatios A Block Cipher Usig Liear Cogrueces 1 V.U.K. Sastry ad 2 V. Jaaki 1 Academic Affairs, Sreeidhi Istitute of Sciece &

More information

Chapter 9: Numerical Differentiation

Chapter 9: Numerical Differentiation 178 Chapter 9: Numerical Differetiatio Numerical Differetiatio Formulatio of equatios for physical problems ofte ivolve derivatives (rate-of-chage quatities, such as velocity ad acceleratio). Numerical

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

Random Variables, Sampling and Estimation

Random Variables, Sampling and Estimation Chapter 1 Radom Variables, Samplig ad Estimatio 1.1 Itroductio This chapter will cover the most importat basic statistical theory you eed i order to uderstad the ecoometric material that will be comig

More information

Math 5311 Problem Set #5 Solutions

Math 5311 Problem Set #5 Solutions Math 5311 Problem Set #5 Solutios March 9, 009 Problem 1 O&S 11.1.3 Part (a) Solve with boudary coditios u = 1 0 x < L/ 1 L/ < x L u (0) = u (L) = 0. Let s refer to [0, L/) as regio 1 ad (L/, L] as regio.

More information

THE KALMAN FILTER RAUL ROJAS

THE KALMAN FILTER RAUL ROJAS THE KALMAN FILTER RAUL ROJAS Abstract. This paper provides a getle itroductio to the Kalma filter, a umerical method that ca be used for sesor fusio or for calculatio of trajectories. First, we cosider

More information

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece 1, 1, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet

More information

Summary: CORRELATION & LINEAR REGRESSION. GC. Students are advised to refer to lecture notes for the GC operations to obtain scatter diagram.

Summary: CORRELATION & LINEAR REGRESSION. GC. Students are advised to refer to lecture notes for the GC operations to obtain scatter diagram. Key Cocepts: 1) Sketchig of scatter diagram The scatter diagram of bivariate (i.e. cotaiig two variables) data ca be easily obtaied usig GC. Studets are advised to refer to lecture otes for the GC operatios

More information

EE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course

EE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course Sigal-EE Postal Correspodece Course 1 SAMPLE STUDY MATERIAL Electrical Egieerig EE / EEE Postal Correspodece Course GATE, IES & PSUs Sigal System Sigal-EE Postal Correspodece Course CONTENTS 1. SIGNAL

More information

mx bx kx F t. dt IR I LI V t, Q LQ RQ V t,

mx bx kx F t. dt IR I LI V t, Q LQ RQ V t, Lecture 5 omplex Variables II (Applicatios i Physics) (See hapter i Boas) To see why complex variables are so useful cosider first the (liear) mechaics of a sigle particle described by Newto s equatio

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

Orthogonal Gaussian Filters for Signal Processing

Orthogonal Gaussian Filters for Signal Processing Orthogoal Gaussia Filters for Sigal Processig Mark Mackezie ad Kiet Tieu Mechaical Egieerig Uiversity of Wollogog.S.W. Australia Abstract A Gaussia filter usig the Hermite orthoormal series of fuctios

More information

Run-length & Entropy Coding. Redundancy Removal. Sampling. Quantization. Perform inverse operations at the receiver EEE

Run-length & Entropy Coding. Redundancy Removal. Sampling. Quantization. Perform inverse operations at the receiver EEE Geeral e Image Coder Structure Motio Video (s 1,s 2,t) or (s 1,s 2 ) Natural Image Samplig A form of data compressio; usually lossless, but ca be lossy Redudacy Removal Lossless compressio: predictive

More information

PAPER : IIT-JAM 2010

PAPER : IIT-JAM 2010 MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure

More information

A statistical method to determine sample size to estimate characteristic value of soil parameters

A statistical method to determine sample size to estimate characteristic value of soil parameters A statistical method to determie sample size to estimate characteristic value of soil parameters Y. Hojo, B. Setiawa 2 ad M. Suzuki 3 Abstract Sample size is a importat factor to be cosidered i determiig

More information

: Transforms and Partial Differential Equations

: Transforms and Partial Differential Equations Trasforms ad Partial Differetial Equatios 018 SUBJECT NAME : Trasforms ad Partial Differetial Equatios SUBJECT CODE : MA 6351 MATERIAL NAME : Part A questios REGULATION : R013 WEBSITE : wwwharigaeshcom

More information

ELEC1200: A System View of Communications: from Signals to Packets Lecture 3

ELEC1200: A System View of Communications: from Signals to Packets Lecture 3 ELEC2: A System View of Commuicatios: from Sigals to Packets Lecture 3 Commuicatio chaels Discrete time Chael Modelig the chael Liear Time Ivariat Systems Step Respose Respose to sigle bit Respose to geeral

More information

AN INTERIM REPORT ON SOFT SYSTEMS EVALUATION

AN INTERIM REPORT ON SOFT SYSTEMS EVALUATION AN INTERIM REPORT ON SOFT SYSTEMS EVALUATION Viljem Rupik INTERACTA, LTD, Busiess Iformatio Processig Parmova 53, Ljubljaa 386 01 4291809, e-mail: Viljem.Rupik@siol.et Abstract: As applicatio areas rapidly

More information

FIR Filter Design: Part II

FIR Filter Design: Part II EEL335: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we cosider how we might go about desigig FIR filters with arbitrary frequecy resposes, through compositio of multiple sigle-peak

More information

Z - Transform. It offers the techniques for digital filter design and frequency analysis of digital signals.

Z - Transform. It offers the techniques for digital filter design and frequency analysis of digital signals. Z - Trasform The -trasform is a very importat tool i describig ad aalyig digital systems. It offers the techiques for digital filter desig ad frequecy aalysis of digital sigals. Defiitio of -trasform:

More information

Ω ). Then the following inequality takes place:

Ω ). Then the following inequality takes place: Lecture 8 Lemma 5. Let f : R R be a cotiuously differetiable covex fuctio. Choose a costat δ > ad cosider the subset Ωδ = { R f δ } R. Let Ωδ ad assume that f < δ, i.e., is ot o the boudary of f = δ, i.e.,

More information

Lecture 6: Integration and the Mean Value Theorem. slope =

Lecture 6: Integration and the Mean Value Theorem. slope = Math 8 Istructor: Padraic Bartlett Lecture 6: Itegratio ad the Mea Value Theorem Week 6 Caltech 202 The Mea Value Theorem The Mea Value Theorem abbreviated MVT is the followig result: Theorem. Suppose

More information

1. Linearization of a nonlinear system given in the form of a system of ordinary differential equations

1. Linearization of a nonlinear system given in the form of a system of ordinary differential equations . Liearizatio of a oliear system give i the form of a system of ordiary differetial equatios We ow show how to determie a liear model which approximates the behavior of a time-ivariat oliear system i a

More information

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer. 6 Itegers Modulo I Example 2.3(e), we have defied the cogruece of two itegers a,b with respect to a modulus. Let us recall that a b (mod ) meas a b. We have proved that cogruece is a equivalece relatio

More information

EE Control Systems

EE Control Systems Copyright FL Lewis 7 All rights reserved Updated: Moday, November 1, 7 EE 4314 - Cotrol Systems Bode Plot Performace Specificatios The Bode Plot was developed by Hedrik Wade Bode i 1938 while he worked

More information

NEW IDENTIFICATION AND CONTROL METHODS OF SINE-FUNCTION JULIA SETS

NEW IDENTIFICATION AND CONTROL METHODS OF SINE-FUNCTION JULIA SETS Joural of Applied Aalysis ad Computatio Volume 5, Number 2, May 25, 22 23 Website:http://jaac-olie.com/ doi:.948/252 NEW IDENTIFICATION AND CONTROL METHODS OF SINE-FUNCTION JULIA SETS Jie Su,2, Wei Qiao

More information

ECE 422/522 Power System Operations & Planning/Power Systems Analysis II : 6 - Small Signal Stability

ECE 422/522 Power System Operations & Planning/Power Systems Analysis II : 6 - Small Signal Stability ECE 4/5 Power System Operatios & Plaig/Power Systems Aalysis II : 6 - Small Sigal Stability Sprig 014 Istructor: Kai Su 1 Refereces Kudur s Chapter 1 Saadat s Chapter 11.4 EPRI Tutorial s Chapter 8 Power

More information

Spectral Partitioning in the Planted Partition Model

Spectral Partitioning in the Planted Partition Model Spectral Graph Theory Lecture 21 Spectral Partitioig i the Plated Partitio Model Daiel A. Spielma November 11, 2009 21.1 Itroductio I this lecture, we will perform a crude aalysis of the performace of

More information

Solution of Differential Equation from the Transform Technique

Solution of Differential Equation from the Transform Technique Iteratioal Joural of Computatioal Sciece ad Mathematics ISSN 0974-3189 Volume 3, Number 1 (2011), pp 121-125 Iteratioal Research Publicatio House http://wwwirphousecom Solutio of Differetial Equatio from

More information

Microscopic traffic flow modeling

Microscopic traffic flow modeling Chapter 34 Microscopic traffic flow modelig 34.1 Overview Macroscopic modelig looks at traffic flow from a global perspective, whereas microscopic modelig, as the term suggests, gives attetio to the details

More information

t distribution [34] : used to test a mean against an hypothesized value (H 0 : µ = µ 0 ) or the difference

t distribution [34] : used to test a mean against an hypothesized value (H 0 : µ = µ 0 ) or the difference EXST30 Backgroud material Page From the textbook The Statistical Sleuth Mea [0]: I your text the word mea deotes a populatio mea (µ) while the work average deotes a sample average ( ). Variace [0]: The

More information

Study on Coal Consumption Curve Fitting of the Thermal Power Based on Genetic Algorithm

Study on Coal Consumption Curve Fitting of the Thermal Power Based on Genetic Algorithm Joural of ad Eergy Egieerig, 05, 3, 43-437 Published Olie April 05 i SciRes. http://www.scirp.org/joural/jpee http://dx.doi.org/0.436/jpee.05.34058 Study o Coal Cosumptio Curve Fittig of the Thermal Based

More information

Exponential Moving Average Pieter P

Exponential Moving Average Pieter P Expoetial Movig Average Pieter P Differece equatio The Differece equatio of a expoetial movig average lter is very simple: y[] x[] + (1 )y[ 1] I this equatio, y[] is the curret output, y[ 1] is the previous

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science. BACKGROUND EXAM September 30, 2004.

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science. BACKGROUND EXAM September 30, 2004. MASSACHUSETTS INSTITUTE OF TECHNOLOGY Departmet of Electrical Egieerig ad Computer Sciece 6.34 Discrete Time Sigal Processig Fall 24 BACKGROUND EXAM September 3, 24. Full Name: Note: This exam is closed

More information

Monte Carlo Optimization to Solve a Two-Dimensional Inverse Heat Conduction Problem

Monte Carlo Optimization to Solve a Two-Dimensional Inverse Heat Conduction Problem Australia Joural of Basic Applied Scieces, 5(): 097-05, 0 ISSN 99-878 Mote Carlo Optimizatio to Solve a Two-Dimesioal Iverse Heat Coductio Problem M Ebrahimi Departmet of Mathematics, Karaj Brach, Islamic

More information

LECTURE 14. Non-linear transverse motion. Non-linear transverse motion

LECTURE 14. Non-linear transverse motion. Non-linear transverse motion LETURE 4 No-liear trasverse motio Floquet trasformatio Harmoic aalysis-oe dimesioal resoaces Two-dimesioal resoaces No-liear trasverse motio No-liear field terms i the trajectory equatio: Trajectory equatio

More information

Stopping oscillations of a simple harmonic oscillator using an impulse force

Stopping oscillations of a simple harmonic oscillator using an impulse force It. J. Adv. Appl. Math. ad Mech. 5() (207) 6 (ISSN: 2347-2529) IJAAMM Joural homepage: www.ijaamm.com Iteratioal Joural of Advaces i Applied Mathematics ad Mechaics Stoppig oscillatios of a simple harmoic

More information

Modified Decomposition Method by Adomian and. Rach for Solving Nonlinear Volterra Integro- Differential Equations

Modified Decomposition Method by Adomian and. Rach for Solving Nonlinear Volterra Integro- Differential Equations Noliear Aalysis ad Differetial Equatios, Vol. 5, 27, o. 4, 57-7 HIKARI Ltd, www.m-hikari.com https://doi.org/.2988/ade.27.62 Modified Decompositio Method by Adomia ad Rach for Solvig Noliear Volterra Itegro-

More information

THEORETICAL RESEARCH REGARDING ANY STABILITY THEOREMS WITH APPLICATIONS. Marcel Migdalovici 1 and Daniela Baran 2

THEORETICAL RESEARCH REGARDING ANY STABILITY THEOREMS WITH APPLICATIONS. Marcel Migdalovici 1 and Daniela Baran 2 ICSV4 Cairs Australia 9- July, 007 THEORETICAL RESEARCH REGARDING ANY STABILITY THEOREMS WITH APPLICATIONS Marcel Migdalovici ad Daiela Bara Istitute of Solid Mechaics, INCAS Elie Carafoli, 5 C-ti Mille

More information

CSE 527, Additional notes on MLE & EM

CSE 527, Additional notes on MLE & EM CSE 57 Lecture Notes: MLE & EM CSE 57, Additioal otes o MLE & EM Based o earlier otes by C. Grat & M. Narasimha Itroductio Last lecture we bega a examiatio of model based clusterig. This lecture will be

More information

Mechatronics. Time Response & Frequency Response 2 nd -Order Dynamic System 2-Pole, Low-Pass, Active Filter

Mechatronics. Time Response & Frequency Response 2 nd -Order Dynamic System 2-Pole, Low-Pass, Active Filter Time Respose & Frequecy Respose d -Order Dyamic System -Pole, Low-Pass, Active Filter R 4 R 7 C 5 e i R 1 C R 3 - + R 6 - + e out Assigmet: Perform a Complete Dyamic System Ivestigatio of the Two-Pole,

More information