Active vibration suppression with using centralized actuators and fibres Ing. Tereza Kašpárková

Size: px
Start display at page:

Download "Active vibration suppression with using centralized actuators and fibres Ing. Tereza Kašpárková"

Transcription

1 Actve vbraton suppresson wth usng centralzed actuators and fbres Ing. ereza Kašpárková Vedoucí práce: Doc. Ing. Zbynk Ška PhD Abstrakt Obvykle se k tluení vbrací kopoztových struktur pouívá velké noství aktuátor. ento lánek se na rozdíl od tohoto obvyklého zpsobu snaí tlut vbrace kopoztové struktury s poutí alého noství centralzovaných aktuátor.v lánku je popsán návrh typu senzor a aktuátor a jejch uíst"ní na základní struktu#e. K zp"tnovazebnéu #ízení je zde pouta etoda QR. Klíová slova Aktvní tluení vbrací, kopoztové struktury, QR. Introducton he coposte aterals are very popular because they have low weght hgh strength and possbltes of low teperature of expansblty. he planes, the bullet proof vests, soe constructon n space and the parts of cuttng or shapng achne are anufacture of coposte ateral. hs ateral have soe probles too. he bggest proble of ths ateral s lower dapng. he good soluton of ths proble s connecton of actve eleents to the coposte structure. he eleents are pezoelectrc patches and fbres. Mostly t s used a lot of eleents. hs concept have soe probles wth hgh electrc voltage, hgh prce and a lot of wre. hs probles leads to dea of new concept of soluton of the proble. Naely the use of only few lnear drves and fbres correctng the drves and structure.. he concept of dapng he coposte structures s four corned, thn - walled bea []. hs bea s ade fro carbon fbres. Hs length s 80 c and hs secton s 0x0 c. Each soluton are calculated for the freely hung bea. wo lnear drves are connected to each wall of the bea. he lnear drves are placed n the ddle of the wall of the bea. wo fbres connected each drves and sutable places of the bea (fgure ). he actve eleents (lnear drvers and fbres) are placed nsde the bea. he concept contan 6 sensors too. he sensors are acceleroeters. Fve acceleroeters easure the axs x, fve acceleroeters easure the axs y and sx acceleroeters easure the axs z. hey are placed on the outsde walls of the bea. Fg.. New concept red are actng eleents and blue are sensng eleents

2 3. he placeent of sensors and actuators he H Nor [] s used for optzaton of place for connectng sensors and fbres to the bea. It s calculated fro the state space for (equaton) [] x& A y C x + B x r d + B u, () where the atrx A s systes atrx, the atrx B s control nput atrx, the atrx B r s dsturbng atrx and C s output atrx. 3. he sensors he concept contan about two thousands and fve hundred places for connecton sensors. he H Nor of the th ode and kth sensor s n equaton k B C k, í K N, k KR () where N s the nuber of all ode and R s the nuber of all places for connecton sensors. he H placeent ndex f the th ode and kth sensor s n equaton 3 k k wk, í K N, k KR (3) where w k?0 s weght assgned and s transfer functon. he sensor placeent atrx s ade up fro sensor placeent ndexes n ths for n n k k k nk R R R nr (4) where the th row s set ndexes of sensors for th ode and the kth colun consst of ndexes of the kth sensors for every odes. he vector of sensor placeent ndexes s defned as [ ], where sk s rs su kth sensor ndexes over all odes S s s sr n (5) sk he ndex sk characterzes the portance of the kth sensor. he places wth the hghest ndexes are good for placng the sensors. k

3 he concept contan fve x-drecton sensors, fve y-drecton sensors and fve z-drecton sensors. he ndex sk s calculated for each three drecton (fgure, 3) and approprate places are chosen fro places wth bggest sk. Fg.. Index sk for drecton x and y Fg. 3. Index sk for drecton z 3. he actuators he bea s dvded to the two parts for fndng approprate places to connectng the fbres to the bea. he lnear drves ake two sets. Each sets are connected to sets of places between lnear drves and further end of the bea (fgure ). Both set of places for connectng fbres contan about one thousands place. he angles between fbre and the coordnate axes are very portant for actuator effcency and for every drves are dfferent. hs angel deterne the force rate n axes x, y, z. he atrx B s ade wth reflect angles between fbre and bea. he H Nors of the th ode wth the jth actuators s j B j C, í K N, j KS (6) where N s the nuber of all ode and S s the nuber of all places for connecton fbres. he H placeent ndex f the th ode and jth place for connectng fbre (actuators) s n equaton 7. j j wj, í K N, j KS (7)

4 where w j?0 s weght assgned and s transfer functon. he actuator placeent atrx s ade up fro actuator placeent ndexes n ths for n n j j j nj S S S ns (8) where th row s set ndexes of actuators for th ode and the jth colun consst of ndexes of the jth actuators for every odes. he vector of actuator placeent ndexes s defned, where s rs su jth actuator ndexes over all odes as [ ] a a a as n (9) he ndex characterzes the portance of the jth place for connectng fbre to bea. he places wth the hghest ndexes are good for connectng fbres. he concept contan 6 fbres and eght lnear drves. he ndex s calculated for each eght drves and approprate places for connectng two fbres to bea are chosen fro places wth bggest.soe fgure wth for the frs set of places are n the fgure 4,5. j Fg. 4. Index for drves and Fg. 5. Index for drves 3 and 4

5 4. he control he actuators are under control of the state space feedback control [3]. he state space defnton of syste (equaton ) s necessary for the control synthess. he control nput s defne by the state space feedback as u K x (0) where K s the gan of feedback control. Fro equatons and 0 follow x& ( A B K) u + B d () he QR [4] s ethod of state space feedback control. hs ethod s used to fndng the gan K. he gan K s deterned as nzaton of quadratc cost functon J n equaton r J ( x Q x + u u) 0 dt () where Q and represent weghts on the dfferent states and control channels. he atrx Q have to be syetrc se-postve defnte and have to be syetrc postve defnte. he atrx Q [5] s where H s the vector of weght of the state. he gan atrx K s Q H H (3) K B P (4) where P s calculated fro Rccat equaton PA + A P + Q PB B P 0 (5) he control s used to dapng 6 odes so the vector H have sze x6. he weghts of the control channels s he results he fnal results are coposed fro the results of placeent and the results of control. he results of placeent are the optu places for sxteen sensors and sxteen fbres. he results of the control s the gan atrx K. he gan atrx s odfed wth respect to the coordnate systes on the bea wall. he fnal results are n the fgure 6. hey are transfer functon of controlled and uncontrolled syste

6 Fg. 6. ransfer functon to the tree another sensors 6. he concluson he paper presents the new concept of actve vbraton suppresson of coposte bea. Eght lnear drves wth sxteen fbres connectng the drves and the structure are used as actuaton syste. 6 one-axs acceleroeters are connected to the bea as a sensors. he ethod uses only a few actuators. hs s the an advantage wth respect to the concept wth hgh nuber of dstrbuted pezoelectrc actuators. he approprate placng of sensors and fbre connecton s very portant for the effcency. he control law synthess s realzed by the state space feedback control usng QR. 7. he Acknowledgeents he authors apprecate the knd support of the grant "Research of new prncple of echancal and boechancal systes wth a ntellgent behavour" (D0/08/H068) he lst of the sybols x syste state (odal state) [] u control nput [kg..s - ] d dsturbng nput [kg..s -, kg. s - ] y easure output [.s - ] A syste atrx [-]

7 B nput control atrx [-] B r dsturbng atrx [-] C output atrx [-] syste H Nor [-] B nor of nput control atrx [-] C nor of output atrx [-] w weght atrx [-] odal dapng [-] M natural frequence [/s] N H nor placeent ndex [-] N vector of placeent ndexes [-] O placeent atrx [-] K gan atrx [-] J quadratc cost functon [-] Q weght atrx [-] weght atrx [-] H vector of weght of the state [-] coeffcent [-] k coeffcent [-] j coeffcent [-] N nuber of ode [-] S nuber of places for actuator [-] R nuber of places for sensor [-] References [] Kašpárková,., Ška Z, Actve vbraton soppresson of coposte bea, th Workshop on Appled Mechancs, Proceedng, 00,. [] awronsk, W. K., Advanced Structural Dynacs and Actve Control of Structures, Mechancal Engneerng Seres, Sprnger, 004 [3] Kejval, J., luení vbrací stroj poloaktvní dynacký hlte. DsertaQní práce, RVU, Praha, 00 [4]. E. Stavroulaks,. Foutstz, E. Hadjgeorgou, D. Marnova, C. C. Banotopoulos, Desgn and robust optal control of sart beas wth applcaton on vbratons suppresson, Advances n Engneerng Software, 36, 005, [5] Ška, Z., Aktvní a poloaktvní snování echanckého ktání stroj. HabltaQní práce, RVU, Praha, 004

Applied Mathematics Letters

Applied Mathematics Letters Appled Matheatcs Letters 2 (2) 46 5 Contents lsts avalable at ScenceDrect Appled Matheatcs Letters journal hoepage: wwwelseverco/locate/al Calculaton of coeffcents of a cardnal B-splne Gradr V Mlovanovć

More information

System in Weibull Distribution

System in Weibull Distribution Internatonal Matheatcal Foru 4 9 no. 9 94-95 Relablty Equvalence Factors of a Seres-Parallel Syste n Webull Dstrbuton M. A. El-Dacese Matheatcs Departent Faculty of Scence Tanta Unversty Tanta Egypt eldacese@yahoo.co

More information

What is LP? LP is an optimization technique that allocates limited resources among competing activities in the best possible manner.

What is LP? LP is an optimization technique that allocates limited resources among competing activities in the best possible manner. (C) 998 Gerald B Sheblé, all rghts reserved Lnear Prograng Introducton Contents I. What s LP? II. LP Theor III. The Splex Method IV. Refneents to the Splex Method What s LP? LP s an optzaton technque that

More information

Solutions for Homework #9

Solutions for Homework #9 Solutons for Hoewor #9 PROBEM. (P. 3 on page 379 n the note) Consder a sprng ounted rgd bar of total ass and length, to whch an addtonal ass s luped at the rghtost end. he syste has no dapng. Fnd the natural

More information

STATIC ANALYSIS OF TWO-LAYERED PIEZOELECTRIC BEAMS WITH IMPERFECT SHEAR CONNECTION

STATIC ANALYSIS OF TWO-LAYERED PIEZOELECTRIC BEAMS WITH IMPERFECT SHEAR CONNECTION STATIC ANALYSIS OF TWO-LERED PIEZOELECTRIC BEAMS WITH IMPERFECT SHEAR CONNECTION Ákos József Lengyel István Ecsed Assstant Lecturer Emertus Professor Insttute of Appled Mechancs Unversty of Mskolc Mskolc-Egyetemváros

More information

Least Squares Fitting of Data

Least Squares Fitting of Data Least Squares Fttng of Data Davd Eberly Geoetrc Tools, LLC http://www.geoetrctools.co/ Copyrght c 1998-2014. All Rghts Reserved. Created: July 15, 1999 Last Modfed: February 9, 2008 Contents 1 Lnear Fttng

More information

FUZZY MODEL FOR FORECASTING INTEREST RATE OF BANK INDONESIA CERTIFICATE

FUZZY MODEL FOR FORECASTING INTEREST RATE OF BANK INDONESIA CERTIFICATE he 3 rd Internatonal Conference on Quanttatve ethods ISBN 979-989 Used n Econoc and Busness. June 6-8, 00 FUZZY ODEL FOR FORECASING INERES RAE OF BANK INDONESIA CERIFICAE Agus aan Abad, Subanar, Wdodo

More information

Chapter 12 Lyes KADEM [Thermodynamics II] 2007

Chapter 12 Lyes KADEM [Thermodynamics II] 2007 Chapter 2 Lyes KDEM [Therodynacs II] 2007 Gas Mxtures In ths chapter we wll develop ethods for deternng therodynac propertes of a xture n order to apply the frst law to systes nvolvng xtures. Ths wll be

More information

Gadjah Mada University, Indonesia. Yogyakarta State University, Indonesia Karangmalang Yogyakarta 55281

Gadjah Mada University, Indonesia. Yogyakarta State University, Indonesia Karangmalang Yogyakarta 55281 Reducng Fuzzy Relatons of Fuzzy Te Seres odel Usng QR Factorzaton ethod and Its Applcaton to Forecastng Interest Rate of Bank Indonesa Certfcate Agus aan Abad Subanar Wdodo 3 Sasubar Saleh 4 Ph.D Student

More information

Our focus will be on linear systems. A system is linear if it obeys the principle of superposition and homogenity, i.e.

Our focus will be on linear systems. A system is linear if it obeys the principle of superposition and homogenity, i.e. SSTEM MODELLIN In order to solve a control syste proble, the descrptons of the syste and ts coponents ust be put nto a for sutable for analyss and evaluaton. The followng ethods can be used to odel physcal

More information

Least Squares Fitting of Data

Least Squares Fitting of Data Least Squares Fttng of Data Davd Eberly Geoetrc Tools, LLC http://www.geoetrctools.co/ Copyrght c 1998-2015. All Rghts Reserved. Created: July 15, 1999 Last Modfed: January 5, 2015 Contents 1 Lnear Fttng

More information

Description of the Force Method Procedure. Indeterminate Analysis Force Method 1. Force Method con t. Force Method con t

Description of the Force Method Procedure. Indeterminate Analysis Force Method 1. Force Method con t. Force Method con t Indeternate Analyss Force Method The force (flexblty) ethod expresses the relatonshps between dsplaceents and forces that exst n a structure. Prary objectve of the force ethod s to deterne the chosen set

More information

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD Ákos Jósef Lengyel, István Ecsed Assstant Lecturer, Professor of Mechancs, Insttute of Appled Mechancs, Unversty of Mskolc, Mskolc-Egyetemváros,

More information

The Parity of the Number of Irreducible Factors for Some Pentanomials

The Parity of the Number of Irreducible Factors for Some Pentanomials The Party of the Nuber of Irreducble Factors for Soe Pentanoals Wolfra Koepf 1, Ryul K 1 Departent of Matheatcs Unversty of Kassel, Kassel, F. R. Gerany Faculty of Matheatcs and Mechancs K Il Sung Unversty,

More information

Chapter 25: Machining Centers, Machine Tool Structures and Machining Economics

Chapter 25: Machining Centers, Machine Tool Structures and Machining Economics Manufacturng Engneerng echnology n SI Unts, 6 th Edton Chapter 25: Machnng Centers, Machne ool Structures and Machnng Econocs Copyrght 200 Pearson Educaton South Asa Pte Ltd Chapter Outlne 2 Introducton

More information

Computational and Statistical Learning theory Assignment 4

Computational and Statistical Learning theory Assignment 4 Coputatonal and Statstcal Learnng theory Assgnent 4 Due: March 2nd Eal solutons to : karthk at ttc dot edu Notatons/Defntons Recall the defnton of saple based Radeacher coplexty : [ ] R S F) := E ɛ {±}

More information

Electrical Circuits 2.1 INTRODUCTION CHAPTER

Electrical Circuits 2.1 INTRODUCTION CHAPTER CHAPTE Electrcal Crcuts. INTODUCTION In ths chapter, we brefly revew the three types of basc passve electrcal elements: resstor, nductor and capactor. esstance Elements: Ohm s Law: The voltage drop across

More information

Integral Transforms and Dual Integral Equations to Solve Heat Equation with Mixed Conditions

Integral Transforms and Dual Integral Equations to Solve Heat Equation with Mixed Conditions Int J Open Probles Copt Math, Vol 7, No 4, Deceber 214 ISSN 1998-6262; Copyrght ICSS Publcaton, 214 www-csrsorg Integral Transfors and Dual Integral Equatons to Solve Heat Equaton wth Mxed Condtons Naser

More information

Designing Fuzzy Time Series Model Using Generalized Wang s Method and Its application to Forecasting Interest Rate of Bank Indonesia Certificate

Designing Fuzzy Time Series Model Using Generalized Wang s Method and Its application to Forecasting Interest Rate of Bank Indonesia Certificate The Frst Internatonal Senar on Scence and Technology, Islac Unversty of Indonesa, 4-5 January 009. Desgnng Fuzzy Te Seres odel Usng Generalzed Wang s ethod and Its applcaton to Forecastng Interest Rate

More information

Slobodan Lakić. Communicated by R. Van Keer

Slobodan Lakić. Communicated by R. Van Keer Serdca Math. J. 21 (1995), 335-344 AN ITERATIVE METHOD FOR THE MATRIX PRINCIPAL n-th ROOT Slobodan Lakć Councated by R. Van Keer In ths paper we gve an teratve ethod to copute the prncpal n-th root and

More information

APPLICATION OF SPACE TETHERED SYSTEMS FOR SPACE DEBRIS REMOVAL

APPLICATION OF SPACE TETHERED SYSTEMS FOR SPACE DEBRIS REMOVAL APPICATION OF SPACE TETHERED SYSTEMS FOR SPACE DEBRIS REMOVA Dakov P.A, Malashn A.A., Srnov N.N oonosov Moscow State Unversty (MSU Faculty of Mechancs and Matheatcs, 999, Man Buldng, GSP-, ennskye Gory,

More information

Study on Active Micro-vibration Isolation System with Linear Motor Actuator. Gong-yu PAN, Wen-yan GU and Dong LI

Study on Active Micro-vibration Isolation System with Linear Motor Actuator. Gong-yu PAN, Wen-yan GU and Dong LI 2017 2nd Internatonal Conference on Electrcal and Electroncs: echnques and Applcatons (EEA 2017) ISBN: 978-1-60595-416-5 Study on Actve Mcro-vbraton Isolaton System wth Lnear Motor Actuator Gong-yu PAN,

More information

Quantum Particle Motion in Physical Space

Quantum Particle Motion in Physical Space Adv. Studes Theor. Phys., Vol. 8, 014, no. 1, 7-34 HIKARI Ltd, www.-hkar.co http://dx.do.org/10.1988/astp.014.311136 Quantu Partcle Moton n Physcal Space A. Yu. Saarn Dept. of Physcs, Saara State Techncal

More information

Gradient Descent Learning and Backpropagation

Gradient Descent Learning and Backpropagation Artfcal Neural Networks (art 2) Chrstan Jacob Gradent Descent Learnng and Backpropagaton CSC 533 Wnter 200 Learnng by Gradent Descent Defnton of the Learnng roble Let us start wth the sple case of lnear

More information

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD Journal of Appled Mathematcs and Computatonal Mechancs 7, 6(3), 7- www.amcm.pcz.pl p-issn 99-9965 DOI:.75/jamcm.7.3. e-issn 353-588 THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS

More information

The Electromechanical Behavior of a Micro-Beam Driven by Traveling Electrostatic Force

The Electromechanical Behavior of a Micro-Beam Driven by Traveling Electrostatic Force Proceedngs of the Internatonal MultConference of Engneers and Coputer Scentsts 14 Vol II IMECS 14 March 1-14 14 Hong Kong The Electroechancal Behavor of a Mcro-Bea Drven by Travelng Electrostatc Force

More information

Solving Fuzzy Linear Programming Problem With Fuzzy Relational Equation Constraint

Solving Fuzzy Linear Programming Problem With Fuzzy Relational Equation Constraint Intern. J. Fuzz Maeatcal Archve Vol., 0, -0 ISSN: 0 (P, 0 0 (onlne Publshed on 0 Septeber 0 www.researchasc.org Internatonal Journal of Solvng Fuzz Lnear Prograng Proble W Fuzz Relatonal Equaton Constrant

More information

Chapter 8. Momentum, Impulse and Collisions (continued) 10/22/2014 Physics 218

Chapter 8. Momentum, Impulse and Collisions (continued) 10/22/2014 Physics 218 Chater 8 Moentu, Iulse and Collsons (contnued 0//04 Physcs 8 Learnng Goals The eanng of the oentu of a artcle(syste and how the ulse of the net force actng on a artcle causes the oentu to change. The condtons

More information

Xiangwen Li. March 8th and March 13th, 2001

Xiangwen Li. March 8th and March 13th, 2001 CS49I Approxaton Algorths The Vertex-Cover Proble Lecture Notes Xangwen L March 8th and March 3th, 00 Absolute Approxaton Gven an optzaton proble P, an algorth A s an approxaton algorth for P f, for an

More information

VERIFICATION OF FE MODELS FOR MODEL UPDATING

VERIFICATION OF FE MODELS FOR MODEL UPDATING VERIFICATION OF FE MODELS FOR MODEL UPDATING G. Chen and D. J. Ewns Dynacs Secton, Mechancal Engneerng Departent Iperal College of Scence, Technology and Medcne London SW7 AZ, Unted Kngdo Eal: g.chen@c.ac.uk

More information

Denote the function derivatives f(x) in given points. x a b. Using relationships (1.2), polynomials (1.1) are written in the form

Denote the function derivatives f(x) in given points. x a b. Using relationships (1.2), polynomials (1.1) are written in the form SET OF METHODS FO SOUTION THE AUHY POBEM FO STIFF SYSTEMS OF ODINAY DIFFEENTIA EUATIONS AF atypov and YuV Nulchev Insttute of Theoretcal and Appled Mechancs SB AS 639 Novosbrs ussa Introducton A constructon

More information

Optimal Marketing Strategies for a Customer Data Intermediary. Technical Appendix

Optimal Marketing Strategies for a Customer Data Intermediary. Technical Appendix Optal Marketng Strateges for a Custoer Data Interedary Techncal Appendx oseph Pancras Unversty of Connectcut School of Busness Marketng Departent 00 Hllsde Road, Unt 04 Storrs, CT 0669-04 oseph.pancras@busness.uconn.edu

More information

Recap: the SVM problem

Recap: the SVM problem Machne Learnng 0-70/5-78 78 Fall 0 Advanced topcs n Ma-Margn Margn Learnng Erc Xng Lecture 0 Noveber 0 Erc Xng @ CMU 006-00 Recap: the SVM proble We solve the follong constraned opt proble: a s.t. J 0

More information

STUDY OF A THREE-AXIS PIEZORESISTIVE ACCELEROMETER WITH UNIFORM AXIAL SENSITIVITIES

STUDY OF A THREE-AXIS PIEZORESISTIVE ACCELEROMETER WITH UNIFORM AXIAL SENSITIVITIES STUDY OF A THREE-AXIS PIEZORESISTIVE ACCELEROMETER WITH UNIFORM AXIAL SENSITIVITIES Abdelkader Benchou, PhD Canddate Nasreddne Benmoussa, PhD Kherreddne Ghaffour, PhD Unversty of Tlemcen/Unt of Materals

More information

The Non-equidistant New Information Optimizing MGM(1,n) Based on a Step by Step Optimum Constructing Background Value

The Non-equidistant New Information Optimizing MGM(1,n) Based on a Step by Step Optimum Constructing Background Value Appl. Math. Inf. Sc. 6 No. 3 745-750 (0) 745 Appled Matheatcs & Inforaton Scences An Internatonal Journal The Non-equdstant New Inforaton Optzng MGM(n) Based on a Step by Step Optu Constructng Background

More information

Physics 207: Lecture 20. Today s Agenda Homework for Monday

Physics 207: Lecture 20. Today s Agenda Homework for Monday Physcs 207: Lecture 20 Today s Agenda Homework for Monday Recap: Systems of Partcles Center of mass Velocty and acceleraton of the center of mass Dynamcs of the center of mass Lnear Momentum Example problems

More information

International Journal of Mathematical Archive-9(3), 2018, Available online through ISSN

International Journal of Mathematical Archive-9(3), 2018, Available online through   ISSN Internatonal Journal of Matheatcal Archve-9(3), 208, 20-24 Avalable onlne through www.ja.nfo ISSN 2229 5046 CONSTRUCTION OF BALANCED INCOMPLETE BLOCK DESIGNS T. SHEKAR GOUD, JAGAN MOHAN RAO M AND N.CH.

More information

Elastic Collisions. Definition: two point masses on which no external forces act collide without losing any energy.

Elastic Collisions. Definition: two point masses on which no external forces act collide without losing any energy. Elastc Collsons Defnton: to pont asses on hch no external forces act collde thout losng any energy v Prerequstes: θ θ collsons n one denson conservaton of oentu and energy occurs frequently n everyday

More information

Introducing Entropy Distributions

Introducing Entropy Distributions Graubner, Schdt & Proske: Proceedngs of the 6 th Internatonal Probablstc Workshop, Darstadt 8 Introducng Entropy Dstrbutons Noel van Erp & Peter van Gelder Structural Hydraulc Engneerng and Probablstc

More information

PERFORMANCE OF HEAVY-DUTY PLANETARY GEARS

PERFORMANCE OF HEAVY-DUTY PLANETARY GEARS THE INTERNATIONAL CONFERENCE OF THE CARPATHIAN EURO-REGION SPECIALISTS IN INDUSTRIAL SYSTEMS 6 th edton PERFORMANCE OF HEAVY-DUTY PLANETARY GEARS Attla Csobán, Mhály Kozma 1, 1 Professor PhD., Eng. Budapest

More information

Linear Momentum. Center of Mass.

Linear Momentum. Center of Mass. Lecture 16 Chapter 9 Physcs I 11.06.2013 Lnear oentu. Center of ass. Course webste: http://faculty.ul.edu/ndry_danylov/teachng/physcsi Lecture Capture: http://echo360.ul.edu/danylov2013/physcs1fall.htl

More information

PREDICTIVE CONTROL BY DISTRIBUTED PARAMETER SYSTEMS BLOCKSET FOR MATLAB & SIMULINK

PREDICTIVE CONTROL BY DISTRIBUTED PARAMETER SYSTEMS BLOCKSET FOR MATLAB & SIMULINK PREDICTIVE CONTROL BY DISTRIBUTED PARAMETER SYSTEMS BLOCKSET FOR MATLAB & SIMULINK G. Hulkó, C. Belavý, P. Buček, P. Noga Insttute of automaton, measurement and appled nformatcs, Faculty of Mechancal Engneerng,

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

total If no external forces act, the total linear momentum of the system is conserved. This occurs in collisions and explosions.

total If no external forces act, the total linear momentum of the system is conserved. This occurs in collisions and explosions. Lesson 0: Collsons, Rotatonal netc Energy, Torque, Center o Graty (Sectons 7.8 Last te we used ewton s second law to deelop the pulse-oentu theore. In words, the theore states that the change n lnear oentu

More information

Outline. Unit Eight Calculations with Entropy. The Second Law. Second Law Notes. Uses of Entropy. Entropy is a Property.

Outline. Unit Eight Calculations with Entropy. The Second Law. Second Law Notes. Uses of Entropy. Entropy is a Property. Unt Eght Calculatons wth Entropy Mechancal Engneerng 370 Thermodynamcs Larry Caretto October 6, 010 Outlne Quz Seven Solutons Second law revew Goals for unt eght Usng entropy to calculate the maxmum work

More information

CHAPTER 10 ROTATIONAL MOTION

CHAPTER 10 ROTATIONAL MOTION CHAPTER 0 ROTATONAL MOTON 0. ANGULAR VELOCTY Consder argd body rotates about a fxed axs through pont O n x-y plane as shown. Any partcle at pont P n ths rgd body rotates n a crcle of radus r about O. The

More information

4 Column generation (CG) 4.1 Basics of column generation. 4.2 Applying CG to the Cutting-Stock Problem. Basic Idea of column generation

4 Column generation (CG) 4.1 Basics of column generation. 4.2 Applying CG to the Cutting-Stock Problem. Basic Idea of column generation 4 Colun generaton (CG) here are a lot of probles n nteger prograng where even the proble defnton cannot be effcently bounded Specfcally, the nuber of coluns becoes very large herefore, these probles are

More information

#64. ΔS for Isothermal Mixing of Ideal Gases

#64. ΔS for Isothermal Mixing of Ideal Gases #64 Carnot Heat Engne ΔS for Isothermal Mxng of Ideal Gases ds = S dt + S T V V S = P V T T V PV = nrt, P T ds = v T = nr V dv V nr V V = nrln V V = - nrln V V ΔS ΔS ΔS for Isothermal Mxng for Ideal Gases

More information

An Optimal Bound for Sum of Square Roots of Special Type of Integers

An Optimal Bound for Sum of Square Roots of Special Type of Integers The Sxth Internatonal Syposu on Operatons Research and Its Applcatons ISORA 06 Xnang, Chna, August 8 12, 2006 Copyrght 2006 ORSC & APORC pp. 206 211 An Optal Bound for Su of Square Roots of Specal Type

More information

Chapter 13. Gas Mixtures. Study Guide in PowerPoint. Thermodynamics: An Engineering Approach, 5th edition by Yunus A. Çengel and Michael A.

Chapter 13. Gas Mixtures. Study Guide in PowerPoint. Thermodynamics: An Engineering Approach, 5th edition by Yunus A. Çengel and Michael A. Chapter 3 Gas Mxtures Study Gude n PowerPont to accopany Therodynacs: An Engneerng Approach, 5th edton by Yunus A. Çengel and Mchael A. Boles The dscussons n ths chapter are restrcted to nonreactve deal-gas

More information

CHAPTER 7 CONSTRAINED OPTIMIZATION 1: THE KARUSH-KUHN-TUCKER CONDITIONS

CHAPTER 7 CONSTRAINED OPTIMIZATION 1: THE KARUSH-KUHN-TUCKER CONDITIONS CHAPER 7 CONSRAINED OPIMIZAION : HE KARUSH-KUHN-UCKER CONDIIONS 7. Introducton We now begn our dscusson of gradent-based constraned optzaton. Recall that n Chapter 3 we looked at gradent-based unconstraned

More information

Optimal Control Scheme for Nonlinear Systems with Saturating Actuator Using ε-iterative Adaptive Dynamic Programming

Optimal Control Scheme for Nonlinear Systems with Saturating Actuator Using ε-iterative Adaptive Dynamic Programming UKACC Internatonal Conference on Control Cardff, UK, 3-5 Septeber Optal Control Schee for Nonlnear Systes wth Saturatng Actuator Usng -Iteratve Adaptve Dynac Prograng Xaofeng Ln, Yuanjun Huang and Nuyun

More information

,..., k N. , k 2. ,..., k i. The derivative with respect to temperature T is calculated by using the chain rule: & ( (5) dj j dt = "J j. k i.

,..., k N. , k 2. ,..., k i. The derivative with respect to temperature T is calculated by using the chain rule: & ( (5) dj j dt = J j. k i. Suppleentary Materal Dervaton of Eq. 1a. Assue j s a functon of the rate constants for the N coponent reactons: j j (k 1,,..., k,..., k N ( The dervatve wth respect to teperature T s calculated by usng

More information

y new = M x old Feature Selection: Linear Transformations Constraint Optimization (insertion)

y new = M x old Feature Selection: Linear Transformations Constraint Optimization (insertion) Feature Selecton: Lnear ransforatons new = M x old Constrant Optzaton (nserton) 3 Proble: Gven an objectve functon f(x) to be optzed and let constrants be gven b h k (x)=c k, ovng constants to the left,

More information

XII.3 The EM (Expectation-Maximization) Algorithm

XII.3 The EM (Expectation-Maximization) Algorithm XII.3 The EM (Expectaton-Maxzaton) Algorth Toshnor Munaata 3/7/06 The EM algorth s a technque to deal wth varous types of ncoplete data or hdden varables. It can be appled to a wde range of learnng probles

More information

CHAPTER 6 CONSTRAINED OPTIMIZATION 1: K-T CONDITIONS

CHAPTER 6 CONSTRAINED OPTIMIZATION 1: K-T CONDITIONS Chapter 6: Constraned Optzaton CHAPER 6 CONSRAINED OPIMIZAION : K- CONDIIONS Introducton We now begn our dscusson of gradent-based constraned optzaton. Recall that n Chapter 3 we looked at gradent-based

More information

ASYMMETRIC TRAFFIC ASSIGNMENT WITH FLOW RESPONSIVE SIGNAL CONTROL IN AN URBAN NETWORK

ASYMMETRIC TRAFFIC ASSIGNMENT WITH FLOW RESPONSIVE SIGNAL CONTROL IN AN URBAN NETWORK AYMMETRIC TRAFFIC AIGNMENT WITH FLOW REPONIVE IGNAL CONTROL IN AN URBAN NETWORK Ken'etsu UCHIDA *, e'ch KAGAYA **, Tohru HAGIWARA *** Dept. of Engneerng - Hoado Unversty * E-al: uchda@eng.houda.ac.p **

More information

A Differential Evaluation Markov Chain Monte Carlo algorithm for Bayesian Model Updating M. Sherri a, I. Boulkaibet b, T. Marwala b, M. I.

A Differential Evaluation Markov Chain Monte Carlo algorithm for Bayesian Model Updating M. Sherri a, I. Boulkaibet b, T. Marwala b, M. I. A Dfferental Evaluaton Markov Chan Monte Carlo algorth for Bayesan Model Updatng M. Sherr a, I. Boulkabet b, T. Marwala b, M. I. Frswell c, a Departent of Mechancal Engneerng Scence, Unversty of Johannesburg,

More information

Quantum Mechanics for Scientists and Engineers

Quantum Mechanics for Scientists and Engineers Quantu Mechancs or Scentsts and Engneers Sangn K Advanced Coputatonal Electroagnetcs Lab redkd@yonse.ac.kr Nov. 4 th, 26 Outlne Quantu Mechancs or Scentsts and Engneers Blnear expanson o lnear operators

More information

Analysis of the Magnetomotive Force of a Three-Phase Winding with Concentrated Coils and Different Symmetry Features

Analysis of the Magnetomotive Force of a Three-Phase Winding with Concentrated Coils and Different Symmetry Features Analyss of the Magnetomotve Force of a Three-Phase Wndng wth Concentrated Cols and Dfferent Symmetry Features Deter Gerlng Unversty of Federal Defense Munch, Neubberg, 85579, Germany Emal: Deter.Gerlng@unbw.de

More information

1. Statement of the problem

1. Statement of the problem Volue 14, 010 15 ON THE ITERATIVE SOUTION OF A SYSTEM OF DISCRETE TIMOSHENKO EQUATIONS Peradze J. and Tsklaur Z. I. Javakhshvl Tbls State Uversty,, Uversty St., Tbls 0186, Georga Georgan Techcal Uversty,

More information

Three Algorithms for Flexible Flow-shop Scheduling

Three Algorithms for Flexible Flow-shop Scheduling Aercan Journal of Appled Scences 4 (): 887-895 2007 ISSN 546-9239 2007 Scence Publcatons Three Algorths for Flexble Flow-shop Schedulng Tzung-Pe Hong, 2 Pe-Yng Huang, 3 Gwoboa Horng and 3 Chan-Lon Wang

More information

Scattering by a perfectly conducting infinite cylinder

Scattering by a perfectly conducting infinite cylinder Scatterng by a perfectly conductng nfnte cylnder Reeber that ths s the full soluton everywhere. We are actually nterested n the scatterng n the far feld lt. We agan use the asyptotc relatonshp exp exp

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

An Interactive Optimisation Tool for Allocation Problems

An Interactive Optimisation Tool for Allocation Problems An Interactve Optmsaton ool for Allocaton Problems Fredr Bonäs, Joam Westerlund and apo Westerlund Process Desgn Laboratory, Faculty of echnology, Åbo Aadem Unversty, uru 20500, Fnland hs paper presents

More information

INPUT-OUTPUT PAIRING OF MULTIVARIABLE PREDICTIVE CONTROL

INPUT-OUTPUT PAIRING OF MULTIVARIABLE PREDICTIVE CONTROL INPUT-OUTPUT PAIRING OF MULTIVARIABLE PREDICTIVE CONTROL Lng-Cong Chen #, Pu Yuan*, Gu-L Zhang* *Unversty of Petroleu, P.O. Box 902 Beng 00083, Chna # GAIN Tech Co., P.O. Box 902ext.79, Beng 00083, Chna

More information

Approximate Technique for Solving Class of Fractional Variational Problems

Approximate Technique for Solving Class of Fractional Variational Problems Appled Matheatcs, 5, 6, 837-846 Publshed Onlne May 5 n ScRes. http://www.scrp.org/journal/a http://dx.do.org/.436/a.5.6578 Approxate Technque for Solvng Class of Fractonal Varatonal Probles Ead M. Soloua,,

More information

Scroll Generation with Inductorless Chua s Circuit and Wien Bridge Oscillator

Scroll Generation with Inductorless Chua s Circuit and Wien Bridge Oscillator Latest Trends on Crcuts, Systems and Sgnals Scroll Generaton wth Inductorless Chua s Crcut and Wen Brdge Oscllator Watcharn Jantanate, Peter A. Chayasena, and Sarawut Sutorn * Abstract An nductorless Chua

More information

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient 58:080 Expermental Engneerng 1 OBJECTIVE Lab 2e Thermal System Response and Effectve Heat Transfer Coeffcent Warnng: though the experment has educatonal objectves (to learn about bolng heat transfer, etc.),

More information

1.3 Hence, calculate a formula for the force required to break the bond (i.e. the maximum value of F)

1.3 Hence, calculate a formula for the force required to break the bond (i.e. the maximum value of F) EN40: Dynacs and Vbratons Hoework 4: Work, Energy and Lnear Moentu Due Frday March 6 th School of Engneerng Brown Unversty 1. The Rydberg potental s a sple odel of atoc nteractons. It specfes the potental

More information

ACTM State Calculus Competition Saturday April 30, 2011

ACTM State Calculus Competition Saturday April 30, 2011 ACTM State Calculus Competton Saturday Aprl 30, 2011 ACTM State Calculus Competton Sprng 2011 Page 1 Instructons: For questons 1 through 25, mark the best answer choce on the answer sheet provde Afterward

More information

PES 1120 Spring 2014, Spendier Lecture 6/Page 1

PES 1120 Spring 2014, Spendier Lecture 6/Page 1 PES 110 Sprng 014, Spender Lecture 6/Page 1 Lecture today: Chapter 1) Electrc feld due to charge dstrbutons -> charged rod -> charged rng We ntroduced the electrc feld, E. I defned t as an nvsble aura

More information

Finite Vector Space Representations Ross Bannister Data Assimilation Research Centre, Reading, UK Last updated: 2nd August 2003

Finite Vector Space Representations Ross Bannister Data Assimilation Research Centre, Reading, UK Last updated: 2nd August 2003 Fnte Vector Space epresentatons oss Bannster Data Asslaton esearch Centre, eadng, UK ast updated: 2nd August 2003 Contents What s a lnear vector space?......... 1 About ths docuent............ 2 1. Orthogonal

More information

Chapter One Mixture of Ideal Gases

Chapter One Mixture of Ideal Gases herodynacs II AA Chapter One Mxture of Ideal Gases. Coposton of a Gas Mxture: Mass and Mole Fractons o deterne the propertes of a xture, we need to now the coposton of the xture as well as the propertes

More information

p 1 c 2 + p 2 c 2 + p 3 c p m c 2

p 1 c 2 + p 2 c 2 + p 3 c p m c 2 Where to put a faclty? Gven locatons p 1,..., p m n R n of m houses, want to choose a locaton c n R n for the fre staton. Want c to be as close as possble to all the house. We know how to measure dstance

More information

Pop-Click Noise Detection Using Inter-Frame Correlation for Improved Portable Auditory Sensing

Pop-Click Noise Detection Using Inter-Frame Correlation for Improved Portable Auditory Sensing Advanced Scence and Technology Letters, pp.164-168 http://dx.do.org/10.14257/astl.2013 Pop-Clc Nose Detecton Usng Inter-Frame Correlaton for Improved Portable Audtory Sensng Dong Yun Lee, Kwang Myung Jeon,

More information

Collaborative Filtering Recommendation Algorithm

Collaborative Filtering Recommendation Algorithm Vol.141 (GST 2016), pp.199-203 http://dx.do.org/10.14257/astl.2016.141.43 Collaboratve Flterng Recoendaton Algorth Dong Lang Qongta Teachers College, Haou 570100, Chna, 18689851015@163.co Abstract. Ths

More information

Physics 201 Lecture 9

Physics 201 Lecture 9 Physcs 20 Lecture 9 l Goals: Lecture 8 ewton s Laws v Solve D & 2D probles ntroducng forces wth/wthout frcton v Utlze ewton s st & 2 nd Laws v Begn to use ewton s 3 rd Law n proble solvng Law : An obect

More information

3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)

3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015) 3rd Internatonal Conference on Mechancal Engneerng and Intellgent Systes (ICMEIS 015 Model Predctve Control Based Energy Manageent Strategy for a Plug-In Hybrd Electrc Vehcle Jel Zhang 1, a, Hongwen He*

More information

MODELING TRAFFIC LIGHTS IN INTERSECTION USING PETRI NETS

MODELING TRAFFIC LIGHTS IN INTERSECTION USING PETRI NETS The 3 rd Internatonal Conference on Mathematcs and Statstcs (ICoMS-3) Insttut Pertanan Bogor, Indonesa, 5-6 August 28 MODELING TRAFFIC LIGHTS IN INTERSECTION USING PETRI NETS 1 Deky Adzkya and 2 Subono

More information

Discussion 11 Summary 11/20/2018

Discussion 11 Summary 11/20/2018 Dscusson 11 Summary 11/20/2018 1 Quz 8 1. Prove for any sets A, B that A = A B ff B A. Soluton: There are two drectons we need to prove: (a) A = A B B A, (b) B A A = A B. (a) Frst, we prove A = A B B A.

More information

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. ) with a symmetric Pcovariance matrix of the y( x ) measurements V

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. ) with a symmetric Pcovariance matrix of the y( x ) measurements V Fall Analyss o Experental Measureents B Esensten/rev S Errede General Least Squares wth General Constrants: Suppose we have easureents y( x ( y( x, y( x,, y( x wth a syetrc covarance atrx o the y( x easureents

More information

Application of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems

Application of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems Mathematca Aeterna, Vol. 1, 011, no. 06, 405 415 Applcaton of B-Splne to Numercal Soluton of a System of Sngularly Perturbed Problems Yogesh Gupta Department of Mathematcs Unted College of Engneerng &

More information

Parameter Estimation for Dynamic System using Unscented Kalman filter

Parameter Estimation for Dynamic System using Unscented Kalman filter Parameter Estmaton for Dynamc System usng Unscented Kalman flter Jhoon Seung 1,a, Amr Atya F. 2,b, Alexander G.Parlos 3,c, and Klto Chong 1,4,d* 1 Dvson of Electroncs Engneerng, Chonbuk Natonal Unversty,

More information

Power law and dimension of the maximum value for belief distribution with the max Deng entropy

Power law and dimension of the maximum value for belief distribution with the max Deng entropy Power law and dmenson of the maxmum value for belef dstrbuton wth the max Deng entropy Bngy Kang a, a College of Informaton Engneerng, Northwest A&F Unversty, Yanglng, Shaanx, 712100, Chna. Abstract Deng

More information

EXAMPLES of THEORETICAL PROBLEMS in the COURSE MMV031 HEAT TRANSFER, version 2017

EXAMPLES of THEORETICAL PROBLEMS in the COURSE MMV031 HEAT TRANSFER, version 2017 EXAMPLES of THEORETICAL PROBLEMS n the COURSE MMV03 HEAT TRANSFER, verson 207 a) What s eant by sotropc ateral? b) What s eant by hoogeneous ateral? 2 Defne the theral dffusvty and gve the unts for the

More information

Transactions of the VŠB Technical University of Ostrava, Mechanical Series. article No. 1907

Transactions of the VŠB Technical University of Ostrava, Mechanical Series. article No. 1907 Transactons of the VŠB Techncal Unversty of Ostrava, Mechancal Seres No., 0, vol. LVIII artcle No. 907 Marek NIKODÝM *, Karel FYDÝŠEK ** FINITE DIFFEENCE METHOD USED FO THE BEAMS ON ELASTIC FOUNDATION

More information

Over-Temperature protection for IGBT modules

Over-Temperature protection for IGBT modules Over-Temperature protecton for IGBT modules Ke Wang 1, Yongjun Lao 2, Gaosheng Song 1, Xanku Ma 1 1 Mtsubsh Electrc & Electroncs (Shangha) Co., Ltd., Chna Room2202, Tower 3, Kerry Plaza, No.1-1 Zhongxns

More information

Analysis and Research on Mismatch in Tailored Blank Laser Welding

Analysis and Research on Mismatch in Tailored Blank Laser Welding Analyss and Research on Msatch n Talored Blank Laser Weldng Lng Xn Shenyang Insttute of Autoaton, Chnese Acadey of Scence Graduate School of the Chnese Acadey of Scences Shenyang, Laonng Provnce, Chna

More information

PHYS 1443 Section 002 Lecture #20

PHYS 1443 Section 002 Lecture #20 PHYS 1443 Secton 002 Lecture #20 Dr. Jae Condtons for Equlbru & Mechancal Equlbru How to Solve Equlbru Probles? A ew Exaples of Mechancal Equlbru Elastc Propertes of Solds Densty and Specfc Gravty lud

More information

3. Tensor (continued) Definitions

3. Tensor (continued) Definitions atheatcs Revew. ensor (contnued) Defntons Scalar roduct of two tensors : : : carry out the dot roducts ndcated ( )( ) δ δ becoes becoes atheatcs Revew But, what s a tensor really? tensor s a handy reresentaton

More information

Modeling and Simulation of a Hexapod Machine Tool for the Dynamic Stability Analysis of Milling Processes. C. Henninger, P.

Modeling and Simulation of a Hexapod Machine Tool for the Dynamic Stability Analysis of Milling Processes. C. Henninger, P. Smpack User Meetng 27 Modelng and Smulaton of a Heapod Machne Tool for the Dynamc Stablty Analyss of Mllng Processes C. Hennnger, P. Eberhard Insttute of Engneerng project funded by the DFG wthn the framework

More information

Minimization of l 2 -Norm of the KSOR Operator

Minimization of l 2 -Norm of the KSOR Operator ournal of Matheatcs and Statstcs 8 (): 6-70, 0 ISSN 59-36 0 Scence Publcatons do:0.38/jssp.0.6.70 Publshed Onlne 8 () 0 (http://www.thescpub.co/jss.toc) Mnzaton of l -Nor of the KSOR Operator Youssef,

More information

Vibration control of vehicle seat integrating with chassis suspension and driver body model

Vibration control of vehicle seat integrating with chassis suspension and driver body model Unversty of Wollongong Research Onlne Faculty of Engneerng and Inforaton Scences - Papers: Part A Faculty of Engneerng and Inforaton Scences 3 Vbraton control of vehcle seat ntegratng wth chasss suspenson

More information

REAL TIME OPTIMIZATION OF a FCC REACTOR USING LSM DYNAMIC IDENTIFIED MODELS IN LLT PREDICTIVE CONTROL ALGORITHM

REAL TIME OPTIMIZATION OF a FCC REACTOR USING LSM DYNAMIC IDENTIFIED MODELS IN LLT PREDICTIVE CONTROL ALGORITHM REAL TIME OTIMIZATION OF a FCC REACTOR USING LSM DYNAMIC IDENTIFIED MODELS IN LLT REDICTIVE CONTROL ALGORITHM Durask, R. G.; Fernandes,. R. B.; Trerweler, J. O. Secch; A. R. federal unversty of Ro Grande

More information

Comparison of the Population Variance Estimators. of 2-Parameter Exponential Distribution Based on. Multiple Criteria Decision Making Method

Comparison of the Population Variance Estimators. of 2-Parameter Exponential Distribution Based on. Multiple Criteria Decision Making Method Appled Mathematcal Scences, Vol. 7, 0, no. 47, 07-0 HIARI Ltd, www.m-hkar.com Comparson of the Populaton Varance Estmators of -Parameter Exponental Dstrbuton Based on Multple Crtera Decson Makng Method

More information

Parametric Torsional Vibration of Mechanical Drive Systems with non-uniform Transmission Mechanisms

Parametric Torsional Vibration of Mechanical Drive Systems with non-uniform Transmission Mechanisms TECHNICHE MECHANIK, and 8, Heft 3-4, (008), 30-33 Manusrptengang: 5. Otober 007 Paraetrc Torsonal Vbraton of Mechancal Drve ystes wth non-unfor Transsson Mechanss Nguyen Van Khang, Nguyen Phong Den, Hoang

More information

Limit Cycle Bifurcations in a Class of Cubic System near a Nilpotent Center *

Limit Cycle Bifurcations in a Class of Cubic System near a Nilpotent Center * Appled Mateatcs 77-777 ttp://dxdoorg/6/a75 Publsed Onlne July (ttp://wwwscrporg/journal/a) Lt Cycle Bfurcatons n a Class of Cubc Syste near a Nlpotent Center * Jao Jang Departent of Mateatcs Sanga Marte

More information

On the Calderón-Zygmund lemma for Sobolev functions

On the Calderón-Zygmund lemma for Sobolev functions arxv:0810.5029v1 [ath.ca] 28 Oct 2008 On the Calderón-Zygund lea for Sobolev functons Pascal Auscher october 16, 2008 Abstract We correct an naccuracy n the proof of a result n [Aus1]. 2000 MSC: 42B20,

More information

Computer Simulations of Parallel-to-Series Conversion in Solid State Frame Transfer Image Sensors. J. Bisschop

Computer Simulations of Parallel-to-Series Conversion in Solid State Frame Transfer Image Sensors. J. Bisschop 207 SIMULATION OF SEMICONDUCTOR DEVICES AND PROCESSES Vol. 3 Edted by G. Baccaran, M. Rudan - Bologna (Italy) September 26-28,988 - Tecnoprnt Computer Smulatons of Parallel-to-Seres Converson n Sold State

More information