A Design of an Improved Anti-Windup Control Using a PI Controller Based on a Pole Placement Method

Size: px
Start display at page:

Download "A Design of an Improved Anti-Windup Control Using a PI Controller Based on a Pole Placement Method"

Transcription

1 KYOHE SAKA e al: A DESGN OF AN MPROVED ANT-WNDUP CONTROL USNG A P CONTROLLER A Deign of an mrove Ani-Winu Conrol Uing a P Conroller Bae on a Pole Placemen Meho Kyohei Saai Grauae School of Science an Technology Meiji univeriy Kanagawa, Jaan ce439@meijiacj Yohihia hia School of Science an Technology Meiji univeriy Kanagawa, Jaan ihia@meijiacj Arac n hi uy, we ecrie an imrove ani-winu conrol uing a Proorional-negral (P) conroller ae on a ole lacemen meho An ani-winu conrol comrie a linear feeac conroller ha aifie he eire non-auraion ecificaion an an ani-winu comenaor ha oerae uring he auraion Thi conrol meho reven large overhoo caue y he winu henomenon However, ince he conrolle lan i no ye-, eay-ae error can occur an he inu o he inegral acion i limie To avoi hee rolem, we ranforme he conrolle yem ino a ye- lan Therefore, no eay-ae error occur when uing a ye- lan an he ouu converge o he arge value n aiion, he conroller gain i erive y he ole lacemen meho Then, i i oile o eign an exene conrolle yem oionally, o ha i i no neceary o reeign he conroller wheher he conrolle lan i a ye- or a ye- Keywor - ani-winu conrol; P conrol; negraor winu; ole lacemen NTRODUCTON n acual yem, we reven amage caue y exceive conrol inu y eing an uer an a lower limi However, if he conrol yem incororae an negraor uch a a P or PD conrol, he inu coninue o increae afer reaching he arge quaniy reuling in an exceive overhoo [] Thi i calle he inegral winu henomenon A numer of ani-winu echnique have een rooe o overcome he winu henomenon []-[4] An aniwinu conrol comrie a linear feeac conroller ha aifie he eire non-auraion ecificaion an an aniwinu comenaor ha oerae uring auraion The ani-winu conrol reven huge overhoo caue y he winu henomenon Thu, i only conier iuaion where he inu limi i urae an o he negraor wihou exceeing he limi an reven exceive overhoo However, if he inu ignal i a e an he conrolle lan i ye-, eay-ae error may occur, an he inu o he inegral acion i limie n hi uy, we rooe an imrove ani-winu conrol meho We ranform he conrolle yem ino an exene conrolle yem calle ye- lan By eigning he ae feeac acion o he conrolle inu, he exene conrolle yem i realize Therefore, even if he conrolle lan i ye-, he ouu of he ani-winu conrol yem follow he arge value wihou reuling in a eay-ae error Thi aer i organize a follow n Secion, we ecrie he influence of he ani-winu conrol uing a ye- lan n Secion 3, we ecrie a echnique o conver a ye- lan ino a ye- lan an erivaion of he conroller gain ae on he ole lacemen meho [5] n Secion 4, we confirm he effecivene of he rooe meho uing variou imulaion Finally, in Secion 5, we reen our concluion ANT-WNDUP COMPENSATOR A a ree winu counermeaure, a meho o o he inegral calculu funcion when an oeraional quaniy reache i uer or lower limi exi [6], [7] The yem i hown in Fig e r y z z ˆ( ) u ˆ( ) u u u Figure Ani-winu comenaor Here, he ea zone (from u o u ) i exree a a linear range of an acuaor an i ecrie y he following equaion [6], [7]: u u if u u, u u, u ˆ( ) ele if u u( ) u Thi yem ecome a P conroller when he inu i wihin he limi f an inu auraion occur, he following equaion i ue: u e z, z e ( u u ) Suiuing ino, we ge he following equaion: DO 53/JSSSTa734 SSN: x online, rin

2 KYOHE SAKA e al: A DESGN OF AN MPROVED ANT-WNDUP CONTROL USNG A P CONTROLLER z e ( e z u ) z u Alying he Lalace ranform, we oain u Z From he final value heorem, we oain u lim z lim Z( ) lim Thu, he inu o he negraor ecome zero Nex, we conier he final value of he negraor ouu, z ˆ( ) We aume ha he inu i a e ignal, r = R For a ye- lan, u ecome zero in eay ae Therefore, we oain he following equaion: (5) (6) u e z ˆ r y z ˆ (7) From he inernal moel rincile, he eay-ae error converge o zero Thu, r = y, an we have z ˆ( ) Meanwhile, for a ye- lan, we have wo coniion erive from he imulaion uy: r u, (8) r u (9) Cae : Afer alying he Lalace ranform, u can e exree a U R Y Zˆ u E E ( U ) u ( R Y ) ( U ) n he eay ae, we have y u Equaion can e wrien a follow: u U ( R U) ( U ) u R From an, we oain Z ˆ( ) U R Y U R U ( ) U( ) R( ) u n he eay ae, we oain he following equaion: u lim z ˆ( ) lim u (3) Cae : The ouu of he ea zone ecome zero, o U can e exree a U E E ( R U ) Equaion can e wrien a follow: U( ) R( ) U( ) R( ) U ( ) R (5) From an (5), we oain Z ˆ( ) ( ) U R ( ) R( ) R( ) ( ) ( )( ) ( ) R ( ) R ( ) (6) n he eay ae, we oain he following equaion: R R lim z ˆ( ) lim ( ) (7) From hee wo coniion, we can efine an uer limi for he ouu of he inegraor a zˆ( ) u (8) Meanwhile, a lower limi for he ouu of he inegraor can e ecrie a DO 53/JSSSTa734 SSN: x online, rin

3 KYOHE SAKA e al: A DESGN OF AN MPROVED ANT-WNDUP CONTROL USNG A P CONTROLLER u zˆ( ) (9) Therefore, he range of he inegraor ouu i ecrie y u zˆ( ) u Hence, for a ye- lan, he ouu of he inegraor i limie y he uer an lower limi of he ea zone Nex, we conier a cloe-loo yem given y Y G ˆ EZ G ( )( R ( ) Y ( ) Z ˆ( )) Y GY ˆ GR GZ, GZ ˆ Y( G) R( G ) R Thu, he cloe-loo yem can e ecrie a Y F R GZ ˆ G G ( ) R ( ) G ˆ Z G ( ) R ( ) Here, he ranfer funcion of a ye- econ-orer lan i G a a Therefore, he cloe-loo yem i a a Z F a a Zˆ( ) ( ) R aa ˆ( ) R Meanwhile, he ae-eay error i ecrie y lim e lim E lim( R Y) (5) lim ( F( )) R( ) R( lim F( )) (6) lim F( ) lim Zˆ( ) R a a ( R u) R( ) Thu, he ae-eay error i wrien a R u lim e ( ) r From he coniion in (ie, zˆ( ) ), we have (7) (8) lim F ( ) (9) Thu, he ae-eay error i given y lim e ( ) (3) Therefore, for a ye- lan, a eay-ae error can occur in he yem DESGN OF AN MPROVED ANT-WNDUP CONTROL A Deign of an exene conrolle yem Thi ecion eign an exene conrolle yem The econ-orer ranfer funcion G can e exree in he form of ae-ace equaion x Ax Bu, (3) a y Cx where x R, A R, B R, C R an ua ( ) are hown a follow: x x,,,, x A a a B C um if u um, ua u ele if um u um, um ele u um Here, he vecor in (33) are alie o (3) a a ae feeac, ie, a a A u (33) Coniering lim F( ) zˆ( ) u ), we have an he coniion in (i) (ie, DO 53/JSSSTa734 3 SSN: x online, rin

4 KYOHE SAKA e al: A DESGN OF AN MPROVED ANT-WNDUP CONTROL USNG A P CONTROLLER Exene Conrolle Plan G Ani-winu Comenaor Conrolle Plan G r e z z ˆ( ) u v u a B A C x y u u ˆ( ) u A u Figure Bloc iagram of he rooe meho Therefore, he maniulae variale ua ( ) i ecrie in (34) Here, v i a new maniulae variale uch ha ua Ax u v (34) Suiuing (34) ino (3), he following equaion i erive: x Ax BAu x v A BAu x Bv Ax B v, (35) y Cx Cx (36) Here, A R, B R an C R are hown a follow A,, B C Therefore, he exene conrolle yem i ecrie a G C A B (37) n hi uy, we eigne an ani-winu conroller uing he exene conrolle yem B Derivaion of gain an Thi ecion ecrie a erivaion of he gain an ae on he ole lacemen meho The conroller in non-aurainon ecome P conroller The conroller i ecrie a C (38) The cloe loo ranfer funcion in non-auraion i erive a (39) For imliciy, N( ) C( ) G ( ) W( ) D ( ) CG ( ) ( ) 3 (39) From (39), he cloe loo characeriic olynomial i exree y D 3 ( ) Here, he eire olynomial i given y a 3a 3 a a From an, he gain an are erive a 3 a, (4a) 3 a, a 3 (4c) Suiuing (4c) ino, he following equaion i erive: 3 (43) a The conroller gain, an he exene conrolle yem arameer, can e ecie uniquely y elecing he arameer a The rooe meho i hown in Fig V SMULATON STUDY n hi ecion, we confirm he effecivene of he rooe meho We imulae he conrol yem uing MATLAB/Simulin We aume ha he inu i a e DO 53/JSSSTa734 4 SSN: x online, rin

5 KYOHE SAKA e al: A DESGN OF AN MPROVED ANT-WNDUP CONTROL USNG A P CONTROLLER ignal The iniial value of he e ignal i r = An inu-ie iurance of magniue - i alie a = 5, an an ouu-ie iurance of magniue i alie a = Our rooe meho i comare o he convenional meho ecrie y Wahyui e al [6] A Tye- lan Thi ecion ecrie he imulaion reul when he lan i ye- Conier he econ-orer lan a G a, where, a = 375, an = 33 ) CASE : r u (44) The limi range of he ea zone i e o u For he ole lacemen meho, he eire olynomial i given y 3 Parameer ha we ue in he imulaion uy are hown in he Tale Fig 3 how he ouu reone of he rooe an convenional meho Fig 4 how he maniulae variale u a Thee reul how ha he ouu reone of he convenional an rooe meho oe no have a eay-ae error m TABLE PARAMETERS N TYPE- PLANT Variale Variale meaning Value u Sauraion range, Conroller gain 8, 45, Exene lan arameer 6, 45 A u Sae feeac vecor 8 Ouu Time[] Figure 3 Se reone of he rooe an convenional meho for Cae (Tye- lan) Targe value, rooe meho, convenional meho wih ani-winu conrol, an convenional meho wihou ani-winu conrol u m Maniulae Variale Time[] Figure 4 Maniulae variale of he rooe an convenional meho for Cae (Tye- lan) Prooe meho, convenional meho wih ani-winu conrol, an convenional meho wihou ani-winu conrol ) CASE : r u The limi range of he ea zone i e o 5 u 5 The eire olynomial i he ame a in ecion A ) The arameer,,, an A u are he ame a he Tale Fig 5 how he ouu reone of he rooe an convenional meho Fig 6 how he maniulae variale u a Thee reul how ha he ouu reone of he convenional an rooe meho oe no have a eay-ae error a in Secion A ) Ouu Time[] Figure 5 Se reone of he rooe an convenional meho for Cae (Tye- lan) Targe value, rooe meho, convenional meho wih ani-winu conrol, an convenional meho wihou ani-winu conrol DO 53/JSSSTa734 5 SSN: x online, rin

6 KYOHE SAKA e al: A DESGN OF AN MPROVED ANT-WNDUP CONTROL USNG A P CONTROLLER Maniulae Variale Ouu Time[] Figure 6 Maniulae variale of he rooe an convenional meho for Cae (Tye- lan) Prooe meho, convenional meho wih ani-winu conrol, an convenional meho wihou ani-winu conrol Time[] Figure 7 Se reone of he rooe an convenional meho for Cae (Tye- lan) Targe value, rooe meho, convenional meho wih ani-winu conrol, an convenional meho wihou ani-winu conrol B Tye- lan Thi ecion ecrie he imulaion reul when he lan i ye- Conier he econ-orer lan a G, a a where, a = 33, a = 375, an = 33 ) CASE : r u (45) Maniulae Variale 5 5 The limi range of he ea zone i e o u The eire olynomial i he ame a in Secion A Parameer ha we ue in he imulaion uy are hown in Tale Fig 7 how he ouu reone of he rooe an convenional meho Fig 8 how maniulae variale u a Thee reul how ha he ouu reone of he convenional meho ha a eay-ae error, wherea he ouu of he rooe meho oe no m TABLE PARAMETERS N TYPE- PLANT Variale Variale meaning Value u Sauraion range, Conroller gain 8, 45, Exene yem arameer 6, 45 A Sae feeac vecor 8 u u m Time[] Figure 8 Maniulae variale of he rooe an convenional meho for Cae (Tye- lan) Prooe meho, convenional meho wih ani-winu conrol, an convenional meho wihou ani-winu conrol ) CASE : r u The limi range of he ea zone i e o 5 u 5 The eire olynomial i he ame a in Secion A The arameer are he ame a in Tale Fig 9 how he ouu reone of he comarion eween he rooe meho an he convenional one Fig how he maniulae variale u a Thee reul how ha he ouu reone of he convenional an rooe meho oe no have a eay-ae error DO 53/JSSSTa734 6 SSN: x online, rin

7 KYOHE SAKA e al: A DESGN OF AN MPROVED ANT-WNDUP CONTROL USNG A P CONTROLLER Ouu Time[] Figure 9 Se reone of he rooe an convenional meho, for Cae (Tye- lan) Targe value, rooe meho, convenional meho wih ani-winu conrol, an convenional meho wihou ani-winu conrol Maniulae Variale Time[] Figure Maniulae variale of he rooe an convenional meho for Cae (Tye- lan) Prooe meho, convenional meho wih ani-winu conrol, an convenional meho wihou ani-winu conrol V CONCLUSONS n hi uy, we have rooe an imrove ani-winu conroller for a ye- lan We alo have analyze he coniion of he arge value larger han u (cae (i)) an he arge value maller han u (cae (ii)) n aiion, he effecivene of he rooe meho ha een confirme uing variou imulaion Our echnique reven eayae error, an i ouu ha no overhoo n aiion, he conroller gain i erive y ole lacemen meho Then, i i oile o eign an exene conrolle yem oionally, o ha i i no neceary o reeign he conroller wheher he conrolle lan i a ye- or a ye- n he cae of acuaor ha hyical limiaion, i i exece o how uerior erformance in inurial fiel REFERENCES [] H Ogawa, K Saai, K Maumoo, an Y hia, A imle aniwinu conrol ae on a P conrol wih an iniial value of he inegral ae variale, Proceeing of he n nernainal Conference on Comuer an Auomaion Engineering, Singaore, Singaore, vol, 49-5, [] N Ban, M Ono, K Saai, K Maumoo, H Shiaai, an Y hia, Aniwinu Conrol Scheme wih Dicree Moifie nenal Moel Conrol, Proceeing of nernaional Conference on Comuaional neligence an Vehicular SyemSeoul, Korea, 6-64, [3] HB Shin, an JG Par, Ani-Winu PD Conroller Wih negral Sae Preicor for Variale-See Moor Drive, EEE Tranacion on nurial Elecronic, vol 5, 59-56, [4] JW Choi, an SC Lee, Aniwinu Sraegy for P-Tyoe See Conroller, EEE Tranacion on nurial Elecronic, vol 56, 39-46, 9 [5] H Shiaai, R Yuof, T Fujio, an Y hia, Simle Moel Following Conrol Deign Meho for a Sale an an Unale Plan, Proceeing of he 4 nernaional Conference on Comuer, Communicaion, an Conrol Technology Langawi, Malayia, 86-9, 4 [6] Wahyui, T Faial, an A Alagul, Ani-Winu Scheme For Pracical Conrol of Poiioning yem, UM Engineering Journal, vol 5, -5, 4 [7] C Bohn, an DP Aheron, An Analyi Pacage Comaring PD Ani-Winu Sraegie, EEE Conrol Syem Magazin, vol 5, DO 53/JSSSTa734 7 SSN: x online, rin

An Improved Anti-windup Control Using a PI Controller

An Improved Anti-windup Control Using a PI Controller 05 Third nernaional Conference on Arificial nelligence, Modelling and Simulaion An mroved Ani-windu Conrol Uing a P Conroller Kyohei Saai Graduae School of Science and Technology Meiji univeriy Kanagawa,

More information

Design of Controller for Robot Position Control

Design of Controller for Robot Position Control eign of Conroller for Robo oiion Conrol Two imporan goal of conrol: 1. Reference inpu racking: The oupu mu follow he reference inpu rajecory a quickly a poible. Se-poin racking: Tracking when he reference

More information

u(t) Figure 1. Open loop control system

u(t) Figure 1. Open loop control system Open loop conrol v cloed loop feedbac conrol The nex wo figure preen he rucure of open loop and feedbac conrol yem Figure how an open loop conrol yem whoe funcion i o caue he oupu y o follow he reference

More information

The Purpose of this talk The generation of the high-frequency resonant FEL wave by means of it s low-frequency wave as a pomp wave

The Purpose of this talk The generation of the high-frequency resonant FEL wave by means of it s low-frequency wave as a pomp wave The Purpoe of hi alk The generaion of he high-frequency reonan FEL wave y mean of i low-frequency wave a a pomp wave A free elecron laer ha wo reonan frequencie wih : λ 1, = ( 1 ± β β ) λ w In a waveguide:

More information

, the. L and the L. x x. max. i n. It is easy to show that these two norms satisfy the following relation: x x n x = (17.3) max

, the. L and the L. x x. max. i n. It is easy to show that these two norms satisfy the following relation: x x n x = (17.3) max ecure 8 7. Sabiliy Analyi For an n dimenional vecor R n, he and he vecor norm are defined a: = T = i n i (7.) I i eay o how ha hee wo norm aify he following relaion: n (7.) If a vecor i ime-dependen, hen

More information

Control Systems. Lecture 9 Frequency Response. Frequency Response

Control Systems. Lecture 9 Frequency Response. Frequency Response Conrol Syem Lecure 9 Frequency eone Frequency eone We now know how o analyze and deign yem via -domain mehod which yield dynamical informaion The reone are decribed by he exonenial mode The mode are deermined

More information

Chapter 9 - The Laplace Transform

Chapter 9 - The Laplace Transform Chaper 9 - The Laplace Tranform Selece Soluion. Skech he pole-zero plo an region of convergence (if i exi) for hee ignal. ω [] () 8 (a) x e u = 8 ROC σ ( ) 3 (b) x e co π u ω [] ( ) () (c) x e u e u ROC

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 31 Signal & Syem Prof. Mark Fowler Noe Se #27 C-T Syem: Laplace Tranform Power Tool for yem analyi Reading Aignmen: Secion 6.1 6.3 of Kamen and Heck 1/18 Coure Flow Diagram The arrow here how concepual

More information

EE Control Systems LECTURE 2

EE Control Systems LECTURE 2 Copyrigh F.L. Lewi 999 All righ reerved EE 434 - Conrol Syem LECTURE REVIEW OF LAPLACE TRANSFORM LAPLACE TRANSFORM The Laplace ranform i very ueful in analyi and deign for yem ha are linear and ime-invarian

More information

Let. x y. denote a bivariate time series with zero mean.

Let. x y. denote a bivariate time series with zero mean. Linear Filer Le x y : T denoe a bivariae ime erie wih zero mean. Suppoe ha he ime erie {y : T} i conruced a follow: y a x The ime erie {y : T} i aid o be conruced from {x : T} by mean of a Linear Filer.

More information

Speed Anti-Windup PI strategies review for Field Oriented Control of Permanent Magnet Synchronous Machines Servo Drives with Matrix Converters

Speed Anti-Windup PI strategies review for Field Oriented Control of Permanent Magnet Synchronous Machines Servo Drives with Matrix Converters Seed Ani-Windu PI raegie review for Field Oriened Conrol of Permanen Magne Synchronou Machine Servo Drive wih Marix Converer J. Eina, A. Aria, J. Balcell, C. Orega & S. Galceran Dearamen d Enginyeria Elecrònica,

More information

Chapter 7: Inverse-Response Systems

Chapter 7: Inverse-Response Systems Chaper 7: Invere-Repone Syem Normal Syem Invere-Repone Syem Baic Sar ou in he wrong direcion End up in he original eady-ae gain value Two or more yem wih differen magniude and cale in parallel Main yem

More information

To become more mathematically correct, Circuit equations are Algebraic Differential equations. from KVL, KCL from the constitutive relationship

To become more mathematically correct, Circuit equations are Algebraic Differential equations. from KVL, KCL from the constitutive relationship Laplace Tranform (Lin & DeCarlo: Ch 3) ENSC30 Elecric Circui II The Laplace ranform i an inegral ranformaion. I ranform: f ( ) F( ) ime variable complex variable From Euler > Lagrange > Laplace. Hence,

More information

6.8 Laplace Transform: General Formulas

6.8 Laplace Transform: General Formulas 48 HAP. 6 Laplace Tranform 6.8 Laplace Tranform: General Formula Formula Name, ommen Sec. F() l{ f ()} e f () d f () l {F()} Definiion of Tranform Invere Tranform 6. l{af () bg()} al{f ()} bl{g()} Lineariy

More information

6 December 2013 H. T. Hoang - www4.hcmut.edu.vn/~hthoang/ 1

6 December 2013 H. T. Hoang - www4.hcmut.edu.vn/~hthoang/ 1 Lecure Noe Fundamenal of Conrol Syem Inrucor: Aoc. Prof. Dr. Huynh Thai Hoang Deparmen of Auomaic Conrol Faculy of Elecrical & Elecronic Engineering Ho Chi Minh Ciy Univeriy of Technology Email: hhoang@hcmu.edu.vn

More information

18.03SC Unit 3 Practice Exam and Solutions

18.03SC Unit 3 Practice Exam and Solutions Sudy Guide on Sep, Dela, Convoluion, Laplace You can hink of he ep funcion u() a any nice mooh funcion which i for < a and for > a, where a i a poiive number which i much maller han any ime cale we care

More information

Physics 240: Worksheet 16 Name

Physics 240: Worksheet 16 Name Phyic 4: Workhee 16 Nae Non-unifor circular oion Each of hee proble involve non-unifor circular oion wih a conan α. (1) Obain each of he equaion of oion for non-unifor circular oion under a conan acceleraion,

More information

CHAPTER 7: SECOND-ORDER CIRCUITS

CHAPTER 7: SECOND-ORDER CIRCUITS EEE5: CI RCUI T THEORY CHAPTER 7: SECOND-ORDER CIRCUITS 7. Inroducion Thi chaper conider circui wih wo orage elemen. Known a econd-order circui becaue heir repone are decribed by differenial equaion ha

More information

CONTROL SYSTEMS. Chapter 10 : State Space Response

CONTROL SYSTEMS. Chapter 10 : State Space Response CONTROL SYSTEMS Chaper : Sae Space Repone GATE Objecive & Numerical Type Soluion Queion 5 [GATE EE 99 IIT-Bombay : Mark] Conider a econd order yem whoe ae pace repreenaion i of he form A Bu. If () (),

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 30 Signal & Syem Prof. ark Fowler oe Se #34 C-T Tranfer Funcion and Frequency Repone /4 Finding he Tranfer Funcion from Differenial Eq. Recall: we found a DT yem Tranfer Funcion Hz y aking he ZT of

More information

EE202 Circuit Theory II

EE202 Circuit Theory II EE202 Circui Theory II 2017-2018, Spring Dr. Yılmaz KALKAN I. Inroducion & eview of Fir Order Circui (Chaper 7 of Nilon - 3 Hr. Inroducion, C and L Circui, Naural and Sep epone of Serie and Parallel L/C

More information

Introduction to SLE Lecture Notes

Introduction to SLE Lecture Notes Inroducion o SLE Lecure Noe May 13, 16 - The goal of hi ecion i o find a ufficien condiion of λ for he hull K o be generaed by a imple cure. I urn ou if λ 1 < 4 hen K i generaed by a imple curve. We will

More information

CONTRIBUTION TO THE THEORETICAL ANALYSIS OF THE ZIEGLER NICHOLS METHOD

CONTRIBUTION TO THE THEORETICAL ANALYSIS OF THE ZIEGLER NICHOLS METHOD Journal of ELECTRICAL ENGINEERING, VOL 54, NO 7-8, 3, 88 94 CONTRIBUTION TO THE THEORETICAL ANALYSIS OF THE ZIEGLER NICHOLS METHOD Mikuláš Huba Kaarína Žáková The high pracical ignificance of he I T d

More information

Chapter 8: Response of Linear Systems to Random Inputs

Chapter 8: Response of Linear Systems to Random Inputs Caper 8: epone of Linear yem o anom Inpu 8- Inroucion 8- nalyi in e ime Domain 8- Mean an Variance Value of yem Oupu 8-4 uocorrelaion Funcion of yem Oupu 8-5 Crocorrelaion beeen Inpu an Oupu 8-6 ample

More information

Chapter Three Systems of Linear Differential Equations

Chapter Three Systems of Linear Differential Equations Chaper Three Sysems of Linear Differenial Equaions In his chaper we are going o consier sysems of firs orer orinary ifferenial equaions. These are sysems of he form x a x a x a n x n x a x a x a n x n

More information

Chapter 8 Objectives

Chapter 8 Objectives haper 8 Engr8 ircui Analyi Dr uri Nelon haper 8 Objecive Be able o eermine he naural an he ep repone of parallel circui; Be able o eermine he naural an he ep repone of erie circui. Engr8 haper 8, Nilon

More information

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3 and d = c b - b c c d = c b - b c c This process is coninued unil he nh row has been compleed. The complee array of coefficiens is riangular. Noe ha in developing he array an enire row may be divided or

More information

6.302 Feedback Systems Recitation : Phase-locked Loops Prof. Joel L. Dawson

6.302 Feedback Systems Recitation : Phase-locked Loops Prof. Joel L. Dawson 6.32 Feedback Syem Phae-locked loop are a foundaional building block for analog circui deign, paricularly for communicaion circui. They provide a good example yem for hi cla becaue hey are an excellen

More information

5.2 GRAPHICAL VELOCITY ANALYSIS Polygon Method

5.2 GRAPHICAL VELOCITY ANALYSIS Polygon Method ME 352 GRHICL VELCITY NLYSIS 52 GRHICL VELCITY NLYSIS olygon Mehod Velociy analyi form he hear of kinemaic and dynamic of mechanical yem Velociy analyi i uually performed following a poiion analyi; ie,

More information

Chapter 5 Digital PID control algorithm. Hesheng Wang Department of Automation,SJTU 2016,03

Chapter 5 Digital PID control algorithm. Hesheng Wang Department of Automation,SJTU 2016,03 Chaper 5 Digial PID conrol algorihm Hesheng Wang Deparmen of Auomaion,SJTU 216,3 Ouline Absrac Quasi-coninuous PID conrol algorihm Improvemen of sandard PID algorihm Choosing parameer of PID regulaor Brief

More information

Laplace Transform. Inverse Laplace Transform. e st f(t)dt. (2)

Laplace Transform. Inverse Laplace Transform. e st f(t)dt. (2) Laplace Tranform Maoud Malek The Laplace ranform i an inegral ranform named in honor of mahemaician and aronomer Pierre-Simon Laplace, who ued he ranform in hi work on probabiliy heory. I i a powerful

More information

Sample Final Exam (finals03) Covering Chapters 1-9 of Fundamentals of Signals & Systems

Sample Final Exam (finals03) Covering Chapters 1-9 of Fundamentals of Signals & Systems Sample Final Exam Covering Chaper 9 (final04) Sample Final Exam (final03) Covering Chaper 9 of Fundamenal of Signal & Syem Problem (0 mar) Conider he caual opamp circui iniially a re depiced below. I LI

More information

AN ANALYTICAL METHOD OF SOLUTION FOR SYSTEMS OF BOOLEAN EQUATIONS

AN ANALYTICAL METHOD OF SOLUTION FOR SYSTEMS OF BOOLEAN EQUATIONS CHAPTER 5 AN ANALYTICAL METHOD OF SOLUTION FOR SYSTEMS OF BOOLEAN EQUATIONS 51 APPLICATIONS OF DE MORGAN S LAWS A we have een in Secion 44 of Chaer 4, any Boolean Equaion of ye (1), (2) or (3) could be

More information

Buckling of a structure means failure due to excessive displacements (loss of structural stiffness), and/or

Buckling of a structure means failure due to excessive displacements (loss of structural stiffness), and/or Buckling Buckling of a rucure mean failure due o exceive diplacemen (lo of rucural iffne), and/or lo of abiliy of an equilibrium configuraion of he rucure The rule of humb i ha buckling i conidered a mode

More information

Control Systems -- Final Exam (Spring 2006)

Control Systems -- Final Exam (Spring 2006) 6.5 Conrol Syem -- Final Eam (Spring 6 There are 5 prolem (inluding onu prolem oal poin. (p Given wo marie: (6 Compue A A e e. (6 For he differenial equaion [ ] ; y u A wih ( u( wha i y( for >? (8 For

More information

UT Austin, ECE Department VLSI Design 5. CMOS Gate Characteristics

UT Austin, ECE Department VLSI Design 5. CMOS Gate Characteristics La moule: CMOS Tranior heory Thi moule: DC epone Logic Level an Noie Margin Tranien epone Delay Eimaion Tranior ehavior 1) If he wih of a ranior increae, he curren will ) If he lengh of a ranior increae,

More information

A Theoretical Model of a Voltage Controlled Oscillator

A Theoretical Model of a Voltage Controlled Oscillator A Theoreical Model of a Volage Conrolled Ocillaor Yenming Chen Advior: Dr. Rober Scholz Communicaion Science Iniue Univeriy of Souhern California UWB Workhop, April 11-1, 6 Inroducion Moivaion The volage

More information

Interpolation and Pulse Shaping

Interpolation and Pulse Shaping EE345S Real-Time Digial Signal Proceing Lab Spring 2006 Inerpolaion and Pule Shaping Prof. Brian L. Evan Dep. of Elecrical and Compuer Engineering The Univeriy of Texa a Auin Lecure 7 Dicree-o-Coninuou

More information

PI Controller Design of Grid-side PWM-regulated ac/dc Converters via Stability Analysis based on Passivity

PI Controller Design of Grid-side PWM-regulated ac/dc Converters via Stability Analysis based on Passivity r EEE nernaional Sympoium on Power Elecronic for Diribue Generaion Syem (PEDG 1 P Conroller Deign of Gri-ie PWM-regulae ac/c Converer via Sabiliy Analyi bae on Paiviy Anonio. Alexanrii, Member, EEE, an

More information

Drill Bit Hydraulics

Drill Bit Hydraulics Drill i yraulic Aumpion ) Change of preure ue o elevaion i negligible. ) Velociy upream i negligible compare o nozzle. 3) reure ue o fricion i negligible. Δ Δ 8.075 4 E ρvn 0 reure rop acro bi, vn nozzle

More information

FUZZY n-inner PRODUCT SPACE

FUZZY n-inner PRODUCT SPACE Bull. Korean Mah. Soc. 43 (2007), No. 3, pp. 447 459 FUZZY n-inner PRODUCT SPACE Srinivaan Vijayabalaji and Naean Thillaigovindan Reprined from he Bullein of he Korean Mahemaical Sociey Vol. 43, No. 3,

More information

When analyzing an object s motion there are two factors to consider when attempting to bring it to rest. 1. The object s mass 2. The object s velocity

When analyzing an object s motion there are two factors to consider when attempting to bring it to rest. 1. The object s mass 2. The object s velocity SPH4U Momenum LoRuo Momenum i an exenion of Newon nd law. When analyzing an ojec moion here are wo facor o conider when aeming o ring i o re.. The ojec ma. The ojec velociy The greaer an ojec ma, he more

More information

Rough Paths and its Applications in Machine Learning

Rough Paths and its Applications in Machine Learning Pah ignaure Machine learning applicaion Rough Pah and i Applicaion in Machine Learning July 20, 2017 Rough Pah and i Applicaion in Machine Learning Pah ignaure Machine learning applicaion Hiory and moivaion

More information

Single Phase Line Frequency Uncontrolled Rectifiers

Single Phase Line Frequency Uncontrolled Rectifiers Single Phae Line Frequency Unconrolle Recifier Kevin Gaughan 24-Nov-03 Single Phae Unconrolle Recifier 1 Topic Baic operaion an Waveform (nucive Loa) Power Facor Calculaion Supply curren Harmonic an Th

More information

Modeling the Evolution of Demand Forecasts with Application to Safety Stock Analysis in Production/Distribution Systems

Modeling the Evolution of Demand Forecasts with Application to Safety Stock Analysis in Production/Distribution Systems Modeling he Evoluion of Demand oreca wih Applicaion o Safey Sock Analyi in Producion/Diribuion Syem David Heah and Peer Jackon Preened by Kai Jiang Thi ummary preenaion baed on: Heah, D.C., and P.L. Jackon.

More information

ESTIMATES FOR THE DERIVATIVE OF DIFFUSION SEMIGROUPS

ESTIMATES FOR THE DERIVATIVE OF DIFFUSION SEMIGROUPS Elec. Comm. in Probab. 3 (998) 65 74 ELECTRONIC COMMUNICATIONS in PROBABILITY ESTIMATES FOR THE DERIVATIVE OF DIFFUSION SEMIGROUPS L.A. RINCON Deparmen of Mahemaic Univeriy of Wale Swanea Singleon Par

More information

(V 1. (T i. )- FrC p. ))= 0 = FrC p (T 1. (T 1s. )+ UA(T os. (T is

(V 1. (T i. )- FrC p. ))= 0 = FrC p (T 1. (T 1s. )+ UA(T os. (T is . Yu are repnible fr a reacr in which an exhermic liqui-phae reacin ccur. The fee mu be preheae he hrehl acivain emperaure f he caaly, bu he pruc ream mu be cle. T reuce uiliy c, yu are cniering inalling

More information

On the Exponential Operator Functions on Time Scales

On the Exponential Operator Functions on Time Scales dvance in Dynamical Syem pplicaion ISSN 973-5321, Volume 7, Number 1, pp. 57 8 (212) hp://campu.m.edu/ada On he Exponenial Operaor Funcion on Time Scale laa E. Hamza Cairo Univeriy Deparmen of Mahemaic

More information

( ) - maximum permissible bending. IJSRD - International Journal for Scientific Research & Development Vol. 4, Issue 01, 2016 ISSN (online):

( ) - maximum permissible bending. IJSRD - International Journal for Scientific Research & Development Vol. 4, Issue 01, 2016 ISSN (online): IJSRD - Inernaional Journal for Scienific Reearch & Developmen Vol. 4, Iue 01, 016 ISSN (online): 31-0613 Dr.N.Arunachalam 1 P.Prakah K.Jayakarhik 3 M.Narmadha 4 1 Profeor & Dean,3 PG Scholar 4 Aociae

More information

Numerical simulations used to detect the chaotic evolution of the exchange rate described by a nonlinear determinist system

Numerical simulations used to detect the chaotic evolution of the exchange rate described by a nonlinear determinist system Iue Volume 7 Numerical imulaion ued o deec he chaoic evoluion of he exchange rae decried y a nonlinear deermini yem Mirela-Carinel Voicu Arac In hi paper we preen a udy concerning he exchange rae evoluion

More information

Lecture 6 - Testing Restrictions on the Disturbance Process (References Sections 2.7 and 2.10, Hayashi)

Lecture 6 - Testing Restrictions on the Disturbance Process (References Sections 2.7 and 2.10, Hayashi) Lecure 6 - esing Resricions on he Disurbance Process (References Secions 2.7 an 2.0, Hayashi) We have eveloe sufficien coniions for he consisency an asymoic normaliy of he OLS esimaor ha allow for coniionally

More information

ANALYSIS OF SOME SAFETY ASSESSMENT STANDARD ON GROUNDING SYSTEMS

ANALYSIS OF SOME SAFETY ASSESSMENT STANDARD ON GROUNDING SYSTEMS ANAYSIS OF SOME SAFETY ASSESSMENT STANDARD ON GROUNDING SYSTEMS Shang iqun, Zhang Yan, Cheng Gang School of Elecrical and Conrol Engineering, Xi an Univeriy of Science & Technology, 710054, Xi an, China,

More information

Web Appendix N - Derivations of the Properties of the LaplaceTransform

Web Appendix N - Derivations of the Properties of the LaplaceTransform M. J. Robers - 2/18/07 Web Appenix N - Derivaions of he Properies of he aplacetransform N.1 ineariy e z= x+ y where an are consans. Then = x+ y Zs an he lineariy propery is N.2 Time Shifing es = xe s +

More information

Output Tracking Combing Output Redefinition and Non-causal Stable Inversion for Non-minimum Systems

Output Tracking Combing Output Redefinition and Non-causal Stable Inversion for Non-minimum Systems Op racking Combing Op Reefiniion an Non-caal Sable Inverion for Non-imm Syem Xeha Zhang Shan Li College of Conrol Science an Engineering Zheiang Univeriy Hangzho 327 E-mail: li@iipc.z.e.cn Abrac: A meho

More information

TOPOLOGY OPTIMIZATION OF COMPLIANT MECHANISM DESIGN WITH STA- TIONARY FLUID-STRUCTURE INTERACTION

TOPOLOGY OPTIMIZATION OF COMPLIANT MECHANISM DESIGN WITH STA- TIONARY FLUID-STRUCTURE INTERACTION Blucher Mechanical Engineering Proceeding May 2014, vol. 1, num. 1 www.roceeding.blucher.com.br/eveno/10wccm TOPOLOGY OPTIMIZATION OF COMPLIANT MECHANISM DESIGN WITH STA- TIONARY FLUID-STRUCTURE INTERACTION

More information

Research Article On Double Summability of Double Conjugate Fourier Series

Research Article On Double Summability of Double Conjugate Fourier Series Inernaional Journal of Mahemaic and Mahemaical Science Volume 22, Aricle ID 4592, 5 page doi:.55/22/4592 Reearch Aricle On Double Summabiliy of Double Conjugae Fourier Serie H. K. Nigam and Kuum Sharma

More information

Graphs III - Network Flow

Graphs III - Network Flow Graph III - Nework Flow Flow nework eup graph G=(V,E) edge capaciy w(u,v) 0 - if edge doe no exi, hen w(u,v)=0 pecial verice: ource verex ; ink verex - no edge ino and no edge ou of Aume every verex v

More information

Settling Time Design and Parameter Tuning Methods for Finite-Time P-PI Control

Settling Time Design and Parameter Tuning Methods for Finite-Time P-PI Control Journal of Conrol Science an Engineering (6) - oi:.765/8-/6.. D DAVID PUBLISHING Seling ime Design an Parameer uning Mehos for Finie-ime P-PI Conrol Keigo Hiruma, Hisaazu Naamura an Yasuyui Saoh. Deparmen

More information

ECSE 4440 Control System Engineering. Project 1. Controller Design of a Second Order System TA

ECSE 4440 Control System Engineering. Project 1. Controller Design of a Second Order System TA ECSE 4440 Control Sytem Enineerin Project 1 Controller Dein of a Secon Orer Sytem TA Content 1. Abtract. Introuction 3. Controller Dein for a Sinle Penulum 4. Concluion 1. Abtract The uroe of thi roject

More information

Algorithmic Discrete Mathematics 6. Exercise Sheet

Algorithmic Discrete Mathematics 6. Exercise Sheet Algorihmic Dicree Mahemaic. Exercie Shee Deparmen of Mahemaic SS 0 PD Dr. Ulf Lorenz 7. and 8. Juni 0 Dipl.-Mah. David Meffer Verion of June, 0 Groupwork Exercie G (Heap-Sor) Ue Heap-Sor wih a min-heap

More information

More on ODEs by Laplace Transforms October 30, 2017

More on ODEs by Laplace Transforms October 30, 2017 More on OE b Laplace Tranfor Ocober, 7 More on Ordinar ifferenial Equaion wih Laplace Tranfor Larr areo Mechanical Engineering 5 Seinar in Engineering nali Ocober, 7 Ouline Review la cla efiniion of Laplace

More information

Figure 1 Siemens PSSE Web Site

Figure 1 Siemens PSSE Web Site Stability Analyi of Dynamic Sytem. In the lat few lecture we have een how mall ignal Lalace domain model may be contructed of the dynamic erformance of ower ytem. The tability of uch ytem i a matter of

More information

Randomized Perfect Bipartite Matching

Randomized Perfect Bipartite Matching Inenive Algorihm Lecure 24 Randomized Perfec Biparie Maching Lecurer: Daniel A. Spielman April 9, 208 24. Inroducion We explain a randomized algorihm by Ahih Goel, Michael Kapralov and Sanjeev Khanna for

More information

1 Motivation and Basic Definitions

1 Motivation and Basic Definitions CSCE : Deign and Analyi of Algorihm Noe on Max Flow Fall 20 (Baed on he preenaion in Chaper 26 of Inroducion o Algorihm, 3rd Ed. by Cormen, Leieron, Rive and Sein.) Moivaion and Baic Definiion Conider

More information

CHAPTER 7. Definition and Properties. of Laplace Transforms

CHAPTER 7. Definition and Properties. of Laplace Transforms SERIES OF CLSS NOTES FOR 5-6 TO INTRODUCE LINER ND NONLINER PROBLEMS TO ENGINEERS, SCIENTISTS, ND PPLIED MTHEMTICINS DE CLSS NOTES COLLECTION OF HNDOUTS ON SCLR LINER ORDINRY DIFFERENTIL EQUTIONS (ODE")

More information

Solutions to assignment 3

Solutions to assignment 3 D Sruure n Algorihm FR 6. Informik Sner, Telikeplli WS 03/04 hp://www.mpi-.mpg.e/~ner/oure/lg03/inex.hml Soluion o ignmen 3 Exerie Arirge i he ue of irepnie in urreny exhnge re o rnform one uni of urreny

More information

Exponential Sawtooth

Exponential Sawtooth ECPE 36 HOMEWORK 3: PROPERTIES OF THE FOURIER TRANSFORM SOLUTION. Exponenial Sawooh: The eaie way o do hi problem i o look a he Fourier ranform of a ingle exponenial funcion, () = exp( )u(). From he able

More information

CSC 364S Notes University of Toronto, Spring, The networks we will consider are directed graphs, where each edge has associated with it

CSC 364S Notes University of Toronto, Spring, The networks we will consider are directed graphs, where each edge has associated with it CSC 36S Noe Univeriy of Torono, Spring, 2003 Flow Algorihm The nework we will conider are direced graph, where each edge ha aociaed wih i a nonnegaive capaciy. The inuiion i ha if edge (u; v) ha capaciy

More information

Exercises, Part IV: THE LONG RUN

Exercises, Part IV: THE LONG RUN Exercie, Par IV: THE LOG RU 4. The olow Growh Model onider he olow rowh model wihou echnoloy prore and wih conan populaion. a) Define he eady ae condiion and repreen i raphically. b) how he effec of chane

More information

Lower and Upper Approximation of Fuzzy Ideals in a Semiring

Lower and Upper Approximation of Fuzzy Ideals in a Semiring nernaional Journal of Scienific & Engineering eearch, Volume 3, ue, January-0 SSN 9-558 Lower and Upper Approximaion of Fuzzy deal in a Semiring G Senhil Kumar, V Selvan Abrac n hi paper, we inroduce he

More information

13.1 Accelerating Objects

13.1 Accelerating Objects 13.1 Acceleraing Objec A you learned in Chaper 12, when you are ravelling a a conan peed in a raigh line, you have uniform moion. However, mo objec do no ravel a conan peed in a raigh line o hey do no

More information

Discussion Session 2 Constant Acceleration/Relative Motion Week 03

Discussion Session 2 Constant Acceleration/Relative Motion Week 03 PHYS 100 Dicuion Seion Conan Acceleraion/Relaive Moion Week 03 The Plan Today you will work wih your group explore he idea of reference frame (i.e. relaive moion) and moion wih conan acceleraion. You ll

More information

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems Essenial Microeconomics -- 6.5: OPIMAL CONROL Consider he following class of opimizaion problems Max{ U( k, x) + U+ ( k+ ) k+ k F( k, x)}. { x, k+ } = In he language of conrol heory, he vecor k is he vecor

More information

Semi-empirical model for a hydraulic servo-solenoid valve

Semi-empirical model for a hydraulic servo-solenoid valve Semi-empirical model for a hydraulic ervo-olenoid valve J. A. Ferreira*, F. Gome de Almeida** and M. R. Quina** *Deparmen of Mechanical Engineering, Univeriy of Aveiro, Porugal **IDMEC Pólo FEUP, Univeriy

More information

NEUTRON DIFFUSION THEORY

NEUTRON DIFFUSION THEORY NEUTRON DIFFUSION THEORY M. Ragheb 4//7. INTRODUCTION The diffuion heory model of neuron ranpor play a crucial role in reacor heory ince i i imple enough o allow cienific inigh, and i i ufficienly realiic

More information

The stable manifold approach for optimal swing up and stabilization of an inverted pendulum with input saturation

The stable manifold approach for optimal swing up and stabilization of an inverted pendulum with input saturation Conrol Sysems Enineerin Aerosace Enineerin UNIERSIY he sable manifold aroach for oimal swin u and sabilizaion of an invered endulum wih inu sauraion Ryu Fujimoo and Noboru Saamoo Naoya Universiy IFAC World

More information

Instrumentation & Process Control

Instrumentation & Process Control Chemical Engineering (GTE & PSU) Poal Correpondence GTE & Public Secor Inrumenaion & Proce Conrol To Buy Poal Correpondence Package call a -999657855 Poal Coure ( GTE & PSU) 5 ENGINEERS INSTITUTE OF INDI.

More information

Lecture 5 Buckling Buckling of a structure means failure due to excessive displacements (loss of structural stiffness), and/or

Lecture 5 Buckling Buckling of a structure means failure due to excessive displacements (loss of structural stiffness), and/or AOE 204 Inroducion o Aeropace Engineering Lecure 5 Buckling Buckling of a rucure mean failure due o exceive diplacemen (lo of rucural iffne), and/or lo of abiliy of an equilibrium configuraion of he rucure

More information

1 Adjusted Parameters

1 Adjusted Parameters 1 Adjued Parameer Here, we li he exac calculaion we made o arrive a our adjued parameer Thee adjumen are made for each ieraion of he Gibb ampler, for each chain of he MCMC The regional memberhip of each

More information

Fractional Brownian Bridge Measures and Their Integration by Parts Formula

Fractional Brownian Bridge Measures and Their Integration by Parts Formula Journal of Mahemaical Reearch wih Applicaion Jul., 218, Vol. 38, No. 4, pp. 418 426 DOI:1.377/j.in:295-2651.218.4.9 Hp://jmre.lu.eu.cn Fracional Brownian Brige Meaure an Their Inegraion by Par Formula

More information

LAPLACE TRANSFORM AND TRANSFER FUNCTION

LAPLACE TRANSFORM AND TRANSFER FUNCTION CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION Professor Dae Ryook Yang Spring 2018 Dep. of Chemical and Biological Engineering 5-1 Road Map of he Lecure V Laplace Transform and Transfer funcions

More information

LAPLACE TRANSFORMS. 1. Basic transforms

LAPLACE TRANSFORMS. 1. Basic transforms LAPLACE TRANSFORMS. Bic rnform In hi coure, Lplce Trnform will be inroduced nd heir properie exmined; ble of common rnform will be buil up; nd rnform will be ued o olve ome dierenil equion by rnforming

More information

The Fundamental Theorems of Calculus

The Fundamental Theorems of Calculus FunamenalTheorems.nb 1 The Funamenal Theorems of Calculus You have now been inrouce o he wo main branches of calculus: ifferenial calculus (which we inrouce wih he angen line problem) an inegral calculus

More information

An Improved Suggestion in Stratified Random Sampling Using Two Auxiliary Variables

An Improved Suggestion in Stratified Random Sampling Using Two Auxiliary Variables Raje ing Dearmen of Maemaic, RM Univeriy Deli CR, onea- 309, India acin Malik Dearmen of aiic, Banara Hindu Univeriy aranai-005, India Florenin marandace Dearmen of Maemaic, Univeriy of ew Mexico Gallu,

More information

Study of simple inductive-capacitive series circuits using MATLAB software package

Study of simple inductive-capacitive series circuits using MATLAB software package ecen Advance in ircui, Syem and Auomaic onrol Sudy of imple inducive-capaciive erie circui uing MAAB ofware package NIUESU IU, PĂSUESU DAGOŞ Faculy of Mechanical and Elecrical Engineering Univeriy of Peroani

More information

Stability in Distribution for Backward Uncertain Differential Equation

Stability in Distribution for Backward Uncertain Differential Equation Sabiliy in Diribuion for Backward Uncerain Differenial Equaion Yuhong Sheng 1, Dan A. Ralecu 2 1. College of Mahemaical and Syem Science, Xinjiang Univeriy, Urumqi 8346, China heng-yh12@mail.inghua.edu.cn

More information

Homework 2 Solutions

Homework 2 Solutions Mah 308 Differenial Equaions Fall 2002 & 2. See he las page. Hoework 2 Soluions 3a). Newon s secon law of oion says ha a = F, an we know a =, so we have = F. One par of he force is graviy, g. However,

More information

Optimal State-Feedback Control Under Sparsity and Delay Constraints

Optimal State-Feedback Control Under Sparsity and Delay Constraints Opimal Sae-Feedback Conrol Under Spariy and Delay Conrain Andrew Lamperki Lauren Leard 2 3 rd IFAC Workhop on Diribued Eimaion and Conrol in Neworked Syem NecSy pp. 24 29, 22 Abrac Thi paper preen he oluion

More information

Chapter 6. Laplace Transforms

Chapter 6. Laplace Transforms Chaper 6. Laplace Tranform Kreyzig by YHLee;45; 6- An ODE i reduced o an algebraic problem by operaional calculu. The equaion i olved by algebraic manipulaion. The reul i ranformed back for he oluion of

More information

Analysis the Transient Process of Wind Power Resources when there are Voltage Sags in Distribution Grid

Analysis the Transient Process of Wind Power Resources when there are Voltage Sags in Distribution Grid Analyi the Tranient Proce of Wind Power Reource when there are Voltage Sag in Ditribution Grid Do Nhu Y 1,* 1 Hanoi Univerity of ining and Geology, Deartment of Electrification, Electromechanic Faculty,

More information

Performance Comparison of LCMV-based Space-time 2D Array and Ambiguity Problem

Performance Comparison of LCMV-based Space-time 2D Array and Ambiguity Problem Inernaional journal of cience Commerce and umaniie Volume No 2 No 3 April 204 Performance Comparion of LCMV-baed pace-ime 2D Arra and Ambigui Problem 2 o uan Chang and Jin hinghia Deparmen of Communicaion

More information

A Novel Hysteresis Control Technique of VSI Based STATCOM R.A.Kantaria 1, Student Member, IEEE, S.K.Joshi 2, K.R.Siddhapura 3

A Novel Hysteresis Control Technique of VSI Based STATCOM R.A.Kantaria 1, Student Member, IEEE, S.K.Joshi 2, K.R.Siddhapura 3 A Novel Hyerei Conrol Technique o VSI Baed STATCOM R.A.Kanaria, Suden Member, IEEE, S.K.Johi, K.R.Siddhapura 3 Abrac:-The Saic Synchronou Compenaor (STATCOM) i increaingly popular in power qualiy applicaion.

More information

CHAPTER HIGHER-ORDER SYSTEMS: SECOND-ORDER AND TRANSPORTATION LAG. 7.1 SECOND-ORDER SYSTEM Transfer Function

CHAPTER HIGHER-ORDER SYSTEMS: SECOND-ORDER AND TRANSPORTATION LAG. 7.1 SECOND-ORDER SYSTEM Transfer Function CHAPTER 7 HIGHER-ORDER SYSTEMS: SECOND-ORDER AND TRANSPORTATION LAG 7. SECOND-ORDER SYSTEM Tranfer Funcion Thi ecion inroduce a baic yem called a econd-order yem or a quadraic lag. Second-order yem are

More information

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER John Riley 6 December 200 NWER TO ODD NUMBERED EXERCIE IN CHPTER 7 ecion 7 Exercie 7-: m m uppoe ˆ, m=,, M (a For M = 2, i i eay o how ha I implie I From I, for any probabiliy vecor ( p, p 2, 2 2 ˆ ( p,

More information

Adaptive Noise Estimation Based on Non-negative Matrix Factorization

Adaptive Noise Estimation Based on Non-negative Matrix Factorization dvanced cience and Technology Leers Vol.3 (ICC 213), pp.159-163 hp://dx.doi.org/1.14257/asl.213 dapive Noise Esimaion ased on Non-negaive Marix Facorizaion Kwang Myung Jeon and Hong Kook Kim chool of Informaion

More information

A STUDY ON COMPLICATED ROLL MOTION OF A SHIP EQUIPPED WITH AN ANTI-ROLLING TANK

A STUDY ON COMPLICATED ROLL MOTION OF A SHIP EQUIPPED WITH AN ANTI-ROLLING TANK 607 A STUDY ON COMPLICATED ROLL MOTION OF A SHIP EQUIPPED WITH AN ANTI-ROLLING TANK Harukuni Taguchi, Hirohi Sawada and Kauji Tanizawa Naional Mariime Reearch Iniue (JAPAN) Abrac Nonlinear roll moion of

More information

2.0 ANALYTICAL MODELS OF THERMAL EXCHANGES IN THE PYRANOMETER

2.0 ANALYTICAL MODELS OF THERMAL EXCHANGES IN THE PYRANOMETER 2.0 ANAYTICA MODE OF THERMA EXCHANGE IN THE PYRANOMETER In Chapter 1, it wa etablihe that a better unertaning of the thermal exchange within the intrument i neceary to efine the quantitie proucing an offet.

More information

Mathematische Annalen

Mathematische Annalen Mah. Ann. 39, 33 339 (997) Mahemaiche Annalen c Springer-Verlag 997 Inegraion by par in loop pace Elon P. Hu Deparmen of Mahemaic, Norhweern Univeriy, Evanon, IL 628, USA (e-mail: elon@@mah.nwu.edu) Received:

More information

Physics 218 Exam 1. with Solutions Fall 2010, Sections Part 1 (15) Part 2 (20) Part 3 (20) Part 4 (20) Bonus (5)

Physics 218 Exam 1. with Solutions Fall 2010, Sections Part 1 (15) Part 2 (20) Part 3 (20) Part 4 (20) Bonus (5) Physics 18 Exam 1 wih Soluions Fall 1, Secions 51-54 Fill ou he informaion below bu o no open he exam unil insruce o o so! Name Signaure Suen ID E-mail Secion # ules of he exam: 1. You have he full class

More information

General Solution for Linearized Error Propagation in Vehicle Odometry

General Solution for Linearized Error Propagation in Vehicle Odometry General Soluion for Linearize Error Propagaion in Vehicle Oomery Alonzo Kelly Roboic Iniue, Carnegie Mellon Univeriy, Piburgh, PA 15213-389, alonzo@ri.cmu.eu Abrac Alhough oomery i nonlinear, i yiel ufficienly

More information