Variable-poled Tracking Control of a Two-wheeled Mobile Robot Using Differential Flatness

Size: px
Start display at page:

Download "Variable-poled Tracking Control of a Two-wheeled Mobile Robot Using Differential Flatness"

Transcription

1 Jornal of Roboics Neworing Arificial Life Vol No (Jne 04) -6 Variable-pole racing Conrol of a wo-wheele Mobile Robo Using Differenial Flaness Liming Chen Yingmin Jia he Sevenh Research Division Beihang Universi (BUAA) Beijing 009 China s: clmes@6com mjia@baaecn Absrac his paper invesigaes he racing conrol of a wo-wheele mobile robo in boh inemaic namic moels Differenial flaness PD-specral heor are se for conroller esign Base on ifferenial flaness he original ssem is ransforme via a sae prolongaion a sae ransformaion ino a normal form o appl feebac lineariaion hen sing PD-specral heor variable poles of racing error namics are assigne o realie he sabili of rajecor racing Simlaion resls are presene o emonsrae he effeciveness of he propose meho Kewors: mobile robo nonlinear conrol rajecor racing ifferenial flaness Inrocion Wheele mobile robos have been proven o be one of he mos acive areas of research since he are mch sefl in varieies of applicaions ranging from insrial seings o miliar ssems o home roboics ec One of he main lines of research is he rajecor racing problem which is concerne wih riving a mobile robo as close as possible o a esire eplici rajecor An he racing conrol approaches incle bacsepping sliing moe conrol lineariaion 3 neral newor-base conrol 4 f conrol 5 ifferenial flaness-base conrol 6-8 which is also se in his paper Differenial flaness has been inroce b Fliess e al 9 I is a ver sefl ool for nonlinear conroller esign Roghl speaing a ssem is iffereniall fla if here eiss variables of he same imension as inps calle fla op sch ha saes inps can be algebraicall epresse in erms of fla op is erivaives Moreover his mapping is inverible he ssem is eqivalen o a linear one If he esire rajecor of fla op is given hen b performing a feebac lineariaion esigning a ime invarian conroller for he linearie ssem aron he esire rajecor sable racing error namics are achieve Kinemaic moel namic moel of a wo-wheele mobile robo have been proven o be iffereniall fla b choosing he cener posiion of he wheel ale of he robo as he fla op In Refs 7 8 conrollers are esigne in his scheme However in hese conrollers he parameers of he racing error namics are consan which means ha he convergence spee of racing error is fie his brings limiaion for his meho In his paper he se of PD-specral heor of linear ime-varing (LV) ssems is propose for racing conroller esign he PD-specral heor has been evelope b Zh 0 which can be seen as a naral eension of he convenional eigenvale-eigenvecor heor for linear ime-invarian (LI) ssems Afer he sae ransformaion base on ifferenial flaness he Pblishe b Alanis Press Coprigh: he ahors

2 L Chen Y Jia applicaion of PD-specral heor becomes mch easier B assigning ime-varing poles more generalie racing error namics can be obaine An he poles can be change a an ime as we wan he res of his paper is organie as follows: In secion he inemaic moel namic moel of a wo-wheele mobile robo are erive anale wih ifferenial flaness Secion 3 presens he esign of conrol law in boh moels Simlaion resls are shown in secion 4 Finall concling remars are given in secion 5 Moels of wo-wheele Mobile Robo wih Differenial Flaness Kinemaic moel Fig he configraion of a wo-wheele mobile robo wih no slip Fig shows ha he robo's configraion in Caresian coorinaes is given b q [ ] where ( ) is he coorinaes of he cener of he wheel ale is he heaing angle of he robo Wih he assmpion of noslip coniion a he wheel conac poins he veloci of he wheel ceners are parallel o he heaing orienaion hen he inemaic moel can be wrien as cos 0 v q S( q) v sin 0 () 0 where v is he heaing spee rning spee o oline how he inemaic moel of he wowheele mobile robo is iffereniall fla we nee o selec siable fla ops epress all sae variables inps in erms of he fla ops heir erivaives he imensions of fla ops shol be eqal o ha of he inps Here we can choose he cener posiion of he wheel ale ( ) as he fla ops ( ) Wih he chosen fla ops he saes can be epresse as arcan he wo inps can be wrien as v I can be noice ha he epression of sae conains he firs orer erivaives of boh he fla ops Accoring o ifferenial flaness heor he ssem () nee o be eene o 4 imensions Appl one prolongaion of v b consiering i as an aiional sae hen he eene ssem is given b vcos v () vsin where are new inps of he eene ssem he new inps can be calclae as (3) he eene ssem () can be ransforme via a sae ransformaion [ ] v [ ] ino a normal form cos(arcan ) sin(arcan ) (4) sin(arcan ) cos(arcan ) Since he epressions of new inps in (3) are erive from he ssem eqaions () he sae ransformaion ensres ha (3) saisfies he eqaions (4) B replacing in (3) wih respecivel: (5) where are parameers o be esigne sbsiing (5) ino he ssem eqaions (4) one ges (6) Acall if onl he saes of he original ssem () [ v ] can be esimae sing he relaionship of sae ransformaion he inps (5) can be rewrien as cos sin ( cos sin ) / v (7) Pblishe b Alanis Press Coprigh: he ahors 3

3 Wheele Robo s racing Conrol Dnamic moel B ignoring he mass of he wheels he eqaions of moion can be erive sing Eler-Lagrange meho as M( qq ) C( qqq ) E( q) C ( q) (8) where m 0 m sin r M 0 m m cos l m sin m cos m I (9) 0 0 m cos cos cos C 0 0 m sin E sin sin r b b Here m is he robo mass I he momen of ineria of he robo abo is cener of mass he isance beween he cener of mass he cener of he wheel ale r he wheel rais b half isance beween he wo wheels l r he moor orqes on he wheels he consrain force B iffereniaing () one ges q S vsv hen b sbsiing q ino (8) pre-mlipling b S sing he proper S C 0 one can have v ( S MS) S ( MS CS) v( S MS) S E (0) his can finall be calclae as v A( v) Bτ where mr mr A( v ) m v B b b m I r( m I) r( m I) Afer inrocing an inp ransformaion [ ] A( v) Bτ he namic moel can be wrien as q S( q) v v () Here we can also choose he cener posiion of he wheel ale ( ) as he fla ops ( ) hen all sae variables inps can be epresse in erms of he fla ops heir erivaives he epression of sae conains he secon orer erivaives of boh he fla ops which means ha he ssem () nee o be eene o 6 imensions so ha i can be ransforme ino a normal form via a sae ransformaion On appling one prolongaion of he eene ssem is given b vcos v () vsin where are new inps of he eene ssem he sae ransformaion can be wrien as [ ] v [ ] Now we calclae he hir orer erivaives of he fla ops irecl sing () as C D (3) where cos sin sin v cos v C D sin cos cos v sin v (4) B replacing wih his iels 3 Design of Conrol Law ( C) D 3 Inrocion of PD-specral heor 0 respecivel (5) Consier SISO LV ssems represene b he n horer scalar LV namical ssems of he form: ( n) ( n) () () () 0 (6) n I can be convenienl represene as D {} 0sing he scalar polnomial ifferenial operaor (SPDO) n n D n () () () (7) where / is he erivaive operaor he facoriaion of SPDO can be represene as D ( n ( )) ( ( ))( ( )) (8) where a collecion { ( )} n is calle a series D- specrm(sd-specrm) for D an n-parameer famil { ( ) ( )} n is calle a parallel D- specrm(pd-specrm) for D where () are n pariclar solions for () saisfing some nonlinear inepenen consrains Acall { ( ) ep( ( ) )} n consies a fnamenal se of solions o D {} 0 he solion o D {} 0 is niforml asmpoicall sable if (i) all PD-eigenvales are of polnomial orer or slower ha is an ineger m 0 eiss sch ha () lim 0 ; m Pblishe b Alanis Press Coprigh: he ahors 4

4 L Chen Y Jia (ii) he eene means of real pars of PD-eigenvales 0 ha is em(re ( )) lim Re ( ) are all 0 negaive 3 Conrol law of inemaic moel If he esire rajecor of fla ops ( ) are given b ( ( ) ( )) racing error can be inroce as e [ e e e e] [ ] Using (6) parameers can be esigne as () e () e (9) () e () e which iels e () e () e 0 (0) e () e () e 0 PD-specral heor is se o esign hese ime-varing conrol gains o ensre he error namics o be niforml asmpoicall sable Firs appropriae ime-varing PD-eigenvales which saisf (i) (ii) are esigne as hen corresponing SD-eigenvales can be calclae as Using (8) we obain () () () () can be esigne in he same wa 33 Conrol law of namic moel Similarl if he esire rajecor of fla ops are given b ( ( ) ( )) racing error e [ e e e e e e] [ ] hen parameers can be esigne as () e () e3() e () () e () e3() e B esigning appropriae PD-eigenvales 3 SD-eigenvales can be calclae as V V 3 V 3 3 where V V V V 3 V3 e hen conrol gains are obaine b () 3 3 () () () () () 3 can be esigne in he same wa 4 Simlaion Resl he esire rajecor is given b () (m) () (m) over [0 0](s) In he inemaic moel iniial saes are se as [ (0) (0) v(0) (0)] [ ] I shol be poine o ha he aiional sae v is in he conroller PD-eigenvales are selece as ( 05 ) ( 05 ) i ( 05 ) ( 05 ) i Fig (a) shows ha he mobile robo graall converges o Fig Desire rajecor racing rajecor: (a)kinemaic moel (b)dnamic moel Fig3 Kinemaic moel: (a)racing error e (b)racing error e (c)heaing spee v ()rning spee Pblishe b Alanis Press Coprigh: he ahors 5

5 Acnowlegemens Wheele Robo s racing Conrol his wor was sppore b he Naional Basic Research Program of China (973 Program: 0CB800 0CB80) he NSFC ( ) Fig4 Dnamic moel: (a)racing error e (b)racing error e (c)ransforme inp ()ransforme inp he esire rajecor finall moves along i Fig 3 emonsraes he racing errors e e which converge o ero he conrol inps v In he namic moel [ (0) (0) v(0) (0) (0) (0)] [ ] Conroller is esigne wih PD-eigenvales (05 ) ( 05 i ) (05 ) ( 05 ) i 3 05 Fig (b) shows he racing rajecor Fig 4 epics he racing errors he ransforme inps 5 Conclsion In his paper we have presene a novel meho for rajecor racing conrol of a wo-wheele mobile robo in is inemaic moel namic moel Base on ifferenial flaness he ssems can be ransforme ino normal forms o se feebac lineariaion he applicaion of PD-specral heor ensres he sabili of he racing error namics esablishes ajsable poles o change as we wan References R Fierro F V Lewis Conrol of a non-holonomic mobile robo: bacsepping inemaics ino namics J Robo Ss 4(3) (997) J M Yang J H Kim Sliing moe conrol for rajecor racing of nonholonomic wheele mobile robos IEEE rans Robo Aom 5(3) (999) D H Kim J H Oh racing conrol of a wowheele mobile robo sing inp-op lineariaion Conr Eng Prac 7(3) (999) V Boqee R Garcia R Barea M Mao Neral conrol of he movemens of a wheel-chair J Inell Robo Ss 5(3) (999) Das I N Kar Design implemenaion of an aapive f logic-base conroller for wheele mobile robos IEEE rans Conr Ss echnol 4(3) (006) Chn-Hs Ko Snil K Agrawal Wal-assis robo: a novel approach o gain selecion of a braing conroller sing ifferenial flaness American Conrol Conference (Marrio Waerfron Balimore 00) pp Chin Pei ang Differenial flaness-base inemaic namic conrol of a iffereniall riven wheele mobile robo in Proc IEEE In Conf Roboics Biomimeics (Gilin China 009) pp Ji-Chl R Snil K Agrawal Differenial flanessbase robs conrol of a wo-wheele mobile robo in he presence of slip in Proc DSCC ASME Dnamic Ssems Conrol Conference (Ann Arbor Michigan USA 008) pp -7 9 M Fliess J Lévine Ph Marin P Rochon Flaness efec of non-linear ssems: inrocion heor eamples Inernaional Jornal of Conrol 6(6) (995) J Zh A nifie specral heor for linear ime-varing ssems--progress challenges in Proc IEEE Conf Decision Conrol (New Orleans LA 995) pp Pblishe b Alanis Press Coprigh: he ahors 6

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

Hyperchaos Synchronization Between two Different Hyperchaotic Systems

Hyperchaos Synchronization Between two Different Hyperchaotic Systems ISSN 76-769, England, UK Journal of Informaion and Compuing Science Vo3, No., 8, pp. 73-8 Hperchaos Snchroniaion Beween wo Differen Hperchaoic Ssems Qiang Jia + Facul of Science, Jiangsu Universi, Zhenjiang,

More information

, u denotes uxt (,) and u. mean first partial derivatives of u with respect to x and t, respectively. Equation (1.1) can be simply written as

, u denotes uxt (,) and u. mean first partial derivatives of u with respect to x and t, respectively. Equation (1.1) can be simply written as Proceedings of he rd IMT-GT Regional Conference on Mahemaics Saisics and Applicaions Universii Sains Malaysia ANALYSIS ON () + () () = G( ( ) ()) Jessada Tanhanch School of Mahemaics Insie of Science Sranaree

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

CSE 5365 Computer Graphics. Take Home Test #1

CSE 5365 Computer Graphics. Take Home Test #1 CSE 5365 Comper Graphics Take Home Tes #1 Fall/1996 Tae-Hoon Kim roblem #1) A bi-cbic parameric srface is defined by Hermie geomery in he direcion of parameer. In he direcion, he geomery ecor is defined

More information

Formulation of the Stress Distribution Due to a Concentrated Force Acting on the Boundary of Viscoelastic Half-Space

Formulation of the Stress Distribution Due to a Concentrated Force Acting on the Boundary of Viscoelastic Half-Space Formulaion of he Sress Disribuion Due o a Concenraed Force Acing on he Boundar of Viscoelasic Half-Space Yun eng and Debao Zhou Deparmen of Mechanical and Indusrial Engineering Universi of Minnesoa, Duluh

More information

Uncertainty & Localization I

Uncertainty & Localization I Advanced Roboics Uncerain & Localiaion I Moivaion Inrodcion basics represening ncerain Gassian Filers Kalman Filer eended Kalman Filer nscened Kalman Filer Agenda Localiaion Eample For Legged Leage Non-arameric

More information

CSE-4303/CSE-5365 Computer Graphics Fall 1996 Take home Test

CSE-4303/CSE-5365 Computer Graphics Fall 1996 Take home Test Comper Graphics roblem #1) A bi-cbic parameric srface is defined by Hermie geomery in he direcion of parameer. In he direcion, he geomery ecor is defined by a poin @0, a poin @0.5, a angen ecor @1 and

More information

Scalar Conservation Laws

Scalar Conservation Laws MATH-459 Nmerical Mehods for Conservaion Laws by Prof. Jan S. Heshaven Solion se : Scalar Conservaion Laws Eercise. The inegral form of he scalar conservaion law + f ) = is given in Eq. below. ˆ 2, 2 )

More information

Outline of Topics. Analysis of ODE models with MATLAB. What will we learn from this lecture. Aim of analysis: Why such analysis matters?

Outline of Topics. Analysis of ODE models with MATLAB. What will we learn from this lecture. Aim of analysis: Why such analysis matters? of Topics wih MATLAB Shan He School for Compuaional Science Universi of Birmingham Module 6-3836: Compuaional Modelling wih MATLAB Wha will we learn from his lecure Aim of analsis: Aim of analsis. Some

More information

( ) ( ) ( ) ( u) ( u) = are shown in Figure =, it is reasonable to speculate that. = cos u ) and the inside function ( ( t) du

( ) ( ) ( ) ( u) ( u) = are shown in Figure =, it is reasonable to speculate that. = cos u ) and the inside function ( ( t) du Porlan Communiy College MTH 51 Lab Manual The Chain Rule Aciviy 38 The funcions f ( = sin ( an k( sin( 3 38.1. Since f ( cos( k ( = cos( 3. Bu his woul imply ha k ( f ( = are shown in Figure =, i is reasonable

More information

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow 1 KEY Mah 4 Miderm I Fall 8 secions 1 and Insrucor: Sco Glasgow Please do NOT wrie on his eam. No credi will be given for such work. Raher wrie in a blue book, or on our own paper, preferabl engineering

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

4.2 Continuous-Time Systems and Processes Problem Definition Let the state variable representation of a linear system be

4.2 Continuous-Time Systems and Processes Problem Definition Let the state variable representation of a linear system be 4 COVARIANCE ROAGAION 41 Inrodcion Now ha we have compleed or review of linear sysems and random processes, we wan o eamine he performance of linear sysems ecied by random processes he sandard approach

More information

Equivalence Problem of the Painlevé Equations

Equivalence Problem of the Painlevé Equations Advances in Pure Mahemaics 0 97-0 hp://ddoiorg/06/apm00 Pulished Online March 0 (hp://wwwscirporg/journal/apm) Equivalence Prolem of he Painlevé Equaions Sopia Khamrod Deparmen of Mahemaics Facul of Science

More information

Introduction to Bayesian Estimation. McGill COMP 765 Sept 12 th, 2017

Introduction to Bayesian Estimation. McGill COMP 765 Sept 12 th, 2017 Inrodcion o Baesian Esimaion McGill COM 765 Sep 2 h 207 Where am I? or firs core problem Las class: We can model a robo s moions and he world as spaial qaniies These are no perfec and herefore i is p o

More information

ME 425: Aerodynamics

ME 425: Aerodynamics ME 45: Aerodnamics Dr. A.B.M. Toiqe Hasan Proessor Deparmen o Mechanical Engineering Bangladesh Uniersi o Engineering & Technolog BUET, Dhaka Lecre-7 Fndamenals so Aerodnamics oiqehasan.be.ac.bd oiqehasan@me.be.ac.bd

More information

ESTIMATION OF DYNAMIC PANEL DATA MODELS WHEN REGRESSION COEFFICIENTS AND INDIVIDUAL EFFECTS ARE TIME-VARYING

ESTIMATION OF DYNAMIC PANEL DATA MODELS WHEN REGRESSION COEFFICIENTS AND INDIVIDUAL EFFECTS ARE TIME-VARYING Inernaional Journal of Social Science and Economic Research Volume:02 Issue:0 ESTIMATION OF DYNAMIC PANEL DATA MODELS WHEN REGRESSION COEFFICIENTS AND INDIVIDUAL EFFECTS ARE TIME-VARYING Chung-ki Min Professor

More information

Riemann Function and Methods of Group Analysis

Riemann Function and Methods of Group Analysis American Research Jornal of Mahemaics Original Aricle ISSN 378-74X Volme Isse 3 5 Riemann Fncion and Mehods of Grop Analsis Akimov Andre Chernov Igor Abdllina Rfina 3 4533 Serliamak Rssia Lenina sree 47A

More information

PH2130 Mathematical Methods Lab 3. z x

PH2130 Mathematical Methods Lab 3. z x PH130 Mahemaical Mehods Lab 3 This scrip shold keep yo bsy for he ne wo weeks. Yo shold aim o creae a idy and well-srcred Mahemaica Noebook. Do inclde plenifl annoaions o show ha yo know wha yo are doing,

More information

Kinematics and kinematic functions

Kinematics and kinematic functions Kinemaics and kinemaic funcions Kinemaics deals wih he sudy of four funcions (called kinemaic funcions or KFs) ha mahemaically ransform join variables ino caresian variables and vice versa Direc Posiion

More information

A Mathematical model to Solve Reaction Diffusion Equation using Differential Transformation Method

A Mathematical model to Solve Reaction Diffusion Equation using Differential Transformation Method Inernaional Jornal of Mahemaics Trends and Technology- Volme Isse- A Mahemaical model o Solve Reacion Diffsion Eqaion sing Differenial Transformaion Mehod Rahl Bhadaria # A.K. Singh * D.P Singh # #Deparmen

More information

The motions of the celt on a horizontal plane with viscous friction

The motions of the celt on a horizontal plane with viscous friction The h Join Inernaional Conference on Mulibody Sysem Dynamics June 8, 18, Lisboa, Porugal The moions of he cel on a horizonal plane wih viscous fricion Maria A. Munisyna 1 1 Moscow Insiue of Physics and

More information

Problem set 6: Solutions Math 207A, Fall x 0 2 x

Problem set 6: Solutions Math 207A, Fall x 0 2 x Problem se 6: Soluions Mah 7A, Fall 14 1 Skech phase planes of he following linear ssems: 4 a = ; 9 4 b = ; 9 1 c = ; 1 d = ; 4 e = ; f = 1 3 In each case, classif he equilibrium, =, as a saddle poin,

More information

ψ(t) = V x (0)V x (t)

ψ(t) = V x (0)V x (t) .93 Home Work Se No. (Professor Sow-Hsin Chen Spring Term 5. Due March 7, 5. This problem concerns calculaions of analyical expressions for he self-inermediae scaering funcion (ISF of he es paricle in

More information

The fundamental mass balance equation is ( 1 ) where: I = inputs P = production O = outputs L = losses A = accumulation

The fundamental mass balance equation is ( 1 ) where: I = inputs P = production O = outputs L = losses A = accumulation Hea (iffusion) Equaion erivaion of iffusion Equaion The fundamenal mass balance equaion is I P O L A ( 1 ) where: I inpus P producion O oupus L losses A accumulaion Assume ha no chemical is produced or

More information

first-order circuit Complete response can be regarded as the superposition of zero-input response and zero-state response.

first-order circuit Complete response can be regarded as the superposition of zero-input response and zero-state response. Experimen 4:he Sdies of ransiional processes of 1. Prpose firs-order circi a) Use he oscilloscope o observe he ransiional processes of firs-order circi. b) Use he oscilloscope o measre he ime consan of

More information

The Traveling Salesman and a Tale of Four Cities 1 Summer Undergraduate Mathematical Sciences Research Institute

The Traveling Salesman and a Tale of Four Cities 1 Summer Undergraduate Mathematical Sciences Research Institute Te Traeling Salesman an a Tale of For Ciies Smmer Unergraae Maemaical Sciences Researc Insie Melissa Desarlais Alma College Te raeling salesman problem is an applicaion of grap eor in wic a raeling salesman

More information

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon 3..3 INRODUCION O DYNAMIC OPIMIZAION: DISCREE IME PROBLEMS A. he Hamilonian and Firs-Order Condiions in a Finie ime Horizon Define a new funcion, he Hamilonian funcion, H. H he change in he oal value of

More information

This is an example to show you how SMath can calculate the movement of kinematic mechanisms.

This is an example to show you how SMath can calculate the movement of kinematic mechanisms. Dec :5:6 - Kinemaics model of Simple Arm.sm This file is provided for educaional purposes as guidance for he use of he sofware ool. I is no guaraeed o be free from errors or ommissions. The mehods and

More information

Basilio Bona ROBOTICA 03CFIOR 1

Basilio Bona ROBOTICA 03CFIOR 1 Indusrial Robos Kinemaics 1 Kinemaics and kinemaic funcions Kinemaics deals wih he sudy of four funcions (called kinemaic funcions or KFs) ha mahemaically ransform join variables ino caresian variables

More information

Derivatives of Inverse Trig Functions

Derivatives of Inverse Trig Functions Derivaives of Inverse Trig Fncions Ne we will look a he erivaives of he inverse rig fncions. The formlas may look complicae, b I hink yo will fin ha hey are no oo har o se. Yo will js have o be carefl

More information

Second-Order Differential Equations

Second-Order Differential Equations WWW Problems and Soluions 3.1 Chaper 3 Second-Order Differenial Equaions Secion 3.1 Springs: Linear and Nonlinear Models www m Problem 3. (NonlinearSprings). A bod of mass m is aached o a wall b means

More information

Chapter 2. First Order Scalar Equations

Chapter 2. First Order Scalar Equations Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.

More information

Kinematics of Wheeled Robots

Kinematics of Wheeled Robots 1 Kinemaics of Wheeled Robos hps://www.ouube.com/wach?=gis41ujlbu 2 Wheeled Mobile Robos robo can hae one or more wheels ha can proide seering direcional conrol power eer a force agains he ground an ideal

More information

Lecture 8 Backlash and Quantization. Material. Linear and Angular Backlash. Example: Parallel Kinematic Robot. Backlash.

Lecture 8 Backlash and Quantization. Material. Linear and Angular Backlash. Example: Parallel Kinematic Robot. Backlash. Lecre 8 Backlash and Qanizaion Maerial Toda s Goal: To know models and compensaion mehods for backlash Lecre slides Be able o analze he effec of qanizaion errors Noe: We are sing analsis mehods from previos

More information

The Research of Active Disturbance Rejection Control on Shunt Hybrid Active Power Filter

The Research of Active Disturbance Rejection Control on Shunt Hybrid Active Power Filter Available online a www.sciencedirec.com Procedia Engineering 29 (2) 456 46 2 Inernaional Workshop on Informaion and Elecronics Engineering (IWIEE) The Research of Acive Disrbance Rejecion Conrol on Shn

More information

An Invariance for (2+1)-Extension of Burgers Equation and Formulae to Obtain Solutions of KP Equation

An Invariance for (2+1)-Extension of Burgers Equation and Formulae to Obtain Solutions of KP Equation Commun Theor Phys Beijing, China 43 2005 pp 591 596 c Inernaional Academic Publishers Vol 43, No 4, April 15, 2005 An Invariance for 2+1-Eension of Burgers Equaion Formulae o Obain Soluions of KP Equaion

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

Kinematics in two Dimensions

Kinematics in two Dimensions Lecure 5 Chaper 4 Phsics I Kinemaics in wo Dimensions Course websie: hp://facul.uml.edu/andri_danlo/teachin/phsicsi PHYS.141 Lecure 5 Danlo Deparmen of Phsics and Applied Phsics Toda we are oin o discuss:

More information

MISSILE AUTOPILOT DESIGN USING CONTRACTION THEORY-BASED OUTPUT FEEDBACK CONTROL

MISSILE AUTOPILOT DESIGN USING CONTRACTION THEORY-BASED OUTPUT FEEDBACK CONTROL HEORY-BASED OUPU FEEDBACK CONROL Hyuck-Hoon Kwon* an Han-Lim Choi* *Deparmen of Aerospace Engineering, KAIS, Daejeon 3-7, Republic of Korea E-mail: {hhkwon, hanlimc}@lics.kais.ac.kr Keywors: conracion

More information

Kinematics in two dimensions

Kinematics in two dimensions Lecure 5 Phsics I 9.18.13 Kinemaics in wo dimensions Course websie: hp://facul.uml.edu/andri_danlo/teaching/phsicsi Lecure Capure: hp://echo36.uml.edu/danlo13/phsics1fall.hml 95.141, Fall 13, Lecure 5

More information

Homotopy Perturbation Method for Solving Some Initial Boundary Value Problems with Non Local Conditions

Homotopy Perturbation Method for Solving Some Initial Boundary Value Problems with Non Local Conditions Proceedings of he World Congress on Engineering and Compuer Science 23 Vol I WCECS 23, 23-25 Ocober, 23, San Francisco, USA Homoopy Perurbaion Mehod for Solving Some Iniial Boundary Value Problems wih

More information

Static Output Feedback Variable Structure Control for a Class of Time-delay Systems

Static Output Feedback Variable Structure Control for a Class of Time-delay Systems AMSE JOURNALS 04-Series: Avances C; Vol. 69; N ; pp 58-68 Submie Sep. 03; Revise June 30, 04; Accepe July 5, 04 Saic Oupu Feeback Variable Srucure Conrol for a Class of ime-elay Sysems Y. ian, H. Yao,

More information

Unit Root Tests for Long Memory Series in the Presence of Structural Breaks in Variance

Unit Root Tests for Long Memory Series in the Presence of Structural Breaks in Variance Inernaional Bsiness an Managemen Vol 4 No 07 pp 64-69 DOI:03968/934 ISSN 93-84X [Prin] ISSN 93-848 [Online] wwwcscanaane wwwcscanaaorg Uni Roo ess for ong Memor Series in he Presence of Srcral Breaks in

More information

10.1 EXERCISES. y 2 t 2. y 1 t y t 3. y e

10.1 EXERCISES. y 2 t 2. y 1 t y t 3. y e 66 CHAPTER PARAMETRIC EQUATINS AND PLAR CRDINATES SLUTIN We use a graphing device o produce he graphs for he cases a,,.5,.,,.5,, and shown in Figure 7. Noice ha all of hese curves (ecep he case a ) have

More information

Numerical Chaotic Behavior of the Fractional Rikitake System

Numerical Chaotic Behavior of the Fractional Rikitake System ISSN 7-7, England, UK World Journal of Modelling and Simulaion Vol. 9 ) No., pp. -9 Numerical Chaoic Behavior of he Fracional Rikiake Ssem Mohammad Javidi, Nema Namoradi Deparmen of Mahemaics, Facul of

More information

Tracking Control of Underactuated mechanical systems

Tracking Control of Underactuated mechanical systems Tracing Conrol of Uneracae echanical syses E.A.J. ersen DCT.00.98 Coach: Spervisor: r.ir N.van e Wow Prof.r. H.Nijeijer Einhoven, May, 00 echnische niversiei einhoven Sary The ineres in he conrol of neracae

More information

Physics Notes - Ch. 2 Motion in One Dimension

Physics Notes - Ch. 2 Motion in One Dimension Physics Noes - Ch. Moion in One Dimension I. The naure o physical quaniies: scalars and ecors A. Scalar quaniy ha describes only magniude (how much), NOT including direcion; e. mass, emperaure, ime, olume,

More information

Chapter 2 The Derivative Applied Calculus 107. We ll need a rule for finding the derivative of a product so we don t have to multiply everything out.

Chapter 2 The Derivative Applied Calculus 107. We ll need a rule for finding the derivative of a product so we don t have to multiply everything out. Chaper The Derivaive Applie Calculus 107 Secion 4: Prouc an Quoien Rules The basic rules will le us ackle simple funcions. Bu wha happens if we nee he erivaive of a combinaion of hese funcions? Eample

More information

1. (16 points) Answer the following derivative-related questions. dx tan sec x. dx tan u = du d. dx du tan u. du tan u d v.

1. (16 points) Answer the following derivative-related questions. dx tan sec x. dx tan u = du d. dx du tan u. du tan u d v. Exam #2 Soluions. (6 poins) Answer he following eriaie-relae quesions. (a) (8 poins) If y an sec x, fin. This is an applicaion of he chain rule in wo sages, in which we shall le u sec x, an sec x: an sec

More information

The law of conservation of mass: Mass can be neither created nor destroyed. It can only be transported or stored.

The law of conservation of mass: Mass can be neither created nor destroyed. It can only be transported or stored. UDMETL COCEPTS OR LOW LYSIS We covere mehos of analysis of nonflowing fluis in he previous chaper. In his chaper, we evelop he funamenal conceps of flow analysis, incluing he way o escribe flui flow, naural

More information

From Particles to Rigid Bodies

From Particles to Rigid Bodies Rigid Body Dynamics From Paricles o Rigid Bodies Paricles No roaions Linear velociy v only Rigid bodies Body roaions Linear velociy v Angular velociy ω Rigid Bodies Rigid bodies have boh a posiion and

More information

DESIGN OF TENSION MEMBERS

DESIGN OF TENSION MEMBERS CHAPTER Srcral Seel Design LRFD Mehod DESIGN OF TENSION MEMBERS Third Ediion A. J. Clark School of Engineering Deparmen of Civil and Environmenal Engineering Par II Srcral Seel Design and Analysis 4 FALL

More information

Review - Quiz # 1. 1 g(y) dy = f(x) dx. y x. = u, so that y = xu and dy. dx (Sometimes you may want to use the substitution x y

Review - Quiz # 1. 1 g(y) dy = f(x) dx. y x. = u, so that y = xu and dy. dx (Sometimes you may want to use the substitution x y Review - Quiz # 1 (1) Solving Special Tpes of Firs Order Equaions I. Separable Equaions (SE). d = f() g() Mehod of Soluion : 1 g() d = f() (The soluions ma be given implicil b he above formula. Remember,

More information

Boundedness and Stability of Solutions of Some Nonlinear Differential Equations of the Third-Order.

Boundedness and Stability of Solutions of Some Nonlinear Differential Equations of the Third-Order. Boundedness Sabili of Soluions of Some Nonlinear Differenial Equaions of he Third-Order. A.T. Ademola, M.Sc. * P.O. Arawomo, Ph.D. Deparmen of Mahemaics Saisics, Bowen Universi, Iwo, Nigeria. Deparmen

More information

Section 2.6 Derivatives of products and quotients

Section 2.6 Derivatives of products and quotients Secion 2.6 Derivaives of proucs an quoiens (3/19/08) Overview: In his secion, we erive formulas for erivaives of funcions ha are consruce by aking proucs an quoiens of oher funcions, an we use hese formulas

More information

MA Study Guide #1

MA Study Guide #1 MA 66 Su Guide #1 (1) Special Tpes of Firs Order Equaions I. Firs Order Linear Equaion (FOL): + p() = g() Soluion : = 1 µ() [ ] µ()g() + C, where µ() = e p() II. Separable Equaion (SEP): dx = h(x) g()

More information

Improved Approximate Solutions for Nonlinear Evolutions Equations in Mathematical Physics Using the Reduced Differential Transform Method

Improved Approximate Solutions for Nonlinear Evolutions Equations in Mathematical Physics Using the Reduced Differential Transform Method Journal of Applied Mahemaics & Bioinformaics, vol., no., 01, 1-14 ISSN: 179-660 (prin), 179-699 (online) Scienpress Ld, 01 Improved Approimae Soluions for Nonlinear Evoluions Equaions in Mahemaical Physics

More information

System of Linear Differential Equations

System of Linear Differential Equations Sysem of Linear Differenial Equaions In "Ordinary Differenial Equaions" we've learned how o solve a differenial equaion for a variable, such as: y'k5$e K2$x =0 solve DE yx = K 5 2 ek2 x C_C1 2$y''C7$y

More information

10. State Space Methods

10. State Space Methods . Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he

More information

Chapters 6 & 7: Trigonometric Functions of Angles and Real Numbers. Divide both Sides by 180

Chapters 6 & 7: Trigonometric Functions of Angles and Real Numbers. Divide both Sides by 180 Algebra Chapers & : Trigonomeric Funcions of Angles and Real Numbers Chapers & : Trigonomeric Funcions of Angles and Real Numbers - Angle Measures Radians: - a uni (rad o measure he size of an angle. rad

More information

Exact solitary-wave Special Solutions for the Nonlinear Dispersive K(m,n) Equations by Means of the Homotopy Analysis Method

Exact solitary-wave Special Solutions for the Nonlinear Dispersive K(m,n) Equations by Means of the Homotopy Analysis Method Available a hp://pva.ed/aa Appl. Appl. Mah. ISSN: 93-9466 Special Isse No. (Ags ) pp. 8 93 Applicaions Applied Maheaics: An Inernaional Jornal (AAM) Eac soliary-wave Special Solions for he Nonlinear Dispersive

More information

6. 6 v ; degree = 7; leading coefficient = 6; 7. The expression has 3 terms; t p no; subtracting x from 3x ( 3x x 2x)

6. 6 v ; degree = 7; leading coefficient = 6; 7. The expression has 3 terms; t p no; subtracting x from 3x ( 3x x 2x) 70. a =, r = 0%, = 0. 7. a = 000, r = 0.%, = 00 7. a =, r = 00%, = 7. ( ) = 0,000 0., where = ears 7. ( ) = + 0.0, where = weeks 7 ( ) =,000,000 0., where = das 7 = 77. = 9 7 = 7 geomeric 0. geomeric arihmeic,

More information

Elementary Differential Equations and Boundary Value Problems

Elementary Differential Equations and Boundary Value Problems Elemenar Differenial Equaions and Boundar Value Problems Boce. & DiPrima 9 h Ediion Chaper 1: Inroducion 1006003 คณ ตศาสตร ว ศวกรรม 3 สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา 1/2555 ผศ.ดร.อร ญญา ผศ.ดร.สมศ

More information

Exact solutions of two-dimensional nonlinear Schrödinger equations with external potentials

Exact solutions of two-dimensional nonlinear Schrödinger equations with external potentials Applie an Compuaional Mahemaics ; (6): 5-58 Publishe online December, (hp://www.sciencepublishinggroup.com/j/acm) oi:.648/j.acm.6.8 Exac soluions of wo-imensional nonlinear Schröinger equaions wih exernal

More information

APPLICATION OF CHEBYSHEV APPROXIMATION IN THE PROCESS OF VARIATIONAL ITERATION METHOD FOR SOLVING DIFFERENTIAL- ALGEBRAIC EQUATIONS

APPLICATION OF CHEBYSHEV APPROXIMATION IN THE PROCESS OF VARIATIONAL ITERATION METHOD FOR SOLVING DIFFERENTIAL- ALGEBRAIC EQUATIONS Mahemaical and Compuaional Applicaions, Vol., No. 4, pp. 99-978,. Associaion for Scienific Research APPLICATION OF CHEBYSHEV APPROXIMATION IN THE PROCESS OF VARIATIONAL ITERATION METHOD FOR SOLVING DIFFERENTIAL-

More information

Static Output Feedback Sliding Mode Control for Nonlinear Systems with Delay

Static Output Feedback Sliding Mode Control for Nonlinear Systems with Delay AMSE JOURNALS 04-Series: Avances C; Vol. 69; N ; pp 8-38 Submie July 03; Revise April 5, 04; Accepe May, 04 Saic Oupu Feeback Sliing Moe Conrol for Nonlinear Sysems wih Delay H. Yao, F. Yuan School of

More information

Earthquake, Volcano and Tsunami

Earthquake, Volcano and Tsunami A. Merapi Volcano Erpion Earhqake, Volcano and Tsnami Qesion Answer Marks A. Using Black s Principle he eqilibrim emperare can be obained Ths,.5 A. For ideal gas, pv e e RTe, hs.3 A.3 The relaive velociy

More information

International Journal of Mathematical Archive-3(2), 2012, Page: Available online through ISSN

International Journal of Mathematical Archive-3(2), 2012, Page: Available online through  ISSN Inernaional Jornal o Mahemaical Archive- age: 59-57 Available online hrogh wwwijmaino ISSN 9 546 A NON-OA OUNDARY VAUE ROEM WIH INEGRA ONDIIONS OR A OURH ORDER SEUDOHYEROI EQUAION Azizbayov EI* an Y Mehraliyev

More information

Fractional Method of Characteristics for Fractional Partial Differential Equations

Fractional Method of Characteristics for Fractional Partial Differential Equations Fracional Mehod of Characerisics for Fracional Parial Differenial Equaions Guo-cheng Wu* Modern Teile Insiue, Donghua Universiy, 188 Yan-an ilu Road, Shanghai 51, PR China Absrac The mehod of characerisics

More information

Comparision of Joint Space and Task Space Integral Sliding Mode Controller Implementations for a 6DOF Parallel Robot

Comparision of Joint Space and Task Space Integral Sliding Mode Controller Implementations for a 6DOF Parallel Robot Comparision of Join Space an Task Space Inegral Sliing Moe Conroller Implemenaions for a 6DOF Parallel Robo Dereje Shiferaw Inian Insiue of Technology Roorkee Deparmen of Elecronics an Compuer Engineering

More information

Seminar 5 Sustainability

Seminar 5 Sustainability Seminar 5 Susainabiliy Soluions Quesion : Hyperbolic Discouning -. Suppose a faher inheris a family forune of 0 million NOK an he wans o use some of i for himself (o be precise, he share ) bu also o beques

More information

WEEK-3 Recitation PHYS 131. of the projectile s velocity remains constant throughout the motion, since the acceleration a x

WEEK-3 Recitation PHYS 131. of the projectile s velocity remains constant throughout the motion, since the acceleration a x WEEK-3 Reciaion PHYS 131 Ch. 3: FOC 1, 3, 4, 6, 14. Problems 9, 37, 41 & 71 and Ch. 4: FOC 1, 3, 5, 8. Problems 3, 5 & 16. Feb 8, 018 Ch. 3: FOC 1, 3, 4, 6, 14. 1. (a) The horizonal componen of he projecile

More information

MA 366 Review - Test # 1

MA 366 Review - Test # 1 MA 366 Review - Tes # 1 Fall 5 () Resuls from Calculus: differeniaion formulas, implici differeniaion, Chain Rule; inegraion formulas, inegraion b pars, parial fracions, oher inegraion echniques. (1) Order

More information

Anti-synchronization Between Two Different Hyperchaotic Systems

Anti-synchronization Between Two Different Hyperchaotic Systems Journal of Uncerain Ssems Vol.3, No.3, pp.19-, 9 Online a:.jus.org.uk Ani-snchroniaion Beeen To Differen Hperchaoic Ssems M. Mossa Al-saalha, M.S.M. Noorani Cener for Modelling & Daa Analsis, School of

More information

Check in: 1 If m = 2(x + 1) and n = find y when. b y = 2m n 2

Check in: 1 If m = 2(x + 1) and n = find y when. b y = 2m n 2 7 Parameric equaions This chaer will show ou how o skech curves using heir arameric equaions conver arameric equaions o Caresian equaions find oins of inersecion of curves and lines using arameric equaions

More information

di Bernardo, M. (1995). A purely adaptive controller to synchronize and control chaotic systems.

di Bernardo, M. (1995). A purely adaptive controller to synchronize and control chaotic systems. di ernardo, M. (995). A purely adapive conroller o synchronize and conrol chaoic sysems. hps://doi.org/.6/375-96(96)8-x Early version, also known as pre-prin Link o published version (if available):.6/375-96(96)8-x

More information

A Direct Method for Solving Nonlinear PDEs and. New Exact Solutions for Some Examples

A Direct Method for Solving Nonlinear PDEs and. New Exact Solutions for Some Examples In. J. Conemp. Mah. Sciences, Vol. 6, 011, no. 46, 83-90 A Direc Mehod for Solving Nonlinear PDEs and New Eac Solions for Some Eamples Ameina S. Nseir Jordan Universiy of Science and Technology Deparmen

More information

Haar Wavelet Operational Matrix Method for Solving Fractional Partial Differential Equations

Haar Wavelet Operational Matrix Method for Solving Fractional Partial Differential Equations Copyrigh 22 Tech Science Press CMES, vol.88, no.3, pp.229-243, 22 Haar Wavele Operaional Mari Mehod for Solving Fracional Parial Differenial Equaions Mingu Yi and Yiming Chen Absrac: In his paper, Haar

More information

( ) 2. Review Exercise 2. cos θ 2 3 = = 2 tan. cos. 2 x = = x a. Since π π, = 2. sin = = 2+ = = cotx. 2 sin θ 2+

( ) 2. Review Exercise 2. cos θ 2 3 = = 2 tan. cos. 2 x = = x a. Since π π, = 2. sin = = 2+ = = cotx. 2 sin θ 2+ Review Eercise sin 5 cos sin an cos 5 5 an 5 9 co 0 a sinθ 6 + 4 6 + sin θ 4 6+ + 6 + 4 cos θ sin θ + 4 4 sin θ + an θ cos θ ( ) + + + + Since π π, < θ < anθ should be negaive. anθ ( + ) Pearson Educaion

More information

Mat 267 Engineering Calculus III Updated on 04/30/ x 4y 4z 8x 16y / 4 0. x y z x y. 4x 4y 4z 24x 16y 8z.

Mat 267 Engineering Calculus III Updated on 04/30/ x 4y 4z 8x 16y / 4 0. x y z x y. 4x 4y 4z 24x 16y 8z. Ma 67 Engineering Calcls III Updaed on 04/0/0 r. Firoz Tes solion:. a) Find he cener and radis of he sphere 4 4 4z 8 6 0 z ( ) ( ) z / 4 The cener is a (, -, 0), and radis b) Find he cener and radis of

More information

Miscellanea Miscellanea

Miscellanea Miscellanea Miscellanea Miscellanea Miscellanea Miscellanea Miscellanea CENRAL EUROPEAN REVIEW OF ECONOMICS & FINANCE Vol., No. (4) pp. -6 bigniew Śleszński USING BORDERED MARICES FOR DURBIN WASON D SAISIC EVALUAION

More information

Integration of the equation of motion with respect to time rather than displacement leads to the equations of impulse and momentum.

Integration of the equation of motion with respect to time rather than displacement leads to the equations of impulse and momentum. Inegraion of he equaion of moion wih respec o ime raher han displacemen leads o he equaions of impulse and momenum. These equaions greal faciliae he soluion of man problems in which he applied forces ac

More information

and v y . The changes occur, respectively, because of the acceleration components a x and a y

and v y . The changes occur, respectively, because of the acceleration components a x and a y Week 3 Reciaion: Chaper3 : Problems: 1, 16, 9, 37, 41, 71. 1. A spacecraf is raveling wih a veloci of v0 = 5480 m/s along he + direcion. Two engines are urned on for a ime of 84 s. One engine gives he

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

Applied Mathematics Letters. Oscillation results for fourth-order nonlinear dynamic equations

Applied Mathematics Letters. Oscillation results for fourth-order nonlinear dynamic equations Applied Mahemaics Leers 5 (0) 058 065 Conens liss available a SciVerse ScienceDirec Applied Mahemaics Leers jornal homepage: www.elsevier.com/locae/aml Oscillaion resls for forh-order nonlinear dynamic

More information

Optimal Control of a Vector-Host Epidemic Model. with Direct Transmission

Optimal Control of a Vector-Host Epidemic Model. with Direct Transmission Applie Maheaical ciences ol 7 3 no 99 499-497 KAR L www-hikarico hp://xoiorg/988/as33745 Opial Conrol of a ecor-os Epieic Moel wih Direc ransission D E Mahah A ryano an risilowai Deparen of Maheaics Facly

More information

Module 4: Time Response of discrete time systems Lecture Note 2

Module 4: Time Response of discrete time systems Lecture Note 2 Module 4: Time Response of discree ime sysems Lecure Noe 2 1 Prooype second order sysem The sudy of a second order sysem is imporan because many higher order sysem can be approimaed by a second order model

More information

15. Vector Valued Functions

15. Vector Valued Functions 1. Vecor Valued Funcions Up o his poin, we have presened vecors wih consan componens, for example, 1, and,,4. However, we can allow he componens of a vecor o be funcions of a common variable. For example,

More information

Numerical Dispersion

Numerical Dispersion eview of Linear Numerical Sabiliy Numerical Dispersion n he previous lecure, we considered he linear numerical sabiliy of boh advecion and diffusion erms when approimaed wih several spaial and emporal

More information

PD Controller Design with H Performance for Linear Systems with Input Delay

PD Controller Design with H Performance for Linear Systems with Input Delay PD Conroller Design wih H Performance for Linear Ssems wih Inpu Dela Ala Shariai i * an Hami D. aghira ABSRAC his paper presens H conrol problem for inpu-elae ssems. A neural ssem approach is consiere

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

Stability and Bifurcation in a Neural Network Model with Two Delays

Stability and Bifurcation in a Neural Network Model with Two Delays Inernaional Mahemaical Forum, Vol. 6, 11, no. 35, 175-1731 Sabiliy and Bifurcaion in a Neural Nework Model wih Two Delays GuangPing Hu and XiaoLing Li School of Mahemaics and Physics, Nanjing Universiy

More information

1 1 + x 2 dx. tan 1 (2) = ] ] x 3. Solution: Recall that the given integral is improper because. x 3. 1 x 3. dx = lim dx.

1 1 + x 2 dx. tan 1 (2) = ] ] x 3. Solution: Recall that the given integral is improper because. x 3. 1 x 3. dx = lim dx. . Use Simpson s rule wih n 4 o esimae an () +. Soluion: Since we are using 4 seps, 4 Thus we have [ ( ) f() + 4f + f() + 4f 3 [ + 4 4 6 5 + + 4 4 3 + ] 5 [ + 6 6 5 + + 6 3 + ]. 5. Our funcion is f() +.

More information

TIME-SPACE DEPENDENT FRACTIONAL VISCOELASTIC MHD FLUID FLOW AND HEAT TRANSFER OVER ACCELERATING PLATE WITH SLIP BOUNDARY

TIME-SPACE DEPENDENT FRACTIONAL VISCOELASTIC MHD FLUID FLOW AND HEAT TRANSFER OVER ACCELERATING PLATE WITH SLIP BOUNDARY HERMAL SCIENCE: Year 7, Vol., No. A, pp. 7-7 IME-SPACE DEPENDEN FRACIONAL VISCOELASIC MHD FLUID FLOW AND HEA RANSFER OVER ACCELERAING PLAE WIH SLIP BOUNDARY b Shenging CHEN a, Liancn ZHENG a*, Chnri LI

More information

3. Mathematical Modelling

3. Mathematical Modelling 3. Mahemaical Moelling 3.1 Moelling principles 3.1.1 Moel ypes 3.1.2 Moel consrucion 3.1.3 Moelling from firs principles 3.2 Moels for echnical sysems 3.2.1 Elecrical sysems 3.2.2 Mechanical sysems 3.2.3

More information

Integral representations and new generating functions of Chebyshev polynomials

Integral representations and new generating functions of Chebyshev polynomials Inegral represenaions an new generaing funcions of Chebyshev polynomials Clemene Cesarano Faculy of Engineering, Inernaional Telemaic Universiy UNINETTUNO Corso Viorio Emanuele II, 39 186 Roma, Ialy email:

More information

Method of Moment Area Equations

Method of Moment Area Equations Noe proided b JRR Page-1 Noe proided b JRR Page- Inrodcion ehod of omen rea qaions Perform deformaion analsis of flere-dominaed srcres eams Frames asic ssmpions (on.) No aial deformaion (aiall rigid members)

More information

Compatible Versus Regular Well-Posed Linear Systems

Compatible Versus Regular Well-Posed Linear Systems Compaible Verss eglar Well-Posed Linear Sysems Olof J. Saffans Deparmen of Mahemaics Åbo Akademi Universiy FIN-25 Åbo, Finland Olof.Saffans@abo.fi hp://www.abo.fi/ saffans/ George Weiss Dep. of Elecr.

More information