Nonlinear Control(FRTN05)

Size: px
Start display at page:

Download "Nonlinear Control(FRTN05)"

Transcription

1 Nonlinear Control(FRTN05) troduction to Simulink Last updated: Spring of 204 Contents Te exercise is intended as an introduction into Simulink and te Control System Toolbox. It can be performed in Matlab and Simulink, eiter at te department or at any oter computer tat as Matlab wit te Control SystemToolbox,andSimulink.Tofindoutifyouavetecontrolsystem toolbox write elp control.(we will use te commands ss, tf, bode, nyuist, evalfr. Use elp to find out ow tey work.) Te introduction contains small examples of ow Simulink works.. troduction to Simulink Simulink is a simulation program based upon Matlab. Tere are severalwaystodefineamodel.onecanworkgrapicallyandconnectblockdiagrams wit predefined blocks. Alternatively one can give te matematical description in forms of differential euations in an m-file(te format for programs written in te Matlab programming language). Matlab/Simulink supports bot tese representations as well as combinations. Furtermore one can use descriptions tat include a ierarcy of connected subsystems. To understand ow models are described and simulated using block diagrams,itisbesttorunsmallexamplesonacomputer.. How to Start Simulink Start Matlab. Ten give te command simulink in Matlab. Tis gives a windowwitblocksasinfigure.eacblockrepresentsalibrarytat contains several building blocks. Out Sources Sinks Continuous Discrete Mat Functions & Tables Nonlinear Signals & Systems Simulink Block Library 3.0 Copyrigt (c) by Te MatWorks, c. Figure Available Simulink block diagram libraries

2 .2 A Simple System Click on File in te Simulink-window and coose New->Model. Click on te library Continuous and move a Transfer Fcn to te new window called Untitled. Do te same wit Sources->Step Fcn and Sinks->Scope. Draw arrows(left mouse button) and connect te ports on te block. You sould nowaveablockdiagramasinfigure2. Step s+ Transfer Fcn Scope Figure 2 A simple Simulink system Coose Simulation->Parameters in te window called Untitled. Set Stop timeto5.openawindowforte Scopebydoubleclickingonit.Start a simulation by Simulation->Start(or by pressing Ctrl-t in te window called "Untitled"). HowtoCangeaSystem Tocangetesystemto s s+2 you double-click on te block Transfer Fcn and cange Denominator to [ 0.5 2]. Simulate te new system(simulation->start or Ctrl-t). Cange parameters in te Simulation menu and te scales in te block Scope until you are satisfied. HowtoCange anputsignal Tocangeteinputsignal,start witremovingteblock Step Fcnbyclickingonitanddeleteitbypressing Delete(or using Edit->Cut or pressing Ctrl-x). Replace it by a Sources->Signal Generator block. Double-click on Signal Generator and select a wave form, amplitude and freuency. Also cange Simulation->Parameters->Stop Time to and press Simulation->Start. Tis gives an"infinite" simulation tat can be stopped by pressing Simulation->Stop(or Ctrl-t). Can te amplitude of te input signal be canged during simulation? Also try to cange te block Transfer Fcn during simulation. How to Use Matlab Variables in Blocks Note tat variables defined in te Matlab environment can be used in Simulink. Define numerator and denominator by writing te following in te Matlab window. num=[ ] den=[ 2 3 4] Cange Transfer Fcn->Numerator to num and Transfer Fcn->Denominator to den. 2

3 HowtoSaveResultstoMatlabVariables Tosaveinputandoutput, move two copies of te block Sinks->To Workspace. Connect tese wit te input and output to te block Transfer Fcn. Get a Sources->Clock and connect it to a Sinks->To Workspace. Double click on te Workspace blocks tobe able to cange te variable names to u,y,and trespectively. Also cange Save format to te value Array. Te window sould look someting like Fig. 3. Figure3 HowtosaveresultstoMatlabvariablesinSimulink How to Use Simulation Results in Matlab Calculations Let te input signal be a sinusoidal wit freuency 0. rad/s and amplitude. Doasimulationtatislongenougforteoutputtobecomestationary. Compute n=lengt(y) max(y(n/2:n)) and compare tis wit te teoretical value G(0.i). >>g=tf(num,den) Transfer function: s s^3 + 2 s^2 + 3 s + 4 >> abs(evalfr(g,0.*i)) ans = How to Save Systems Use File-Save As or File->Save..3 AFlowSystem Considerasimpletankasintebasiccontrolcourse ḣ = A (u ) = a 2. 3

4 TiscanbeimplementedinSimulinkasinFigure4.Tefunction f(u) /A Gain s tegrator f(u) Fcn 2 Figure4 Atanksystem as te value a*srt(2*g*u[]). Te summation block as been given two inputs wit different signs by assigning te string -+ to Sum->List of Signs.Tesummationandte Gainblocksarefoundinte Matlibrary andte Fcnblockisfoundinte Functions & Tableslibrary.Tesmall ellipses, tat are contained in te Signals & Systems library, tell Simulink wat sould be considered inputs and outputs to tis(sub)system. Te blocktitlescanbecangedbyclickingontem.markteentiresystem by olding te left mouse bottom pressed and drawing a rectangle around it. Ten coose Edit->Create Subsystem. Te result is tat te system is represented by one block. Use Edit->Copy to create te following doubletanksystem.usetecommands trimand linmodtofindalinearizedmodel Subsystem Out Subsystem Figure 5 Two tanks and some connections oftedoubletankaround 0 =0 2 =0..UseteparametersA =A 2 = ,a =a 2 = , =9.8.PlotteNyuistcurveusingte command nyuist. >> A=2.7e-3;a=7e-6;g=9.8; >> [x0,u0,y0]=trim( flow,[0. 0.],[],0.) Warning: Output port 2 of block twotank/subsystem is not connected. Warning: Output port of block twotank/subsystem is not connected. 4

5 x0 = u0 = e-06 y0 = >> [aa,bb,cc,dd]=linmod( flow,x0,u0); >> sys=ss(aa,bb,cc,dd); >> bode(sys) Alternative: Linearization in Simulink; Byrigt-clickingonasignalconnectorinaSimulinkmodelyoucanadd Linearization points (inputs and/or outputs). Use tis for te two water tanks. Start a Control and Estimation Tool Manager by Tools -> Control Design ->Linear analysis..., see Fig. 6. Here you can set te desired operating points, export linearized model to Workspace (Model-> Export to Workspace) and muc more. Repeat te linearization of te system at te same euilibrium point as above. Figure 6 View of"control and Estimation Tool Manager" in Matlab/Simulink. 5

4.1 Tangent Lines. y 2 y 1 = y 2 y 1

4.1 Tangent Lines. y 2 y 1 = y 2 y 1 41 Tangent Lines Introduction Recall tat te slope of a line tells us ow fast te line rises or falls Given distinct points (x 1, y 1 ) and (x 2, y 2 ), te slope of te line troug tese two points is cange

More information

4.2 The Derivative. f(x + h) f(x) lim

4.2 The Derivative. f(x + h) f(x) lim 4.2 Te Derivative Introduction In te previous section, it was sown tat if a function f as a nonvertical tangent line at a point (x, f(x)), ten its slope is given by te it f(x + ) f(x). (*) Tis is potentially

More information

Section 2.3: Calculating Limits using the Limit Laws

Section 2.3: Calculating Limits using the Limit Laws Section 2.3: Calculating Limits using te Limit Laws In previous sections, we used graps and numerics to approimate te value of a it if it eists. Te problem wit tis owever is tat it does not always give

More information

Areas of Triangles and Parallelograms. Bases of a parallelogram. Height of a parallelogram THEOREM 11.3: AREA OF A TRIANGLE. a and its corresponding.

Areas of Triangles and Parallelograms. Bases of a parallelogram. Height of a parallelogram THEOREM 11.3: AREA OF A TRIANGLE. a and its corresponding. 11.1 Areas of Triangles and Parallelograms Goal p Find areas of triangles and parallelograms. Your Notes VOCABULARY Bases of a parallelogram Heigt of a parallelogram POSTULATE 4: AREA OF A SQUARE POSTULATE

More information

Experiment 8 SIMULINK

Experiment 8 SIMULINK Experiment 8 SIMULINK Simulink Introduction to simulink SIMULINK is an interactive environment for modeling, analyzing, and simulating a wide variety of dynamic systems. SIMULINK provides a graphical user

More information

Introduction to Simulink

Introduction to Simulink Introduction to Simulink by Vinay S. K. Guntu 4310 Feedback Control Systems 1 Simulink Basics Tutorial Simulink is a graphical extension to MATLAB for modeling and simulation of systems. Advantages 1)

More information

Experiment 6 SIMULINK

Experiment 6 SIMULINK Experiment 6 SIMULINK Simulink Introduction to simulink SIMULINK is an interactive environment for modeling, analyzing, and simulating a wide variety of dynamic systems. SIMULINK provides a graphical user

More information

MATH 5a Spring 2018 READING ASSIGNMENTS FOR CHAPTER 2

MATH 5a Spring 2018 READING ASSIGNMENTS FOR CHAPTER 2 MATH 5a Spring 2018 READING ASSIGNMENTS FOR CHAPTER 2 Note: Tere will be a very sort online reading quiz (WebWork) on eac reading assignment due one our before class on its due date. Due dates can be found

More information

More on Functions and Their Graphs

More on Functions and Their Graphs More on Functions and Teir Graps Difference Quotient ( + ) ( ) f a f a is known as te difference quotient and is used exclusively wit functions. Te objective to keep in mind is to factor te appearing in

More information

2 The Derivative. 2.0 Introduction to Derivatives. Slopes of Tangent Lines: Graphically

2 The Derivative. 2.0 Introduction to Derivatives. Slopes of Tangent Lines: Graphically 2 Te Derivative Te two previous capters ave laid te foundation for te study of calculus. Tey provided a review of some material you will need and started to empasize te various ways we will view and use

More information

Piecewise Polynomial Interpolation, cont d

Piecewise Polynomial Interpolation, cont d Jim Lambers MAT 460/560 Fall Semester 2009-0 Lecture 2 Notes Tese notes correspond to Section 4 in te text Piecewise Polynomial Interpolation, cont d Constructing Cubic Splines, cont d Having determined

More information

SIMULINK Tutorial. Select File-New-Model from the menu bar of this window. The following window should now appear.

SIMULINK Tutorial. Select File-New-Model from the menu bar of this window. The following window should now appear. SIMULINK Tutorial Simulink is a block-orientated program that allows the simulation of dynamic systems in a block diagram format whether they are linear or nonlinear, in continuous or discrete forms. To

More information

1.4 RATIONAL EXPRESSIONS

1.4 RATIONAL EXPRESSIONS 6 CHAPTER Fundamentals.4 RATIONAL EXPRESSIONS Te Domain of an Algebraic Epression Simplifying Rational Epressions Multiplying and Dividing Rational Epressions Adding and Subtracting Rational Epressions

More information

When the dimensions of a solid increase by a factor of k, how does the surface area change? How does the volume change?

When the dimensions of a solid increase by a factor of k, how does the surface area change? How does the volume change? 8.4 Surface Areas and Volumes of Similar Solids Wen te dimensions of a solid increase by a factor of k, ow does te surface area cange? How does te volume cange? 1 ACTIVITY: Comparing Surface Areas and

More information

CHAPTER 7: TRANSCENDENTAL FUNCTIONS

CHAPTER 7: TRANSCENDENTAL FUNCTIONS 7.0 Introduction and One to one Functions Contemporary Calculus 1 CHAPTER 7: TRANSCENDENTAL FUNCTIONS Introduction In te previous capters we saw ow to calculate and use te derivatives and integrals of

More information

THANK YOU FOR YOUR PURCHASE!

THANK YOU FOR YOUR PURCHASE! THANK YOU FOR YOUR PURCHASE! Te resources included in tis purcase were designed and created by me. I ope tat you find tis resource elpful in your classroom. Please feel free to contact me wit any questions

More information

Haar Transform CS 430 Denbigh Starkey

Haar Transform CS 430 Denbigh Starkey Haar Transform CS Denbig Starkey. Background. Computing te transform. Restoring te original image from te transform 7. Producing te transform matrix 8 5. Using Haar for lossless compression 6. Using Haar

More information

Linear Interpolating Splines

Linear Interpolating Splines Jim Lambers MAT 772 Fall Semester 2010-11 Lecture 17 Notes Tese notes correspond to Sections 112, 11, and 114 in te text Linear Interpolating Splines We ave seen tat ig-degree polynomial interpolation

More information

Chapter K. Geometric Optics. Blinn College - Physics Terry Honan

Chapter K. Geometric Optics. Blinn College - Physics Terry Honan Capter K Geometric Optics Blinn College - Pysics 2426 - Terry Honan K. - Properties of Ligt Te Speed of Ligt Te speed of ligt in a vacuum is approximately c > 3.0µ0 8 mês. Because of its most fundamental

More information

All truths are easy to understand once they are discovered; the point is to discover them. Galileo

All truths are easy to understand once they are discovered; the point is to discover them. Galileo Section 7. olume All truts are easy to understand once tey are discovered; te point is to discover tem. Galileo Te main topic of tis section is volume. You will specifically look at ow to find te volume

More information

Simulink Basics Tutorial

Simulink Basics Tutorial 1 of 20 1/11/2011 5:45 PM Starting Simulink Model Files Basic Elements Running Simulations Building Systems Simulink Basics Tutorial Simulink is a graphical extension to MATLAB for modeling and simulation

More information

, 1 1, A complex fraction is a quotient of rational expressions (including their sums) that result

, 1 1, A complex fraction is a quotient of rational expressions (including their sums) that result RT. Complex Fractions Wen working wit algebraic expressions, sometimes we come across needing to simplify expressions like tese: xx 9 xx +, xx + xx + xx, yy xx + xx + +, aa Simplifying Complex Fractions

More information

2.8 The derivative as a function

2.8 The derivative as a function CHAPTER 2. LIMITS 56 2.8 Te derivative as a function Definition. Te derivative of f(x) istefunction f (x) defined as follows f f(x + ) f(x) (x). 0 Note: tis differs from te definition in section 2.7 in

More information

Hash-Based Indexes. Chapter 11. Comp 521 Files and Databases Spring

Hash-Based Indexes. Chapter 11. Comp 521 Files and Databases Spring Has-Based Indexes Capter 11 Comp 521 Files and Databases Spring 2010 1 Introduction As for any index, 3 alternatives for data entries k*: Data record wit key value k

More information

SIMULINK FOR BEGINNERS:

SIMULINK FOR BEGINNERS: 1 SIMULINK FOR BEGINNERS: To begin your SIMULINK session open first MATLAB ICON by clicking mouse twice and then type»simulink You will now see the Simulink block library. 2 Browse through block libraries.

More information

Lecture 10: Simulink. What is Simulink?

Lecture 10: Simulink. What is Simulink? Lecture 10: Simulink Dr. Mohammed Hawa Electrical Engineering Department University of Jordan EE201: Computer Applications. See Textbook Chapter 10. What is Simulink? Simulink is a tool for modeling, simulating

More information

13.5 DIRECTIONAL DERIVATIVES and the GRADIENT VECTOR

13.5 DIRECTIONAL DERIVATIVES and the GRADIENT VECTOR 13.5 Directional Derivatives and te Gradient Vector Contemporary Calculus 1 13.5 DIRECTIONAL DERIVATIVES and te GRADIENT VECTOR Directional Derivatives In Section 13.3 te partial derivatives f x and f

More information

Implementation of Integral based Digital Curvature Estimators in DGtal

Implementation of Integral based Digital Curvature Estimators in DGtal Implementation of Integral based Digital Curvature Estimators in DGtal David Coeurjolly 1, Jacques-Olivier Lacaud 2, Jérémy Levallois 1,2 1 Université de Lyon, CNRS INSA-Lyon, LIRIS, UMR5205, F-69621,

More information

Classify solids. Find volumes of prisms and cylinders.

Classify solids. Find volumes of prisms and cylinders. 11.4 Volumes of Prisms and Cylinders Essential Question How can you find te volume of a prism or cylinder tat is not a rigt prism or rigt cylinder? Recall tat te volume V of a rigt prism or a rigt cylinder

More information

Materials: Whiteboard, TI-Nspire classroom set, quadratic tangents program, and a computer projector.

Materials: Whiteboard, TI-Nspire classroom set, quadratic tangents program, and a computer projector. Adam Clinc Lesson: Deriving te Derivative Grade Level: 12 t grade, Calculus I class Materials: Witeboard, TI-Nspire classroom set, quadratic tangents program, and a computer projector. Goals/Objectives:

More information

19.2 Surface Area of Prisms and Cylinders

19.2 Surface Area of Prisms and Cylinders Name Class Date 19 Surface Area of Prisms and Cylinders Essential Question: How can you find te surface area of a prism or cylinder? Resource Locker Explore Developing a Surface Area Formula Surface area

More information

ANTENNA SPHERICAL COORDINATE SYSTEMS AND THEIR APPLICATION IN COMBINING RESULTS FROM DIFFERENT ANTENNA ORIENTATIONS

ANTENNA SPHERICAL COORDINATE SYSTEMS AND THEIR APPLICATION IN COMBINING RESULTS FROM DIFFERENT ANTENNA ORIENTATIONS NTNN SPHRICL COORDINT SSTMS ND THIR PPLICTION IN COMBINING RSULTS FROM DIFFRNT NTNN ORINTTIONS llen C. Newell, Greg Hindman Nearfield Systems Incorporated 133. 223 rd St. Bldg. 524 Carson, C 9745 US BSTRCT

More information

Note 10 Introduction to MATLAB & SIMULINK

Note 10 Introduction to MATLAB & SIMULINK Note 10 Introduction to MATLAB & SIMULINK Department of Mechanical Engineering, University Of Saskatchewan, 57 Campus Drive, Saskatoon, SK S7N 5A9, Canada 1 1 Introduction to MATLAB MATLAB stands for the

More information

Fault Localization Using Tarantula

Fault Localization Using Tarantula Class 20 Fault localization (cont d) Test-data generation Exam review: Nov 3, after class to :30 Responsible for all material up troug Nov 3 (troug test-data generation) Send questions beforeand so all

More information

Notes: Dimensional Analysis / Conversions

Notes: Dimensional Analysis / Conversions Wat is a unit system? A unit system is a metod of taking a measurement. Simple as tat. We ave units for distance, time, temperature, pressure, energy, mass, and many more. Wy is it important to ave a standard?

More information

Optimal In-Network Packet Aggregation Policy for Maximum Information Freshness

Optimal In-Network Packet Aggregation Policy for Maximum Information Freshness 1 Optimal In-etwork Packet Aggregation Policy for Maimum Information Fresness Alper Sinan Akyurek, Tajana Simunic Rosing Electrical and Computer Engineering, University of California, San Diego aakyurek@ucsd.edu,

More information

Bounding Tree Cover Number and Positive Semidefinite Zero Forcing Number

Bounding Tree Cover Number and Positive Semidefinite Zero Forcing Number Bounding Tree Cover Number and Positive Semidefinite Zero Forcing Number Sofia Burille Mentor: Micael Natanson September 15, 2014 Abstract Given a grap, G, wit a set of vertices, v, and edges, various

More information

CS 234. Module 6. October 16, CS 234 Module 6 ADT Dictionary 1 / 33

CS 234. Module 6. October 16, CS 234 Module 6 ADT Dictionary 1 / 33 CS 234 Module 6 October 16, 2018 CS 234 Module 6 ADT Dictionary 1 / 33 Idea for an ADT Te ADT Dictionary stores pairs (key, element), were keys are distinct and elements can be any data. Notes: Tis is

More information

RECONSTRUCTING OF A GIVEN PIXEL S THREE- DIMENSIONAL COORDINATES GIVEN BY A PERSPECTIVE DIGITAL AERIAL PHOTOS BY APPLYING DIGITAL TERRAIN MODEL

RECONSTRUCTING OF A GIVEN PIXEL S THREE- DIMENSIONAL COORDINATES GIVEN BY A PERSPECTIVE DIGITAL AERIAL PHOTOS BY APPLYING DIGITAL TERRAIN MODEL IV. Évfolyam 3. szám - 2009. szeptember Horvát Zoltán orvat.zoltan@zmne.u REONSTRUTING OF GIVEN PIXEL S THREE- DIMENSIONL OORDINTES GIVEN Y PERSPETIVE DIGITL ERIL PHOTOS Y PPLYING DIGITL TERRIN MODEL bsztrakt/bstract

More information

Introduction to Simulink

Introduction to Simulink Introduction to Simulink Mikael Manngård Process Control Laboratory, Åbo Akademi University February 27, 2014 Simulink is an extension to MATLAB that is used for modeling and simulation of dynamic systems.

More information

12.2 Investigate Surface Area

12.2 Investigate Surface Area Investigating g Geometry ACTIVITY Use before Lesson 12.2 12.2 Investigate Surface Area MATERIALS grap paper scissors tape Q U E S T I O N How can you find te surface area of a polyedron? A net is a pattern

More information

Measuring Length 11and Area

Measuring Length 11and Area Measuring Lengt 11and Area 11.1 Areas of Triangles and Parallelograms 11.2 Areas of Trapezoids, Romuses, and Kites 11.3 Perimeter and Area of Similar Figures 11.4 Circumference and Arc Lengt 11.5 Areas

More information

Algebra Area of Triangles

Algebra Area of Triangles LESSON 0.3 Algera Area of Triangles FOCUS COHERENCE RIGOR LESSON AT A GLANCE F C R Focus: Common Core State Standards Learning Ojective 6.G.A. Find te area of rigt triangles, oter triangles, special quadrilaterals,

More information

Hash-Based Indexes. Chapter 11. Comp 521 Files and Databases Fall

Hash-Based Indexes. Chapter 11. Comp 521 Files and Databases Fall Has-Based Indexes Capter 11 Comp 521 Files and Databases Fall 2012 1 Introduction Hasing maps a searc key directly to te pid of te containing page/page-overflow cain Doesn t require intermediate page fetces

More information

Session 3 Introduction to SIMULINK

Session 3 Introduction to SIMULINK Session 3 Introduction to SIMULINK Brian Daku Department of Electrical Engineering University of Saskatchewan email: daku@engr.usask.ca EE 290 Brian Daku Outline This section covers some basic concepts

More information

Fast Calculation of Thermodynamic Properties of Water and Steam in Process Modelling using Spline Interpolation

Fast Calculation of Thermodynamic Properties of Water and Steam in Process Modelling using Spline Interpolation P R E P R N T CPWS XV Berlin, September 8, 008 Fast Calculation of Termodynamic Properties of Water and Steam in Process Modelling using Spline nterpolation Mattias Kunick a, Hans-Joacim Kretzscmar a,

More information

Investigating an automated method for the sensitivity analysis of functions

Investigating an automated method for the sensitivity analysis of functions Investigating an automated metod for te sensitivity analysis of functions Sibel EKER s.eker@student.tudelft.nl Jill SLINGER j..slinger@tudelft.nl Delft University of Tecnology 2628 BX, Delft, te Neterlands

More information

2. Introduction to Matlab Control System Toolbox

2. Introduction to Matlab Control System Toolbox . Introduction to Matlab Control System Toolbox Consider a single-input, single-output (SISO), continuous-time, linear, time invariant (LTI) system defined by its transfer function: u(t) Y( S) num y(t)

More information

CS211 Spring 2004 Lecture 06 Loops and their invariants. Software engineering reason for using loop invariants

CS211 Spring 2004 Lecture 06 Loops and their invariants. Software engineering reason for using loop invariants CS211 Spring 2004 Lecture 06 Loops and teir invariants Reading material: Tese notes. Weiss: Noting on invariants. ProgramLive: Capter 7 and 8 O! Tou ast damnale iteration and art, indeed, ale to corrupt

More information

Section 3. Imaging With A Thin Lens

Section 3. Imaging With A Thin Lens Section 3 Imaging Wit A Tin Lens 3- at Ininity An object at ininity produces a set o collimated set o rays entering te optical system. Consider te rays rom a inite object located on te axis. Wen te object

More information

3.6 Directional Derivatives and the Gradient Vector

3.6 Directional Derivatives and the Gradient Vector 288 CHAPTER 3. FUNCTIONS OF SEVERAL VARIABLES 3.6 Directional Derivatives and te Gradient Vector 3.6.1 Functions of two Variables Directional Derivatives Let us first quickly review, one more time, te

More information

AVL Trees Outline and Required Reading: AVL Trees ( 11.2) CSE 2011, Winter 2017 Instructor: N. Vlajic

AVL Trees Outline and Required Reading: AVL Trees ( 11.2) CSE 2011, Winter 2017 Instructor: N. Vlajic 1 AVL Trees Outline and Required Reading: AVL Trees ( 11.2) CSE 2011, Winter 2017 Instructor: N. Vlajic AVL Trees 2 Binary Searc Trees better tan linear dictionaries; owever, te worst case performance

More information

Lesson 6 MA Nick Egbert

Lesson 6 MA Nick Egbert Overview From kindergarten we all know ow to find te slope of a line: rise over run, or cange in over cange in. We want to be able to determine slopes of functions wic are not lines. To do tis we use te

More information

Our Calibrated Model has No Predictive Value: An Example from the Petroleum Industry

Our Calibrated Model has No Predictive Value: An Example from the Petroleum Industry Our Calibrated Model as No Predictive Value: An Example from te Petroleum Industry J.N. Carter a, P.J. Ballester a, Z. Tavassoli a and P.R. King a a Department of Eart Sciences and Engineering, Imperial

More information

Numerical Derivatives

Numerical Derivatives Lab 15 Numerical Derivatives Lab Objective: Understand and implement finite difference approximations of te derivative in single and multiple dimensions. Evaluate te accuracy of tese approximations. Ten

More information

2 SIMULATING A MODEL Simulink Tutorial

2 SIMULATING A MODEL Simulink Tutorial 2 SIMULATING A MODEL Simulink Tutorial 1 Introduction Simulation of dynamic systems has been proven to be immensely useful in system modeling and controller design. Simulink R is a add-on to MATLAB which

More information

Interference and Diffraction of Light

Interference and Diffraction of Light Interference and Diffraction of Ligt References: [1] A.P. Frenc: Vibrations and Waves, Norton Publ. 1971, Capter 8, p. 280-297 [2] PASCO Interference and Diffraction EX-9918 guide (written by Ann Hanks)

More information

SIGNALS AND LINEAR SYSTEMS LABORATORY EELE

SIGNALS AND LINEAR SYSTEMS LABORATORY EELE The Islamic University of Gaza Faculty of Engineering Electrical Engineering Department SIGNALS AND LINEAR SYSTEMS LABORATORY EELE 3110 Experiment (5): Simulink Prepared by: Eng. Mohammed S. Abuwarda Eng.

More information

Inlichtingenblad, matlab- en simulink handleiding en practicumopgaven IWS

Inlichtingenblad, matlab- en simulink handleiding en practicumopgaven IWS Inlichtingenblad, matlab- en simulink handleiding en practicumopgaven IWS 4 SIMULINK 4 Simulink 4 Quick introduction General information Simulink is an etension of Matlab software for simulating dynamic

More information

12.2 TECHNIQUES FOR EVALUATING LIMITS

12.2 TECHNIQUES FOR EVALUATING LIMITS Section Tecniques for Evaluating Limits 86 TECHNIQUES FOR EVALUATING LIMITS Wat ou sould learn Use te dividing out tecnique to evaluate its of functions Use te rationalizing tecnique to evaluate its of

More information

2D transformations Homogeneous coordinates. Uses of Transformations

2D transformations Homogeneous coordinates. Uses of Transformations 2D transformations omogeneous coordinates Uses of Transformations Modeling: position and resize parts of a complex model; Viewing: define and position te virtual camera Animation: define ow objects move/cange

More information

Communicator for Mac Quick Start Guide

Communicator for Mac Quick Start Guide Communicator for Mac Quick Start Guide 503-968-8908 sterling.net training@sterling.net Pone Support 503.968.8908, option 2 pone-support@sterling.net For te most effective support, please provide your main

More information

Introduction to the MATLAB SIMULINK Program

Introduction to the MATLAB SIMULINK Program Introduction to the MATLAB SIMULINK Program Adapted from similar document by Dept. of Chemical Engineering, UC - Santa Barbara MATLAB, which stands for MATrix LABoratory, is a technical computing environment

More information

15-122: Principles of Imperative Computation, Summer 2011 Assignment 6: Trees and Secret Codes

15-122: Principles of Imperative Computation, Summer 2011 Assignment 6: Trees and Secret Codes 15-122: Principles of Imperative Computation, Summer 2011 Assignment 6: Trees and Secret Codes William Lovas (wlovas@cs) Karl Naden Out: Tuesday, Friday, June 10, 2011 Due: Monday, June 13, 2011 (Written

More information

Simulink Basics Tutorial

Simulink Basics Tutorial Simulink Basics Tutorial Simulink is a graphical extension to MATLAB for modeling and simulation of systems. One of the main advantages of Simulink is the ability to model a nonlinear system, which a transfer

More information

The Euler and trapezoidal stencils to solve d d x y x = f x, y x

The Euler and trapezoidal stencils to solve d d x y x = f x, y x restart; Te Euler and trapezoidal stencils to solve d d x y x = y x Te purpose of tis workseet is to derive te tree simplest numerical stencils to solve te first order d equation y x d x = y x, and study

More information

Density Estimation Over Data Stream

Density Estimation Over Data Stream Density Estimation Over Data Stream Aoying Zou Dept. of Computer Science, Fudan University 22 Handan Rd. Sangai, 2433, P.R. Cina ayzou@fudan.edu.cn Ziyuan Cai Dept. of Computer Science, Fudan University

More information

SIMULINK A Tutorial by Tom Nguyen

SIMULINK A Tutorial by Tom Nguyen Introduction SIMULINK A Tutorial by Tom Nguyen Simulink (Simulation and Link) is an extension of MATLAB by Mathworks Inc. It works with MATLAB to offer modeling, simulating, and analyzing of dynamical

More information

Intra- and Inter-Session Network Coding in Wireless Networks

Intra- and Inter-Session Network Coding in Wireless Networks Intra- and Inter-Session Network Coding in Wireless Networks Hulya Seferoglu, Member, IEEE, Atina Markopoulou, Member, IEEE, K K Ramakrisnan, Fellow, IEEE arxiv:857v [csni] 3 Feb Abstract In tis paper,

More information

Comparison of the Efficiency of the Various Algorithms in Stratified Sampling when the Initial Solutions are Determined with Geometric Method

Comparison of the Efficiency of the Various Algorithms in Stratified Sampling when the Initial Solutions are Determined with Geometric Method International Journal of Statistics and Applications 0, (): -0 DOI: 0.9/j.statistics.000.0 Comparison of te Efficiency of te Various Algoritms in Stratified Sampling wen te Initial Solutions are Determined

More information

( ) ( ) Mat 241 Homework Set 5 Due Professor David Schultz. x y. 9 4 The domain is the interior of the hyperbola.

( ) ( ) Mat 241 Homework Set 5 Due Professor David Schultz. x y. 9 4 The domain is the interior of the hyperbola. Mat 4 Homework Set 5 Due Professor David Scultz Directions: Sow all algebraic steps neatly and concisely using proper matematical symbolism. Wen graps and tecnology are to be implemented, do so appropriately.

More information

The impact of simplified UNBab mapping function on GPS tropospheric delay

The impact of simplified UNBab mapping function on GPS tropospheric delay Te impact of simplified UNBab mapping function on GPS troposperic delay Hamza Sakidin, Tay Coo Cuan, and Asmala Amad Citation: AIP Conference Proceedings 1621, 363 (2014); doi: 10.1063/1.4898493 View online:

More information

Multi-Stack Boundary Labeling Problems

Multi-Stack Boundary Labeling Problems Multi-Stack Boundary Labeling Problems Micael A. Bekos 1, Micael Kaufmann 2, Katerina Potika 1 Antonios Symvonis 1 1 National Tecnical University of Atens, Scool of Applied Matematical & Pysical Sciences,

More information

M2TECH HIFACE DAC 384KHZ/32BIT DIGITAL-TO-ANALOG CONVERTER USER MANUAL

M2TECH HIFACE DAC 384KHZ/32BIT DIGITAL-TO-ANALOG CONVERTER USER MANUAL M2TECH HIFACE DAC 384KHZ/32BIT DIGITAL-TO-ANALOG CONVERTER USER MANUAL REV. 1.1 5/2013 Warning! Canges or modifications not autorized by te manufacturer can invalidate te compliance to CE regulations and

More information

UNIT 5. Simulink. 1. Introduction

UNIT 5. Simulink. 1. Introduction UNIT 5 Simulink 1. Introduction... 1 2. Simulink... 2 2.1 Starting Simulink... 2 2.2 Model building... 3 2.3 Simulation parameters and Scope block... 5 2.4 Subsystems and masks... 11 2.5 S Functions...

More information

CSCE476/876 Spring Homework 5

CSCE476/876 Spring Homework 5 CSCE476/876 Spring 2016 Assigned on: Friday, Marc 11, 2016 Due: Monday, Marc 28, 2016 Homework 5 Programming assignment sould be submitted wit andin Te report can eiter be submitted wit andin as a PDF,

More information

Introduction to Matlab Simulink. Control Systems

Introduction to Matlab Simulink. Control Systems Introduction to Matlab Simulink & their application in Control Systems ENTC 462 - Spring 2007 Introduction Simulink (Simulation and Link) is an extension of MATLAB by Mathworks Inc. It works with MATLAB

More information

Systems & Control Lab.-Manual

Systems & Control Lab.-Manual German University in Cairo - GUC Information Engineering and Technology Electronics, Communications, & Networks Systems & Control Lab.-Manual (3) A brief overview of: By: Eng. Moustafa Adly ON-OFF control

More information

5.4 Sum and Difference Formulas

5.4 Sum and Difference Formulas 380 Capter 5 Analtic Trigonometr 5. Sum and Difference Formulas Using Sum and Difference Formulas In tis section and te following section, ou will stud te uses of several trigonometric identities and formulas.

More information

PLK-B SERIES Technical Manual (USA Version) CLICK HERE FOR CONTENTS

PLK-B SERIES Technical Manual (USA Version) CLICK HERE FOR CONTENTS PLK-B SERIES Technical Manual (USA Version) CLICK ERE FOR CONTENTS CONTROL BOX PANEL MOST COMMONLY USED FUNCTIONS INITIAL READING OF SYSTEM SOFTWARE/PAGES 1-2 RE-INSTALLATION OF TE SYSTEM SOFTWARE/PAGES

More information

Some Handwritten Signature Parameters in Biometric Recognition Process

Some Handwritten Signature Parameters in Biometric Recognition Process Some Handwritten Signature Parameters in Biometric Recognition Process Piotr Porwik Institute of Informatics, Silesian Uniersity, Bdziska 39, 41- Sosnowiec, Poland porwik@us.edu.pl Tomasz Para Institute

More information

Experiment 3. Getting Start with Simulink

Experiment 3. Getting Start with Simulink Experiment 3 Getting Start with Simulink Objectives : By the end of this experiment, the student should be able to: 1. Build and simulate simple system model using Simulink 2. Use Simulink test and measurement

More information

Cubic smoothing spline

Cubic smoothing spline Cubic smooting spline Menu: QCExpert Regression Cubic spline e module Cubic Spline is used to fit any functional regression curve troug data wit one independent variable x and one dependent random variable

More information

Modeling an Impulse in Simulink

Modeling an Impulse in Simulink INTRODUCTION Often a dynamic system is subject to an impulsive load, such as a blow from a hammer. It is important to be able to model such systems to understand what the response will be. This tutorial

More information

M2TECH EVO SUPPLY LOW NOISE BATTERY POWER SUPPLY/CHARGER USER MANUAL

M2TECH EVO SUPPLY LOW NOISE BATTERY POWER SUPPLY/CHARGER USER MANUAL M2TECH EVO SUPPLY USER MANUAL REV. PRD 8/2012 Warning! Canges or modifications not autorized by te manufacturer can invalidate te compliance to CE regulations and cause te unit to be no more suitable to

More information

JPEG Serial Camera Module. OV528 Protocol

JPEG Serial Camera Module. OV528 Protocol JPEG Serial Camera Module OV528 Protocol LCF-23M1 32mmx32mm or 38mmx38mm LCF-23MA 32mm-38mm Default baudrate 9600bps~115200 bps Auto adaptive 9600bps~115200 bps Page 1 of 15 1.General Description OV528

More information

Parallel Simulation of Equation-Based Models on CUDA-Enabled GPUs

Parallel Simulation of Equation-Based Models on CUDA-Enabled GPUs Parallel Simulation of Equation-Based Models on CUDA-Enabled GPUs Per Ostlund Department of Computer and Information Science Linkoping University SE-58183 Linkoping, Sweden per.ostlund@liu.se Kristian

More information

MAP MOSAICKING WITH DISSIMILAR PROJECTIONS, SPATIAL RESOLUTIONS, DATA TYPES AND NUMBER OF BANDS 1. INTRODUCTION

MAP MOSAICKING WITH DISSIMILAR PROJECTIONS, SPATIAL RESOLUTIONS, DATA TYPES AND NUMBER OF BANDS 1. INTRODUCTION MP MOSICKING WITH DISSIMILR PROJECTIONS, SPTIL RESOLUTIONS, DT TYPES ND NUMBER OF BNDS Tyler J. lumbaug and Peter Bajcsy National Center for Supercomputing pplications 605 East Springfield venue, Campaign,

More information

SORTING 9/26/18. Prelim 1. Prelim 1. Why Sorting? InsertionSort. Some Sorting Algorithms. Tonight!!!! Two Sessions:

SORTING 9/26/18. Prelim 1. Prelim 1. Why Sorting? InsertionSort. Some Sorting Algorithms. Tonight!!!! Two Sessions: Prelim 1 2 "Organizing is wat you do efore you do someting, so tat wen you do it, it is not all mixed up." ~ A. A. Milne SORTING Tonigt!!!! Two Sessions: You sould now y now wat room to tae te final. Jenna

More information

Example: Modeling a Cruise Control System in Simulink

Example: Modeling a Cruise Control System in Simulink Example: Modeling a Cruise Control System in Simulink Physical setup and system equations Building the model Open-loop response Extracting the Model Implementing PI control Closed-loop response Physical

More information

An Explicit Formula for Generalized Arithmetic-Geometric Sum

An Explicit Formula for Generalized Arithmetic-Geometric Sum Applied Matematical Sciences, Vol. 9, 2015, no. 114, 5687-5696 HIKARI Ltd, www.m-ikari.com ttp://dx.doi.org/10.12988/ams.2015.57481 An Explicit Formula for Generalized Aritmetic-Geometric Sum Roberto B.

More information

Coarticulation: An Approach for Generating Concurrent Plans in Markov Decision Processes

Coarticulation: An Approach for Generating Concurrent Plans in Markov Decision Processes Coarticulation: An Approac for Generating Concurrent Plans in Markov Decision Processes Kasayar Roanimanes kas@cs.umass.edu Sridar Maadevan maadeva@cs.umass.edu Department of Computer Science, University

More information

MAC-CPTM Situations Project

MAC-CPTM Situations Project raft o not use witout permission -P ituations Project ituation 20: rea of Plane Figures Prompt teacer in a geometry class introduces formulas for te areas of parallelograms, trapezoids, and romi. e removes

More information

[ MATLAB ] [ Resources ] PART TWO: SIMULINK

[ MATLAB ] [ Resources ] PART TWO: SIMULINK Página 1 de 15 [ MATLAB ] [ Resources ] PART TWO: SIMULINK Contents Introduction Getting Started Handling of Blocks and Lines Annotations Some Examples NOTE: This tutorial is based on Simulink Version

More information

Master the Audit of Information Security Management Systems (ISMS) based on ISO/IEC 27001

Master the Audit of Information Security Management Systems (ISMS) based on ISO/IEC 27001 Lead Auditor Master te Audit of Systems (ISMS) based on Wy sould you attend? Lead Auditor training enables you to develop te necessary expertise to perform an System (ISMS) audit by applying widely recognized

More information

Lab # 3 Time Response Design. State Space and Transfer Functions

Lab # 3 Time Response Design. State Space and Transfer Functions Islamic University of Gaza Faculty of Engineering Computer Engineering Dep. Feedback Control Systems Lab Eng. Tareq Abu Aisha Lab # 3 Lab # 3 Time Response Design State Space and Transfer Functions There

More information

INTRODUCTION TO MATLAB, SIMULINK, AND THE COMMUNICATION TOOLBOX

INTRODUCTION TO MATLAB, SIMULINK, AND THE COMMUNICATION TOOLBOX INTRODUCTION TO MATLAB, SIMULINK, AND THE COMMUNICATION TOOLBOX 1) Objective The objective of this lab is to review how to access Matlab, Simulink, and the Communications Toolbox, and to become familiar

More information

Introduction to Simulink

Introduction to Simulink University College of Southeast Norway Introduction to Simulink Hans-Petter Halvorsen, 2016.11.01 http://home.hit.no/~hansha Preface Simulink, developed by The MathWorks, is a commercial tool for modeling,

More information

The (, D) and (, N) problems in double-step digraphs with unilateral distance

The (, D) and (, N) problems in double-step digraphs with unilateral distance Electronic Journal of Grap Teory and Applications () (), Te (, D) and (, N) problems in double-step digraps wit unilateral distance C Dalfó, MA Fiol Departament de Matemàtica Aplicada IV Universitat Politècnica

More information

Network Coding to Enhance Standard Routing Protocols in Wireless Mesh Networks

Network Coding to Enhance Standard Routing Protocols in Wireless Mesh Networks Downloaded from vbn.aau.dk on: April 7, 09 Aalborg Universitet etwork Coding to Enance Standard Routing Protocols in Wireless Mes etworks Palevani, Peyman; Roetter, Daniel Enrique Lucani; Fitzek, Frank;

More information