Applications of MATLAB in Science and Engineering

522 Pages·2011·16.13 MB·English

by  Tadeusz Michalowski

APPLICATIONS OF
MATLAB IN SCIENCE
AND ENGINEERING

Edited by Tadeusz Michałowski
Applications of MATLAB in Science and Engineering
Edited by Tadeusz Michałowski

Published by InTech
Janeza Trdine 9, 51000 Rijeka, Croatia

Copyright © 2011 InTech
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First published August, 2011
Printed in Croatia

A free online edition of this book is available at www.intechopen.com
Additional hard copies can be obtained from [email protected]

Applications of MATLAB in Science and Engineering, Edited by Tadeusz Michałowski
p. cm.
ISBN 978-953-307-708-6
free online editions of InTech
Books and Journals can be found at
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Contents

Preface IX
Chapter 1 Application of GATES and
MATLAB for Resolution of Equilibrium,
Metastable and Non-Equilibrium Electrolytic Systems 1
Tadeusz Michałowski
Chapter 2 From Discrete to Continuous Gene
Regulation Models – A Tutorial Using the Odefy Toolbox 35
Jan Krumsiek, Dominik M. Wittmann and Fabian J. Theis
Chapter 3 Systematic Interpretation of
High-Throughput Biological Data 61
Kurt Fellenberg
Chapter 4 Hysteresis Voltage
Control of DVR Based on Unipolar PWM 83
Hadi Ezoji, Abdol Reza Sheikhaleslami, Masood Shahverdi,
Arash Ghatresamani and Mohamad Hosein Alborzi
Chapter 5 Modeling & Simulation of Hysteresis
Current Controlled Inverters Using MATLAB 97
Ahmad Albanna
Chapter 6 84 Pulse Converter,
Design and Simulations with Matlab 123
Antonio Valderrábano González,
Juan Manuel Ramirez and Francisco Beltrán Carbajal
Chapter 7 Available Transfer Capability Calculation 143
Mojgan Hojabri and Hashim Hizam
Chapter 8 Multiuser Systems
Implementations in Fading Environments 165
Ioana Marcu, Simona Halunga,
Octavian Fratu and Dragos Vizireanu
VI Contents

Chapter 9 System-Level Simulations
Investigating the System-on-Chip
Implementation of 60-GHz Transceivers for
Wireless Uncompressed HD Video Communications 181
Domenico Pepe and Domenico Zito
Chapter 10 Low-Noise, Low-Sensitivity Active-RC
Allpole Filters Using MATLAB Optimization 197
Dražen Jurišić
Chapter 11 On Design of CIC Decimators 225
Gordana Jovanovic Dolecek and Javier Diaz-Carmona
Chapter 12 Fractional Delay Digital Filters 247
Javier Diaz-Carmona and Gordana Jovanovic Dolecek
Chapter 13 On Fractional-Order PID Design 273
Mohammad Reza Faieghi and Abbas Nemati
Chapter 14 Design Methodology with System
Generator in Simulink of a FHSS Transceiver on FPGA 293
Santiago T. Pérez, Carlos M. Travieso,
Jesús B. Alonso and José L. Vásquez
Chapter 15 Modeling and Control of
Mechanical Systems in Simulink of Matlab 317
Leghmizi Said and Boumediene Latifa
Chapter 16 Generalized PI Control of
Active Vehicle Suspension Systems with MATLAB 335
Esteban Chávez Conde, Francisco Beltrán Carbajal
Antonio Valderrábano González and Ramón Chávez Bracamontes
Chapter 17 Control Laws Design and Validation of Autonomous
Mobile Robot Off-Road Trajectory Tracking Based
on ADAMS and MATLAB Co-Simulation Platform 353
Yang. Yi, Fu. Mengyin, Zhu. Hao and Xiong. Guangming
Chapter 18 A Virtual Tool for Computer Aided
Analysis of Spur Gears with Asymmetric Teeth 371
Fatih Karpat, Stephen Ekwaro-Osire and Esin Karpat
Chapter 19 The Use of Matlab in Advanced
Design of Bonded and Welded Joints 387
Paolo Ferro
Chapter 20 ISPN: Modeling Stochastic with Input
Uncertainties Using an Interval-Based Approach 409
Sérgio Galdino and Paulo Maciel
Contents VII

Chapter 21 Classifiers of
Digital Modulation Based on the
Algorithm of Fast Walsh-Hadamard
Transform and Karhunen-Loeve Transform 433
Richterova Marie and Mazalek Antonin
Chapter 22 Novel Variance Based Spatial Domain
Watermarking and Its Comparison with
DIMA and DCT Based Watermarking Counterparts 451
Rajesh Kannan Megalingam, Mithun Muralidharan Nair,
Rahul Srikumar, Venkat Krishnan Balasubramanian
and Vineeth Sarma Venugopala Sarma
Chapter 23 Quantitative Analysis of Iodine Thyroid and
Gastrointestinal Tract Biokinetic Models Using MATLAB 469
Chia Chun Hsu, Chien Yi Chen and Lung Kwang Pan
Chapter 24 Modelling and
Simulation of pH Neutralization Plant
Including the Process Instrumentation 485
Claudio Garcia and Rodrigo Juliani Correa De Godoy

Preface

MATLAB (Matrix Laboratory) is a matrix-oriented tool for mathematical
programming, applied for numerical computation and simulation purposes. Together
with its dynamic simulation toolbox Simulink, as a graphical environment for the
simulation of dynamic systems, it has become a very powerful tool suitable for a large
number of applications in many areas of research and development. These areas
include mathematics, physics, chemistry and chemical engineering, mechanical
engineering, biological and medical sciences, communication and control systems,
digital signal, image and video processing, system modeling and simulation, statistics
and probability. Generally, MATLAB is perceived as a high-level language and
interactive environment that enables to perform computational tasks faster than with
traditional programming languages, such as C, C++, and Fortran.
Simulink is integrated with MATLAB as MATLAB/Simulink, i.e., data can be easily
transferred between the programs. MATLAB is supported in Unix, Macintosh, and
Windows environments. This way, Simulink is an interactive environment for
modeling, analyzing, and simulating a wide variety of dynamic systems.
The use of MATLAB is actually increasing in a large number of fields, by combining
with other toolboxes, e.g., optimization toolbox, identification toolbox, and others. The
MathWorks Inc. periodically updates MATLAB and Simulink, providing more and
more advanced software. MATLAB handles numerical calculations and high-quality
graphics, provides a convenient interface to built-in state-of-the-art subroutine
libraries, and incorporates a high-level programming language. Nowadays, the
MATLAB/Simulink package is the world’s leading mathematical computing software
for engineers and scientists in industry and education.
Due to the large number of models and/or toolboxes, there is still some work or
coordination to be done to ensure compatibility between the available tools. Inputs
and outputs of different models are to-date defined by each modeler, a connection
between models from two different toolboxes can thus take some time. This should be
normalized in the future in order to allow a fast integration of new models from other
toolboxes. The widespread use of these tools, is reflected by ever-increasing number of
books based on the MathWorks Inc. products, with theory, real-world examples, and
exercises.
X Preface

This book presents a review of some activities in modeling and simulation processes.
Chapter 1 is devoted to the Generalized Approach To Electrolytic Systems (GATES),
applicable for resolution of electrolytic systems of any degree of complexity with use
of iterative computer programs (e.g., one offered by MATLAB) applied to the set of
non-linear equations, where all physicochemical knowledge can be involved. The
Generalized Electron Balance (GEB), immanent in formulation of all redox systems, is
considered in categories of general laws of the matter preservation.
MATLAB programs are also related to biological sciences. Chapter 2 presents the
Odefy toolbox and indicates how to use it for modeling and analyzing molecular
biological systems. The concepts of steady states, update policies, state spaces, phase
planes and systems parameters are also explained. Applicability of Odefy toolbox for
studies on real biological systems involved with stem cell differentiation, immune
system response and embryonal tissue formation is also indicated.
Much of the data obtained in molecular biology is of quantitative nature. Such data are
obtained with use of 2D microarrays, e.g., DNA or protein microarrays, containing 104
- 105 spots arranged in the matrix form (arrayed) on a chip, where e.g., many parallel
genetic tests are accomplished (note that all variables in MATLAB are arrays). For
effective handling of the large datasets, different bioinformatic techniques based on
matrix algebra are applied to extract the information needed with the use of MATLAB.
A review of such techniques in provided in Chapter 3.
A reference of MATLAB to physical sciences is represented in this book by a series of
chapters dealing with electrical networks, communication/information transfer and
filtering of signals/data. There are Chapters: 4 (on a hysteresis voltage control
technique), 5 (on hysteresis current controlled inverters), 6 (on voltage source
converter), 7 (on power transmission networks), 8 (on fading in the communication
channel during propagation of signals on multiple paths between transmitter and
receiver), 9 (on wireless video communication), 10 (on active RC-filters done to
diminish random fluctuations in electric circuits caused by thermal noise), 11 (on comb
filter, used for decimation, i.e., reduction of a signal sampling rate), 12 (on fractional
delay filters, useful in numerous signal processing), and 13 (on tuning methods).
MATLAB is an interactive environment designed to perform scientific and engineering
calculations and to create computer simulations. Simulink as a tool integrated with
MATLAB, allows the design of systems using block diagrams in a fast and flexible
way (Chapter 14). In this book, it is applied for: mechanical systems (Chapter 15);
hydraulic and electromagnetic actuators (Chapter 16); control of the motion of
wheeled mobile robot on the rough terrain (Chapter 17); comparative study on spur
gears with symmetric and asymmetric teeth (Chapter 18); thermal and mechanical
models for welding purposes (Chapter 19). A toolbox with stochastic Markov model is
presented in Chapter 20.