Engineering Education and Research Using MATLAB

Modeling and Simulation of Multiphase Machines in the Matlab/Simulink Environment 

1. Introduction 
2. Variety, modelling and representation of multiphase winding schemes
2.1 Graphical representation convention
2.2 Modeling assumptions
3. Multiphase machine modelling through Vector-Space Decomposition
3.1 Selection of the conventional multiphase model
3.2 Geometrical transformation into conventional winding scheme
3.3 Machine model in conventional multiphase variables
3.4 VFD transformation matrix
3.5 Machine model in transformed coordinates
4. VSD model implementation in the Matlab/Simulink environment
4.1 Implementation of multiphase machine model in conventional phase variables
4.2 Interface with external blocks
4.3 Model parameterization, initialization and adaptation to different multiphase machines
5. Examples of application
6. References

De-Noising Audio Signals Using MATLAB Wavelets Toolbox

1. Introduction
2. Basic audio theory
2.1 Recording audio signals in Simulink/MATLAB
3. Basic noise theory
3.1 Signal to noise ratio
3.2 White noise
3.3 Additive White Gaussian Noise Model (AWGN)
3.4 Adding noise using MATLAB
4. Wavelets theory
4.1 One stage filtering: Approximations and details
4.2 Multiple-level decomposition
4.3 Number of levels
4.4 Wavelet reconstruction
4.5 Wavelet using MATLAB
5. Sine signal example
6. Audio signal example
7. Graphical Interface using GUIDE
8. Conclusions
9. Acknowledges
10. References

A Matlab Approach for Implementing Control Algorithms in Real-Time: RTWT

1. Introduction
2. Application description: Lungs function test
3. Definitions and characteristics: Real-time systems
4. Implementation of real-time controllers using RTWT1
4.1 Overview on RTWT
4.2 Real time kernel
4.3 System concepts
4.4 Installation of the software RTWT
4.5 Hardware I/O boards
5. Application of the real-time control in a lung function test device
5.1 Implementing the simulink model
5.2 Experimental results
6. Conclusions
7. References

MatLab in Model-Based Design for Power Electronics Systems

1. Introduction
2. Slip energy recovery (SER) system
2.1 Circuit configuration
2.2 Model implemented in MatLab/Simulink
2.3 Simulation results
2.4 Harmonic analysis
2.5 Experimental results
2.6 Conclusions
3. Power electronic converter for a fuel cell (FC) system
3.1 Requirements and selection of the converter topology
3.2 Model of the converter in MatLab/Simulink
3.3 PEM Controller
3.4 Simulation results
3.5 Experimental results
3.6 Conclusions
4. Conclusions
5. Acknowledgment
6. References

Mixed-Signal Circuits Modelling and Simulations Using Matlab

1. Introduction
2. Top down design approach
3. Mixed-signal integrated circuits
3.1 Basic building blocks of mixed-signal circuits
3.2 Simulink blocks that can be used for mixed-signal modules
4. System level design
4.1 The basics of a S-. A/D converter design
4.2 Synthesis of a discrete time noise transfer function
4.3 Simulink model
4.4 Limit cycles analysis
4.5 Scaling
5. High level modelling of the mixed-signal circuits
5.1 Modelling Switched-Capacitor (S-C) circuits
5.2 Capacitor ratios
5.3 Adding circuit design parameters to the model
5.4 Quantizer model
5.5 Simulation and analysis
6. Decimator
7. Conclusion
8. Acknowledgment 
9. References 

Control Optimization Using MATLAB

1. Introduction
2. PID regulator
3. LQR regulator with feed-forward controller
3.1 Results and simulation after using LQR
4. PI-MIMO regulator
5. Case studies
5.1 Inverted pendulum
5.2 Modelling of a robotic arm
6. Conclusion
7. References

MATLAB GUI Application for Teaching Electronics

1. Introduction
2. Operational amplifiers
2.1 Inverting amplifier
2.2 Non-inverting amplifier
2.3 Voltage follower
2.4 Summing amplifier
2.5 Differential amplifier
3. Basic electric circuits
3.1 Voltage divider
3.1 Current divider
4. Graphical MATLAB-based tool
4.1 GUI layout and programming
4.2 Running the GUI
5. Conclusion
6. References

MATLAB-Assisted Regression Modeling of Mean Daily Global Solar Radiation in Al-Ain, UAE

1. Introduction
2. Methodology
2.1 Procedure
2.2 Definition of the statistical error parameters
3. Conclusion
4. Acknowledgment
5. References

Using MATLAB to Develop Artificial Neural Network Models for Predicting Global Solar Radiation in Al Ain City – UAE

1. Introduction
2. Background
2.1 Neural network
2.2 Multilayer preceptor (MLP)
2.3 Radial Basis Function (RBF)
3. Problem definition
4. Designing and programming ANN models
4.1 Designing ANN models
4.2 Programming the neural network model
5. Results and discussion
6. Conclusion
7. Acknowledgment
8. References

Fractional Derivatives, Fractional Integrals, and Fractional Differential Equations in Matlab

1. Introduction
2. Fractional calculus fundamentals
2.1 Special functions
2.2 Fractional derivatives and integrals
2.3 Numerical methods for fractional calculus
3. Ordinary fractional differential equations
4. Partial fractional differential equations
5. Nonlinear fractional differential equations
6. Conclusion
7. References

Analysis of Dynamic Systems Using Bond Graph Method Through SIMULINK

1. Introduction
2. Bond Graph method
2.1 Bond Graph basis
2.2 Mechanical example
3. Introduction to Simulink
4. Simulink application
5. Application example
5.1 Free vibration
5.2 Forced vibration below natural frequency
5.3 Forced vibration at natural frequency
5.4 Forced vibration up to natural frequency
6. Two Degrees of Freedom Model
7. Conclusion
8. References

Solving Fluid Dynamics Problems with Matlab

1. Introduction
2. Instabilities in lid-driven cavities
2.1 Lid-driven cavity flow.
2.2 Use of Matlab for the solution of the discrete system
2.3 Results for lid-driven cavity
3. Flow past circular cylinders
4. Transonic flows past airfoils
4.1 The mathematical model
4.2 The use of GUIs
5. Conclusions
6. References

The Use of Matlab in the Study of the Glass Transition and Vitrification in Polymers

1. Introduction
2. Theoretical aspects
3. Three step cycles
3.1 Phenomenology
3.2 The peak shift method
4. Temperature modulated DSC (TMDSC)
5. Crosslinking reaction in thermosetting polymers
5.1 Theoretical aspects of cure kinetics
5.2 Cure reaction with vitrification
6. Conclusions
7. Acknowledgement
8. References

Advanced User-Interaction with GUIs in MatLAB�

1. Introduction
2. SVA-FEA overview
2.1 SVA-FEA data structure
2.2 SVA-FEA software: handling MSC NASTRAN� input files
2.3 SVA-FEA software: selecting mesh nodes
2.4 SVA-FEA software: Tree view implementation
2.5 SVA-FEA software: Assembly tree implementation
2.6 SVA-FEA software: handling MSC NASTRAN output files
2.7 SVA-FEA software: Post-processing simulation results
3. PROMesh overview
3.1 PROMesh software: MMP and user interaction
4. Conclusions and final remarks
5. References

Using MATLAB to Achieve Nanoscale Optical Sectioning in the Vicinity of Metamaterial Substrates by Simulating Emitter-Substrate

1. Introduction
2. Modeling the metamaterial coated substrate
3. Fitting the experimental data to the model
4. Optimizing the model and code
5. Example
6. Modifications & extensions
7. Concluding remarks
8. References

A Methodology and Tool to Translate MATLAB�/Simulink� Models of Mixed-Signal Circuits to VHDL-AMS

1. Introduction
1.1 Summary of related work
2. Digital-to-analogue converter modelling
2.1 The R-2R ladder network
2.2 Mathematical model that represents the R-2R ladder
3. Data converter models implemented in MATLAB�/Simulink�
3.1 DAC08 modelled in MATLAB/Simulink
3.2 AD7524 modelled in MATLAB/Simulink
3.3 AD5450 modelled in MATLAB/Simulink
4. The MS2SV model conversion toolbox
4.1 Using the MS2SV toolbox
4.2 MS2SV toolbox evaluation
5. Conclusions
6. Acknowledgments
7. References

Automated Model Generation Approach Using MATLAB

1. Introduction
2. Review of automated model generation approaches using MATLAB
3. The multiple model generation approach using MATLAB
3.1 Introduction to least square estimate
4. Results and discussions
4.1 A single model detection
4.2 High level fault modeling (HLFM)
5. Conclusion
6. Acknowledgment
7. References

A Matlab Genetic Programming Approach to Topographic Mesh Surface Generation

1. Introduction
2. Previous works
3. Genetic programming
3.1 Genetic programming operators
4. A GA toolbox for MATLAB
5. GP structures in MATLAB
5.1 Function evaluation
6. Estimation of topographic surface by means of GP toolbox in MATLAB
7. Results analysis
8. Conclusions
9. Aknowledgment
10. References

Matlab Solutions of Chaotic Fractional Order Circuits

1. Introduction
2. Fractional calculus
2.1 Fundamentals
2.2 Fractional order differential equations
3. Fractional order circuits
3.1 Basic properties of fractional order circuits
3.2 Chaotic fractional order circuits
4. Conclusion
5. References

Digital Watermarking Using MATLAB

1. Introduction
2. Basic image processing commands in MATLAB
2.1 Loading an image
2.2 Displaying an image
2.3 Creating an image
3. Watermarking methods
3.1 Watermarking in spatial domain
3.2 Watermarking in spectral domain
3.3 Watermarking in hybrid domain
4. Evaluation of watermarking methods
4.1 Imperceptibility
4.2 Robustness
4.3 Capacity
5. Conclusion
6. Acknowledgment
7. References