Learn Programming in MATLAB – Advance your system programming, embedded systems, and application development career by learning programming in MATLAB & Simulink.
MATLAB & Simulink is important because of its efficiency, portability, compatibility, and its role as a foundation for build and designing hardware components using software algorithms.
This course covers everything from concept to visualization to implementation.
Learn about efficiency, portability, compatibility, and why programming in MATLAB & Simulink is known as a foundation for hardware and software design.
This module is part of the PG Diploma in Embedded Systems Design & Development
Course Name: “Crash Course on MATLAB & Simulink”
Duration – 10 Days
No. Of hours per day – 4 hours
Total No of hours – 40
Pre- and post-assessment – YES
Project – YES
Course completion certificate – YES
Pre-Requisite – Basic understanding of MATLAB & Simulink
Welcome to our crash course on MATLAB & Simulink! In this comprehensive program, we will guide you through the fundamentals of these powerful tools and help you unleash your full potential.
MATLAB is a high-level programming language and environment that is widely used for numerical computation, data analysis, and algorithm development. It provides a versatile platform for solving complex mathematical problems and visualizing data. With MATLAB, you can perform a range of tasks, from simple calculations to advanced machine learning algorithms.
On the other hand, Simulink is a block diagram environment for multi-domain simulation and model-based design. It allows you to create models, simulate dynamic systems, and perform real-time testing. Simulink is especially beneficial for engineers and scientists in control systems, signal processing, and robotics.
MATLAB & Simulink is a user-friendly programming language for circuit simulation, image processing, aerodynamics, and embedded development. Its syntax is user-friendly with robust inbuilt functions, and the implementation time is significantly lower than that of the C programming language. Within the electronics field, equipment design necessitates digital processing and accuracy. MATLAB plays a major role in the development of voice control applications for real-time devices.
| Introduction to MATLAB | Applications The profiler | MATLAB code generation for an inline or anonymous function |
|---|---|---|
| What Is MATLAB Does MATLAB Do Symbolic Calculations Starting and Quitting MATLAB Will MATLAB Run on My Computer | Language-specific Features Solutions to Systems of Linear Equations Integration and Differentiation Global variables Symbolic Processing Use of comments to create online help Continuation Loops, branches, and control-flow Interactive input Recursion Input/output Advanced-Data Objects Strings, Time, Base Conversions, and Bit Operations Multidimensional matrices Structures Cells Publishing Reports Linear Algebra Solving a linear system Gaussian elimination Finding eigenvalues and eigenvectors Matrix factorizations Curve Fitting and Interpolation Polynomial curve fitting on the fly | Generating M-files from symbolic expressions M-File Programming Program Development Working with M-Files M-File Scripts and Functions Function Arguments Function Handles Calling Functions Types of Functions Overview of MATLAB Function Types Anonymous Functions Primary M-File Functions Nested Functions Subfunctions |
| Basics of MATLAB | Graphics | INTRODUCTION TO SIMULINK |
| Basics of MATLAB On-line help Input-output File types Platform dependence General commands you should remember A Minimum MATLAB Session Creating and Working with Arrays of Numbers Creating and Printing Simple Plots Creating, Saving, and Executing a Script File Creating and Executing a Function File Anonymous Functions Symbolic Computation Importing and Exporting Data Files and Directories Publishing Reports | Curve fitting with polynomial functions Least squares curve fitting General nonlinear fits Interpolation Data Analysis and Statistics Numerical Integration (Quadrature) Double integration Ordinary Differential Equations ode23 versus ode45 Specifying tolerance The ODE suite Event location Nonlinear Algebraic Equations Roots of polynomials | Overview of Simulink Features and Architecture Start using Simulink Block Libraries Create a new Model Wiring techniques Help Window Configuration Simulation in Simulink Discrete Dynamical Systems Logical Expressions Modeling from an Algorithm Mixed-Signal Systems Solving Models with Simulink Solver Simulink Subsystems and Libraries Performing Spectral Analysis with Simulink Modeling Multirate Systems Data-driven Modelling Using the Command window Using a m-file Simulation Commands Mass-Spring-Damper System Simulink Simulation |
| Directional Explorations | Plots | Stateflow |
| Arrays and Matrices Matrices and Magic Squares Expressions Working with Matrices Creating and Concatenating Matrices Matrix Indexing More About Matrices and Arrays Getting Information About a Matrix Resizing and Reshaping Matrices Shifting and Sorting Matrices Operating on Diagonal Matrices Empty Matrices, Scalars, and Vectors Full and Sparse Matrices Multidimensional Arrays Summary of Matrix and Array Functions Controlling Command Window Input and Output | Basic 2-D Plots Line Plots Style options Labels, title, legend, and other text objects Axis control, zoom in and zoom out Modifying plots with the plot editor Overlay plots Speciali zed 2-D plots Using subplot for Multiple Graphs 3-D Plots Rotate view Mesh and surface plots Vector field and volumetric plot Interpolated surface plots | Create a Stateflow Model Modeling Flow Graph Modeling State Machine Parallel State Charts Events in State Charts Functions in State Charts Truth Tables and State Transition Tables Stateflow Debugger Finite State Machine Concepts Stateflow and Simulink Stateflow Graphical Components Stateflow Diagram Objects Overview of Stateflow Objects Executing an Event Executing a Chart Executing a Transition Executing a State Using the Stateflow Editor Using States in Stateflow Charts Using Transitions in Stateflow Charts Using Boxes in Stateflow Charts Using Graphical Functions in Stateflow Charts Using Junctions in Stateflow Charts Using Notes in Stateflow Charts Using Subcharts in Stateflow Charts Using Supertransitions in Stateflow Charts Printing and Reporting on Charts Defining Events Defining Data Action Types Defining Stateflow Interfaces |
| Data Types | Animation & Graphics | |
| Overview of MATLAB Data Types Numeric Types Logical Types Characters and Strings Dates and Times Structures Cell Arrays Function Handles | Handle Graphics Printing Graphics Graphics User Interfaces The object hierarchy Object handles Object properties Modifying an existing plot Complete control over the graphics layout Fun with 3-D Surface Graphics Generating a cylindrical surface Face color, transparency, and light reflection | Interactive Computation | Interactive Computation |
| Matrices and Vectors Input 65 Indexing (or subscripting) Matrix manipulation Creating vectors Matrix and Array Operations Arithmetic operations Relational operations Logical operations Elementary math functions Matrix functions | A word about choosing colors Saving and Printing Graphs Saving graphs to reusable files | |
| Scripts and Functions Character strings | Debugging Tools | |
| Manipulating character strings The eval function Special Note on Array Operations Vectorization Command-Line Functions Inline functions Anonymous functions Using Built-in Functions and On-line Help Saving and Loading Data Saving into and loading from the binary Mat-file Importing data files Recording a session with a diary Plotting Simple Graphs Script Files Function Files Executing a function More on functions M-Lint code analyzer Subfunctions Nested functions Compiled (parsed) functions: The p-code | Symbolic Math Toolbox and Computer Algebra The Symbolic Math Toolbox The Symbolic Math Toolbox has two essential tools Contents Numeric Versus Symbolic Computation Variable precision arithmetic Using the Symbolic Math Toolbox to Get Help Using the Symbolic Math Toolbox Basic manipulations Talking to itself | |
MATLAB & Simulink is a user-friendly programming language for circuit simulation, image processing, aerodynamics, and embedded development. Its syntax is user-friendly with robust inbuilt functions, and the implementation time is significantly lower than that of the C programming language. Within the electronics field, equipment design necessitates digital processing and accuracy. MATLAB plays a major role in the development of voice control applications for real-time devices.
Engineers who have learned MATLAB and Simulink skills have a wide range of career opportunities. These skills are highly valued in industries such as automotive, aerospace, robotics, telecommunications, and renewable energy, where modeling, simulation, and data analysis play a crucial role in engineering.
One of the career paths for engineers proficient in MATLAB and Simulink is in control systems engineering. These engineers design and develop systems that control the behavior of complex dynamic processes, such as robotic systems, autonomous vehicles, and industrial automation. MATLAB and Simulink provide powerful tools for modeling and simulating dynamic systems, designing control algorithms, and analyzing system performance.
Another career opportunity is in the field of signal processing. MATLAB’s extensive signal processing toolbox enables engineers to perform tasks such as filtering, transformation, and analysis of signals, which are crucial in various industries such as telecommunications, audio processing, and medical imaging.
Engineers with MATLAB and Simulink skills can also pursue careers in algorithm development and implementation. MATLAB provides a robust environment for developing and testing algorithms, making it an essential tool for engineers involved in computer vision, machine learning, and data analytics.
Moreover, research and development roles in academia, government agencies, and private industries often require proficiency in MATLAB and Simulink. These engineers work on innovative projects in areas such as computational biology, image processing, optimization, and numerical analysis, using MATLAB and Simulink to prototype and validate their ideas.
Engineers who have learned MATLAB programming can get designations like:-MATLAB/Simulink Engineer, Control Systems Engineer, Signal Processing Engineer, Algorithm Developer, and Research and Development Engineer
In summary, engineers who have learned MATLAB and Simulink have diverse career options in control systems engineering, signal processing, algorithm development, research and development, and many other fields. Job opportunities can be found in industries such as automotive, aerospace, robotics, telecommunications, and renewable energy.
Industrial Automation: MATLAB and Simulink are commonly used in industrial automation applications. They can be used to model and simulate industrial processes, control systems, and optimize manufacturing operations.
Signal Processing: MATLAB provides a powerful environment for signal-processing tasks. Simulink’s DSP System Toolbox is particularly useful for modeling and simulating signal processing and communications system.
Control Design: Simulink’s Control Design toolbox enables engineers to design and analyze control systems. It allows for the linearization of models and the design of control algorithms.
Power Electronics Simulation: Simulink is widely used for simulating and modeling power electronic systems. It allows for the design and testing of complex power electronic circuits and systems.
Robotics and Autonomous Systems: MATLAB and Simulink can be used for modeling and simulating robotic systems and developing control algorithms for autonomous vehicles.
Image and Video Processing: MATLAB offers extensive functionality for image and video processing applications. It provides tools for tasks like image enhancement, feature extraction, and object recognition.
Financial Modeling and Analysis: MATLAB is commonly used in the finance industry for tasks such as risk analysis, portfolio optimization, and algorithmic trading.
Biomedical Engineering: MATLAB and Simulink are widely used in biomedical engineering for tasks such as signal processing of physiological data, image analysis, and modeling biological systems.
Aerospace and Defense: MATLAB and Simulink are extensively utilized in the aerospace and defense industries. They are employed for tasks such as radar system design, flight simulations, and control system development.
Academic Research and Education: MATLAB and Simulink are widely used in academic research and education across various disciplines. They provide a platform for teaching and learning concepts related to mathematics, engineering, and data analysis
Math Works developed MATLAB as a programming language. Initially, it was a matrix programming language, in which linear algebra programming was straightforward. MATLAB-matrix laboratory. It performs Matrix manipulation; plotting functions and data; algorithm implementation; user interface development; program interaction; data analysis; algorithm development; model and application development; many built-in commands, mathematical functions, mathematical calculations, plotting, and numerical methods.MATLAB is a powerful programming language designed for numerical computing, visualization, and application development. It offers an interactive environment for exploratory exploration, design, and problem-solving. It also provides a comprehensive library of mathematical functions, including linear algebra, statistics, and Fourier analysis. Additionally, it offers built-in graphics to visualize data and the ability to create custom plots. The MATLAB programming interface provides development tools to improve code quality and maintainability while also increasing performance. Additionally, MATLAB provides tools for constructing applications with customization graphical interfaces, as well as functions to integrate MATLAB-based algorithms with external programs and languages, including C, Java, and .NET, as well as Microsoft Excel.
Simulink, a graphical programming language for modeling, simulation, and analysis of multidimensional dynamic systems, is an integrated development environment for MATLAB-based systems. Developed in collaboration with Math Works, Simulink is designed to facilitate the development of graphical block diagrams and provides a set of customizable block libraries for data flow programming.
State flow enables the creation of state machines and flow diagrams. Simulink Coder generates C source code for the automatic implementation of systems in real time. Embedded Coder supports embedded targets. High Definition Language (HDL) Coder enables the automatic generation of synthesized Visual Basic for Linux (VHDL) and Verilog and Sim Events is a library of graphics building blocks for modeling queue systems.
Simulink is a widely used tool for modeling, simulating, and analyzing dynamic systems.it is extensively used in control systems, robotics, and automotive and power systems. It also provides options to generate code from models which can be deployed on applications of microcontrollers FPGA and embedded systems designs.
The real-time design involves power trains, wind turbines, solar energy resources, electric vehicles, power converters, and battery management system design. It also provides huge support in the financial sector for the analysis of data.
There is no replacement tool for Matlab Simulink for performing calculations.it is widely used in signal generation processing and also auto code generation which involves the design of the processor.in control systems, the response of the system is calculated using this Matlab plot diagram.
The use of learning this software provides a good platform to view the toolboxes and visualize complex data sheets. It helps to debug easily and provides a platform to develop applications with a graphical user interface. Matlab can be easily integrated with Python programming, c++, and Excel languages with specific designs.
It is a very rare scenario that ever happened in our institutes. this challenge can resolve by considering their mock performance at each stage and provide training accordingly to our mentors. placement opportunities are made available till they got a job and made them good training on each and every aspect of logic weakness. our curriculum covers in-depth modules on each and every topic
ODE stands for ordinary differential equations.it is a set of tools and functions provided by Matlab software to analyze and solve the system of differential equations. The main function for solving ODEs in Matlab is ode45 implements the rung-kurta method.other ode solvers involves ode23,ode113 and ode15s.
It is also called as GNU octave. Mainly used to solve problems on linear/nonlinear calculations.it is a free alternative to Matlab with similar syntax and functionality.
The main features involve:
A)it supports matrix-based operations
B)It has a large number of inbuilt functions for various mathematical operations signal processing linear algebra and so on.
C)it provides powerful plotting capabilities involved in the design of histograms, and bar charts and also involves in scripting for the development of complex programs.
D)octave also supports external libraries and tools, enabling data exchange integration with other programming languages.
It is used to find the root or zero of a single variable function. It works based on bisection and interpolation methods. This is not suitable for finding more complex equations.it is a type of command function where the function crosses the x-axis or changes the sign.
Matlab is widely used in Linux operating systems. In Linux, one can create Matlab functions and scripts using a text editor and run by using the command prompt window. Matlab with Linux is used in real-time control system applications like robotics, sensor data fusion technologies, and autonomous vehicles.
It supports cloud-based capabilities and services provided by math works. It supports users to access Matlab without the need for local installation. It is also used with any device with a valid internet connection. One common key component involved with Matlab is the Matlab drive. It Helps in storing, managing, and synchronizing Matlab files and data in the cloud.
It is a function used to create an array or matrix filled with ones. It helps the user to create an array of a specified size and each element is set to value 1. The syntax used with one function involves
A= ones(sz)
Sz is a scalar or vector which specifies the size of the output matrix.
Matlab provides a set of functions and tools that allow you to communicate with Arduino boards read sensor data, and control actuators. Connect the Arduino board to the PC through the serial wire and install packages from Arduino. After successful completion data is read from the sensor using the Arduino function “read digital pin”. Matlab provides a platform with a c/c++ algorithm and makes that code deployed in an Arduino board.
The tool used is SMOP(small Matlab and octave to Python compiler). It helps in the translation of Matlab/octave code into equivalent Python code. It contains vast library compatibility with equivalent Python libraries such as numpy,scipy etc.
In Matlab, the function used as ’min’. it is used to find the minimum value in an array and also used to find the minimum element between the multiple arrays.
Syntax:
For example: A=[3,5,2,4,1];
m= min(A);
