Lecture 1: How to Install Matlab 2010
Summary: This section introduces the installation process for friends who are trying to install Matlab 2010 for the first time. The installation process for later versions can be used as a reference.
Lecture 2: Quickly Familiarize Yourself with the Matlab Working Environment
Summary: Familiarizing yourself with the Matlab working environment is the primary learning task to embark on your usage journey. Subsequent versions will build on this, and I believe you will quickly master it.
Lecture 3: Understanding Matlab File Creation and Management
Summary: Through this lecture, you will understand the relationship between Matlab file calls and file storage locations, laying the foundation for organizing and managing multiple files in the future. Matlab does not have a single project file; large projects need to be managed through directories. Do not use Matlab as a large calculator.
Lecture 4: Mastering Data Types and Operators
Summary: Data types and operators are essential components of learning any programming language, and those with a basic understanding of programming will find it easy. However, remember that the basic data element in Matlab is a matrix, not a single number. A single number (scalar) is treated as a 1×1 matrix.
Lecture 5: Using Common Matlab Functions
Summary: Remember these categories of common functions, which can solve over 90% of your problems. Basic mathematical functions (such as power operations, trigonometric functions, exponential and logarithmic functions, etc.), matrix and array operation functions, plotting functions, and data analysis functions.
Lecture 6: Basic Methods for Plotting in Matlab
Summary: Matlab’s help documentation is quite good. After learning the basic methods for plotting, you can easily manage plotting programming by checking the help documentation; reading books is really unnecessary!
Lecture 7: Branch Control in Execution Flow
Summary: The branch control structure allows Matlab programs to dynamically adjust the execution path based on the value of conditions or expressions. If-else is suitable for conditional judgments, switch-case is suitable for multiple branch selections, and try-catch is used for error handling. These structures are important tools for achieving program logic diversity and robustness.
Lecture 8: 3D Plotting in Matlab
Summary: 3D plotting is often used to display the distribution and relationships of three-dimensional data. The key to 3D plotting in Matlab is not just in drawing but in preparing matching data and setting graphic properties for the chosen plotting functions.
Lecture 9: Techniques for Plotting Multiple Curves in One Graph
Summary: Plotting multiple curves in one graph has many application needs. The content of this lecture is very suitable for those who need to write papers; you will definitely gain something after learning it.
Lecture 10: Understanding the Simulink Working Environment
Summary: Students often ask whether to learn Maple or Matlab. My opinion: it is best to learn both, but if you have to choose one, then science students should learn Maple, and engineering students should learn Matlab. Matlab’s strength lies in simulation, and Simulink is a graphical programming environment for Matlab used for multi-domain simulation and model-based design.
Lecture 11: Usage of Operation and Routing Modules
Summary: In Simulink, operation modules and routing modules are commonly used types of modules for building models. They are used to perform mathematical operations and control signal transmission, respectively. Operation modules execute various mathematical operations, including basic arithmetic, matrix operations, and logical operations. Routing modules control the transmission paths of signals, including merging, distributing, selecting, and switching signals.
Lecture 12: Usage of User-Defined Function Modules
Summary: The User-Defined Function Block is an important component in Simulink that allows users to create custom functions or algorithms and embed them into Simulink models. These modules can be used to implement complex mathematical operations, logical control, signal processing, and more.
Lecture 13: Application Example: Ship Z-Type Test
Summary: The combination of Matlab code and Simulink modules can greatly enhance the flexibility and efficiency of modeling and simulation. Users can seamlessly switch between Matlab and Simulink to achieve a complete workflow from data generation to result analysis. This lecture introduces the method of using Matlab code in conjunction with Simulink modules through the practical application scenario of the ship Z-type test.
Lecture 14: Digital Prototype Design Based on Matlab/Simulink
Summary: Digital prototype design based on Matlab/Simulink is an efficient and flexible design method that can significantly shorten product development cycles and reduce development costs. With the powerful capabilities of MATLAB and Simulink, users can complete system modeling, simulation, optimization, and verification in a virtual environment, ultimately generating high-quality embedded code and deploying it to actual hardware. This lecture demonstrates the digital prototype of a ship autopilot designed based on Matlab/Simulink.