matlab百科 matlab 2020b 本地化服务

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Matlab在机电一体化的应用
Developing mechatronic systems requires integrating mechanical, electrical, control, and embedded software subsystems. Model-Based Design and MathWorks products enable you to design and simulate all of these domains in a single environment.
Through desktop and real-time simulations, you can:
Predict and optimize system performance
Understand and manage complex system interactions
Detect design inefficiencies and integration errors early during development
Verify and test mechatronic systems such as motor control using fewer hardware prototypes.
Eliminate manual coding errors by automatically generating code from the simulation model

Mathematical models are critical to understanding and accurately predicting the behavior of complex systems. These models enable critical tasks, such as:
Forecasting and optimizing system behavior
Designing control systems
Characterizing system response
MathWorks products provide all the tools you need to develop mathematical models. MATLAB® supports both numeric and symbolic modeling approaches and provides curve fitting, statistics, optimization, ODE and PDE solving, calculus, and other core mathematical tools. Simulink® adds an environment for modeling and simulating the behavior of multidomain systems and for developing embedded systems.

Large-scale simulations and data processing tasks that support engineering and scientific activities such as mathematical modeling, algorithm development, and testing can take an unreasonably long time to complete or require a lot of computer memory.
You can speed up these tasks by taking advantage of high-performance computing resources, such as multicore computers, GPUs, computer clusters, and grid and cloud computing services.
MathWorks parallel computing products let you use these resources from MATLAB® and Simulink® without making major changes to your computing environment and workflows. Using parallel computing products, you can:
Reduce your programming effort
Run an application across a range of high-performance computing resources
Program and execute parallel code interactively or in batch mode

在嵌入式设备上运行
自动将 MATLAB 算法转换为 C/C++ 和 HDL 代码，从而在嵌入式设备上运行。

Run on Embedded Devices
与基于模型的设计集成
MATLAB 与 Simulink 配合以支持基于模型的设计，用于多域仿真、自动生成代码，以及嵌入式系统的测试和验证。

将 MATLAB 用于：
数据分析
探索如何使用 MATLAB 进行大数据、机器学习和生产分析。

无线通信
探索 MATLAB 如何帮助您开发算法和执行全面的无线系统仿真。

MATLAB® makes data science easy with tools to access and preprocess data, build machine learning and predictive models, and deploy models to enterprise IT systems.

Access data stored in flat files, databases, data historians, and cloud storage, or connect to live sources such as data acquisition hardware and financial data feeds
Manage and clean data using datatypes and preprocessing capabilities for programmatic and interactive data preparation, including apps for ground-truth labeling
Document data analysis with MATLAB graphics and the Live Editor notebook environment
Apply domain-specific feature engineering techniques for sensor, text, image, video, and other types of data