5 Days of Matlab, Simulink SimScape – New 2022!

在 Matlab、Simulink 和 SimScape 中构建和仿真强大的模型。掌握传递函数、PID、AI/ML 和实时脚本！

您将学习什么
使用 SimScape 中的物理建模技术对机械系统进行建模
和仿真 使用 Simulink 在时域中建模和仿真系统
使用 Matlab 实时脚本分析系统响应和更改模型参数
了解控制系统的基本概念并开发自己的控制器Simulink
了解控制系统理论，开发 PID 控制器，并在 Simulink 中调整控制器
使用拉普拉斯变换将系统从时域转换为 S 域
了解传递函数的概念
了解刚度和阻尼系数对二阶系统的影响
了解人工智能、机器学习、深度学习和人工神经网络背后的理论和直觉
在 Matlab 中训练人工智能分类器模型以检测和分类糖尿病和癌症疾病
了解分类器模型 关键性能指标 (KPI)，例如准确性、曲线下面积(AUC) 和接收器操作特性 (ROC) 曲线

要求
无需任何经验，即使您之前从未使用过 MATLAB 或 Simulink 也有
基本的 Matlab 知识

描述
您想以实用、简单、有趣和引人入胜的方式学习 Matlab、Simulink 和 Simscape？

您想在 Simulink 和 Simscape 中构建强大的仿真模型但不知道从哪里开始？

您是一个绝对的初学者，想在 Simulink 和 Simscape 中进行建模/仿真，并寻找一门满足您所需的课程吗？

如果这些问题的答案是肯定的，那么本课程适合您！

Simulink 是一个强大的基于 MATLAB 的工具，用于使用大型综合拖放库设计和仿真机械、电气、机电和液压系统。

这门课程在许多方面都是独一无二的。每天，我们将花 1-2 个小时一起学习如何构建和仿真 Matlab、Simulink 和 simscape 模型。

该课程采用独特的基于项目的学习方法设计，您将在实践中学习！

该课程包括几个练习机会、测验和最终的顶点项目。

参加本课程的学生将能够

在 SimScape 中使用物理建模技术对机械系统进行建模和仿真

使用 Simulink 在时域中建模和仿真系统

使用 Matlab 实时脚本分析系统响应和更改模型参数

了解控制系统的基本概念并在 Simulink 中开发自己的控制器

了解控制系统理论、开发 PID 控制器并在 Simulink 中调整控制器

用您在 MATLAB/Simulink 中的适销对路技能给未来（或当前）雇主留下深刻印象

使用拉普拉斯变换将系统从时域转换为 S 域

理解传递函数的概念

了解刚度和阻尼系数对二阶系统的影响

了解人工智能、深度学习和神经网络背后的理论和直觉

在 Matlab 中训练人工智能模型以检测和分类糖尿病和癌症疾病

了解分类器模型关键性能指标，例如准确度和 ROC 曲线

了解如何使用 Matlab 绘制混淆矩阵

了解训练、验证和测试数据集之间的区别

那么这门课程是为谁准备的呢？

该课程面向任何想要对 Matlab、Simulink 和 simscape 有基本了解并解决实际现实世界业务问题的人。

在本课程中

（1）您将拥有真正的实践项目式学习体验，我们将一起构建超过 5 个项目

(2) 您将可以访问所有代码、Simulink 模型和幻灯片

(3) 您将获得一份结业证书，您可以将其发布在您的 LinkedIn 个人资料上，以向雇主展示您在 Simulink 和 SimScape 中的技能。

(4) 所有这些都提供 30 天退款保证，因此您可以无风险地尝试课程！

查看预览视频和大纲，了解我们将涵盖的项目。

立即注册，让我们一起利用 Matlab Simulink 和 SimScape 的强大功能

Published 06/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 44 lectures (5h 55m) | Size: 6 GB

Build & Simulate Powerful Models in Matlab, Simulink & SimScape. Master Transfer Functions, PID, AI/ML & Live Scripts!

What you’ll learn
Model and simulate Mechanical Systems Using Physical Modeling techniques in SimScape
Model and Simulate Systems in the Time Domain Using Simulink
Analyze Systems Response and Change Model Parameters Using Matlab Live Scripts
Understand the Basic Concepts of Control Systems and Develop their Own Controllers in Simulink
Understand Control System Theory, Develop PID controllers, and Tune Controllers in Simulink
Convert Systems from Time Domain to S-Domain Using Laplace Transform
Understand the Concept of Transfer Functions
Understand the Impact of Stiffness and Damping Coefficients on Second-Order Systems
Understand the Theory and Intuition Behind Artificial Intelligence, Machine Learning, Deep Learning, and Artificial Neural Networks
Train Artificial Intelligence Classifier Models in Matlab to Detect and Classify Diabetes and Cancer diseases
Understand classifier model Key Performance Indicators (KPIs) such as accuracy, Area Under Curve (AUC) and Receiver Operating Characteristic (ROC) Curve

Requirements
There is no prior experience required, even if you have never used MATLAB or Simulink before
Basic knowledge in Matlab

Description
Do you want to learn Matlab, Simulink, and Simscape in a practical, easy, fun, and engaging way?

Do you want to build powerful simulation models in Simulink & Simscape but don’t know where to start?

Are you an absolute beginner who want to break into modeling/simulation in Simulink and Simscape and looking for a course that has everything you need?

If the answer is yes to any of these questions, then this course is for you!

Simulink is a powerful MATLAB-based tool used to design and simulate mechanical, electrical, electromechanical, and hydraulic systems using a large comprehensive drag and drop library.

This course is unique and exceptional in many ways. Every day, we will spend 1-2 hours together and learn how to build and simulate Matlab, Simulink and simscape models.

The course is designed in a unique project-based learning approach, and you will learn by doing!

The course includes several practice opportunities, quizzes, and final capstone projects.

Students who enroll in this course will be able to

Model and simulate Mechanical Systems Using Physical Modeling techniques in SimScape

Model and Simulate Systems in the time domain using Simulink

Analyze the system response and change model parameters using Matlab Live Scripts

Understand the basic concepts of control systems and develop their own controllers in Simulink

Understand control system theory, develop PID controllers, and tune controllers in Simulink

Impress future (or current) employers with your marketable skills in MATLAB/Simulink

Convert systems from the time domain to S-Domain Using Laplace Transform

Understand the concept of transfer functions

Understand the impact of the stiffness and damping coefficients on second order systems

Understand the theory and intuition behind Artificial intelligence, deep learning, and neural networks

Train Artificial Intelligence models in Matlab to detect and classify diabetes and cancer diseases

Understand classifier model Key Performance indicators such as accuracy and ROC Curve

Understand how to plot confusion matrices using Matlab

Learn the difference between training, validation, and testing dataset

So who this course is for?

The course is targeted towards anyone wanting to gain a fundamental understanding of Matlab, Simulink and simscape and solve practical real world business problems.

In this course

(1) you will have a true practical project-based learning experience, we will build over 5 projects together

(2) You will have access to all the codes, Simulink models and slides

(3) You will get a certificate of completion that you can post on your LinkedIn profile to showcase your skills in Simulink and SimScape to employers.

(4) All this comes with a 30-day money back guarantee so you can give a course a try risk free!

Check out the preview videos and the outline to get an idea of the projects we will be covering.

Enroll today and let’s harness the power of Matlab Simulink and SimScape together

Who this course is for
Beginners who want to learn Matlab, Simulink and Simscape Fundamentals and develop their own Models from scratch
Engineers and scientists who are curious about control systems and system modeling
Anyone who’s passionate about technology and want to build powerful simulation models
Control Systems Engineers wanting to learn how to build and tune PID Controllers
Anyone who want to learn about artificial intelligence and machine learning and want to learn practical real world applications using Matlab and simulink
Seasoned consultants wanting to transform businesses by leveraging Virtual tools