English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 44 lectures (5h 55m) | 5.92 GB
Build & Simulate Powerful Models in Matlab, Simulink & SimScape. Master Transfer Functions, PID, AI/ML & Live Scripts!
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
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
Table of Contents
Welcome Message
1 Welcome Message
Day 1 Physical Modeling & Simulation Using MATLABSimscape
2 Project Overview & Understand the Problem Statement
3 Build Your First MatlabSimulinkSimScape Model
4 Simulate MatlabSimulinkSimScape Model
5 Final Capstone Project Overview
6 Final Capstone Project Solution Part 1
7 Final Capstone Project Solution Part 2
Day 2 Modeling & Simulation (Time Domain) in Simulink
8 Task 1. Understand the Problem Statement
9 Task 2. Draw the Free Body Diagram & Derive Mathematical Equations
10 Task 3A. Build Simulink Model (Whiteboard)!
11 Task 3B. Build Simulink Model (Simulink)!
12 Task 4. Simulate the Simulink Model
13 Final Capstone Project Overview
14 Final Capstone Project Solution Part 1
15 Final Capstone Project Solution Part 2
16 Final Capstone Project Solution Part 3
17 Final Capstone Project Solution Part 4
Day 3 Modeling Using Transfer Functions in MATLABSimulink
18 Task 1. Understand the Problem Statement
19 Task 2. Understand Laplace Transform
20 Practice Opportunity
21 Task 3. Obtain Transfer Functions for Mechanical Systems
22 Task 4. Build Transfer Function Model in Simulink
23 Task 5. Simulate the System Using Transfer Functions
24 Final Capstone Project Question
25 Final Capstone Project Solution Part 1
26 Final Capstone Project Solution Part 2
27 Final Capstone Project Solution Part 3
28 Final Capstone Project Solution Part 4
Day 4 Putting Everything Together! Time Domain, S-Domain & SimScape
29 Task 1. Project Overview & Understand the Scope
30 Task 2. Build Simulink & Simscape Models
31 Task 3. Simulate the Model Using 3 Different Strategies
32 Final Capstone Project Overview
33 Final Capstone Project Solution Part 1
34 Final Capstone Project Solution Part 2
Day 5 Artificial Intelligence & Machine Learning In MATLABSimulink
35 Task 1. Introduction to Artificial Intelligence and Machine Learning
36 Task 2. Understand the Problem Statement and Business Case
37 Task 3. Import Datasets
38 Task 4. Understand the Intuition Behind AI ANN and DL
39 Task 5. Understand AI Training Process
40 Task 6. Train a Deep Neural Network to Classify Disease
41 Task 7. Classification Models KPIs Overview
42 Task 8. Assess Trained AI Model Performance
43 Final Capstone Project Overview
44 Final Capstone Project Solution
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