Download Udemy – Model Based Design: Build Embedded Systems with Simulink 2023-12

Download Udemy - Model Based Design: Build Embedded Systems with Simulink 2023-12

Description

Model Based Design course: Build Embedded Systems with Simulink. Model-Based Design Course: Building Embedded Systems with Simulink. Model-Based Design: Be the MBD Engineer. We dive into the world of model-driven design and embedded systems, exploring the entire software development lifecycle. Start the process by understanding the requirements, converting them into models, generating code from the models, integrating the codes, and deploying to hardware. During this course, we systematically guide you in creating embedded systems projects and harnessing the power of the model-based approach with Simulink. You will gain expertise in building appropriate models for code generation, seamlessly deploying this code to microcontrollers, and performing real-world hardware testing. In addition, we provide you with a comprehensive introduction to the essential Simulink blocks that are often used in embedded software projects in industries such as automotive. In addition, he will learn common design concepts in the industry such as counter implementation, debouncing algorithm and other topics. Learn how to connect different sensors, design models to use their data and control different actuators. This course builds your knowledge step-by-step and prepares you to start your journey as a model-based design engineer in industries such as automotive, aerospace and robotics by building real-world embedded systems projects from prototypes to design. Start with more complex ones. This course teaches you how to manage the following sensors and actuators using model-based design techniques:

  • Model, generate C/C++ code and deploy to MC Target
  • Digital inputs and outputs (buttons and LEDs)
  • Analog signals (potentiometer)
  • Combine digital and analog signals into a control algorithm to control motor speed
  • LDR
  • Ultrasonic sensor
  • Infrared obstacle avoidance sensor
  • Rotary Encoder
  • Simulink support package for Arduino

In each lesson we learn a new design technique and introduce you to multiple ways to create the same functionality to enhance your modeling and deployment skills.

What you will learn in Model Based Design: Build Embedded Systems with Simulink course

  • Understand the concept of model-driven design

  • Navigate through the Simulink environment

  • Simulink model configuration for code generation

  • Integrate handwritten code with code generated from Simulink

  • Deployment of the code on the microcontroller

  • Test code on real hardware

  • Requirements analysis

  • Interface sensors and actuators with microcontroller

  • Create algorithms for different sensors using Simulink

  • How to read and write digital signals

  • Read analog signals

  • Distance measurement using an ultrasonic sensor

  • Use of LDR (Photoresistor)

  • Algorithm development for rotary encoder

  • Infrared sensor algorithm

  • DC motor control using digital and analog signals

This course is suitable for people who

  • Anyone interested in developing a complete embedded systems project using a model-based design approach.
  • Undergraduate and graduate students seeking model-based development engineering positions

Course specifications Model Based Design: Build Embedded Systems with Simulink

  • Publisher: Udemy
  • teacher: Mahmoud Zidane
  • Training level: beginner to advanced
  • Training duration: 3 hours and 1 minute
  • Number of courses: 22

Course topics Model Based Design: Build Embedded Systems with Simulink on 12/2023

Model Based Design: Build Embedded Systems with Simulink course prerequisites

  • Basic Knowledge of Embedded Systems, Simulink is preferred but not necessary

Course images

Model Based Design: Build Embedded Systems with Simulink

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

Subtitle: None

Quality: 1080p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 389 MB

File(s) password: www.downloadly.ir

Size

2.3 GB

Be the first to comment

Leave a Reply

Your email address will not be published.


*