Simulink starter pack: Gateway to MATLab Modelling & Control
Simulink starter pack: Gateway to MATLab Modelling & Control
Published 7/2025
Duration: 41m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 299.40 MB
Genre: eLearning | Language: English
Published 7/2025
Duration: 41m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 299.40 MB
Genre: eLearning | Language: English
System modelling, Control, Automation, MATLab, Simulink
What you'll learn
- Learners will be able to use Simulink to build, set up, and run block-diagram models of dynamic systems, such as electrical, mechanical, and control systems.
- In the Simulink environment, learners will acquire the ability to develop and test fundamental feedback control systems, including PID controllers and open-loop
- Learners will discover how to combine Simulink models with MATLAB functions and scripts for data analysis, simulation process automation, and parameter tuning.
- Through the use of Scopes, Data Inspector, and custom plots, learners will have the capacity to visualize, understand, and document simulation outputs in order
Requirements
- No programming experience needed. Enthusiasm for experimenting with models, looking at examples, and using ideas in basic tasks.
Description
Simulink Starter Pack: Gateway to MATLAB Modelling & Controlis an introductory course designed to help you master the essentials of system modelling and simulation using Simulink. Whether you are an engineering student, educator, or industry professional, this course provides a clear, hands-on pathway to building and analyzing dynamic systems visually.
You will begin by learning to navigate the Simulink workspace and create block diagrams representing the real-world systems such as mechanical devices, electrical circuits, and control processes. Step by step, you will develop models, set parameters, and simulate system responses to different inputs and disturbances.
The course emphasizes practical skills through guided examples and exercises. You will learn to implement basic feedback control strategies, including designing and tuning PID controllers to improve system performance. By visualizing and interpreting simulation results, you will gain insights into how systems behave and how control techniques can optimize outcomes and efficiency.
By the end of the course, you will have the confidence to apply Simulink in academic projects, research, or professional tasks. No prior experience with Simulink is necessary—only a basic understanding of engineering principles and a desire to learn new skills.
Unlock the potential of simulation and control with this accessible, engaging course.
Who this course is for:
- Undergraduate or graduate students in Electrical, Mechanical, Mechatronics, or related fields who want to learn simulation and control modeling skills.
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