Capabilities for Modeling Dynamic Systems and Designing Feedback Control Systems in MATLAB and Simulink
In today's post, I want to share a few links. I shared those with individual users recently, and every time the response I get is "Wow, those are super useful, I wish I knew about them earlier"
The following resources will give you an overview of everything available to model and control systems in MATLAB and Simulink, so you can pick the right tool for your needs.
Capabilities for Modeling Dynamic Systems
This first page is about modeling dynamic systems. It contains a high-resolution poster covering all the possible ways to model dynamic systems in MATLAB and Simulink.
For each section of the poster, the page includes links to discovery pages and relevant documentation.
We have used many of those techniques on this blog in the past, here are a few examples where we modeled and simulated dynamic systems:
- Watering my Plants with Simscape Fluids
- Simulating The 2016 Baseball Season
- The Martian – Part 2 – Simulating the Spacecraft Trajectory
- Simuflate: A time-based simulation of the Patriots’ footballs
- Estimating Continuous-Time Transfer Functions with System Identification Toolbox
- slLinearizer: Batch Linearization of Simulink Models
- Plant Identification Using the PID Tuner (Part Deux)
- The Simulink Curling Simulator… we did it!
- From Symbolic to Simulink
- Model-Based Design of a Dicycle
If you're more into videos, the author of the poster, Brian Douglas, also made a video version available on youtube.
Capabilities for Designing Feedback Control Systems
This second page uses a similar framework, but covering the capabilities for designing feedback control systems.
It also comes with a series of almost 100 videos covering everything you need to know about control systems
Now it's your turn
What is your favorite resource for discovering the capabilities for modeling and controller design in MATLAB and Simulink? Let us know in the comments below.
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