Optimization for Model Predictive Control - Simulink Implementation Tutorial
Original Parallel Quadratic Programming Algorithm: https://merl.com/publications/docs/TR...
My Paper: https://ieeexplore.ieee.org/document/...
Hello!
In this video you will learn how to implement a Quadratic Optimization solver in Simulink without using any built in toolboxes. Optimization is an extremely important mathematical concept used within statistics, machine learning, control systems, and artificial intelligence algorithms. It is also used in all industries (finance, engineering etc.).
The background is covered in that paper I published as part of my Master's thesis. This video is the first part of my tutorial series on model predictive control (MPC). You will learn the following Simulink concepts:
1) Working with project files
2) Variant Subsystems
3) Iterator Subsystems (For / While Loops)
4) Struct objects
5) Assignment and Selector blocks
You will also get the hang of basic Optimization concepts needed for MPC such as:
1) Cost function
2) Constraints
3) Primal-Dual Procedure
Thanks for watching!
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