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Trimming, Linearization, and Model Predictive Control (MPC) Design with JuliaSim
Wednesday, November 2
10:00-11:00 AM ET

Join Dr. Fredrik Bagge Carlson and Dr. Avinash Subramanian as they demonstrate the typical workflow for a control engineer with JuliaSim. In this webinar, they will show a demo using a realistic case study of controlling a non-linear Research Civil Aircraft Model (RCAM) and present the various steps starting from building the dynamic system model using ModelingToolkit, trimming, linearization about the trim point, as well as the formulation and solution of a closed-loop linear MPC model together with the non-linear observer and plant model. Lastly, a new MPC surrogatization feature will be presented that allows for fast, optimizer-free closed-loop control by learning the control law from data. With the toolkit, linear MPC problems can be solved at 4000 Hz, nonlinear MPC problems at 1000 Hz, and surrogatized MPC problem at 1,000,000 Hz.

JuliaSim is a next-generation simulation platform from JuliaHub that combines the latest Scientific Machine Learning (SciML) techniques with equation-based digital twin modeling and simulation. This introductory webinar is open to anyone familiar with the language of Model Predictive Control (MPC) and related fields.


About the Presenters
Dr. Fredrik Bagge Carlson is the lead of the JuliaSim Control-systems team at JuliaHub. He holds a PhD in Automatic Control from Lund University.

Dr. Avinash Subramanian holds a PhD from NTNU in Norway, and was previously a graduate researcher at the Process Systems Engineering Laboratory at MIT.

Nov 2, 2022 10:00 AM in Eastern Time (US and Canada)

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