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How to design nonlinear MPC with deep learning prediction model
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https://www.youtube.com/watch?v=q93jlLNwrVU&t=6s Learn how to design, simulate, and implement a nonlinear model predictive controller that uses neural networks for prediction. The prediction model is a neural state space system, where state function is a neural ODE model trained from experiment data. Download the code used in this video: https://bit.ly/3MUYJJV The video shows the entire workflow using System Identification Toolbox™ and Model Predictive Control Toolbox™. Learn more: - System Identification Toolbox: https://bit.ly/3AbgE7W - Model Predictive Control Toolbox: https://bit.ly/3ULdm30 -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2022 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders. https://www.youtube.com/watch?v=q93jlLNwrVU&t=6s
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