Learn how to control a house heating system using nonlinear model predictive control (MPC) with a data-driven prediction model. In this control problem, try to minimize energy costs while maintaining the house temperature within a certain temperature range by utilizing MPC’s preview and constraint handling capabilities. You will learn how you can train a neural state-space prediction model just in a few lines of code and then use the trained model as the internal prediction model in the nonlinear MPC controller.

- Access the example used in this video here: [ Ссылка ]

Related Resources:
- Trajectory Optimization and Control of Flying Robot Using Nonlinear MPC: [ Ссылка ]
- Model Predictive Control Tech Talks: [ Ссылка ]
- Model Predictive Control Toolbox: [ Ссылка ]
- Deep Learning Toolbox: [ Ссылка ]

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