This 3-hour hands-on workshop at IDETC-CIE 2025 consists of three exercises:

1. Model predictive control of a cart-pole system
2. Reinforcement learning for a cart-pole system
3. (Bonus) Nonlinear model predictive control of an office heating system with a neural state-space prediction model

The files in this branch are made to work with MATLAB R2025a.

Required toolboxes:

• MATLAB
• Simulink
• Simscape
• Simscape Multibody
• Control System Toolbox
• Simulink Control Design
• Model Predictive Control Toolbox
• Deep Learning Toolbox
• Reinforcement Learning Toolbox
• System Identification Toolbox (for the bonus exercise)
• Optimization Toolbox (for the bonus exercise)