Adaptive predictive control is a control strategy that combines model predictive control (MPC) with online system identification to adapt to changing process dynamics. It uses a predictive model to calculate future control actions by minimizing a cost function over a control horizon, while also continuously updating the model based on real-time data to account for uncertainties or changes in the system. This approach allows it to maintain performance in applications where system parameters are not constant, such as with nonlinear processes, variable dead times, or changing operating conditions.
- Enseignant: HAKIM AIT SAID