CORDIS Project
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This project seeks to enhance model predictive control (MPC) systems for industrial applications by developing methods that reduce data collection and calibration efforts. It aims to create adaptive control systems that can handle uncertainties in real-time.
Model predictive control (MPC) is applied with success in industry for automating constrained multivariable dynamical systems in an optimized way.
However, some crucial aspects of MPC design largely remain to be addressed to unleash the full potential of MPC in applications: the efforts required to collect experimental data, identify the prediction model, and calibrate the controller, must be reduced considerably; the controller must self-adapt seamlessly to cope with unforeseen changes and not…
SCUOLA IMT (ISTITUZIONI, MERCATI, TECNOLOGIE) ALTI STUDI DI LUCCA
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