What is it about?
It is proposed a robust MPC controller which stems from the idea of adding robustness in the prediction phase of the algorithm while leaving the core of MPC untouched. The strength of the algorithm is its simplicity and the low computational burden.
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Why is it important?
Model predictive control (MPC) represents nowadays one of the main methods employed for process control in industry.
Perspectives
The simplicity of the algorithm will allow to implement the algorithm very rapidly in industrial applications. Furthermore, the computational burden is very limited.
Mattia Zorzi
University of Padova
Read the Original
This page is a summary of: On the coupling of Model Predictive Control and Robust Kalman Filtering , IET Control Theory and Applications, April 2018, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-cta.2017.1074.
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