The inherent time-varying nature of dynamics in chemical processes often limits the lifetime
performance of model-based control systems, as the plant and disturbance dynamics …

Abstract Model-based operation support technology such as Model Predictive Control
(MPC) is a proven and accepted technology for multivariable and constrained large scale …

This paper proposes a data‐driven approach for model predictive control (MPC)
performance monitoring. It explores the I/O data of the MPC system. First, to evaluate the …

Model-plant mismatch in model predictive controlled industrial processes is a phenomenon
that may lead to relevant performance losses. Research in finding a suitable procedure to …

The measures summarized in the previous sections are defined in time domain. They use
loop time series data and do not require any a priori knowledge about the loop or …

Abstract Model predictive control (MPC) is a control technique that is frequently used in the
process industry. Two advantages of model-predictive controllers is their ability to predict the …