In this paper, we discuss the model predictive control algorithms that are tailored for
uncertain systems. Robustness notions with respect to both deterministic (or set based) and …

This paper presents a tuning method for the model predictive control (MPC) based on the
transfer function formulation, also known as generalized predictive control (GPC). The aim of …

It is commonly observed that over the lifetime of most model predictive controllers, the
achieved performance degrades over time. This effect can often be attributed to the fact that …

MOOSE2 is a MATLAB®-based toolbox for solving least-costly application-oriented input
design problems in system identification. MOOSE2 provides the spectrum of the input signal …

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 development of robust control techniques for systems with nonlinear dynamics remains
an active and fruitful area of research that continues to become increasingly important due to …

Abstract Although Model Predictive Control (MPC) has been widely accepted as a main
technology for Advanced Process Control (APC) due to its ability of operating the system …

Konfigurasi non konvensioanal kolom rectifier adalah kolom distilasi yang mana pada
bagian kolom tersebut tidak menggunakan reboiler tetapi menggunakan panas dari side …

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 …