This paper reviews available tuning guidelines for model-predictive control (MPC) from
theoretical and practical perspectives. Its primary focus is on the guidelines introduced since …

A PID-based longitudinal ventilation system for smoke control in tunnel fires is numerically
illustrated to yield excellent performance. However, the three parameters in the PID …

Model predictive control (MPC) represents nowadays one of the main methods employed for
process control in industry. Its strong suits comprise a simple algorithm based on a …

Accurate longitudinal control is crucial in autonomous driving, but inherent delays and lag in
electric vehicle powertrains hinder precise control. This paper presents a two-stage design …

Abstract Data-driven Subspace Predictive Control (SPC) is an advanced model-free process
control strategy in the presence of system constraints. Efficient implementation of SPC …

Multivariable model predictive control is a widely used advanced process control
methodology, where handling delays and constraints are its key features. However …

This paper deals with the control of a laboratory gas turbine using model predictive control
(MPC). The objective is to control the speed of the gas turbine. Firstly, an empirical transfer …

Abstract Dynamic Matrix Control is a widely used Model Predictive Controller in industrial
processes. The successful implementation of Dynamic Matrix Control in practical …

This paper aims to find a practical solution to reduce oscillation on the Smith Predictor (SP)
based design with the dead time (DT) uncertainty, making it less sensitive to DT change and …

Many industrial processes can be effectively described with first-order plus fractional dead
time models. In the case of plants with a large dead time relative to the time constant …