The recent industrial revolution puts competitive requirements on most manufacturing and
mechatronic processes. Some of these are economic driven, but most of them have an …

This paper proposes a theoretical framework for generalization of the well established first
order plus dead time (FOPDT) model for linear systems. The FOPDT model has been …

This work is concerned with the tuning of the parameters of Model Predictive Control (MPC)
algorithms when used for industrial tasks, ie, compensation of disturbances that affect the …

Cyber physical systems consist of heterogeneous elements with multiple dynamic features.
Consequently, multiple objectives in the optimality of the overall system may be relevant at …

This work relates to the reliable generalized predictive control issues in the case when
actuator or sensor failures take place. The experimental results that form the basis from …

The steam/water loop is a crucial part of a steam power plant. However, satisfying control
performance is difficult to obtain due to the frequent disturbance and load fluctuation. A …

Perfusion bioreactors are important tools in tissue engineering that are used for cell
cultivation. Unfortunately these types of processes are not yet fully understood in literature …

This paper proposes and validates an automatic control tuning methodology based on initial
frequency response. This approach facilitates the design of robust PID controllers for …

Conveyor belts serve as the primary mode of ore transportation in mineral processing plants.
Feeders, comprised of shorter conveyors, regulate the material flow from silos to longer …

The paper presents a novel model predictive flux control (MPFC) scheme for three-level
inverter-fed sensorless induction motor drive operated in a wide speed region, including …