The cement kiln is one of the major energy-intense processes that need efficient controllers
to minimise fuel consumption, enhance clinker production, and improve cement quality. A …

Multi-objective optimization has been adopted in many engineering problems where a set of
requirements must be met to generate successful applications. Among them, there are the …

This study investigates the application of a multiobjective genetic algorithm for the obtaining
of a set of weighting factors suitable for use in the model predictive torque control (MPTC) of …

In the recent years, the use of model predictive control in electrical drives has been widely
reported both theoretically and experimentally. Predictive torque control has been …

This study presents two proposed adaptive and intelligent control schemes for accurately
adjusting the MG voltage and frequency in islanded mode and ensuring the seamless …

This paper presents the results of a model-based predictive control (MPC) design for a
quadrotor aerial vehicle with a suspended load. Unlike previous works, the controller takes …

This paper proposes a harmony search (HS) based H-infinity (H∞) control method to
promote the conventional droop control method. The proposed method is used to enhance …

The tuning of weighting factor has been considered as the most challenging task in the
implementation of multi-objective model predictive control (MPC) techniques. Thus, this …

Abstract In Dynamic Matrix Control (DMC) algorithm, the control signal is computed optimally
based on the process model. In effect, the DMC algorithm allows for obtaining a better …

Classical model predictive control (MPC) algorithms need very long horizons when the
controlled process has complex dynamics. In particular, the control horizon, which …