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 …
PRU Guazzelli, WC de Andrade Pereira… - … on Power Electronics, 2018 - ieeexplore.ieee.org
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 …
M Ławryńczuk - … Journal of Applied Mathematics and Computer …, 2020 - intapi.sciendo.com
Classical model predictive control (MPC) algorithms need very long horizons when the controlled process has complex dynamics. In particular, the control horizon, which …