Omar Rodríguez-Abreo

TL;DR: A review of different papers, reports, and other documents using ANN for MPPT control is presented in this paper, where the algorithms are based on ANN or in a hybrid combination with FL or a metaheuristic algorithm.

TL;DR: In this paper, a self-adjusting PID controller based on a backpropagation artificial neural network is presented, where the network calculates the appropriate gains according to the desired output, that is, the dynamic response desired which is composed of the transient part and the stationary part of the step response of a system.

TL;DR: Self-tuning by means of genetic algorithms satisfactorily adjusts for the gains of a backstepping controller applied to a quadrotor and allows for the implementation of a control system that responds appropriately to errors of different magnitude.

TL;DR: In this article, a metaheuristic cuckoo search algorithm modified for motors as a parametric estimation tool is presented, where a cost function is based on the current and velocity error obtained when an input voltage step is applied to the motor.

TL;DR: In this paper, a general method for obtaining a second-order transfer function for any order stable systems via metaheuristic algorithms is presented, where the Final Value Theorem is used as a restriction to improve the velocity search.