DC motor are commonly used in industrial application, because of that advantages over
other types of motors. Some applications of DC motor require more advanced control …

This paper aims to develop a new fuzzy neural network by incorporating a brain emotional
learning controller (BELC) with the fuzzy inference rules. The brain has an orbitofrontal …

This paper aims to present a novel efficient scheme in order to more effectively control the
multiple input and multiple output (MIMO) uncertain nonlinear systems. A wavelet fuzzy brain …

This paper aims to propose a new type of neural network which is the self-organizing double
function-link brain emotional learning controller (SO-DFL-BELC) for multiple input multiple …

Artificial Intelligence (AI) techniques, eg expert system (ES), fuzzy logic (FL), artificial neural
network (ANN), genetic algorithm (GA), particle swarm optimization (PSO) and biologically …

In this article, a novel high-efficient control based on brain emotional learning for a brushless
doubly-fed induction machine (BDFIM) drive is proposed without requiring a detailed …

Control issue in electrical drives mainly deals with the dynamic behavior, which is based on
the deviation of variables. The deviations play a straightforward role in presenting the …

In this paper, intelligent control of a reluctance synchronous motor by an emotional
controller, considering the effect of magnetic saturation on implementation, is analyzed; the …

An induction motor (IM) with two sets of three-phase windings in stator is called a six-phase
IM (SPIM). SPIM has lower torque pulsation compared to a three-phase IM and using SPIM …

A brain emotional cerebellar model articulation controller (BECMAC) is developed, which is
a mathematical model that approximates the judgmental and emotional activity of a brain. A …