Renewable powered dc microgrid is more cost-effective, simple, reliable, highly efficient,
and scalable than the traditional electric grid. This paper provides an overview of high gain …

This paper proposes a novel artificial neural network (ANN) based control method for a
dc/dc buck converter. The ANN is trained to implement optimal control based on …

Distributed generators have been widely used in modern power systems, and microgrids are
becoming a key concept for the integration of multiple distributed generators and clusters of …

In this paper, a Takagi-Sugeno-Kang (TSK)-type-based self-evolving compensatory interval
type-2 fuzzy neural network (FNN)(TSCIT2FNN) is proposed for system modeling and noise …

This paper introduces a complete design method to construct an adaptive fuzzy logic
controller (AFLC) for DC–DC converter. In a conventional fuzzy logic controller (FLC) …

A DSP-based probabilistic fuzzy neural network (PFNN) controller to control a two-stage ac-
dc charger is pro-posed in this study. The charger is composed of an ac-dc boost converter …

Driver fatigue monitoring is very important for driving safety, and many intricate factors while
driving make fatigue monitoring harder. To effectively predict driving fatigue, this article …

Fractional order controllers are nowadays used in various power electronic converters as it
is giving superior control performance compared with conventional PID controllers. This …

For indoor smart grids, the proper operation of building environmental systems is essential
to energy efficiency, so automatic detection and classification of abnormal conditions are …

This study mainly focuses on the development of an adaptive fuzzy-neural-network control
(AFNNC) system for a single-stage boost inverter. First, the dynamic model of a single-stage …