Observing present scarcity of fossil fuel and emissions of greenhouse gases, electricity
generated from Renewable Energy (RE) sources turns out to be the best alternative for …

Memristor synapse with activated synaptic plasticity can be taken as an adaptive connection
synaptic weight. To demonstrate its kinetic effects, in this article, we present an improved …

It has been documented that a cyclic three-neuron-based neural network with resistive
synaptic weights cannot exhibit chaos. Towards this end, a memristive cyclic three-neuron …

This paper presents a novel heuristic based recurrent Hopfield neural network (HNN)
designed self-adaptive proportional-integral-derivative (PID) controller for automatic load …

Neural networks with changeable synaptic weights usually exhibit more complex and
diverse dynamics than those with fixed synaptic weights. It was proved that the tri-neuron …

Selective harmonic elimination pulse width modulation (SHEPWM) is a well-known
switching technique applied directly to the output voltage waveform of multilevel inverters …

This study presents selective harmonic elimination pulse width modulation technique‐based
hybrid asynchronous PSO‐Newton‐Raphson (APSO‐NR) algorithm for the elimination of …

Pulse width modulation (PWM) control for power converters have been vastly investigated
and used in many industrial application. For medium voltage and high power applications …

With the increased usage of power electronics at the source and load ends of modern power
systems, power quality issues like harmonic control and total harmonic distortion (THD) …

This letter presents a novel middle-level selective harmonic elimination-pulse-amplitude
modulation (SHE-PAM) method to calculate switching angles and to synthesize reference …