This article gives an overview of the artificial intelligence (AI) applications for power
electronic systems. The three distinctive life-cycle phases, design, control, and maintenance …

Conventional maximum power point tracking (MPPT) algorithms fails to track peak power
from a solar photovoltaic panel (SPV) effectively under rapidly changing atmospheric and …

In order to achieve maximum efficiency a photovoltaic (PV) arrays should operate at their
maximum power point (MPP). Therefore, an MPP tracking (MPPT) scheme is implemented …

Evolutionary computation (EC) is a kind of optimization methodology inspired by the
mechanisms of biological evolution and behaviors of living organisms. In the literature, the …

Maximizing the lifetime of wireless sensor networks (WSNs) is a challenging problem.
Although some methods exist to address the problem in homogeneous WSNs, research on …

The aircraft arrival sequencing and scheduling (ASS) problem is a salient problem in air
traffic control (ATC), which proves to be nondeterministic polynomial (NP) hard. This paper …

The reliability assessment of smart grid-integrated distributed power-generating
coordination is an operational measure to ensure appropriate system operational set-ups in …

Machine learning (ML) has become a prevalent approach to tame the complexity of design
space exploration for domain-specific architectures. While appealing, using ML for design …

This book provides a detailed analysis of all aspects of capacitive DC-DC converter design:
topology selection, control loop design and noise mitigation. Readers will benefit from the …

Natural systems are a source of inspiration for computer algorithms designed to solve
optimisation problems. Yet most 'nature-inspired'algorithms take only superficial inspiration …