This article presents a multiobjective control scheme for a bidirectional interlinking converter
(ILC) of renewable energy based ac–dc hybrid microgrid. The prime focus of the power …

Many practical applications built around adaptive algorithms require solutions that work at
low signal-to-noise ratio (SNR) values. In this situation, a variable step-size algorithm is a …

The distributed adaptive filtering algorithms applied in the error-in-variables (EIV) model
consider that both input and output signals suffer from noise disturbance for practical …

The minimum error entropy (MEE) criterion is widely used in distributed estimation, since it is
insensitive to many types of non-Gaussian noises. However, the default Gaussian kernel …

The diffusion augmented complex-valued LMS (DACLMS) algorithm was proposed for
distributed estimation over networks to deal with noncircular signals. This paper develops an …

While a lot of research has focused on diffusion-based algorithms for distributed estimation
over adaptive networks, incremental algorithms have not been studied to that extent. Here …

To address the shortcomings of the widely-linear complex-valued distributed adaptive
filtering algorithm that cannot combine convergence speed and steady-state performance …

This work proposes a variable step-size strategy for estimation over distributed networks
using the incremental scheme. The proposed algorithm employs the ratio of filtered squared …

Estimation in a cooperative and distributed manner in wireless sensor networks (WSNs) has
considered much attention in recent years. When this distributed estimation is performed …

Communication systems are affected by channel distortions. Impulsive noise is one of the
significant factors for channel impairments. The standard additive white Gaussian noise …