This work presents a distributed generation system (DG) that combines system of a wind
turbine (WT) and photovoltaic (PV) using a unified power quality conditioner (UPQC). Along …

In order to solve the problem that the parameters of traditional proportional–integral (PI)
control are not easy to adjust, an iterative learning control (ILC) technique for a DC/DC …

This paper presents a comprehensive study that includes the sizing and power flow by
series and parallel inverters in a distributed generation system (DGs) that integrates the …

The non-linearity in medical image processing is a critical issue. Because the privacy of the
medical image and loss of data is a major concern in recent years. Federated learning is a …

The losses in the radial distribution system are inevitable which needs to be minimized for
the proper transmission of power to the end customers. This problem can be solved by the …

Model predictive control (MPC) is a powerful tool for the control of permanent magnet
synchronous motors. However, conventional MPC permits using a single voltage vector …

For a class of linear discrete time invariant stochastic switched systems with repetitive
operation characteristics, a novel P‐type accelerated iterative learning control algorithm with …

The actual multimodal process data usually exhibit non-linear time correlation and non-
Gaussian distribution accompanied by new modes. Existing fault diagnosis methods have …

Due to attractive features, including high efficiency, low device stress, and ability to boost
voltage, a Vienna rectifier is commonly employed as a battery charger in an electric vehicle …

Precise industrial control technology is constantly in need of accurate and strong control.
Error convergence for a typical linear system is very minimal when using a conventional …