High precision demands in a large number of emerging robotic applications strengthened
the role of the modern control laws in the position control of the Permanent Magnet …

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 …

Abstract Design an optimized iterative learning control for linear and nonlinear dynamical
systems is a challenging task. Norm-optimal iterative learning control (NOILC) is a valuable …

Traditional and typical iterative learning control algorithm shows that the convergence rate of
error is very low for a class of regular linear systems. A fast iterative learning control …

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 monotonic convergence of the PD α-type fractional-order iterative learning control
algorithm is considered for a class of fractional-order linear systems. First, a theoretical …

An iterative learning robust fault‐tolerant control algorithm is proposed for a class of
uncertain discrete systems with repeated action with nonlinear and actuator faults. First, by …

Cardiac diseases constitute a major root of global mortality and they are likely to persist.
Electrocardiogram (ECG) is widely opted in clinics to detect countless heart illnesses …

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 …