In this paper, the interconnected dc distribution system is represented as a class of
interconnected, nonlinear discrete-time systems with unknown dynamics. The dc distribution …

This article presents a unique design method for an adaptive neural network based
backstepping-like control (ANNBC) scheme. The technique is employed for synthesizing the …

Interconnected dc grids are studied in this paper, which comprise resistive and constant-
power loads (CPLs) fed by photovoltaic (PV) units. All the sources and CPLs are connected …

In this paper, the power grid with penetration of renewable energy sources is modeled as a
multigenerator interconnected power network. The power grid includes distributed energy …

A decentralized nonlinear model and controller is proposed to stabilize the interconnected
small-scale islanded dc grids in the presence of renewable energy sources with proven …

In this paper, the power system with an excitation controller is represented as a class of
large-scale, uncertain, interconnected nonlinear continuous-time system in strict-feedback …

This study presents a new concept to control a distribution static compensator (DSTATCOM)
based on generalised neural network in a three‐phase power distribution system. Artificial …

This paper presents a new control method for power electronic interfaced distributed energy
resources in DC grids. The proposed control method relies on a data-driven identification …

This paper presents a suite of neural network (NN) based decentralized controller designs
for large scale power systems' generators, one is for the excitation control and the other is for …

In this paper, a novel distributed secondary cooperative control based on neural inverse
optimal control scheme is synthesized for microgrids considering island and grid-connected …