This article considers a robust intelligent control problem for a class of power-electronic
converters via a neuro-fuzzy learning mechanism. First, a terminal sliding-mode control …

This paper is concerned with the problems of dynamic practical-sliding-mode control (SMC)
and estimation of unknown functions for singular Markovian jump systems (MJSs) with …

This paper investigates the problem of accurate voltage tracking control for direct current-
direct current (DC-DC) boost converter under unknown system parameters and load. Firstly …

In high-power electronic industrial systems, constant power loads (CPLs) can affect the
system performance or even cause instability due to its inherent negative impedance …

A grid-tied fuel cell (FC) system demands efficient power conversion, power quality
preservation, grid stability, power flow management, renewable energy source (RES) …

This article deals with the problem of sliding-mode variable-structure control (VSC) under
dynamic event-triggered communication, for hidden Markov jump systems over sensor …

In this paper, a passivity-based control (PBC) scheme for output voltage regulation in a fuel-
cell/boost converter system is designed and validated through real-time numerical results …

This article concentrates on the neural network (NN)-based adaptive sliding-mode control
(SMC) for fuzzy fractional-order system (FOS),. First of all, a novel method of optimal SMC …

Aiming to reduce the influence of system model parameter uncertainties for the DC‐DC buck
converter control system with high performance requirement, a reduced‐order extended …

The forces of drag, tire and road surface friction resistance, the drive motor characteristics,
the hill climbing angle, and other non-linear dynamic factors affect the performance of …