In this article, an emotional intelligent terminal sliding mode controller (EITSMC) is exploited.
First, the dynamic model of a second-order nonlinear system considering unknown external …

This paper proposes the use of backstepping technique to address the stabilization problem
of a dc-dc boost converter characterized by non-minimum phase property. The backstepping …

Aiming at the unknown uncertainty of an active power filter system in practical operation,
combining the advantages of self-feedback structure, interval type-2 fuzzy neural network …

This study is concerned with the composite anti-disturbance issue for nonlinear systems
subject to state saturation and parameter uncertainties, including the unknown harmonic …

Featured Application Provide a robust-control design technique for pulse-width-modulated
power converters in continuous conduction mode using low-cost analog circuits. Abstract In …

In this study, two fractional-based stochastic gradient (FSG) algorithms for time-delayed auto-
regressive exogenous (ARX) models are proposed. By combining momentum and adaptive …

In this article, a novel structure of actor-critic learning based on an interval type-2 Takagi-
Sugeno-Kang fuzzy neural network (AC-IT2-TSK-FNN) is proposed. The proposed structure …

This paper proposes an extreme learning machine (ELM)-based adaptive sliding mode
control strategy for the receiver-side buck converter system in the wireless power transfer …

In this study, a sampled-data fuzzy fault estimation observer design problem is considered
for nonlinear systems. The main idea of this study is to solve the sampled-data output …

DC–DC buck converters have become prominent components for energy optimization in
power systems, and how to improve control performances is a challenging issue to be …