This paper aims to provide a novel control framework for exactly regulating the output
voltage of floating interleaved boost converters (FIBCs), which have been widely employed …

This article presents a solution to the output-feedback control problem of dc–dc converters
with unknown independent output loads. The available measurements are limited to the …

The major thrust of the paper is on designing a fuzzy logic approach has been combined
with a well-known robust technique discrete sliding mode control (DSMC) to develop a new …

In this paper, a novel approach for state-space evolving type-2 neural-fuzzy identification of
multivariable dynamic systems is proposed. According to adopted methodology, conditions …

For the existing neural network (NN)-based controllers, since the training data are not
optimized using different control algorithms, their controlling performance improvements are …

This study mainly focuses on the development of a second‐order sliding mode‐based meta‐
cognitive fuzzy neural network (MCFNN) control for power quality improvement, whereby an …

This paper presents a new approach to the inventory management problem. The work
considers control design for a single product warehouse with multiple suppliers with different …

In this paper, a dynamic sliding‐mode variable‐structure control (VSC) is proposed for the
voltage tracking control for DC‐DC boost converters, combining with a type of fuzzy neural …

This article proposes a controller for dc-dc converters to achieve fast load-transient
responses. The controller is developed for both continuous conduction mode (CCM) and …

In this paper, a novel active control approach is designed for surge instability in the
compressor system using the finite-time fuzzy sliding mode scheme. The primary novelty of …