Control under uncertainty is one of the main focuses of modern control theory research. The
idea of sliding mode and higher-order sliding-mode control (SMC/HOSMC) is to drive the …

This paper presents a novel robust fuzzy adaptive integral sliding mode controller designed
via a multi-objective grey wolf optimization algorithm for a nonlinear uncertain chaotic …

Abstract Sliding Mode Control is one type of robust control, but the classical method often
requires prior knowledge of the uncertainties. This study presents a new adaptive sliding …

The control of nonlinear chaotic systems with uncertainties is a challenging problem that has
attracted the attention of researchers in recent years. In this paper, we propose a robust …

To solve the trajectory tracking problem of insufficient response and the large tracking error
of remotely operated vehicles (ROVs) under the interference of large ocean currents, this …

Introduction. Nowadays, power quality issues are of considerable interest to both utilities
and end users as they cause significant financial losses to the industrial customers. Due to …

This paper focuses on the fixed-time leader–follower formation control of multiple
underwater vehicles (MUVs) in the presence of external disturbances. First, an adaptive …

This study proposes a universal adaptive control algorithm for an unknown multi-input multi-
output (MIMO) system using recursive least squares (RLS) and parameter self-tuning. The …

This paper presents the development of a continuous-time robust adaptive sliding mode
controller using the model reference adaptive control philosophy. The stability analysis of …

Control under uncertainty is one of the main topics of the modern control theory. The idea of
sliding mode and second order sliding mode control (SMC/2-SMC) is to drive the system …