This paper presents a state-disturbance (SD) observer-based adaptive fuzzy sliding mode
control (AFSMC) to control the ball and beam system (BBS) in the presence of matched and …

Adaptive control of nonlinear systems is a well-established domain due to its ability to
accommodate dynamic variations and uncertainty. However, one of the primary challenges …

Feedback linearization uses an effective linearizing control to make the input-output
dynamics of a nonlinear plant linear such that various linear control strategies can be …

Underactuated mechanical systems offer complex dynamic behavior and poses control
challenges, especially in the presence of uncertainties in the system. To cope with such …

Inspired by backstepping method, this paper proposes a novel adaptive stabilizing control
method for a class of uncertain underactuated nonlinear systems, which is named as …

This paper examines the controllability of a novel Lyapunov‐based model reference
adaptive control (MRAC) system designed with a meta‐learning‐based physics‐informed …

The present paper introduces an optimal hybrid adaptive robust sliding mode control based
on a combination of feedback linearization and a PD controller (ARSMC-PD) to present a …

In order to obtain double encryption via elliptic curve cryptography (ECC) and chaotic
synchronisation, this study presents a design methodology for neural-network (NN)-based …

The ball and beam (B&B) system is widely used as a laboratory equipment to study control
systems engineering since it represents one of the most easy to understand and important …

Underactuated mechanical systems offer complex dynamic behavior and poses control
challenges, especially in the presence of uncertainties in the system. To cope with such …