This review presents various control strategies for application systems utilizing smart
magneto-rheological fluid (MRF) and magneto-rheological elastomers (MRE). It is well …

This study designs a fuzzy double hidden layer recurrent neural network (FDHLRNN)
controller for a class of nonlinear systems using a terminal sliding-mode control (TSMC). The …

This paper presents a robust sliding-mode observer (RSMO) for state-of-charge (SOC)
estimation of a lithium-polymer battery (LiPB) in electric vehicles (EVs). A radial basis …

This paper proposes risk-informed decision-making and control methods for autonomous
vehicles (AVs) under severe driving conditions, where many vehicle interactions occur on …

In this paper, the modeling of steer-by-wire (SbW) systems is further studied, and a sliding
mode control scheme for the SbW systems with uncertain dynamics is developed. It is shown …

This paper proposes a novel adaptive terminal sliding-mode (ATSM) control scheme for a
Steer-by-Wire (SBW) vehicle. It is shown that the developed ATSM controller can drive the …

This paper presents a robust adaptive sliding mode control strategy using radial basis
function (RBF) neural network (NN) for a class of time varying system in the presence of …

The antilock braking systems are designed to maximize wheel traction by preventing the
wheels from locking during braking, while also maintaining adequate vehicle steerability; …

This paper develops a novel adaptive fuzzy sliding mode controller for the diving control of
autonomous underwater vehicle (AUV). Unlike most previous AUVs' control approaches, in …

An adaptive cerebellar-model-articulation-controller (CMAC)-based supervisory control
system is developed for uncertain nonlinear systems. This adaptive CMAC-based …