The adaptive neural network (NN) output-feedback optimal control issue has been
investigated for a quarter-car active electric suspension systems, where the suspension …

This study investigates adaptive neural network (NN) state feedback control and robust
observation for an active suspension system that considers parametric uncertainties, road …

Quantization has been an important research area for a long time for networked control
systems. This paper addresses the problem of a reset state observer (RSO)-based control …

Advanced fault-tolerant control schemes are required for ensuring efficient and reliable
operation of complex technological systems such as ground vehicles. A novel approach to …

In this paper, a complete mathematical model for a half-tracked vehicle with eight degrees of
freedom is established. It is difficult to control a suspension system owing to complexity of …

The adaptive neural-network (NN) output-feedback control problem is investigated for a
quarter-car active suspension system. The sprung mass and the suspension stiffness in the …

In this study, a delay‐dependent memory state‐feedback controller for linear systems with
input time‐delay in the presence of external disturbance has been investigated. At first, a …

This study aims to improve the vehicle vertical dynamics performance in the sprung and
unsprung state for in-wheel-motor-driven electric vehicles (IWMD EVs) while considering the …

This paper presents a velocity-dependent multi-objective control method to solve the
problem of preview control with velocity uncertainty. A half-car model is considered, the …

An event-triggered adaptive fuzzy optimal control strategy is proposed for a quarter-car
electromagnetic active suspension system, where the stiffness and the road input are …