Control strategies on path tracking for autonomous vehicle: State of the art and future challenges

Q Yao, Y Tian, Q Wang, S Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Autonomous vehicle technology aims to improve driving safety, driving comfort, and its
economy, as well as reduce traffic accident rate. As the basic part of autonomous vehicle …

Extended state observer-based adaptive prescribed performance control for a class of nonlinear systems with full-state constraints and uncertainties

Z Xu, N **e, H Shen, X Hu, Q Liu - Nonlinear Dynamics, 2021 - Springer
In this paper, an extended state observer-based adaptive prescribed performance control
technique is proposed for a class of nonlinear systems with full-state constraints and …

Nonlinear output feedback finite-time control for vehicle active suspension systems

H Pan, W Sun - IEEE Transactions on Industrial Informatics, 2018 - ieeexplore.ieee.org
In this paper, an output feedback finite-time control method is investigated for stabilizing the
perturbed vehicle active suspension system to improve the suspension performance. Since …

Trajectory planning and tracking strategy applied to an unmanned ground vehicle in the presence of obstacles

X Zhou, X Yu, Y Zhang, Y Luo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In a dynamic environment, moving to the destination safely and effectively is of paramount
importance for an unmanned ground vehicle (UGV). This article presents a strategy of …

Velocity-tracking control based on refined disturbance observer for gimbal servo system with multiple disturbances

Y Cui, J Qiao, Y Zhu, X Yu, L Guo - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Multiple disturbances are the main constraints that hinder the high-performance velocity
tracking of the gimbal servo system in control moment gyro. This article presents a non …

Nonlinear stiffness and dynamical response characteristics of an asymmetric X-shaped structure

Y Wang, X **g - Mechanical Systems and Signal Processing, 2019 - Elsevier
Nonlinearity is more and more shown to be very beneficial to various engineering practice,
including vibration control, vibration energy harvesting and structural health monitoring, etc …

A bioinspired dynamics-based adaptive tracking control for nonlinear suspension systems

H Pan, X **g, W Sun, H Gao - IEEE transactions on control …, 2017 - ieeexplore.ieee.org
This paper investigates the energy-efficiency design of adaptive control for active
suspension systems with a bioinspired nonlinearity approach. To this aim, a bioinspired …

Improved optimal sliding mode control for a non-linear vehicle active suspension system

SA Chen, JC Wang, M Yao, YB Kim - Journal of Sound and Vibration, 2017 - Elsevier
The objective of this study is to present an improved optimal sliding mode (SM) control
method for non-linear active suspension systems to obtain both the true nominal optimal …

Finite-time synchronization of stochastic coupled neural networks subject to Markovian switching and input saturation

P Selvaraj, R Sakthivel, OM Kwon - Neural Networks, 2018 - Elsevier
This paper addresses the problem of finite-time synchronization of stochastic coupled neural
networks (SCNNs) subject to Markovian switching, mixed time delay, and actuator …

A bioinspired dynamics-based adaptive fuzzy SMC method for half-car active suspension systems with input dead zones and saturations

M Zhang, X **g - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
Active suspension systems are widely used in vehicles to improve ride comfort and handling
performance. However, existing control strategies may be limited by various factors …