Advanced estimation techniques for vehicle system dynamic state: A survey

X Jin, G Yin, N Chen - Sensors, 2019 - mdpi.com
In order to improve handling stability performance and active safety of a ground vehicle, a
large number of advanced vehicle dynamics control systems—such as the direct yaw control …

Robust genetic algorithm and fuzzy inference mechanism embedded in a sliding-mode controller for an uncertain underwater robot

CS Chin, WP Lin - IEEE/ASME transactions on mechatronics, 2018 - ieeexplore.ieee.org
The integration of inaccurate remotely operated vehicle (ROV) model data obtained by
computational fluid dynamics for control is presented. Since the ROV is highly nonlinear and …

Hardware-in-the-loop test of an open-loop fuzzy control method for decoupled electrohydraulic antilock braking system

A Aksjonov, V Ricciardi, K Augsburg… - … on Fuzzy Systems, 2020 - ieeexplore.ieee.org
To verify the functionality of an intelligent open-loop fuzzy-logic-based antilock braking
system control method for four on-board motor drive electric sport utility vehicle, a hardware …

Generic evolving self-organizing neuro-fuzzy control of bio-inspired unmanned aerial vehicles

MM Ferdaus, M Pratama, SG Anavatti… - … on Fuzzy Systems, 2019 - ieeexplore.ieee.org
In recent times, with the incremental demand for fully autonomous systems, research
interests are observed in learning machine-based intelligent, self-organizing, and evolving …

Neural network-based model reference control of braking electric vehicles

V Vodovozov, A Aksjonov, E Petlenkov, Z Raud - Energies, 2021 - mdpi.com
The problem of energy recovery in braking of an electric vehicle is solved here, which
ensures high quality blended deceleration using electrical and friction brakes. A model …

Combined Path Following and Direct Yaw-Moment Control for Unmanned Electric Vehicles Based on Event-Triggered T–S Fuzzy Method

Y Cao, Z Xie, W Li, X Wang, PK Wong… - International Journal of …, 2024 - Springer
This paper focuses on the combined path following (PF) and direct yaw-moment control
(DYC) problem of unmanned electric vehicles (UEVs) based on an event-triggered Takagi …

PSO-self-organizing interval type-2 fuzzy neural network for antilock braking systems

CM Lin, TL Le - International journal of fuzzy systems, 2017 - Springer
Nowadays, the antilock braking system (ABS) is the standard in all modern cars. The
function of ABS is to optimize the maximize wheel traction by preventing wheel lockup …

Adaptive neural-network sliding mode cascade architecture of longitudinal tracking control for unmanned vehicles

J Guo, Y Luo, K Li - Nonlinear Dynamics, 2017 - Springer
Unmanned vehicles have drawn wide attention due to their intrinsic capacity of performing
routine tasks for industry, conducting military missions and improving traffic safety. However …

Combined estimation of vehicle dynamic state and inertial parameter for electric vehicles based on dual central difference Kalman filter method

X Jin, J Yang, L Xu, C Wei, Z Wang, G Yin - Chinese Journal of Mechanical …, 2023 - Springer
Distributed drive electric vehicles (DDEVs) possess great advantages in the viewpoint of fuel
consumption, environment protection and traffic mobility. Whereas the effects of inertial …

Comfort braking control for brake-by-wire vehicles

J Zhang, W Sun, Z Liu, M Zeng - Mechanical Systems and Signal …, 2019 - Elsevier
For conventional fuel vehicles, anti-lock braking system (ABS) and active suspension system
(ASS) are designed separately to enhance the braking safety and ride comfort respectively …