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[HTML][HTML] Advanced estimation techniques for vehicle system dynamic state: A survey
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 …
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
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 …
computational fluid dynamics for control is presented. Since the ROV is highly nonlinear and …
Combined Path Following and Direct Yaw-Moment Control for Unmanned Electric Vehicles Based on Event-Triggered T–S Fuzzy Method
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 …
(DYC) problem of unmanned electric vehicles (UEVs) based on an event-triggered Takagi …
Combined estimation of vehicle dynamic state and inertial parameter for electric vehicles based on dual central difference Kalman filter method
Distributed drive electric vehicles (DDEVs) possess great advantages in the viewpoint of fuel
consumption, environment protection and traffic mobility. Whereas the effects of inertial …
consumption, environment protection and traffic mobility. Whereas the effects of inertial …
Generic evolving self-organizing neuro-fuzzy control of bio-inspired unmanned aerial vehicles
In recent times, with the incremental demand for fully autonomous systems, research
interests are observed in learning machine-based intelligent, self-organizing, and evolving …
interests are observed in learning machine-based intelligent, self-organizing, and evolving …
Neural network-based model reference control of braking electric vehicles
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 …
ensures high quality blended deceleration using electrical and friction brakes. A model …
Hardware-in-the-loop test of an open-loop fuzzy control method for decoupled electrohydraulic antilock braking system
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 …
system control method for four on-board motor drive electric sport utility vehicle, a hardware …
PSO-self-organizing interval type-2 fuzzy neural network for antilock braking systems
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 …
function of ABS is to optimize the maximize wheel traction by preventing wheel lockup …
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 …
(ASS) are designed separately to enhance the braking safety and ride comfort respectively …
Adaptive neural-network sliding mode cascade architecture of longitudinal tracking control for unmanned vehicles
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 …
routine tasks for industry, conducting military missions and improving traffic safety. However …