[HTML][HTML] Polytopic LPV approaches for intelligent automotive systems: State of the art and future challenges
With more and more stringent requirements on driving comfort, safety and fuel economy,
polytopic LPV approaches have become popular in intelligent automotive control systems …
polytopic LPV approaches have become popular in intelligent automotive control systems …
Fault diagnosis of an autonomous vehicle with an improved SVM algorithm subject to unbalanced datasets
Q Shi, H Zhang - IEEE Transactions on Industrial Electronics, 2020 - ieeexplore.ieee.org
Safety is one of the key requirements for automated vehicles and fault diagnosis is an
effective technique to enhance the vehicle safety. The model-based fault diagnosis method …
effective technique to enhance the vehicle safety. The model-based fault diagnosis method …
Robust set-invariance based fuzzy output tracking control for vehicle autonomous driving under uncertain lateral forces and steering constraints
This paper is concerned with a new control method for path tracking of autonomous ground
vehicles. We exploit the fuzzy model-based control framework to deal with the time-varying …
vehicles. We exploit the fuzzy model-based control framework to deal with the time-varying …
Distributed deception attack detection in platoon-based connected vehicle systems
This article investigates the distributed sensor deception attack and estimation for a class of
platoon-based connected vehicles. In these systems, the information of each vehicle's …
platoon-based connected vehicles. In these systems, the information of each vehicle's …
An adaptive fault-tolerant EKF for vehicle state estimation with partial missing measurements
Some vehicle state information that cannot be measured by in-vehicle sensors is quite
important for the active safety control of intelligent vehicles. To obtain these key information …
important for the active safety control of intelligent vehicles. To obtain these key information …
Takagi–Sugeno fuzzy unknown input observers to estimate nonlinear dynamics of autonomous ground vehicles: Theory and real-time verification
In this article, we address the simultaneous estimation problem of the lateral speed, the
steering input, and the effective engine torque, which play a fundamental role in vehicle …
steering input, and the effective engine torque, which play a fundamental role in vehicle …
Vehicle actuator fault detection with finite-frequency specifications via Takagi-Sugeno fuzzy observers: Theory and experiments
This article presents a new nonlinear observer-based method to detect the faults of both
steering and torque actuators of autonomous ground vehicles. To this end, the nonlinear …
steering and torque actuators of autonomous ground vehicles. To this end, the nonlinear …
Unknown input observers for simultaneous estimation of vehicle dynamics and driver torque: Theoretical design and hardware experiments
This article investigates a new observer design method to estimate simultaneously both the
vehicle dynamics and the unknown driver's torque. To take into account the time-varying …
vehicle dynamics and the unknown driver's torque. To take into account the time-varying …
Takagi–Sugeno fuzzy observer design for nonlinear descriptor systems with unmeasured premise variables and unknown inputs
This article presents a new observer design framework for a class of nonlinear descriptor
systems with unknown but bounded inputs. In the presence of unmeasured nonlinearities …
systems with unknown but bounded inputs. In the presence of unmeasured nonlinearities …
Driver state detection for driver-automation shared control with fuzzy logic
This paper focuses on driver-automation shared lateral control by considering the variation
of driver state which is interfered by multiple-risk abnormal behaviours. First, four abnormal …
of driver state which is interfered by multiple-risk abnormal behaviours. First, four abnormal …