Ensuring the Reliability of Virtual Sensors Based on Artificial Intelligence within Vehicle Dynamics Control Systems

Ensuring the Reliability of Virtual Sensors Based on Artificial Intelligence within Vehicle Dynamics Control Systems

The use of virtual sensors in vehicles represents a cost-effective alternative to the installation of physical hardware. In addition to physical models resulting from theoretical modeling, artificial intelligence and machine learning approaches are increasingly used, which incorporate experimental m...

Full description

Bibliographic Details
Main Authors: Schramm, D. (Author), Sieberg, P.M (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
artificial intelligence
artificial neural network
control systems
Cost effective
Cost effectiveness
Dynamics
Experimental modelling
Hybrid method
hybrid state estimation
Hybrid states estimation
Machine learning approaches
MATLAB
Neural networks
Physical modelling
reliability
Reliability
Safety engineering
State estimation
Theoretical modeling
vehicle dynamics
Vehicle dynamics control system
Vehicles
Vehicle's dynamics
Virtual sensor
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items