This paper deals with the application of stochastic state estimators in vehicle dynamics control. It is often unrealistic to assume that all vehicle states and the disturbances acting on it can be measured. System states that cannot be measured directly, can be estimated by a Kalman Filter. The idea of the Kalman filter is to implement a model of the real system in an on-board computer in parallel with the system itself. This paper will give 3 examples of this principle applied to automotive systems.
Vehicle Dynamics Estimation Using Kalman Filters
Vehicle System Dynamics ; 32 , 2-3 ; 171-184
1999-08-01
14 pages
Article (Journal)
Electronic Resource
Unknown
Vehicle dynamics estimation using Kalman filters
Tema Archive | 1999
|Vehicle Dynamics Estimation Using Kalman Filters
British Library Conference Proceedings | 1998
|Vehicle Dynamics Estimation Using Kalman Filters
British Library Conference Proceedings | 1999
|Vehicle dynamics estimation using Kalman filters
Automotive engineering | 1999
|Vehicle dynamics estimation using Kalman filters
Tema Archive | 1998
|