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The use of periodic excitation signals in identiication experiments is advocated. With periodic excitation it is possible to separate the driving signals and the disturbances , which for instance implies that the noise properties can be independently estimated. In the paper a non-parametric noise model, estimated directly from the measured data, is used in(More)
In the presented sensor fusion approach, centralized filtering of related sensor signals is used to improve and correct low price sensor measurements. From this, we compute high-quality state information as drift-free yaw rate and exact velocity (accounting for unknown tire radius and slipping wheels on 4WD vehicles). The basic tool here is a Kalman filter(More)
The idea of a virtual sensor is to extract information of parameters that cannot be measured directly, or at least would require very costly sensors, by only using available information. Virtual sensors are described for the friction between road and tire, the tire inflation pressure and wheel imbalance. There are certain in-terconnections between these(More)
  • Urban Forssell, G Le Rtek N Ik A U T O M At Ic Co N, T R O L, To Susanne, Tea
  • 1997
System identiication deals with the construction of mathematical models of dy-namical systems using measured data. Closed-loop identiication is what results when performing the identiication experiment under output feedback, that is, in closed loop. In this thesis we study a number of closed-loop identiication methods , both classical and more recently(More)