Stochastic modeling for lateral control in snowplow operations.

Auteur(s)
Gabibulayev, M. Ravani, B. & Lasky, Y.A.
Jaar
Samenvatting

This paper introduces a new method for estimation of expected values and standard deviations of signals in the nonlinear lateral control system of a snowplow, including the effects of disturbances acting on the vehicle. This method is based on Fourier discrete decomposition of time-varying signals and systems using an orthonormal basis of functions. Statistical linearization of the nonlinear element is combined with Spectral Methods that allow handling of time-varying systems and transient regimes of linear time-invariant (LTI) systems. This is in contrast to traditional methods of statistical linearization where one typically analyzes only steady-state regimes of LTI systems.

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Publicatie

Bibliotheeknummer
C 31681 (In: C 31321 CD-ROM) /62 / ITRD E826442
Uitgave

In: ITS - enriching our lives : proceedings of the 9th World Congress on Intelligent Transportation Systems ITS, Chicago, Illinois, October 14-17, 2002, 13 p.

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