STOCHASTIC MODELING FOR LATERAL CONTROL IN SNOWPLOW OPERATIONS

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.

• Supplemental Notes:
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• Corporate Authors:

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• Authors:
  • Gabibulayev, M
  • Ravani, B
  • Lasky, Y A
• Conference:
  • 9th World Congress on Intelligent Transport Systems
  • Location: Chicago, Illinois
  • Date: 2002-10-14 to 2002-10-17
• Publication Date: 2002

Language

• English

Media Info

• Pagination: 13p

Subject/Index Terms

• TRT Terms: Control systems; Lateral acceleration; Linear systems; Nonlinear programming; Operations; Snowplows; Stochastic processes; Time; Time intervals
• Subject Areas: Administration and Management; Data and Information Technology; Highways; Maintenance and Preservation; Vehicles and Equipment; I62: Winter Maintenance;

Filing Info

• Accession Number: 00960335
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 29 2003 12:00AM