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.
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Supplemental Notes:
- Full Conference Proceedings available on CD-ROM.
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Corporate Authors:
1100 17th Street, NW, 12th Floor
Washington, DC United States 20036 -
Authors:
- Gabibulayev, M
- Ravani, B
- Lasky, Y A
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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