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To explore the difference between the turning and straight conditions of steering, a numerical sand model for steering is designed and appropriately established by the discrete element method on the basis of triaxial tests.
As stated in [27, 28], this Gaussian random model for steering vector is general because it can address the uncertainties due to many reasons, including DOA pointing error, array calibration error, scattering around the source, propagation through an inhomogeneous medium, and other systematic problems.
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Fig. 4 Three-dimensional model of fuzzy logic for steering a data rate.
Wheel deflections are for steering.
It is meant for steering the car.
Their slender tails act as rudders for steering.
Both tracks and wheels were used for steering.
In this paper, we proposed a slip model for skid-steering tracked vehicles on loose and weak slopes.
Therefore, based on the structure and work process of RSSTSP, this work develops mechanical and mathematical models for the steering force and pad force.
In this paper, it has been shown that the steering behaviour observed in repeated critical scenarios to a large extentpreserves the characteristics of the steering behaviour found in an unexpected critical scenario, making it possible to usedata from repeated scenarios in, for example, driver modelling for evasive steering.
Unlike DOA, random modeling for the steering vector can address not only the uncertainties due to pointing error but also the uncertainties due to scattering around the source, miscalibration, array deformation, different gain, and phase responses of sensors in the array, etc.
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