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Set-membership LPV model identification of vehicle lateral dynamics

机译:车辆横向动力学的集合成员LpV模型识别

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摘要

Set-membership identification of a Linear Parameter Varying (LPV) model describing the vehicle lateral dynamics is addressed in the paper. The model structure, chosen as much as possible on the ground of physical insights into the vehicle lateral behavior, consists of two single-input single-output {LPV} models relating the steering angle to the yaw rate and to the sideslip angle. A set of experimental data obtained by performing a large number of maneuvers is used to identify the vehicle lateral dynamics model. Prior information on the error bounds on the output and the time-varying parameter measurements are taken into account. Comparison with other vehicle lateral dynamics models is discussed.
机译:本文讨论了描述车辆横向动力学的线性参数变化(LPV)模型的集合成员身份识别。该模型结构是基于对车辆横向行为的物理洞察力而尽可能选择的,它由两个将转向角与偏航角速度和侧滑角相关的单输入单输出{LPV}模型组成。通过执行大量操作获得的一组实验数据可用于识别车辆横向动力学模型。考虑了有关输出误差范围和时变参数测量的先验信息。讨论了与其他车辆横向动力学模型的比较。

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