自适应滤波器预测车辆侧滑角未来值的性能

2018 16th Biennial Baltic Electronics Conference (BEC) Pub Date : 2018-10-01 DOI:10.1109/BEC.2018.8600993

R. Shavelis, K. Ozols, M. Greitans, Vitālijs Feščenko

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引用次数: 0

摘要

本文研究了传统的自适应有限脉冲响应滤波器和前馈多层神经网络预测车辆未来滑移角的性能。根据预测误差和执行算法所需的操作数来比较依赖于许多输入和预测范围的获得的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Performance of Adaptive Filters for Predicting the Future Values of the Vehicle Sideslip Angle

In this paper a performance of conventional adaptive finite impulse response filters and a feed forward multi-layer neural network is examined for predicting the future values of the slip angle of a vehicle. The obtained results depending on a number of inputs and a prediction horizon are compared in terms of prediction error and a required number of operations for executing the algorithms.

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2018 16th Biennial Baltic Electronics Conference (BEC)

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