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Linear Parameter-Varying System Identification: The Subspace Approach

机译:线性参数变化系统识别:子空间方法

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摘要

In the past two decades, a significant amount of research has been carried out on Linear Parameter-Varying (LPV) systems. It has been shown that LTI control synthesis techniques like optimal and robust control can be extended to the LPV case. Notwithstanding the advances in LPV control, the identification of such systems is still not completely developed. The scope of this paper is to present the problem of LPV system identification. Recent results on subspace identification of LPV systems are presented and applied to the identification of a car lateral dynamics.
机译:在过去的二十年中,已经对线性参数变化(LPV)系统进行了大量研究。已经表明,LTI控制综合技术(如最佳和鲁棒控制)可以扩展到LPV情况。尽管LPV控制已取得进步,但这种系统的识别仍未完全发展。本文的范围是提出LPV系统识别的问题。介绍了有关LPV系统子空间识别的最新结果,并将其应用于汽车横向动力学的识别。

著录项

  • 来源
  • 会议地点 Linz(AT)
  • 作者单位

    Delft Center for Systems and Control (DCSC), Delft University of Technology, Mekelweg 2, 2628 CD, Delft, The Netherlands;

    Delft Center for Systems and Control (DCSC), Delft University of Technology, Mekelweg 2, 2628 CD, Delft, The Netherlands;

    Delft Center for Systems and Control (DCSC), Delft University of Technology, Mekelweg 2, 2628 CD, Delft, The Netherlands;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 汽车工程;
  • 关键词

  • 入库时间 2022-08-26 14:23:28

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