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Adaptive switching control based on limited multiple models

机译:基于有限多模型的自适应交换控制

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摘要

In this paper, the limited multiple models system identification scheme with third-level adaptation is proposed to build the virtual identification model for the control of the closed-loop system. First, the dynamical switching identification models subbank is constructed based on the performance index. Next, the virtual identification model is build through the combination of the identification models in the dynamical switching subbank. Then, the combination proportion of the models is adaptively tuning with the third-level adaptation. The main contribution of this paper is that the proposed dynamical system identification method can overcome system resources waste of the multiple models switching with second-level adaptation, and it does not require that all of the identification models combine directly. Finally, the simulation is provided to illustrate its effectiveness.
机译:在本文中,提出了具有第三级适应的有限多模型系统识别方案,以构建用于控制闭环系统的虚拟识别模型。首先,基于性能索引构建动态切换识别模型子机库。接下来,虚拟识别模型通过动态切换子手册中的识别模型的组合来构建。然后,模型的组合比例与第三级调整自适应调谐。本文的主要贡献是,所提出的动态系统识别方法可以克服具有二级适应的多种模型的系统资源浪费,并且不要求所有识别模型直接组合。最后,提供了模拟以说明其有效性。

著录项

  • 来源
  • 作者

    Yin Qitian; Wang Mao; Zhao Wei;

  • 作者单位

    Harbin Inst Technol Space Control & Inertial Technol Res Ctr Harbin 150001 Heilongjiang Peoples R China|Harbin Normal Univ Coll Comp Sci & Informat Engn Harbin Heilongjiang Peoples R China;

    Harbin Inst Technol Space Control & Inertial Technol Res Ctr Harbin 150001 Heilongjiang Peoples R China;

    Harbin Normal Univ Coll Comp Sci & Informat Engn Harbin Heilongjiang Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    adaptive control; multiple models; second-level adaptation; stability; switching;

    机译:自适应控制;多种模型;二级适应;稳定性;切换;

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