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Observer-based state estimation of discrete-time nonlinear systems via a novel maximum-priority-based fuzzy observer

机译:基于新型基于最大优先级的模糊观测器的离散时间非线性系统基于观测器的状态估计

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摘要

The observer-based state estimation of discrete-time nonlinear systems is carried forward by designing a new maximum-priority-based fuzzy observer. The significant distribution information about the current-time normalized fuzzy weighting functions is well employed by means of a maximum-priority-based switching law. Compared with the existing results, a new fuzzy observer can be provided for the sake of giving less conservative result over previous results proposed in the literature. Finally, several illustrative examples are provided for showing the advantage of the result given in this paper.
机译:通过设计新的基于最大优先级的模糊观测器,实现了离散时间非线性系统基于观测器的状态估计。借助于基于最大优先级的切换定律,可以很好地利用有关当前时间归一化模糊加权函数的重要分布信息。与现有结果相比,可以提供一种新的模糊观测器,以便给出比文献中提出的先前结果更少的保守结果。最后,提供了几个说明性示例,以显示本文给出的结果的优点。

著录项

  • 来源
    《Signal processing》 |2017年第8期|63-68|共6页
  • 作者

    Dongsheng Yang; Xiangpeng Xie;

  • 作者单位

    School of Information Science and Engineering, Northeastern University, Shenyang Liaoning 110004, PR China;

    School of Automation, Huazhong University of Science and Technology, Wuhan 430074, PR China,Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, PR China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Ninlinear estimation; Maximum-priority; Switching observer; Fuzzy observer;

    机译:非线性估计;最大优先级;切换观察者;模糊观察者;

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