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基于 SWσ 的 SISO 系统时延估计。

Time-delay estimation for SISO systems using SWσ.

机构信息

Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, Baoding 071003, China; School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China.

School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China.

出版信息

ISA Trans. 2018 Sep;80:43-53. doi: 10.1016/j.isatra.2018.07.044. Epub 2018 Aug 9.

Abstract

This paper addresses the time-delay estimation problem of SISO systems using uniformly sampled input-output data. A dependence measure known as Schweizer and Wolff's σ (SWσ) from the copula theory is employed to measure the dependence of the input-output data. The quantitative relation between the time-delay and SWσ is studied, and the time-delay is estimated given that the SWσ of the input-output data reaches its maximum value when the time-delay is removed. The major advantage of our work is that no other parameters of the system must be estimated before or during the time-delay estimation process. Experiments and comparisons are used to verify the feasibility and effectiveness of the proposed method.

摘要

本文针对使用均匀采样输入输出数据的 SISO 系统的时滞估计问题。采用Copula 理论中的依赖度量Schweizer 和 Wolff 的σ(SWσ)来测量输入输出数据的依赖关系。研究了时滞与 SWσ之间的定量关系,并在去除时滞后,当输入输出数据的 SWσ达到最大值时,估计时滞。我们工作的主要优点是,在进行时滞估计之前或期间,不需要估计系统的其他参数。通过实验和比较验证了所提出方法的可行性和有效性。

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