Scholarlink

This chapter presents techniques for obtaining useful synthetic mathematical models of a dynamic system, based on the signals recorded during its practical operation. These signals may originate from transducer measurements of the system's dynamical evolution, including its input, output, or both. The synthesized models are categorized as either parametric or non-parametric. Non-parametric models rely on time or frequency functions that descriptively summarize the system's vibrational characteristics. In contrast, parametric models yield lumped parameter models that closely approximate the mathematical models described in the earlier chapters (Chapters 1 to 3) of this work.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Identification of Dynamic Systems

  • 章节

  • 发表日期：

    2026年

查看全文
  • Paulo Kurka

摘要

This chapter presents techniques for obtaining useful synthetic mathematical models of a dynamic system, based on the signals recorded during its practical operation. These signals may originate from transducer measurements of the system's dynamical evolution, including its input, output, or both. The synthesized models are categorized as either parametric or non-parametric. Non-parametric models rely on time or frequency functions that descriptively summarize the system's vibrational characteristics. In contrast, parametric models yield lumped parameter models that closely approximate the mathematical models described in the earlier chapters (Chapters 1 to 3) of this work.