线性连续系统模型与其按较小周期采样所得离散模型之间的参数关系

    Parameter Relations between the Linear Continuous Time System Model and Its Sampled Version with Relatively Small Sampling Period

    • 摘要: 在分析线性系统连续模型参数与离散化模型参数间一般关系的基础上,导出了采样周期较小条件下两种模型参数间的近似简化关系式;进而导出了离散模型参数的近似取值范围。此外,对离散模型及相应的多步预报模型的参数总和趋一规律作了简捷而严格的证明,导出了确切的表达式。
      本文主要成果稳健性自适应控制中参数估计的初值设定和重置,以及波动限幅都十分有用。

       

      Abstract: The general relations between the model parameters of a continuous time system and its sampled version are firstly reviewed, and some simplified formulas for approximating these relations under the condition of relatively small sampling period are further developed. Thus, the numerical ranges of the sampled model parameters can then be predetermined roughly. Moreover, the tending-to-one theorems for the parameter sum of both the sampled model and its predictive version are also proved in a rigorous manner.
      The main results obtained are very useful for the robust setf-tuning control, especially in presetting or resetting the initial values and deviation limits of the on-line recursive parameter estimation.

       

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