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Polynomial approximation of quasipolynomials based on digital filter design principles

机译:基于数字滤波器设计原理的拟多项式的多项式逼近

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摘要

This contribution is aimed at a possible procedure approximating quasipolynomials by polynomials. Quasipolynomials appear in linear time-delay systems description as a natural consequence of the use of the Laplace transform. Due to their infinite root spectra, control system analysis and synthesis based on such quasipolynomial models are usually mathematically heavy. In the light of this fact, there is a natural research endeavor to design a sufficiently accurate yet simple engineeringly acceptable method that approximates them by polynomials preserving basic spectral information. In this paper, such a procedure is presented based on some ideas of discrete-time (digital) filters designing without excessive math. Namely, the particular quasipolynomial is subjected to iterative discretization by means of the bilinear transformation first; consequently, linear and quadratic interpolations are applied to obtain integer powers of the approximating polynomial. Since dominant roots play a decisive role in the spectrum, interpolations are made in their very neighborhood. A simulation example proofs the algorithm efficiency. © Springer International Publishing Switzerland 2016.
机译:该贡献旨在通过准多项式近似拟多项式的可能过程。准多项式出现在线性延迟系统描述中,是使用拉普拉斯变换的自然结果。由于其无限的根谱,基于这种准多项式模型的控制系统分析和综合通常在数学上很繁琐。考虑到这一事实,自然而然地努力设计一种足够准确而又简单的工程上可接受的方法,该方法可以通过保留基本光谱信息的多项式来近似它们。在本文中,基于离散时间(数字)滤波器设计的一些思想而提出了这样的程序,而无需过多的数学运算。即,首先通过双线性变换对特定的拟多项式进行迭代离散化。因此,应用线性和二次内插以获得近似多项式的整数幂。由于显性根在光谱中起决定性作用,因此在其附近进行插值。仿真实例证明了算法的有效性。 ©瑞士Springer国际出版社,2016年。

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