非线性系统不变量在辨识中的应用

W. Wong
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引用次数: 2

摘要

利用一类被称为例外点的不变量,研究了平稳线性分析系统的实现理论。讨论了Carleman线性化、多变量拉普拉斯变换和半格等概念,为用异常点的最小产生器表征最小实现程度的主要定理做了准备。本文的研究结果为进一步研究平稳线性分析系统的实现问题奠定了基础。这些思想在非线性辨识和参数估计问题上也有潜在的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nonlinear system invariants with applications to identification
The realization theory of stationary linear analytic systems is investigated by means of a class of invariants known as the exceptional points. Concepts like Carleman linearization, multivariable Laplace transform, and semi-lattice are discussed to prepare for the main theorem which characterizes the degree of minimal realization in terms of the minimal generators of the exceptional points. The results here lay the foundation for further work in the realization problem of stationary linear analytic systems. These ideas also have potential application to nonlinear identification and parameter estimation problems.
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