非线性系统的模型匹配与因子分解:一种结构方法

G. Conte, C. Moog, A. Perdon
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引用次数: 19

摘要

本文研究了仿射非线性系统的模型匹配和左因子分解问题,在不要求补偿器或左因子适当的一般公式中,以及在要求适当的较强公式中。该方法基于结构算法,该算法用于定义结构不变量、秩和无穷处的结构,这些结构不变量、秩和无穷处的结构表征了解的存在性,并且更直接地用于构造此类解。用无穷远处的秩或结构之间的等式找到了问题可解性的充分必要条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model-matching and factorization for nonlinear systems: a structural approach
The authors consider the model-matching and left-factorization problems for affine nonlinear systems in a general formulation which does not demand the compensator or the left factor to be proper, as well as in a stronger one, in which properness is required. The approach is based on the structure algorithm, which serves to define the structural invariants, rank, and structure at infinity that characterize the existence of solutions and that, more directly, is employed in constructing such solutions. Necessary and sufficient conditions for the solvability of the problems are found in terms of equalities between ranks or structures at infinity.<>
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