求解连续 Lyapunov 方程的结构谱方法

IF 0.6 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS
I. B. Yadykin, I. A. Galyaev
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引用次数: 0

摘要

摘要 对于以对角线形式、可控性和可观测性形式呈现的具有简单谱的线性多变量连续静止稳定控制系统,开发了一种方法,并获得了以各种肖矩阵形式存在的格兰谱分解的解析公式。对于有多个输入和多个输出的多连接连续线性系统,开发了一种以哈达玛乘积形式计算广义肖矩阵的方法和算法。这样,我们就能以乘数矩阵相应元素与一个矩阵的乘积形式计算相应的可控性和可观测性矩阵的元素,该矩阵是系统矩阵传递函数分母矩阵所有可能乘积的总和。通过对可控性和可观测性的逆格兰的谱分解和奇异分解,可以获得新的结果。这样就有可能获得能量函数的不变分解,并在考虑模式相互作用的非线性效应的情况下,制定线性系统稳定性的新标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural Spectral Methods for Solving Continuous Lyapunov Equations

For linear multivariable continuous stationary stable control systems with a simple spectrum, presented in the form of a canonical diagonal form, controllability and observability forms, a method was developed and analytical formulas for spectral decompositions of gramians in the form of various Xiao matrices were obtained. A method and algorithm for calculating generalized Xiao matrices in the form of the Hadamard product for multiply connected continuous linear systems with many inputs and many outputs have been developed. This allows us to calculate the elements of the corresponding controllability and observability gramians in the form of products of the corresponding elements of the multiplier matrices and a matrix that is the sum of all possible products of the numerator matrices of the matrix transfer function of the system. New results are obtained in the form of spectral and singular decompositions of the inverse gramians of controllability and observability. This makes it possible to obtain invariant decompositions of energy functionals and formulate new criteria for the stability of linear systems taking into account the nonlinear effects of mode interaction.

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来源期刊
Automation and Remote Control
Automation and Remote Control 工程技术-仪器仪表
CiteScore
1.70
自引率
28.60%
发文量
90
审稿时长
3-8 weeks
期刊介绍: Automation and Remote Control is one of the first journals on control theory. The scope of the journal is control theory problems and applications. The journal publishes reviews, original articles, and short communications (deterministic, stochastic, adaptive, and robust formulations) and its applications (computer control, components and instruments, process control, social and economy control, etc.).
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