Structural Spectral Methods of Solving Continuous Generalized Lyapunov Equation

Methods and algorithms for obtaining analytical formulas for spectral decompositions of gramians for bilinear multi-connected continuous stationary stable systems with a simple spectrum are developed. A guaranteed limited area of distribution of methods for solving and analyzing linear control systems to a class of bilinear systems is found. New sufficient conditions for BIBO stability of bilinear systems are developed. The obtained spectral decompositions of solutions by the spectrum of the dynamics matrix of the linear part, as well as the spectrum and residues of the images of actions, allow us to estimate their influence on the stability and dynamic characteristics of the bilinear system.

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Publication Details

Journal
Automation and Remote Control
Published
2024-10-01
DOI
https://doi.org/10.1134/s0005117924700292
Primary Topic
Model Reduction and Neural Networks
Type
article
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article

Structural Spectral Methods of Solving Continuous Generalized Lyapunov Equation

I. A. Galyaev, Igor B. Yadykin
Automation and Remote Control
Model Reduction and Neural Networks
article

Structural Spectral Methods of Solving Continuous Generalized Lyapunov Equation

I. A. Galyaev, Igor B. Yadykin
article en

Abstract

Methods and algorithms for obtaining analytical formulas for spectral decompositions of gramians for bilinear multi-connected continuous stationary stable systems with a simple spectrum are developed. A guaranteed limited area of distribution of methods for solving and analyzing linear control systems to a class of bilinear systems is found. New sufficient conditions for BIBO stability of bilinear systems are developed. The obtained spectral decompositions of solutions by the spectrum of the dynamics matrix of the linear part, as well as the spectrum and residues of the images of actions, allow us to estimate their influence on the stability and dynamic characteristics of the bilinear system.

Automation and Remote ControlVol. 85(10)
V. A. Trapeznikov Institute of Control Sciences (RU)
Openalex Percentile: Top 76%
Model Reduction and Neural Networks
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