Title
Stability Analysis of Polynomially Dependent Systems by Eigenvalue Perturbation.
Abstract
In this technical note we present a stability analysis approach for polynomially-dependent one-parameter systems. The approach, which appears to be conceptually appealing and computationally efficient and is referred to as an eigenvalue perturbation approach, seeks to characterize the analytical and asymptotic properties of eigenvalues of matrix-valued functions or operators. The essential problem dwells on the asymptotic behavior of the critical eigenvalues on the imaginary axis, that is, on how the imaginary eigenvalues may vary with respect to the varying parameter. This behavior determines whether the imaginary eigenvalues cross from one half plane into another, and hence plays a critical role in determining the stability of such systems. Our results reveal that the eigenvalue asymptotic behavior can be characterized by solving a simple generalized eigenvalue problem, leading to numerically efficient stability conditions.
Year
DOI
Venue
2017
10.1109/TAC.2016.2645758
IEEE Trans. Automat. Contr.
Keywords
Field
DocType
Eigenvalues and eigenfunctions,Asymptotic stability,Stability criteria,Numerical stability,Lyapunov methods,Matrix decomposition
Linear stability,Mathematical optimization,Eigenvalue perturbation,Mathematical analysis,Exponential stability,Divide-and-conquer eigenvalue algorithm,Asymptotic analysis,Eigenvalues and eigenvectors,Mathematics,Numerical stability,Stability theory
Journal
Volume
Issue
ISSN
62
11
0018-9286
Citations 
PageRank 
References 
0
0.34
9
Authors
5
Name
Order
Citations
PageRank
Jie Chen1647124.78
P. Fu2122.29
Mendez-Barrios, C.311.06
Silviu-iulian Niculescu4821108.06
Hongwei Zhang542714.56