Title
A hierarchy of LMI inner approximations of the set of stable polynomials
Abstract
Exploiting spectral properties of symmetric banded Toeplitz matrices, we describe simple sufficient conditions for the positivity of a trigonometric polynomial formulated as linear matrix inequalities (LMIs) in the coefficients. As an application of these results, we derive a hierarchy of convex LMI inner approximations (affine sections of the cone of positive definite matrices of size m) of the nonconvex set of Schur stable polynomials of given degree n<m. It is shown that when m tends to infinity the hierarchy converges to a lifted LMI approximation (projection of an LMI set defined in a lifted space of dimension quadratic in n) already studied in the technical literature. An application to robust controller design is described.
Year
DOI
Venue
2011
10.1016/j.automatica.2011.02.026
Automatica
Keywords
Field
DocType
Stability,Positive polynomials,LMI,Toeplitz matrices
Trigonometric polynomial,Mathematical optimization,Combinatorics,Polynomial matrix,Polynomial,Matrix (mathematics),Positive-definite matrix,Pure mathematics,Toeplitz matrix,Symmetric matrix,Mathematics,Schur polynomial
Journal
Volume
Issue
ISSN
47
7
0005-1098
Citations 
PageRank 
References 
1
0.38
3
Authors
2
Name
Order
Citations
PageRank
Mustapha Ait Rami114310.15
Didier Henrion298788.48