DocumentCode :
1207842
Title :
LMI Tests for Positive Definite Polynomials: Slack Variable Approach
Author :
Peaucelle, Dimitri ; Sato, Masayuki
Author_Institution :
LAAS-CNRS, Univ. de Toulouse, Toulouse
Volume :
54
Issue :
4
fYear :
2009
fDate :
4/1/2009 12:00:00 AM
Firstpage :
886
Lastpage :
891
Abstract :
The considered problem is assessing non-negativity of a function´s values when indeterminates are in domains constrained by scalar polynomial inequalities. The tested functions are multi-indeterminates polynomial matrices which are required to be positive semi-definite. New tests based on linear matrix inequalities are provided in a Slack Variables type approach. The results are compared to those obtained via the Sum-Of-Squares approach. They are proved to be equivalent in case of unbounded domains and less conservative if polytopic-type bounds are known.
Keywords :
linear matrix inequalities; polynomials; linear matrix inequalities; multiindeterminates polynomial matrices; positive definite polynomials; scalar polynomial inequalities; slack variable approach; sum-of-squares approach; Educational technology; Linear matrix inequalities; Matrix decomposition; Nonlinear systems; Performance analysis; Polynomials; Programming profession; Robust stability; Robustness; Space technology; Testing; Linear matrix inequality (LMI); matrix-valued polynomials; positivity; robustness; sum-of-squares;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2008.2010971
Filename :
4806156
Link To Document :
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