DocumentCode
592673
Title
Stability of non-polynomial systems using differential inclusions and polynomial Lyapunov functions
Author
Hexner, G.
Author_Institution
RAFAEL, Adv. Defense Products, Haifa, Israel
fYear
2012
fDate
10-13 Dec. 2012
Firstpage
2946
Lastpage
2951
Abstract
The concept of linear differential inclusions is generalized to approximate a non polynomial system by polynomial systems. In parallel with the use of linear differential inclusions in the study of non-linear system stability, the right hand side of the non-linear system is expressed as a convex combination of the approximating polynomials. A common Lyapunov function for the approximating polynomials establishes the stability of the non-linear system. The common polynomial Lyapunov function can be calculated by using the recently developed sum of squares methods.
Keywords
Lyapunov methods; convex programming; nonlinear control systems; polynomial approximation; stability; common polynomial Lyapunov function; linear differential inclusions; nonlinear system stability; nonpolynomial systems stability; polynomial approximation; sum of squares methods; Approximation algorithms; Approximation methods; Asymptotic stability; Lyapunov methods; Optimization; Polynomials; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location
Maui, HI
ISSN
0743-1546
Print_ISBN
978-1-4673-2065-8
Electronic_ISBN
0743-1546
Type
conf
DOI
10.1109/CDC.2012.6427108
Filename
6427108
Link To Document