Title :
Stability of non-polynomial systems using differential inclusions and polynomial Lyapunov functions
Author_Institution :
RAFAEL, Adv. Defense Products, Haifa, Israel
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;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6427108