Title :
Nonquadratic Lyapunov functions for robust stability analysis of linear uncertain systems
Author :
Zelentsovsky, A.L.
Author_Institution :
Inst. for Syst. Studies, Moscow, Russia
fDate :
1/1/1994 12:00:00 AM
Abstract :
In this note, we derive conditions of existence of a homogeneous polynomial Lyapunov function of an arbitrary even degree establishing global asymptotic stability of linear system with box-bounded uncertainty. Verification of these conditions is reduced to solving a convex minimization problem. We produce numerical examples that demonstrate significant improvement in estimates of admissible uncertainty bounds compared with estimates obtained via the most commonly used quadratic Lyapunov functions
Keywords :
Lyapunov methods; control system analysis; convex programming; linear systems; minimisation; stability; admissible uncertainty bounds; box-bounded uncertainty; convex minimization; existence; global asymptotic stability; homogeneous polynomial Lyapunov function; linear uncertain systems; nonquadratic Lyapunov functions; robust stability analysis; Equations; Linear systems; Lyapunov method; Polynomials; Robust stability; Stability analysis; Sufficient conditions; Uncertain systems; Uncertainty; Vectors;
Journal_Title :
Automatic Control, IEEE Transactions on