Title :
Sufficient Conditions for Finite-Time Stability and Stabilization of Nonlinear Quadratic Systems
Author :
Amato, Francesco ; Cosentino, Carlo ; Merola, Alessio
Author_Institution :
Sch. of Comput. & Biomed. Eng., Univ. degli Studi Magna Graecia di Catanzaro, Catanzaro, Italy
Abstract :
In this paper we deal with the finite-time stability problem for quadratic systems. Such class of systems plays an important role in the modeling of a wide class of nonlinear processes (electrical, robotic, biological, etc.). The main results of the paper consist of two sufficient conditions for finite-time stability analysis and finite-time stabilization via static state feedback; both conditions are given in terms of the feasibility of a convex optimization problem, involving linear matrix inequalities. A numerical example illustrates the applicability of the proposed technique.
Keywords :
Lyapunov methods; asymptotic stability; convex programming; linear matrix inequalities; nonlinear systems; state feedback; convex optimization; finite time stability; linear matrix inequality; nonlinear quadratic systems stabilization; quadratic system; static state feedback; Asymptotic stability; Biological system modeling; Calculus; Control system synthesis; Cost function; Entropy; Linear matrix inequalities; Power system dynamics; Power system modeling; Robots; Stability; State feedback; Steady-state; Sufficient conditions; Time varying systems; Finite time stability (FTS); nonlinear quadratic systems;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2009.2036312