Title :
Stability analysis of nonlinear quadratic systems via polyhedral Lyapunov functions
Author :
Amato, F. ; Calabrese, F. ; Cosentino, C. ; Merola, A.
Author_Institution :
Sch. of Comput. Sci. & Biomed. Eng., Univ. degli Studi Magna Gratia di Catanzaro, Catanzaro
Abstract :
Quadratic systems play an important role in the modeling of a wide class of nonlinear processes (electrical, robotic, biological, etc.). For such systems it is of mandatory importance not only to determine whether the origin of the state space is locally asymptotically stable, but also to ensure that the operative range is included into the convergence region of the equilibrium. Based on this observation, this paper considers the following problem: given the zero equilibrium point of a nonlinear quadratic system, assumed to be locally asymptotically stable, and a certain polytope in the state space containing the origin, determine whether this polytope belongs to the region of attraction of the equilibrium. The proposed approach is based on polyhedral Lyapunov functions, rather than on the classical quadratic Lyapunov functions. An example shows that our methodology may return less conservative results than those obtainable with previous approaches.
Keywords :
Lyapunov methods; asymptotic stability; nonlinear control systems; state-space methods; asymptotic stability; nonlinear quadratic systems; polyhedral Lyapunov functions; quadratic Lyapunov functions; stability analysis; state space process; Biological system modeling; Computational biology; Control systems; Linear matrix inequalities; Lyapunov method; Nonlinear control systems; Polynomials; Stability analysis; State-space methods; Systems biology;
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2008.4586833