Stability analysis of nonlinear quadratic systems via polyhedral Lyapunov functions

— 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.

• Type: Journal
• Year: 2011
• Where: AUTOMATICA
• Authors: Francesco Amato, Francesco Calabrese, Carlo Cosentino, Alessio Merola
• Keywords: Artificial Intelligence, Asymptotically Stable, AUTOMATICA 2011, Lyapunov Functions, State Space