Artículos de revistas
Nonlinear dynamic systems design based on the optimization of the domain of attraction
Fecha
2011-03Registro en:
Matallana Perez, Luis Geronimo; Blanco, Anibal Manuel; Bandoni, Jose Alberto; Nonlinear dynamic systems design based on the optimization of the domain of attraction; Pergamon-Elsevier Science Ltd; Mathematical And Computer Modelling; 53; 5-6; 3-2011; 731-745
0895-7177
CONICET Digital
CONICET
Autor
Matallana Perez, Luis Geronimo
Blanco, Anibal Manuel
Bandoni, Jose Alberto
Resumen
In this paper an optimization-based methodology for the design of the operating equilibrium of a nonlinear dynamic system based on a measure of the extension of its domain of attraction is proposed. The approach consists in maximizing the radius of a ball in the state space contained in the region of negative definiteness of the time derivative of a quadratic Lyapunov function, using a two level optimization strategy. A deterministic global optimization problem is solved at the inner level to ensure proper estimation of the domain of attraction for each feasible realization of the design variables which are optimized at the outer level. In order to cope with the non-differentiable nature of the inner problem, a stochastic algorithm is applied to manipulate the design variables at the outer level. The methodology is applied to several examples to illustrate different aspects of the approach. © 2010 Elsevier Ltd.