Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
755856 | Communications in Nonlinear Science and Numerical Simulation | 2013 | 11 Pages |
In this paper, we prove the convergence of a numerical algorithm that switches in some deterministic or random manner, the control parameter of a class of continuous-time nonlinear systems while the underlying initial value problem is numerically integrated. The numerically obtained attractor is a good approximation of the attractor obtained when the control parameter is replaced with the average of the switched values. In this way, a generalization of Parrondo’s paradox can be obtained. As an application, the Lorenz and Rabinovich–Fabrikant systems are used for illustration.
► We present the convergence proof of a parameter switching algorithm for a class of nonlinear systems. ► Any attractor can be numerically approximated. ► New way to control and anticontrol of chaos. ► Generalizations of Parrondo’s paradox are obtained.