Adaptive strategies for chaos recognition, control, synchronization, filtering and targeting

Stefano Boccaletti, Profesor Adjunto, Departamento de Fisica y Matematica Aplicada, Universidad de Navarra, Irunlarrea s/n
31080 Pamplona SPAIN
Tel: +34.48.425600, Fax: +34.48.425649, E-mail:

An adaptive strategy is discussed, whereby the local variation rates and some information on the long time trends of a dynamical system are used to characterize chaotic dynamics and to discriminate them from a stochastic behavior. Applications are provided for stabilization of unstable periodic orbits, for chaos synchronization, for fast targeting of any point of the attractor, and for filtering noise from experimental time series.