ADAPTIVE SYNCHRONIZATION OF GLOBALLY COUPLED CHAOTIC OSCILLATORS USING CONTROL IN NOISY ENVIRONMENTS

摘要

By making use of a parametric adaptive control, it is possible to synchronize, desynchronize or resynchronize a network of globally coupled chaotic oscillators in the presence of large noise. The method, based on the Kalman filter, is applied to logistic and Henon map lattices. This method can be regarded as an adaptive mechanism with potential relevance to biological systems. This mechanism may allow complex self-regulated biological networks to modify their clustering behavior in so as to fit environmental changes, thus optimizing their performances. [References: 45]