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

By making use of a parametric adaptive control, it is possible to sync hronize, 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. T his method can be regarded as an adaptive mechanism with potential rel evance to biological systems. This mechanism may allow complex self-re gulated biological networks to modify their clustering behavior in so as to fit environmental changes, thus optimizing their performances.