Suppression of deterministic and stochastic extreme desynchronization events using anticipated synchronization

Abstract

We numerically show that extreme events induced by parameter mismatches or noise in coupled oscillatory systems can be anticipated and suppressed before they actually occur. We show this in a main system unidirectionally coupled to an auxiliary system subject to a negative delayed feedback. Each system consists of two electronic oscillators coupled in a master-slave configuration. Extreme events are observed in this coupled system as large and sporadic desynchronization events. Under certain conditions, the auxiliary system can predict the dynamics of the main system. We use this to efficiently suppress the extreme events by applying a direct corrective reset to the main system.

References in corpus (3)

• Dragon-kings: mechanisms, statistical methods and empirical evidence
• Predictability and suppression of extreme events in complex systems
• Predict-prevent control method for perturbed excitable systems

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