  In many complex systems, large events are believed to follow power-law,
scale-free probability distributions, so that the extreme, catastrophic events
are unpredictable. Here, we study coupled chaotic oscillators that display
extreme events. The mechanism responsible for the rare, largest events makes
them distinct and their distribution deviates from a power-law. Based on this
mechanism identification, we show that it is possible to forecast in real time
an impending extreme event. Once forecasted, we also show that extreme events
can be suppressed by applying tiny perturbations to the system.
