1. An adaptive multi-level hierarchical control system for predicting and controlling the electrographic onset of a seizure and other neurological disturbances in an individual, comprising: a data generation component that acquires physiological signals detected by at least one sensor located in or on the individual; an intelligent data processing device that processes the physiological signals to extract features that are analyzed and classified to form a feedback vector that includes an estimate of a probability of seizure for at least one specific time frame; a low level controller including a stimulation device that is activated to apply a preventive measure in response to the feedback vector to control the onset of seizure and to adjust an internal parameter setting in at least one actuator in the stimulation device; and a high level supervisory controller including a knowledge database and a processor that adapts to feedback vector changes over time and re-tunes the intelligent data processing device parameter settings dynamically.