Neurovascular coupling and cerebral autoregulation are important and fast mechanisms for maintaining an adequate blood supply to the brain. It was suggested that both mechanisms follow a common control system. The aim of our study was to describe neurovascular coupling and cerebral autoregulation in mathematical terms of a control system and to test the aforementioned hypothesis. We analyzed the input-output dynamics of neurovascular coupling (flicker light test) and cerebral autoregulation (leg cuff test) in terms of a control system, and compared both systems. A transcranial Doppler device was used to measure continuously the blood flow velocity changes in young healthy volunteers who lacked vascular risk factors. For both tests, a control system model with only four parameters was sufficient to allow the vascular reaction to be described in all (rate time, undamped natural angular frequency, attenuation, gain). All parameters were identical for both control systems, except for gain, which is not directly comparable because, in the flicker light test, input function was not measured but assumed as a unit step function in each volunteer. This new method permits description of the regulation of cerebral blood flow using a control loop with four parameters. For the first time, these parameters allowed a demonstration that cerebral autoregulation and neurovascular coupling could be governed by the same control system.