Modeling of Cerebral Blood Flow Autoregulation Using Intracranial Pressure Estimation by means of a State Observer

A mathematical model of cerebral blood flow in the form of a dynamical system is considered. The cerebral blood flow autoregulation modeling problem is treated as an output regulation control problem. The cerebral autoregulation mechanism is described in terms of an output feedback control law based on measurements of the arterial-arteriolar blood flow rate values and intracranial pressure estimates made by an asymptotic state observer. Simulation results confirm good performance of the suggested cerebral blood flow autoregulation model in the form of a dynamic output feedback.