Simulation and identification of the vascular system dynamics for adaptive TAH-controller design

A nonlinear mathematical model of the short-term behavior of the systemic vascular dynamics has been developed for the design of adaptive total artificial heart (TAH) controllers and their optimization. A three-step identification scheme was applied in connection with measurements observed on TAH calves to estimate the unknown model parameters. It was proved that all model parameters are identifiable. A good representation of the real system dynamics was obtained, and the robust identifiability of the total compliance of the system was established, which implies an estimate with a low standard deviation.<>