The report deals with the problem of design the new generation of aircraft technical state monitoring systems using methods of artificial intellect. The key point in the intellectual support is the theory of system identification, applied to the problem of aerodynamic parameter estimation from the flight data. The report considers the specific aspects of the parameter identification problem as a part of real-time intelligent monitoring system. The aircraft model with the object noise and the identification algorithm with estimation of identification accuracy are formulated. The presented algorithms are tested through processing the data generated using a modern aircraft simulation facility. (C) 2017 The Authors. Published by Elsevier B.V.