Inertial satellite neuromorphic system for estimation of the rotation parameters of a mobile technological platform

A system is discussed including an on-board set of GLONASS receivers and gyroscopic sensors of angular velocities, which are integrated into a neural computer network implementing a Kalman-type multimodel dynamic pseudoinversion algorithm. The results of a computational experiment are presented.