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Aerospace Instrument-Making

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Neuro-similar system for estimation of the mobile technological platform rotation paramrters
Devyatisil’niy A.S. Chislov K.A.

In article we consider a system for estimating the parameters of rotation of aero-space platforms, organized as a system of joint processing of two types of infor-mation – astrophysics and inertial ones, respectively delivers optical and gyroscopic sensors. A mathematical model of this system can be represented as the inverse of the «state-measurement», where the state equation – a kinematic Poisson’s equation describe the evolution of the coordinate transformation matrix in inertial reference frame coordinates of the instrument and measurement equation describe the transformation of the sight stars unit vectors. We propose an algorithm to solve the above problem, based on multi-model algorithm for dynamic interpretation of the treatment of Kalman type associated with some of the provisions of neurodynamics and neuromorphism characterizing thinking, such as the focus, the structural modularity, the time variation of the dynamics of the response to stimulation of the neural system (addictive), etc. The results of numerical exper-iments illustrating the study.
Key words: astro-inertial system, navigation stars, gyro sensors, optical devices, neuro-similarity, artificial neuron network, synaptic coefficients.


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Pp. 03-08.

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