Geodesic
Algorithms for diagnosing the motion of aircrafts
Itogi nauki i tehniki. Sovremennaâ matematika i eë priloženiâ. Tematičeskie obzory, Geometry and Mechanics, Tome 205 (2022), pp. 95-106

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In this paper, we perform qualitative and numerical mathematical experiments on diagnosing the control system of an aircraft during its planning from nearly orbital altitudes with an initial speed close to the first escape speed. We show that diagnostic algorithms proposed are effective in the search for various types of reference malfunctions, in particular, malfunctions in sensors of control signals from a gyro-stabilized platform, almost reference malfunctions in trajectory measurements with errors, and also in the case of continuous express diagnostics.
Keywords: problem of differential diagnostics, direct (indirect) control system, diagnostics, a priori list of malfunctions. 
@article{INTO_2022_205_a5,
     author = {M. V. Shamolin},
     title = {Algorithms for diagnosing the motion of aircrafts},
     journal = {Itogi nauki i tehniki. Sovremenna\^a matematika i e\"e prilo\v{z}eni\^a. Temati\v{c}eskie obzory},
     pages = {95--106},
     publisher = {mathdoc},
     volume = {205},
     year = {2022},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/INTO_2022_205_a5/}
}
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M. V. Shamolin. Algorithms for diagnosing the motion of aircrafts. Itogi nauki i tehniki. Sovremennaâ matematika i eë priloženiâ. Tematičeskie obzory, Geometry and Mechanics, Tome 205 (2022), pp. 95-106. http://geodesic.mathdoc.fr/item/INTO_2022_205_a5/