The article overviews the results of research on the peculiarities of studies of the features of modeling chaotic systems using digital finite-accuracy systems with a fixed point for radar systems. The use of such models allows obtaining robust radar systems, as well as to study the dynamic properties of such systems. Electronic properties of such systems allow using them as a basis for powerful and high-frequency communication systems and other electronic devices whose characteristics are competitive in comparison with existing devices.
References
1.
A.
Zhilenkov
, High productivity numerical computations for gas dynamics modelling based on DFT and approximation
. Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering
, ElConRus 2018.
(2018
). 2.
B.
Beaumont
, P.
Gibart
, J. P.
Faurie
, Nitrogen precursors in metalorganic vapor phase epitaxy of (Al,Ga)N
., Journal of Crystal Growth
, 156
(1995
) 140
–146
.3.
H.
Sato
, H.
Takahashi
, A.
Watanabe
, H.
Ota
, Preparation of GaN films on sapphire by metalorganic chemical vapor deposition using dimethylhydrazine as nitrogen source
, Appl. Phys. Lett
, 68
(1996
) 3617
–3619
.4.
D. G.
Chtchekine
, L. P.
Fu
, G. D.
Gilliland
, Y.
Chen
, S. E.
Ralph
, К. K.
Bajaj
, Y.
Bu
, M. C.
Lin
, F. T.
Bacalzo
, S. R.
Stock
, Properties of low-pressure chemical vapor epitaxial GaN films grown using hydrazoic acid (HN3)
, J. Appl. Phys
, 81
(1997
) 2197
–2207
.5.
D.A.
Neumayer
, A.H.
Cowley
, A.
Decken
, R.A.
Jones
, V.
Lakhotia
, J.G.
Ekerdt
, New Single-Source Precursor Approach to Gallium Nitride
, J. Am. Chem. Soc
, 117
(1995
) 5893
–5894
6.
Zhilenkov
, A.
(2017
). GaN Materials Nanostructures Growth Control in the Epitaxial Units
. Solid State Phenomena
, 265
, 627
–630
. 7.
Zhilenkov
, A.
, Chernyi
, S.
, Nyrkov
, A.
, & Sokolov
, S.
(2017
). Optimization Problem of Thermal Field on Surface of Revolving Susceptor in Vapor-Phase Epitaxy Reactor
. IOP Conference Series: Earth And Environmental Science
, 87
, 082060
. 8.
Chernyi
, S.
, & Zhilenkov
, A.
(2015
). Modeling of Complex Structures for the Ship’s Power Complex Using Xilinx System
. Transport And Telecommunication Journal
, 16
(1
). 9.
Nyrkov
, A.
, Chernyi
, S.
, Zhilenkov
, A.
, & Sokolov
, S.
(2016
). The use of Fuzzy Neural Structures to Increase the Reliability of Drilling Platforms
. DAAAM Proceedings
, 0672
–0677
. 10.
A.
Ivanov
, A.
Zhilenkov
, Acquisition and processing data system based on technologies of inertial capture of the movement. Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering
, ElConRus 2018.
(2018
). 11.
L.
Slepova
, A.
Zhilenkov
, Synthesis of model of hardware realization of LIF-model of biological neuron on the basis of FPGA. Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering
, ElConRus 2018.
(2018
). 12.
A.
Popov
, K.
Sayarkin
, A.
Zhilenkov
, Analysis of perspective models of artificial neural networks for control of robotic objects
. Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering
, ElConRus 2018.
(2018
). .
This content is only available via PDF.
© 2018 Author(s).
2018
Author(s)
You do not currently have access to this content.
