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COMPUTER METHOD FOR ANALYZING THE STABILITY OF DIFFERENTIAL EQUATIONS SYSTEMS
S.G. Bulanov2021-02-13Abstract ▼This article proposes approach to the stability analysis in the sense of Lyapunov for systems
of ordinary differential equations. The approach is based on stability criteria in the form of necessary
and sufficient conditions obtained on the basis of matrix multiplicative transformations of
difference schemes of numerical integration. The matrix, multiplicative form of criteria implies the
possibility of their cyclic program implementation in the form of a cycle by the number of multipliers.
It is mathematically proved that the replacement of an infinite matrix product with a finite
product, which is necessary in the programming process, preserves the certainty of the stability
analysis according to the proposed criteria. The dependence of the certainty of computer stability
analysis on the error of the difference solution of a system of ordinary differential equations is
investigated. In order to improve the accuracy of difference approximations of the solution and
linearization of the system, the method of variable piecewise polynomial approximation of the
solution is used. The method gives continuous and continuously differentiable approximations of
the desired solutions over the entire integration interval. The required approximations are obtained
on the basis of a piecewise-polynomial approximation by Newtonian interpolation polynomials
converted to the form of a polynomial with numerical coefficients. Computer approximation
of integrands increases the accuracy of integral calculation. This increases the accuracy of calculating
expressions in each multiplier of matrix products, and consequently increases the certainty
of analysis using stability criteria. A program and numerical experiment was conducted to analyze
the stability of the Lorentz system under given initial conditions and parameters changes. Based
on the numerical data obtained during the experiment, the stability nature of the system under
study is unambiguously established. In General, the proposed approach makes it possible to perform
a stability analysis arbitrary systems of ordinary differential equations in real time mode
without access to methods of the qualitative theory of differential equations and systems of computer
mathematics. -
STABILITY ANALYSIS OF RIGID SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS
S. G. Bulanov2021-08-11Abstract ▼A method for analyzing stability in the sense of Lyapunov for systems of ordinary differential
equations is proposed. The method is based on stability criteria in the form of necessary and sufficient
conditions obtained on the basis of vector-matrix transformations of difference numerical
integration schemes. The varieties of criteria in multiplicative, additive and matrix form are presented.
The design of the criteria implies the possibility of their programmatic realization. To increase
the reliability of the stability analysis, the approximations of the solution included in the
construction of the criteria are based on piecewise interpolation approximation by Lagrange polynomials
converted to a form with numerical coefficients. A programming and numerical experiment
is carried out to analyze the stability of the Belousov-Jabotinsky periodic reaction model,
which belongs to the class of rigid systems, under given initial conditions. The analysis is carried
out on the basis of the presented criteria and the results of the program clearly determine the nature
of the stability in real time. Based on the results of the experiment, it can be argued that replacing
the difference approximations of the solution with piecewise interpolation approximations
increases the reliability of the stability analysis, reduces the study time, and makes it possible to
determine the asymptotic properties of the solution. In general, the proposed approach is an alternative
to the methods of the qualitative theory of differential equations and makes it possible to
reliably determine the stability of rigid systems of ordinary differential equations in real time. -
INVESTIGATION OF THE IMPACT OF COMPLEX FIRE CONDITIONS ON THE QUALITY OF SURVEILLANCE AND FLIGHT SAFETY OF UAVS
M.I. Mokrova2021-04-04Abstract ▼Aviation monitoring of fires with the help of unmanned aerial vehicles (UAVs), in particular,
forest ones, during which the search for various objects of interest is carried out: people, cars,
etc., is one of the most effective measures to reduce the level of possible losses. In this paper, we
consider approaches to the formation of algorithms for processing and improving images obtained
in the process of monitoring the fire situation, based on the use of neural networks, as well as
image filtering algorithms, in order to search for various objects of interest. Fire monitoring using
an UAV is a two-criteria task: there is a need to protect the device from the thermal effects of the
fire as much as possible, as well as to maximize the observability, which can be achieved by reducing
the altitude of the flight. This paper presents the empirical models developed by the authors for
the flight safety of an unmanned aerial vehicle and the observability of objects of interest in the
process of monitoring the fire situation. The proposed models allow us to take into account the
features of the monitoring conditions, such as the priority of detecting the object of interest to the
security of the reconnaissance vehicle itself, air humidity, terrain and type of terrain, time of day,
and so on. An example of the application of the contrast model is considered on the example of the
search and detection of the "letter"label. On the basis of the conducted experiment on the recognition
of the mark in the smoke, the analysis of the proposed models is carried out, the quantitative
results are given. The paper describes the criteria for the optimal choice of the altitude of the
flight of the device over the observed scene, which are formed on the basis of the base of expert
assessments, as well as the proposed models of the observability and safety of the UAV flight. Depending
on the target search task, the optimality criterion for choosing the UAV flight altitude
over the observed scene may vary.








