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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <article-id pub-id-type="doi">10.1117/12.2662888</article-id>
      <title-group>
        <article-title>Computational technology for uncertain extended energy-saturated objects magnetic silence control</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Ihor Bovdui</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Borys Kuznetsov</string-name>
          <email>kuznetsov.boris.i@gmail.com</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Tatyana Nikitina</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Konstantin Chunikhin</string-name>
          <email>kvchunikhin@gmail.com</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Olena Voloshko</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Borys Kobylianskyi</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Valeriy Kolomiets</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Inna Nefodova</string-name>
          <email>inna7str@gmail.com</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Anatolii Pidhornyi Institute of Power Machines and Systems of the National Academy of Sciences of Ukraine</institution>
          ,
          <addr-line>Komunalnykiv Str., 2/10, Kharkiv, 61046</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>V. N. Karazin Kharkiv National University</institution>
          ,
          <addr-line>Svobody Sq., 4 , Kharkiv, 61022</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2021</year>
      </pub-date>
      <volume>12506</volume>
      <fpage>36</fpage>
      <lpage>46</lpage>
      <abstract>
        <p>Work presents the development of computational technology for prediction and control by uncertain extended energy-saturated object magnetic silence based on geometric inverse magneto static problem solution with consideration of magnetic characteristics uncertainty to improve magnetic silence of extended energy-saturated object. Geometric inverse problem solution reduced to vector game solution with Wolfram Mathematica software package calculated payof vector. Game solution calculated based on heuristic optimization algorithms from Paretooptimal solutions taking into account binary preference relations local games solutions. Based on developed computational technology results of prediction and control by uncertain extended energy-saturated object magnetic silence presented.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;energy-saturated extended technical objects</kwd>
        <kwd>magnetic field silencing</kwd>
        <kwd>prediction</kwd>
        <kwd>measurements</kwd>
        <kwd>uncertainty</kwd>
        <kwd>geometric inverse magneto static problem</kwd>
        <kwd>heuristic optimization algorithms</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <sec id="sec-1-1">
        <title>1.1. Motivationn</title>
        <p>An important scientific and technical problem of modern magnetism of technical objects is
implementation of strict requirements for external magnetic field level [ 1, 2, 3]. This problem is especially acute for
magnetism of spacecraft, naval vessel and submarines [4, 5, 6]. The success of solving the problem of
magnetism of these technical objects is largely determined by the adequacy of mathematical models
of the external magnetic field (MF) to the real values of the magnetic characteristics of these objects
[7, 8, 9]. To measure the real characteristics of the MF of spacecraft, military ships and submarines,
special magnetodynamic measuring stands have been developed, one of which is located at the Anatolii
Pidhornyi Institute of Power Machines and Systems of the National Academy of Sciences of Ukraine.</p>
        <p>Based on the experimentally measured values of the MF components on the bench, a mathematical
model of the MF of technical object designed [10, 11, 12]. Then, based on the mathematical model of the
technical object designed on the basis of measurements of the near MF, the values of the MF parameters
in the far zone are calculated. This is the task of magnetic field prediction [ 1, 13]. Then, based on the
calculated values of the MF parameters in the far zone, the problem of calculating the parameters and
coordinates of the location in the space of the technical object of the compensating sources of the MF is
solved to meet the requirements for the parameters of the MF of the technical object [14, 15].</p>
      </sec>
      <sec id="sec-1-2">
        <title>1.2. Magnetic silence – state of the art</title>
        <p>The most widely used sources of MF are point sources, the MF of which is described in a spherical
coordinate system (SCS). The mathematical model of technical objects is often adopted in the form
of a Multiple Dipole Model (MDM) [2, 3]. The parameters of the dipoles and the coordinates of their
location in the space of the technical object are determined in the course of solving the geometric
inverse problem of magnetostatics from the condition of minimizing the error between the measured
and predicted by the model values of the parameters of the external MF at the specified points of
measurement of space [5, 6].</p>
        <p>Despite the fact that the shape of military ships and submarines has a "cigar-shaped" appearance of
elongated technical objects, mathematical models of the MF of such objects are also often adopted in
MDM form. In the works [1, 2] the expediency of using mathematical models in the form of elongated
ellipsoidal sources (EES) of MF, describing the parameters of the MF in prolate spheroidal coordinate
systems (PSCS), is shown for such elongated technical objects.</p>
        <p>On magnetodynamic stands, measurements of magnetic characteristics of technical objects are usually
measured in Cartesian coordinate systems (CCS) related to the center of technical objects. In MDM
of the magnetic field of technical objects, the positions of dipole sources of the MF are also specified
in CCS related to the center of technical objects. In addition, on magnetodynamic stands, magnetic
characteristics of component units of electrical equipment of technical objects are often measured,
which are also, as a rule, measured in CCS related to the center of these component units of electrical
equipment of technical objects [10, 11].</p>
        <p>However, mathematical models of concentrated MF sources are calculated in SCS associated with the
centers of these sources. Mathematical models of elongated magnetic field sources are calculated in the
form of prolate spheroidal magnetic field sources in PSCS associated with the centers of these sources
[5, 6].</p>
        <p>In classical works on electrodynamics [1, 2], solutions of the Laplace equation for the scalar potential
of a magnetic field in a SCS and in a PSCS are known. Accordingly, these solutions are written in terms
of SCS and PSCS [16, 17]. But for practice, it is often necessary to work in terms of a CCS [18, 19]. In
addition, it is not the scalar potential that is practically important, but the projections of the magnetic
induction.</p>
        <p>In modern works, for example, related to the magnetic cleanliness of spacecraft and magnetic silence
of naval vessel and submarines, based on solutions of the Laplace equation for the scalar potential of
the MF outside the source, analytical formulas for the projections of magnetic induction in terms of
the SCS and PSCS are obtained. Moreover, in the case of the SCS, these formulas are obtained only for
several first spherical harmonics (up to 4) and for these formulas, the associated Legendre polynomials
are written out, thereby obtaining rather cumbersome formulas [1, 2].</p>
        <p>However, to date there is no generalization of the formula for the case of the n-harmonic. Additional
dificulties are the need to transform coordinates from the CCS to the SCS, and then the obtained
projections of magnetic induction from the SCS to the CCS (a similar situation is with the PSCS). For the
PSCS, the situation is even more complicated: in the formulas for the projections of magnetic induction,
it is necessary to take derivatives of the scalar potential with respect to the PSCS.</p>
        <p>The peculiarity of the considered energy-saturated elongated objects is the inaccurate knowledge
of magnetic characteristics and their change in diferent operating modes. Such objects are called
uncertain objects [16, 17, 18, 19].</p>
      </sec>
      <sec id="sec-1-3">
        <title>1.3. Objectives</title>
        <p>
          This work is devoted to the development of computational technology for prediction and control by
uncertain extended energy-saturated object magnetic silence based on geometric inverse magneto
static problem solution with consideration of magnetic characteristics uncertainty to improve magnetic
silence of extended energy-saturated object.
2. Definition of forward magnetostatics problem for spheroidal
sources
Consider analytical formulas for projections of magnetic induction in CCS for spheroidal harmonics of
MF in PSCS. Consider multyspheroidal model of original magnetic field of energy-saturated extended
technical object in PSCS. Let us assume that initial magnetic field of extended energy-saturated object
generated using I spheroidal magnetic field sources located at technical object space points with
coordinates (, , ) in CCS associated with the center of technical object as shown in Figure 1.
(
          <xref ref-type="bibr" rid="ref1">1</xref>
          )
⎤
⎥
⎥
⎦
⎥⎥ (
          <xref ref-type="bibr" rid="ref2">2</xref>
          )
        </p>
        <p>The relationship between the right triple of unit vectors , ,  of the DSC and the triple , , of the
VSSC has the form [13, 14]: where c is half the focal length of the spheroid whose foci lie on the z-axis
at the points ±c. From a geometric point of view, the triple , , is a family of prolate spheroids (= ),
two-sheeted hyperboloids (= ) and half-planes (= ) passing through the z-axis.</p>
        <p>The solution of the Laplace equation in the PSCS with respect to the scalar potential of the magnetic
ifeld for the external region outside the sources has the form [1, 2]:
 =
4 =1 =0</p>
        <p>∞
1 ∑︁ ∑︁  () (  + 
)  (),
where ,  are the associated Legendre functions of the first and second kind, respectively, with
degree n and order m; ,  are constant coeficients characterizing the magnetic field in the PSCS.</p>
        <p>
          The scalar potential  (, , ), presented in the PSCS (
          <xref ref-type="bibr" rid="ref1">1</xref>
          ), can also be considered in the CCS  (, , ),
expressing , , through , , . To do this, it is necessary to solve equations respectively, with respect to
and .
        </p>
        <p>We can find the projections of magnetic induction using the known relationship B=-0gradU. Moreover,
it should be borne in mind that when taking partial derivatives with respect to , , , the function
 (, , ) should be perceived as a complex  [(, , ), (, , ), (, )] and act in accordance with the</p>
        <p>After simplification and grouping relative to functions  () and  () to reduce calculation time,
diferentiation of a complex function.
we obtain the final formula for :
 (, , ) = − 4 =1 =0 ⎣⎢
⎢
×</p>
        <p>︁(
 0 ∑︁ ∑︁ ⎢⎢× (  + ) ( ()   () + ( −  + 1)) ×
∞
⎡ (′ ( −  ) − ( + 1)
︁(  ′
+  2′−1 ︁)</p>
        <p>×
 ′ +1 ()   () +</p>
        <p>
          ′  ()  +1 () ×
Similarly, we obtain formulas for ,  (note that in the case of  the first term in the curly brackets
Note, that all the formulas (
          <xref ref-type="bibr" rid="ref2">2</xref>
          )–(
          <xref ref-type="bibr" rid="ref3">3</xref>
          ) given above are for the case when the technical object is extended
along the z axis However, a more familiar coordinate system is also often considered, when the technical
object is extended along the x axis. If the technical object is extended along the x-axis, then the CCS
must be rotated relative to the PSCS so that the x -axis takes the place of the z-axis, y takes the place of
x, and z takes the place of y. In this case, the following replacement must be made in formulas (
          <xref ref-type="bibr" rid="ref5">5</xref>
          )–(
          <xref ref-type="bibr" rid="ref8">8</xref>
          ):
 → ;  → ;  → . And in the right-hand parts of formulas (
          <xref ref-type="bibr" rid="ref2">2</xref>
          )–(
          <xref ref-type="bibr" rid="ref3">3</xref>
          ):  → ;  → ;  → .
3. Definition of forward magnetostatics problem for spherical sources
Let us consider analytical formulas for projections of magnetic induction in CCS using spherical
harmonics. The relationship between the right triple of unit vectors , ,  in CCS and triple , , in SCS
has form [1, 2].
        </p>
        <p>The solution of the Laplace equation in the SCS with respect to the scalar potential of the MF for the
region outside the sphere  &gt; 0, where the sources of this field are contained, has the form [1, 2]:
 =</p>
        <p>∞
1 ∑︁</p>
        <p>1
4 =1 +1</p>
        <p>∑︁ (
=0</p>
        <p>+ ℎ)  ()
where , ℎ are constant coeficients characterizing the magnetic field in the SCS.</p>
        <p>For simplicity, we write the relationship between , ,  and , , [1, 2].
calculation time, we obtain the final formula for  :</p>
        <p>Proceeding in a similar manner as for spheroidal coordinates, using connection  = − 0 ,
we write the x – projection B. After simplifying and grouping relative functions  () to reduce
is zero, since ′ = 0):
+  ′ ︁)
′ ( −  ) −</p>
        <p>( + ) × ⎥⎥
×  ()   () + ( −  + 1) ×
[︁  ′ +1 ()   () +  2−1
 2−1
 ′  ()  +1 () × ⎦⎥</p>
        <p>]︁ ⎥
× (  + )
⎤
⎥
⎥
⎡
⎢
⎣
×
×
× ∑︀</p>
        <p>=0 ⎢
× ∑︀
=0 ⎢⎢
⎡
⎢
⎣
⎡
⎢
⎣
︁(
 (, , ) = − 4
 (ℎ − 
′ + () ′  )︁</p>
        <p>2−1
 0 ∑︀∞=1 1+2 ×</p>
        <p>) − ( + 1) ×
( + ℎ) ×
() ′
2−1
×  () + ( −  + 1)</p>
        <p>( + ℎ) ×  +1 ()
′ +
︂(
 (, , ) = − 4
 (ℎ − 
() ′ ︂)
2−1
 0 ∑︀∞=1 1+2 ×</p>
        <p>) − ( + 1) ×
( + ℎ) ×
() ′
2−1
×  () + ( −  + 1)
( + ℎ) ×  +1 ()</p>
        <p>Similarly, we obtain formulas for ,  (note that in the case of  the first term in the curly
brackets is zero, since ′ = 0):
× ∑︀
=0 ⎢×  () + ( −  + 1)
− ( + 1)
 (, , ) = −
︁(
′ + () ′ )︁
2−1
40 ∑︀∞=1 1+2 ×
() ′
2−1
× +1 ()
( + ℎ) ×
( + ℎ) × ⎦⎥
⎤
⎥
⎤
⎥
⎥
⎦
⎤
⎥
⎥
⎥
⎦</p>
        <p>
          (
          <xref ref-type="bibr" rid="ref3">3</xref>
          )
(
          <xref ref-type="bibr" rid="ref4">4</xref>
          )
(
          <xref ref-type="bibr" rid="ref5">5</xref>
          )
(
          <xref ref-type="bibr" rid="ref6">6</xref>
          )
(
          <xref ref-type="bibr" rid="ref7">7</xref>
          )
It is quite simple to calculate the magnetic field created by several, for example 1, spheroidal sources
with coordinates , ,  relative to the center of the technical object 0, 0, 0 = 0, 0, 0 and several, for
example 2, spherical sources that compensate for the magnetic field in a given area, with coordinates
 ,  ,  relative to the center of the technical object. For this, we use the superposition principle and
obtain, for example, for the projection
        </p>
        <p>
          1 2
 (, , ) = ∑︁  ( −  ,  −  ,  −  ) + ∑︁  ( −   ,  −   ,  −   ) , (
          <xref ref-type="bibr" rid="ref8">8</xref>
          )
=1 =1
where  is calculated with its parameters , ,  and  calculated with its parameters  , ℎ .
The same is true for other projections.
        </p>
        <p>
          Thus, using formulas (
          <xref ref-type="bibr" rid="ref2">2</xref>
          )–(
          <xref ref-type="bibr" rid="ref4">4</xref>
          ) and (
          <xref ref-type="bibr" rid="ref6">6</xref>
          )–(
          <xref ref-type="bibr" rid="ref8">8</xref>
          ) based on superposition principle, it is possible to calculate
the magnetic field at an arbitrary point in the region outside the spherical and spheroidal sources. The
advantage of these formulas over the known ones [1, 2] are: 1) the projections of the magnetic induction
in the CCS are explicitly written due to taking direct derivatives with respect to the CCS coordinates; 2)
their generalization to the case of the n-harmonic; 3) there is no need to transform from one coordinate
system to another, which is especially important in the case of calculating the MF from several spherical
and spheroidal sources; 4) the relative compactness of the formulas.
        </p>
        <p>
          Verification of the correctness of formulas (
          <xref ref-type="bibr" rid="ref2">2</xref>
          )–(
          <xref ref-type="bibr" rid="ref4">4</xref>
          ) and (
          <xref ref-type="bibr" rid="ref6">6</xref>
          )–(
          <xref ref-type="bibr" rid="ref8">8</xref>
          ) was confirmed by comparison with the
results obtained by taking numerical partial derivatives with respect to the coordinates x, y, z. Another
verification was performed using COMSOL modeling of magnetic field of an ellipsoid of revolution.
The COMSOL model allows specifying direction of ellipsoid magnetization, which made it possible to
verify the correctness of formulas (
          <xref ref-type="bibr" rid="ref1">1</xref>
          )–(
          <xref ref-type="bibr" rid="ref2">2</xref>
          ) for the case of first harmonics.
4. Definition of prediction geometric inverse magnetostatics problems
Prediction problem implies design of mathematical model of magnetic field of technical object based
on experimentally measured values of magnetic field components, as a rule, in near zone of technical
object [15, 16]. The vast majority of mathematical models of magnetic field of various technical objects
— spacecraft, naval vessel and submarines — are multidipole models.
        </p>
        <p>The main advantage of multidipole models is ease of calculating components of magnetic field
generated by each magnetic dipole as a source of magnetic field in rectangular coordinate system
connected to center of technical facility. The main disadvantage of multi-dipole models is large number
of dipoles required to adequately simulate magnetic field of technical object to actually measured values
of magnetic field on magnetodynamic stand. This is especially typical for modeling magnetic field of
elongated energy-saturated technical objects.</p>
        <p>A significant simplification of modeling magnetic field of elongated energy-saturated technical objects
achieved by using elongated spheroidal magnetic field sources in prolate spheroidal coordinate system.
Moreover, to obtain required adequacy of mathematical model to actually measured characteristics of
magnetic field number of elongated spheroidal magnetic field sources may be required tens or even
hundreds of times less compared to number of dipole magnetic field sources [20, 21, 22].</p>
        <p>
          The obtained formulas (
          <xref ref-type="bibr" rid="ref2">2</xref>
          )–(
          <xref ref-type="bibr" rid="ref4">4</xref>
          ) and (
          <xref ref-type="bibr" rid="ref6">6</xref>
          )–(
          <xref ref-type="bibr" rid="ref8">8</xref>
          ) allow us to solve forward problem of magnetostatics. Using
these formulas calculated components of magnetic field induction in CCS at any point in space generated
by spheroidal and spherical sources of MF. Naturally, in this case, coordinates of spatial location of
these MF sources and their harmonics are specified.
        </p>
        <p>The convenience of using these formulas lies in fact that components of projections of resulting MF
in CCS are equal to sums of corresponding projections of magnetic field induction of same in CCS,
generated by all MF spheroidal and spherical sources.</p>
        <p>Consider formulation of geometric inverse problem of design mathematical model of MF based
on results of experimental measurements of magnetic field. Introduce vector G of uncertainties in
magnetic characteristics of technical object, due to inaccurate knowledge of initial values of magnetic
characteristics of blocks of technical object, as well as changes in these magnetic characteristics in
diferent operating modes [ 23, 24, 25]. Typically, magnetic field measurements are carried out in CCS
associated with center of technical object. Let us introduce vector   () of measured magnetic field
components [26, 27].</p>
        <p>
          Consider design of mathematical model of elongated energy-saturated object in form of set of
spheroidal magnetic field sources. Let us introduce vector  of desired parameters components of
which are coordinates of spatial location and spatial harmonics of magnetic field of these spheroidal
magnetic field sources. Then, vector  ( , ) calculated values of magnetic field calculated based on
(
          <xref ref-type="bibr" rid="ref2">2</xref>
          )–(
          <xref ref-type="bibr" rid="ref4">4</xref>
          ) and (
          <xref ref-type="bibr" rid="ref6">6</xref>
          )–(
          <xref ref-type="bibr" rid="ref8">8</xref>
          ).
        </p>
        <p>Then solution of predictions geometric inverse problem of magnetostatics reduced to solution of
vector game [28, 29, 30].
5. Definition of control geometric inverse magnetostatics problems
The problem of controlling the magnetic silence of technical object is design of spatial arrangement
and spatial harmonic sources of compensating magnetic field. With the help of these compensating
magnetic field sources resulting MF of elongated energy-saturated technical object generated in such a
way those stringent requirements for magnetic silence of energy-saturated technical object satisfied.</p>
        <p>Note that the requirements for magnetic silence of technical object are usually imposed in the far
zone. In particular, for military ships and submarines, requirements are imposed on magnitude and rate
of change of magnetic field components at control depth when an object moves at given speed.</p>
        <p>The designed predictive mathematical model of magnetic field of elongated energy-saturated object
calculated based on experimental measurements of magnetic field in near zone. Based on this prediction
model of magnetic field in near zone values of characteristics of magnetic field of technical object
calculated in far zone, which limited to meet requirements of magnetic silence of technical object.</p>
        <p>Introduced uncertainty vector GC of magnetic characteristics of energy-saturated technical object [8,
9]. Then, based on the designed predictive model vector () of initial values of magnetic characteristics
of technical object, which determines its magnetic silence calculated.</p>
        <p>To compensated original magnetic field of technical object introduced dipole sources of compensating
magnetic field. Introduced vector XC of required parameters for solving control geometric inverse
problem of magnetostatics components of which are coordinates of spatial location and spatial harmonics
of compensating dipoles.</p>
        <p>
          Then vector  ( , ) of calculated characteristics of magnetic silence of technical object calculated
based on solution of forward problem of magnetostatics (
          <xref ref-type="bibr" rid="ref6">6</xref>
          )–(
          <xref ref-type="bibr" rid="ref8">8</xref>
          ) for spherical magnetic field sources.
Then solution of control geometric inverse problem of magnetostatics reduced to solution of vector
game [29, 30, 31]:
( ,  ) = ( ) +  ( )
(
          <xref ref-type="bibr" rid="ref9">9</xref>
          )
To calculate payof vector game (
          <xref ref-type="bibr" rid="ref11">11</xref>
          ) it is necessary to repeatedly solved forward problem of
magnetostatics (
          <xref ref-type="bibr" rid="ref6">6</xref>
          )–(
          <xref ref-type="bibr" rid="ref8">8</xref>
          ) for spherical magnetic field sources.
6. Inverse magnetostatics problems solution method
Solutions of both vector games (
          <xref ref-type="bibr" rid="ref10">10</xref>
          ) and (
          <xref ref-type="bibr" rid="ref11">11</xref>
          ) calculated by particle multi-swarm nonlinear optimization
algorithms [28, 29]. Number of swarms calculated by number of components in vectors games (
          <xref ref-type="bibr" rid="ref10">10</xref>
          )–(
          <xref ref-type="bibr" rid="ref11">11</xref>
          ),
so that with help of each swarm solution of scalar game calculated.
        </p>
        <p>Each swarm j contained two types particles i. Position  () and movement velocity  () for first
type particles calculated from conditions of minimizing payof game along vectors  and  of
desired parameters and described by following expressions
 ( + 1) = 1  () + 1 1 () × ( 1 () −  1 ()) [ () − . . .</p>
        <p>[︁ ]︁
. . . −  ()] + 2 2 ()  (2 () − 2 ()) * () −   ()</p>
        <p>( + 1) =  () +  ( + 1)</p>
        <p>
          Moreover, the best local  () and global * () position of particle determined from condition of
minimizing game vector along vectors  and  of desired parameters for games (
          <xref ref-type="bibr" rid="ref10">10</xref>
          ) and (
          <xref ref-type="bibr" rid="ref11">11</xref>
          )
respectively.
        </p>
        <p>Position  () and movement velocity  (),  () for second type particles calculated from
conditions of minimizing payof game along vectors  and  of magnetic characteristics uncertainty and
described by following expressions
 ( + 1) = 2  () + 3 3 ()  (3 () −  3 ()) [ () −</p>
        <p>[︁
. . . + 4 4 ()  (4 () −  4 ()) * () − 
 ()
]︁</p>
        <p>()] + . . .</p>
        <p>
          ( + 1) =   () +  ( + 1)
Moreover, the best local  () and global * () position of particle calculated from condition of
minimizing game vector along vectors  and  of magnetic characteristics uncertainty for games (
          <xref ref-type="bibr" rid="ref10">10</xref>
          ) and
(
          <xref ref-type="bibr" rid="ref11">11</xref>
          ) respectively.
        </p>
        <p>
          To narrow Pareto set of optimal solutions in (
          <xref ref-type="bibr" rid="ref10">10</xref>
          )–(
          <xref ref-type="bibr" rid="ref11">11</xref>
          ) binary preference relations of local games used
[30].
(
          <xref ref-type="bibr" rid="ref10">10</xref>
          )
(
          <xref ref-type="bibr" rid="ref11">11</xref>
          )
(
          <xref ref-type="bibr" rid="ref12">12</xref>
          )
(
          <xref ref-type="bibr" rid="ref13">13</xref>
          )
        </p>
      </sec>
    </sec>
    <sec id="sec-2">
      <title>7. Simulation results</title>
      <p>Let us consider the results of magnetic field modeling of elongated energy-saturated technical object
200 m long and 40 m wide, for which the magnetic silence requirements are set at a control depth of 19
m and 60 m. The initial magnetic field was modeled using 16 dipole sources of the technical object’s
magnetic field, the measurement of which was performed at 909 points.</p>
      <p>
        For this example, we will consider checking the correctness and eficiency of applying formulas (
        <xref ref-type="bibr" rid="ref2">2</xref>
        )–(
        <xref ref-type="bibr" rid="ref4">4</xref>
        )
and (
        <xref ref-type="bibr" rid="ref6">6</xref>
        )–(
        <xref ref-type="bibr" rid="ref8">8</xref>
        ). We will check the correctness and eficiency of the formulas on the values of spherical and
spheroidal harmonics obtained as a result of optimization.
      </p>
      <p>
        These values were obtained on the basis of solving the prediction of the geometric inverse problem
of magneto static’s by minimizing the sum of the squares of the diferences in the projections of the real
magnetic field and the magnetic field models: for spheroidal (
        <xref ref-type="bibr" rid="ref2">2</xref>
        )–(
        <xref ref-type="bibr" rid="ref4">4</xref>
        ) and spherical (
        <xref ref-type="bibr" rid="ref6">6</xref>
        )–(
        <xref ref-type="bibr" rid="ref8">8</xref>
        ) MF sources up
to and including the third harmonics.
      </p>
      <p>The results of calculating the signatures of initial MF (solid lines) with models based on spheroidal
(dotted lines) and spherical (dash-dotted lines) harmonics for projections  – red,  – green,  –
blue are shown in Figure 2 – Figure 4, respectively, for three cases: Y = -20 m, Y = 0 m and Y = 20 m.
Since the technical object is extended, the magnetic field model based on spheroidal harmonics gives
better results in approximating the original magnetic field.</p>
      <p>
        The correctness of formulas (
        <xref ref-type="bibr" rid="ref6">6</xref>
        )–(
        <xref ref-type="bibr" rid="ref8">8</xref>
        ) for spherical harmonics verified by comparing them with the
results obtained by taking numerical partial derivatives with respect to the coordinates x, y, z. The
results of these calculations are practically identical.
      </p>
      <p>
        In the case of spheroidal harmonics, the diference in the calculation speed between the analytical
and numerical methods is not as pronounced as for spherical ones, but it still takes place – by 4 or
more times. Moreover, in all cases, with an increase in the order of the harmonic, this diference only
increases. Let us now proceed to checking the correctness of formulas (
        <xref ref-type="bibr" rid="ref2">2</xref>
        )–(
        <xref ref-type="bibr" rid="ref4">4</xref>
        ).
      </p>
      <p>The results of comparing the calculation using these formulas with the results calculated by taking
numerical partial derivatives with respect to the coordinates x, y, z are also consistent and difer by a
deviation of about 10÷11 nT.</p>
      <p>Another way of checking is to consider the magnetic field of a dipole and a spheroid (the case of the
1st harmonic) with an equivalent magnetic moment at large distances from the source.</p>
    </sec>
    <sec id="sec-3">
      <title>8. Conclusions</title>
      <p>Computational technology for prediction and control by uncertain extended energy- saturated object
developed based on development and application of method of analytical calculation of induction of
magnetostatics fields of spherical and spheroidal sources in the Cartesian coordinate system based
on near-field measurements. Unlike known methods developed method allows calculated magnetic
ifeld directly in Cartesian coordinate system without finding magnetic induction projection in prolate
spheroidal coordinate system and spherical coordinate system and without their translation from prolate
spheroidal coordinate system and spherical coordinate system in Cartesian coordinate system and vice
versa.</p>
      <p>Forward problems of magnetostatics solved based on developed method of analytical calculation of
magnetostatics field induction of spherical and spheroidal sources in Cartesian coordinate system based
on near-field measurements. Geometric inverse problems of magnetostatics for solving prediction and
control problems of magnetic silence of technical object calculated based on vector games solution.
Both vector games payof calculated as forward problems solutions Wolfram Mathematica software
package used.</p>
      <p>The possibility of a more than 10 times calculation time reduction of magnetic field induction of
magnetic field elongated spheroidal sources and the possibility of a more than 4 times calculation
time reduction of magnetic field induction of magnetic field spherical sources when magnetic field
calculating of uncertain extended energy-saturated object based on development and application of
analytical calculation method of magnetostatics field induction of spherical and spheroidal sources in
the Cartesian coordinate system shown based on near-field measurements.</p>
    </sec>
    <sec id="sec-4">
      <title>Declaration on Generative AI</title>
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