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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Using a Model of Coordinated Interaction for Estimation of Troops Joint Missions Effectiveness</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Dmytro Rieznik</string-name>
          <email>rieznikdv@gmail.com</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Mykhailo Levchenko</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Valerii Patalakha</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Serhii Kitik</string-name>
          <email>kitiksv@gmail.com</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Bohdan Shkurat</string-name>
          <email>bshkurat@gmail.com</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Oleksandr Globa</string-name>
        </contrib>
      </contrib-group>
      <abstract>
        <p>The paper is dedicated to the possibility of using interaction model, based on idea of troops efforts coordination, which considers the interests not only of control subsystems (command center), but also the interests of active subsystems (combat elements), for their effectiveness estimation and optimal air defense system structure choosing. To achieve the interaction process harmonization the study of control subsystems stimulating impacts is required to compensate for the loss of active elements. The additional (synergistic) effect received by the system and elements in combined interactions is studied, as well as the loss of each element while general task performing. It is shown that the implementation of coordinated interactions in the system is possible only if the additional (synergistic) effect of all its elements exceeds their losses, and if the additional (synergistic) effect is less than the losses, the interaction inside the system with certain parameters is not effective, so its elements must carry out their missions separately from each other.The theoretical basis for solving problems of coordinated interaction is the theory of active systems and set theory.</p>
      </abstract>
      <kwd-group>
        <kwd>1 Interaction efficiency</kwd>
        <kwd>coordinated interaction</kwd>
        <kwd>combat element</kwd>
        <kwd>joint mission</kwd>
        <kwd>stimulating effect</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        In modern warfare, a very important role is
given to the fight against the enemy aircraft, the
task of which is entrusted to the air defense system
(AD System). The main task of the air defense
system is the destruction of enemy aircraft attack,
gaining and maintaining air superiority,
protection from air strikes of groups of troops
(forces), arsenals, bases, warehouses, airfields,
naval bases, industrial areas, administrative and
political centers, etc. [
        <xref ref-type="bibr" rid="ref3 ref8">3, 8</xref>
        ].
      </p>
      <p>
        Therefore, special attention is paid to the
organization of interaction between the Air
Defense Aircraft (AD Aircraft) and the Air
Defense Artillery (ADA) in order to make the
most complete and effective use of their combat
capabilities, as well as ensuring mutual security of
their troops (forces) in performing tasks [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ] to
repel enemy air strikes.
      </p>
      <p>
        Interaction is a managerial activity that is able
to create a cohesive and invincible force from a
handful of disparate parties that is self-learning
and continuously improving [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ].
      </p>
      <p>
        Interaction is one of the basic principles of
martial arts. It reflects the objective pattern of
mutual influence of all troops and forces involved
in the operation [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ].
      </p>
      <p>
        The problem of the interaction organizing
between the AD Aircraft and the ADA is very
sophisticated, as the nature of hostilities and
methods of combat use of troops are
interdependent. In addition, the effectiveness of
AD combat operations depends on the scale and
nature of the enemy's air defenses, the operational
construction of covered troops, combat
composition and combat capabilities of
interacting forces and means, meteorological
conditions, time of day and so on. All of this must
be taken into account during the organization and
implementation of interaction [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ].
      </p>
      <p>Therefore, it is necessary to integrate the
elements of the air defense system, taking into
account the consistency of their interests. This
question can be assessed by using the synergetic
theory of systems analysis.</p>
      <p>
        The integration of AD aircraft with GBAD in
one zone, according to the synergetic theory, has
an additional systemic effect - emergence [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. To
increase the combat effectiveness, it is necessary
to increase this system effect, which is expressed
in the coefficient of interaction, by choosing the
optimal (in certain conditions) method
ofinteraction. But it is possible to increase only
what can be measured, so it is necessary to have a
comparative assessment of the effectiveness of
the interaction between AD Aircraft and ADA.
      </p>
      <p>The task of synthesis of the interaction process
is to choose individual or a set of its components
from the standpoint of the criterion of efficiency
of the active system, namely: the target functions
of different levels elements, procedures for
forming plans, mechanisms for evaluating
activities. However, in real combat conditions,
often the choice of only the functions of
stimulation or only the change of the functioning
parameters of the elements does not provide a
coordinated interaction between the elements in
the system.</p>
      <p>
        This is due to the fact that the stimulation
functions and parameters can vary in a certain
limit, and this does not allow to fully reconcile the
interests of the elements in the system [
        <xref ref-type="bibr" rid="ref2 ref7">2, 7</xref>
        ].
Therefore, there is a problem of simultaneous
selection of such stimulus functions and values of
parameters change, which provide the
coordinated, and, consequently, effective system
functioning.
      </p>
      <p>
        The papers of many specialists are devoted to
the issues of combat effectiveness assessing in
general and interaction directly, as well as the
search for effective forms of its implementation.
[
        <xref ref-type="bibr" rid="ref1 ref2">1, 2</xref>
        ] But, despite the interest of many interaction
researchers, the search for effective forms of its
implementation and evaluation, the problem of
assessing its effectiveness is not completely
solved. Modern research modeling the process of
interaction is mainly carried out in the field of
economics [
        <xref ref-type="bibr" rid="ref10 ref4 ref7 ref9">4, 7, 9, 10</xref>
        ], in the military sphere, the
process of interaction is seen as a creative process
of the commander, but with increasing input data,
their rapid changes and reducing the space of
interaction - there is a need to support
commander's decision-making process for
coordination the interests of all elements of
interaction. The direction of research of the active
systems coordinated interaction process is
insufficiently studied.
      </p>
      <p>Therefore, further developing of active
systems coordinated management methods is
important, basing on the simultaneous definition
of incentive functions and variables, the
implementation of which provides each element
of additional effect that compensates for possible
losses in the implementation practice of the
higher-level element plan in the management of
real combat systems.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Methods</title>
      <p>The following methods were used in the
research: analysis of theoretical sources based on
the organization of interaction problems, study
and generalization of best practices in the
organization of interaction between the elements
of active systems and the method of synthesis.</p>
      <p>
        To analyze the costs required to reconcile the
interests of the elements in the system, it is
possible to develop a unified approach. The article
investigates the additional (synergetic) effect that
the system and its elements receive due to
coordinated interaction, as well as the loss of each
element while performing a common task.
However, the implementation of coordinated
interaction in the system is possible only if the
additional (synergistic) effect of all elements of
the coordinated interaction exceeds their losses. If
the additional (synergetic) effect is less than the
losses, then the coordinated interaction in the
system at these parameters is inefficient and the
elements must perform their missions separately
[
        <xref ref-type="bibr" rid="ref6">6</xref>
        ].
      </p>
      <p>The study of coordinated interaction is carried
out on the model of a multi-element system. The
model studied in the article includes the
upperlevel control subsystem - the command center and
the lower-level controlled subsystems - active
combat elements from the ADA and AD Aircraft
participating in combat operations according to a
single plan. The command center coordinates the
work of the elements by giving them a plan,
missions and incentives (comprehensive support),
and
active
combat
elements
carry
out the</p>
    </sec>
    <sec id="sec-3">
      <title>3. Results</title>
      <p>The following concepts and designations
necessary for formation of conditions of the
coordinated interaction between the command
center and combat elements are entered:
∈  – planned state of the nth combat element,  =
 ∈  – the actual state of the nth combat element;
= ( 1, … ,   ) ∈</p>
      <p>– the vector of combat
elements planned states set by the command
 = ( 1, … ,   ) ∈ 
elements actual states;</p>
      <p>=1   – the set of allowable values of the
combat elements states;
  (  ) ∈  – the objective function of nth combat
– the vector of combat
 ( ) = ( 1( 1), … ,   (  )) ∈ 
combat elements objective functions;
– the vector of

 = ∏</p>
      <p>=1  
elements objective functions;</p>
      <p>– the set of values of the combat
locally-optimal states of the nth combat element;
  ∈   (  ) – the
set of
 =1   (  ) – the set of the system
locally-optimal states;
of the objective function for the nth combat
  ∈   (  ) – the maximum value
combat</p>
      <p>element
∆  (  ) =   (  )−   (  )
associated</p>
      <p>with
–losses
of
implementation of the command center plan;
nth
the


 
̅1̅,̅̅̅;
center;</p>
      <p>= ∏
element;
  (  ) =</p>
      <p>( ) = ∏
  (  ) = 
element;
– the command center objective
coordinated interaction;
 ( ,  ,  ) =  ( )− 
( ,  ,  )– the command</p>
      <p>=1   (  ,   ), moreover, the set of stimulating
effects
that
provides the
maximum
of the
objective function of the nth combat element is
expressed as:
  (  ,   )
= {   (  ,   ) ∈   |∀  ∈   , },</p>
      <p>(  ,   ,   ) ≥    (  )
and
  (  ,   ) ∈   – stimulating effect obtained by
nth combat element (see Figure 1), where   – the
allowable set of stimulating effects functionson
nth combat element;
 ( ,  ) = ( 1( 1,  1), … ,   (  ,   )) ∈  – the
vector of stimulating effects, where  – the set of
its types;
  (  ,   ,   ) =   (  )+ ∆  (  ,   ,   ) – the
objective function of nth combat element including
(supply) in
the  -th
plan
∆  (  ,   ,   )– change in the nth combat element
objective function, caused by the stimulating
its</p>
      <p>stimulation
implementation;
effect;
 ( ) ∈ 
 ( ) = 
function and its possible values set  ;
command center objective function;
 ∈  ( )– maximum value of the</p>
      <p>( )– the set of the system optimal
 ( ) = 
plans as a whole;
 ( ) =</p>
      <p>∈ ( )  ( )– the value of the
command center objective function on the set of
locally optimal states of its elements;</p>
      <p>( ) =  ( )−  ( )– additional (synergetic)
effect obtained by the command center from the
will take the form:
 ( ,  ,  ) = {
 ( ,  ) ∈  |∀ ∈  ,

( ) ≥ 
( ,  ,  )
}.</p>
      <p>The set of interaction mechanisms, therefore,
must be selected both in terms of the command
center objective function, and in terms of the
combat elements objective functions. For this
purpose, the intersection of the stimulating
influences sets coordinated on the general plan
from a position of objective functions of combat
elements  ( ,  )is necessary, as well as the set of
command
0.
functions ( ,  ,  )that is  ( ,  )
supply of troops, or stimulating actions can be
implemented indirectly, by changing the various
parameters of the combat elements operation
models, for example, by redistributing targets
between combat elements.</p>
      <p>When
used</p>
      <p>as
compensatory stimulation functions, the combat
elements objective functions will be as follows:
stimulating
effects,
  (  ,   ,   ,   ) =   (  ,   )+
  (  ,   )
(3)
The value
  (  ,   ) = {  (  ),</p>
      <p>=  
0,  

≠  
is a stimulating effect obtained by nth combat
element in the case of the command center
planned missions</p>
      <p>∈   (  ).</p>
      <p>In this case, the set of stimulating functions
combat elements, will be as follows:
  (  )which take into account the interests of
  ( ) = {
 ( )|  (  ) ≥    (  ),
 
∈   (  )
}.</p>
      <p>(4)</p>
      <p>And a set of stimulating functions that take
into account the interests of the command center
will look like:

 ( ) = { ( )|
( ) ≥</p>
      <p>∑   (  ) ≥ 0}. (5)</p>
      <p>For the case when the stimulation is carried out
by
parametric
coordination,
the
vector
of
coordinating parameters for each combat element
is presented as:
  (  ,   ) =</p>
      <p>+    (  ,   ),
where    – nominal value of the parameter;
(6)

 =1
   (  ,  ) = {
   ,</p>
      <p>=  
0,</p>
      <p>≠</p>
      <p>Moreover
component of the</p>
      <p>parameter, which is the
coordinating influence of the command center on
the nth combat element (  =    ).
the objective function of nth combat element,
which takes to account parametric coordination in
the implementation of various states  , where
–
variable
   (  ,  ,    ) = {
   (  ,  
 ),</p>
      <p>=  
0,  
 ≠  
–
change in the objective function of the nth
command element, caused
by changing the
parameters
by the
value of    during
the
implementation of the combat element planned
task   .</p>
      <p>The set of coordinating influences   ( ), takes
into account the interests of combat elements and
must meet the following ratio:
where rn , rn – the lower and upper values of
changing of the coordinating parameter for the nth
combat element.</p>
      <p>And the set of coordinating influences that take
into account the interests of the command center
   ( )</p>
      <p>(
= {  
 (  ,   )
  
∈  |   ≤    ≤    ,
,    ) ≥    (  )
} ,
(7)</p>
      <p>∈  |   ≤    ≤    ,
( ) ≥
∑ (

 =1
   ( ,  )
  
,    )
}
.</p>
      <p>(8)</p>
      <p>To implement coordinated interaction, it is
necessary
that
many
   (  )},
 = ( ,  )|
{
and the set of incentives that take into account the
interests of the command center is equal to:
  ( ) =
+ ∑ =1   (  )</p>
      <p>Implementation of the coordinated interaction
mechanism in the system is possible if:
  ( )   ( ) ≠ 0 (13)
( ) ≥ (  ( , ),  ) +
}.</p>
      <p>(12)</p>
    </sec>
    <sec id="sec-4">
      <title>4. Conclusions</title>
      <p>The choice of the coordinated interaction
model will provide an opportunity to assess the
excess of additional (synergistic) effect of all
system elements over their losses and the ability
to calculate the effectiveness of interaction for the
rational choice of its methods and
implementation. That gives following
opportunities:</p>
      <p>- it is possible to predict the final result of joint
actions taking into account the impact of the
options of the organization of interaction of troops
and their combat elements, in order to choose the
best option of interaction;</p>
      <p>- the influence of control and feedback with
combat elements on the result that can be achieved
is determined.</p>
      <p>Depending on the available time and the
required accuracy of the results, the computing
power of simulation systems, the proposed model
may take into account more factors, or vice versa,
may be simplified to obtain a rougher but faster
forecast of the results of troops joint actions.</p>
    </sec>
    <sec id="sec-5">
      <title>5. Acknowledgements</title>
      <p>This paper was created at the Anti-Aircraft
Missile Troops Department of Aviation and Air
Defense institute by Dmytro Rieznik, Mykhailo
Levchenko, Valerii Patalakha, Serhii Kitik,
Bohdan Shkurat and Oleksandr Globa.</p>
    </sec>
    <sec id="sec-6">
      <title>6. References</title>
    </sec>
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