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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Equilibrium State Stabilization of the Hamilton Systems with Quality Estimate of Control?</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Alena A. Mukhametzyanova</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Sergey P.</institution>
          <addr-line>Bezglasnyi</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Ulyanovsk State University</institution>
          ,
          <addr-line>Ulyanovsk</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The problem of stabilizing the zero solution of a nonautonomous Hamiltonian system with guaranteed estimation of the quality of control is solved. This problem arises from the problem of optimal stabilization by minimizing the requirements for the functional: instead of minimizing it, it is necessary only that it does not exceed a predetermined estimate. The solution is obtained by synthesizing the active program control, applied to the system, and stabilizing the control based on the feedback principle. The problem is solved analytically on the basis of the Lyapunov direct method of stability theory using the Lyapunov function with sign-constant derivatives. As examples, problems on the synthesis and stabilization of program motions of a homogeneous variable-length rod and a mathematical pendulum of variable length in a rotating plane are solved.</p>
      </abstract>
      <kwd-group>
        <kwd>controlled mechanical system</kwd>
        <kwd>equilibrium state</kwd>
        <kwd>limiting functions</kwd>
        <kwd>stabilization</kwd>
        <kwd>Lyapunov's function</kwd>
        <kwd>quality estimate</kwd>
        <kwd>computer modeling</kwd>
        <kwd>math modeling</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>The problems of controlled motions of mechanical systems are relevant and
attract the attention of many researchers. The problem of constructing and
investigating the properties and stability conditions of such motions was considered in
the works of many scientists, for example [14, 16, 18, 20, 21]. As a rule, ensuring
the asymptotic stability of the solution of the problem reduces to
investigating the zero solution of the non-autonomous system [6] and is carried out on
the basis of the direct Lyapunov method [17]. The method of limit systems [5]
and its modification [3] allow using the Lyapunov functions with constant-sign
derivatives to significantly expand the class of functions used to construct the
? This work was supported in the framework of the national tasks of the Ministry of</p>
      <p>Education and Science of the Russian Federation (project no. 9.5994.2017-БЧ).
desired controls in closed analytic form in the class of continuous functions. This
method has proved itself well in solving problems of constructing given motions
of mechanical systems, and with its help only at the Samara State Aerospace
University a lot of problems were solved by a group of authors on the construction of
asymptotically stable program motions: a rigid body on a moving platform [8], a
double pendulum variable length with a movable suspension point [13], the arms
of the robot manipulator [9], a free gyrostat with variable moments of inertia,
depending on the time [7], spherical motions of the satellite a circular orbit [10]
fixed-rotor motions gyrostat with polostyu1 filled with a viscous liquid [12].</p>
      <p>In many problems, in addition to stabilizing movements, it is important to
assess the quality of the transient process, given by some quality functional that
requires optimization [15]. A wide range of researchers have found the problems
of optimal stabilization, for example [1, 19]. In [4], a formulation was given and
sufficient conditions were obtained for the problem of stabilizing the zero solution
of non-autonomous systems with a guaranteed estimate of the quality of control
arising from the optimal problem.</p>
    </sec>
    <sec id="sec-2">
      <title>This method can be used for mathematical and computer modeling of economic systems.</title>
      <p>2</p>
      <sec id="sec-2-1">
        <title>Problem Formulation</title>
        <p>The governed mechanical system is considered. Its motion is described by
Hamilton’s equations:
where q = (q1; : : : ; qn)T , n-dimensional vector of generalized coordinates in a
real linear space Rn, with norm k k</p>
        <p>q , p = (p1; : : : ; pn)T , n-dimensional vector
of generalized linear momentum, p 2 Rn with norm kpk and H(t; q; p) is the
Hamiltonian of the system, u(t; q; p) 2 U are forces of control action. Sign T
means transpose operation.</p>
        <p>
          It is assumed that system (
          <xref ref-type="bibr" rid="ref1">1</xref>
          ) has trivial solution q = p = 0 for u 0.
        </p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>Let control quality estimation of this system be equal to (1) (2)</title>
    </sec>
    <sec id="sec-4">
      <title>This is done for transferring process with control u[t] and trajectory x[t] of system (1).</title>
    </sec>
    <sec id="sec-5">
      <title>Integrated function W [t; x; u], defining quality control estimation (2) of process x[t] is continuous non-negative function defined on whole motion area in general. We will give three diverse types of system stabilization problem.</title>
      <p>q_ =
p_ =
;
+ u;</p>
    </sec>
    <sec id="sec-6">
      <title>Problem of stabilization. The solution of the stabilization problem is to find</title>
      <p>
        such control actions u = u0(t; q; p) of all u(t; q; p) 2 U . These effects ensure the
asymptotic stability of the unperturbed motion q = p = 0 of the system (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ).
      </p>
      <p>
        The problem of optimal stabilization is obtained from the previous problem
under the condition of a minimum of the quality criterion (
        <xref ref-type="bibr" rid="ref2">2</xref>
        ) and consists in
finding such control actionsu = u0(t; q; p) of all u(t; q; p) 2 U . This control ensures
asymptotical stability of non-perturbed motion q = p = 0 of the system (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ).
      </p>
      <p>An equation satisfied for any other control action u = u (t; q; p) 2 U , ensuring
asymptotical stability of solution q = p = 0:</p>
      <p>I0 =</p>
      <p>W (t; q0[t]; p0[t]; u0[t]) dt</p>
      <p>W (t; q [t]; p [t]; u [t]) dt = I
for t0 0, q0(t0) = q (t0) = q0, p0(t0) = p (t0) = p0.</p>
    </sec>
    <sec id="sec-7">
      <title>The problems of stabilization and optimal stabilization were posed by</title>
    </sec>
    <sec id="sec-8">
      <title>N. N. Krasovsky in work [15].</title>
      <p>
        The problem of optimal stabilization of motion of a controlled system on
an infinite time interval reduces to finding the optimal Lyapunov function and
optimal control actions satisfying the Bellman partial differential equation. This
equation must be solved taking into account the additional inequality. The result
is a rather difficult task. In this paper, we study a variable formulation of the
problem of stabilization of motion-stabilization with a guaranteed estimate of
the quality of control. It arises from the problem of optimal stabilization when
the requirement for the functional is weakened: it is not necessary to minimize
it, it is only necessary that it does not exceed some estimate [4].
Definition. Control action u = u0(t; q; p) is called stabilizing with guaranteed
estimate of the control quality P (t; q; p) if it ensures asymptotical stability of
non-perturbed motion q = p = 0 of system (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ). The following condition satisfied
for any controlled motions q0[t], p0[t], q0(t0) = q0, p0(t0) = p0:
      </p>
    </sec>
    <sec id="sec-9">
      <title>According to this definition, we place the problem of stabilization with a</title>
      <p>
        guaranteed estimate of the quality of control of Hamiltonian systems: to find
control action u = u0(t; q; p) among all u(t; q; p) 2 U . The control action should
ensure asymptotical stability of non-perturbed motion q = p = 0 of system (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ).
      </p>
    </sec>
    <sec id="sec-10">
      <title>The inequality (3) inequality is satisfied for any controlled motion.</title>
    </sec>
    <sec id="sec-11">
      <title>The above statement of the problem due to the weakening of the requirement of minimization of the functional (2) makes it possible to simplify the problem [15] and substantially extend the class of solvable problems in comparison with the problem of optimal stabilization.</title>
      <p>Lyapunov’s function V = V (t; x) and Bellman function</p>
      <p>B[V; t; x; u] =
+</p>
      <p>T</p>
      <p>X(t; x; u) + W (t; x; u);
where x = (q; p)T is still important for getting solution of this problem.</p>
      <p>
        Variables q, p can be considered as deviations from trivial solution q = p = 0
because we are investigating stabilization problem of zero solution of system (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ).
Equations system (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ) is equations of perturbed motion. This will allow us to
apply to methods of stabilization with a guaranteed estimation of the quality
of control of Hamiltonian systems methods and results developed to study the
stability and stabilization of the zero equilibrium position of non-autonomous
systems [4].
      </p>
    </sec>
    <sec id="sec-12">
      <title>We will consider classical systems with Hamiltonian:</title>
      <p>H = 1 pT Ap + U (t; q);</p>
      <p>
        2
where A = A(t; q) is the symmetric coefficient matrix of non-negative quadratic
form with variables p. Equations of perturbed motion (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ) will be written,
considering the Hamiltonian (
        <xref ref-type="bibr" rid="ref5">5</xref>
        ):
      </p>
      <p>V_ =</p>
      <p>T
=
p_ +</p>
      <p>T
q_ +</p>
    </sec>
    <sec id="sec-13">
      <title>We choose stabilizing control in form:</title>
      <p>u0 =</p>
      <p>Cq</p>
      <p>T
(q_ = Ap;
p_ =</p>
      <p>
        Derivation of Stabilizing Control
(
        <xref ref-type="bibr" rid="ref5">5</xref>
        )
(
        <xref ref-type="bibr" rid="ref6">6</xref>
        )
(
        <xref ref-type="bibr" rid="ref7">7</xref>
        )
(
        <xref ref-type="bibr" rid="ref9">9</xref>
        )
We assume that C is the positive-definite, symmetric, not disappearing, limited
matrix:
      </p>
      <p>A0E</p>
      <p>C</p>
      <p>A1E;
0 &lt; A0 &lt; A1
const;
where E is the identity matrix.</p>
    </sec>
    <sec id="sec-14">
      <title>Positive-definite on variables p and q Lyapunov’s function is considered [11].</title>
    </sec>
    <sec id="sec-15">
      <title>It admits of an infinitesimal upper bound.</title>
      <p>V (t; q; p) = 1 pT Ap + 1 qT Cq:
2 2</p>
    </sec>
    <sec id="sec-16">
      <title>The total derivative on time of Lyapunov’s function by system (6) will take the form:</title>
    </sec>
    <sec id="sec-17">
      <title>Wherein the total derivative on time (8) of Lyapunov’s function by system (10) will take the form:</title>
      <p>V_ = pT AT
+
= pT AT
p</p>
      <p>T
Cq
A 1Dp
+</p>
      <p>T
p +</p>
    </sec>
    <sec id="sec-18">
      <title>We discard the terms of the third order on variables p:</title>
      <p>_
V
pT</p>
      <p>D</p>
      <p>
        Basic Results
where D = D(t) is the symmetrical, positive-definite, n n matrix. If we will
add forces (
        <xref ref-type="bibr" rid="ref9">9</xref>
        ) to system (
        <xref ref-type="bibr" rid="ref6">6</xref>
        ), we have equations of controlled motion:
      </p>
      <p>Cq</p>
      <p>A 1Dp:
Basic results about stabilization of the Hamilton systems with quality estimate
of zero solution q = p = 0 are the following statements.</p>
      <sec id="sec-18-1">
        <title>Statement 1. Let’s suppose:</title>
        <p>
          1. A and C do not depend on t. That is, the conditions @@At = 0, @@Ct = 0 are
satisfied;
2. B[V; t; p; q; u0(t; p; q)] 0:
Then control (
          <xref ref-type="bibr" rid="ref9">9</xref>
          ) is stabilizing for motion q = p = 0 of system (
          <xref ref-type="bibr" rid="ref6">6</xref>
          ) with the
guaranteed quality estimate:
        </p>
        <p>P (t0; q0; p0) = V (t0; q0; p0) = 12 p0T A(q0)p0 + 12 q0T Cq0:
_
V</p>
        <p>pT Dp</p>
        <p>
          The function V is positive-definite on variables q, p and the derivative V_ ,
according to (13), is negative-definite only on variable p. Then the solution q =
(
          <xref ref-type="bibr" rid="ref10">10</xref>
          )
(
          <xref ref-type="bibr" rid="ref11">11</xref>
          )
(12)
(13)
p = 0 is asymptotically stable by the theorem on asymptotic stability zero
solution of non-autonomous system [3]. The matrixes A, C are limited. p !
0, q ! 0 are satisfied under t ! 1. Then we have estimate for Lyapunov’s
function V :
V_ , according to 2. We integrate this expression
(14)
(15)
tu
Further, we take the limit by t ! 1:
        </p>
      </sec>
    </sec>
    <sec id="sec-19">
      <title>The statement is proved.</title>
      <sec id="sec-19-1">
        <title>Statement 2. Let’s suppose:</title>
        <p>1. @@At = 0, @@Ct &lt; 0,
2. B(V; t; p; q; u0(t; p; q))</p>
        <p>0.</p>
        <p>
          Then the control (
          <xref ref-type="bibr" rid="ref9">9</xref>
          ) is stabilizing for motion q = p = 0 of system (
          <xref ref-type="bibr" rid="ref6">6</xref>
          ) with the
guaranteed quality estimate (12).
        </p>
        <p>
          Remark 1. The proof of statement 2 is like the proof of statement 1. The
difference is that derivative of the function (
          <xref ref-type="bibr" rid="ref7">7</xref>
          ), according to (
          <xref ref-type="bibr" rid="ref11">11</xref>
          ) and conditions
@@Ct &lt; 0 is negative-definite on variables q, p. Then the solution q = p = 0 is
asymptotically stable by the Lyapunov’s theorem on asymptotic stability.
Statement 3. Let’s suppose the conditions are satisfied:
        </p>
        <p>
          0:
Then the control (
          <xref ref-type="bibr" rid="ref9">9</xref>
          ) is stabilizing for motion q = p = 0 of system (
          <xref ref-type="bibr" rid="ref6">6</xref>
          ) with the
guaranteed quality estimate (12).
        </p>
        <p>Statement 4. Let’s suppose the conditions are satisfied:</p>
        <p>Remark 2. The proofs of statements 3, 4 are like the proofs of statements 1, 2
respectively.
5</p>
        <p>Stabilization of Homogeneous Rod’s Motion
We consider a homogeneous heavy rod. The rod length is variable. A rod mass is
m = 1. The rod moves without friction in the plane Oxy. The plane Oxy rotates
with a constant angular velocity ! around a fixed vertical axis Oy (Fig. 1).</p>
        <p>
          We chose program motion. Suppose that center mass of system moves on the
circle with radius R = 1. The center of a circle lies in the point O (
          <xref ref-type="bibr" rid="ref2 ref2">2, 2</xref>
          ). The rod
rotates in the plane Oxy around the center mass with constant angular velocity
!0 = const:
&gt;8" = cos t + 2;
&lt;
        </p>
        <p>= sin t + 2;
&gt;
:</p>
        <p>= !0t:</p>
        <p>We construct equations of controlled rod motion. We obtained the equations
of perturbed motion by introducing deviations:
8&gt;q_1 = p1
&gt;
&gt;&gt;&gt;q_2 = p2;
&gt;
&gt;
&gt;&lt;q_3 = kp32 ;
&gt;&gt;p_1 = !2q1;
&gt;&gt;&gt;&gt;p_2 = 0;
&gt;
&gt;:p_3 =</p>
        <p>!2k2 sin q3 cos(q3 + 2!0t):</p>
      </sec>
    </sec>
    <sec id="sec-20">
      <title>Suppose that quality estimate of transition process is given by the functional (2) with integrand</title>
      <p>W (t; q; p) = d1p12 + d2p22:
It satisfies condition 3 of statement 3. We set the problem of stabilization zero
solution q = p = 0 of disturbed motion set of equations with guaranteed quality
estimate of the control for the proposed motion.</p>
    </sec>
    <sec id="sec-21">
      <title>We chose the Lyapunov’s function:</title>
      <p>V =
&gt;&gt;p_1 =
&gt;&gt;&gt;&gt;p_2 =
&gt;
&gt;:p_3 =
c1q1
c2q2
c3q3
d1p1;
d2p2;
k2d3p3:</p>
      <p>We have asymptotically stable solution q = p = 0 with guaranteed quality
estimate by statement 3:
P (t0; q0; p0) = V (t0; q0; p0) =</p>
      <sec id="sec-21-1">
        <title>Conclusion</title>
        <p>
          In this paper, the problem of determining the control stabilizing the motion of a
mechanical system described by Hamilton’s equations is formulated and solved
with the additional condition of finding an assured estimate of the quality of
control. The solution of the problem is reduced to the investigation of the zero
solution of the nonautonomous system and was carried out on the basis of the
direct Lyapunov method with the use of the method of limit systems, which
made it possible to use the Lyapunov functions with sign-constant derivatives to
construct the desired control in a closed analytic form in the class of continuous
functions. Four statements that solve the problem are formulated and proved.
Based on the results obtained, two illustrative examples are solved. The results
of the work develop and generalize the corresponding results of [2, 4, 6, 11].
12. Bezglasnyi, S.P., Mukhametzyanova, A.A.: Gravitational stabilization and
reorientation of a dumbbell shaped artificial satellite on the principle of swing in a circular
orbit., pp. 265–268 (2016)
13. Bezglasnyi, S.P., Piyakina, E.E.: Parametric control of maneuver of a space tether
system. Cosmic Research 53(
          <xref ref-type="bibr" rid="ref4">4</xref>
          ), 323–329 (2015)
14. Chernous’ko, F.L., Anan’evskiy, I.M., Reshmin, S.A.: Methods of control of
nonlinear mechanical systems. Fizmatlit, Moscow (2006)
15. Krasovskii, N.N.: Some problems of theory of stability of motion. Addition to the
book Malkin, I.G.:Theory of Stability of Motion. Nauka, Moscow (1965)
16. Letov, A.M.: Flight Dynamics and Control. Nauka, Moscow (1969)
17. Malkin, I.G.: Theory of Stability of Motion. US Atomic Energy Commission,
Washington (1952)
18. Ortega, R., Loria, A., Kelly, R.: A semi-globally stable output feedback PI2D
regulator for robot manipulators. Automatic Control, IEEE Transactions on 40,
1432–1436 (1995)
19. Rumyantsev, V.V.: About optimal stabilization of controllable systems. Journal of
        </p>
        <p>
          Applied Mathematics and Mechanics 3, 440–456 (1970)
20. Santiban˜ez, V., Camarillo, K., Moreno-Valenzuela, J., Campa, R.: A practical PID
regulator with bounded torques for robot manipulators. International Journal of
Control, Automation and Systems 8(
          <xref ref-type="bibr" rid="ref3">3</xref>
          ), 544–555 (2010)
21. Zubov, V.I.: Problem of control process stabilization. NII himii SPBGU, Saint
Petersburg (2001)
        </p>
      </sec>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Aleksandrov</surname>
            ,
            <given-names>V.V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Boltyanskii</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lemak</surname>
            ,
            <given-names>S.S.:</given-names>
          </string-name>
          <article-title>Optimization of the dynamics of man-aged systems</article-title>
          . MSU, Moscow (
          <year>2000</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2.
          <string-name>
            <surname>Andreev</surname>
            ,
            <given-names>A.S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Bezglasnyi</surname>
            ,
            <given-names>S.P.</given-names>
          </string-name>
          :
          <article-title>Stabilization of equilibrium state of nonlinear hamiltonian systems</article-title>
          .
          <source>Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering</source>
          <year>2017</year>
          pp.
          <fpage>1</fpage>
          -
          <lpage>4</lpage>
          (
          <year>2017</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3.
          <string-name>
            <surname>Andreyev</surname>
            ,
            <given-names>A.S.:</given-names>
          </string-name>
          <article-title>The stability of the equilibrium position of a non-autonomous mechanical system</article-title>
          .
          <source>Journal of Applied Mathematics and Mechanics</source>
          <volume>60</volume>
          ,
          <fpage>381</fpage>
          -
          <lpage>389</lpage>
          (
          <year>1996</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4.
          <string-name>
            <surname>Andreyev</surname>
            ,
            <given-names>A.S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Bezglasnyi</surname>
            ,
            <given-names>S.P.:</given-names>
          </string-name>
          <article-title>The stabilization of controlled systems with a guaranteed estimate of the control quality</article-title>
          .
          <source>Journal of Applied Mathematics and Mechanics</source>
          <volume>61</volume>
          ,
          <fpage>41</fpage>
          -
          <lpage>47</lpage>
          (
          <year>1997</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5.
          <string-name>
            <surname>Artstein</surname>
            ,
            <given-names>Z.</given-names>
          </string-name>
          :
          <article-title>Topological dynamics of an ordinary differential equation</article-title>
          .
          <source>Journal of Differential Equations</source>
          <volume>23</volume>
          ,
          <fpage>216</fpage>
          -
          <lpage>223</lpage>
          (
          <year>1977</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          6.
          <string-name>
            <surname>Bezglasnyi</surname>
            ,
            <given-names>S.:</given-names>
          </string-name>
          <article-title>The stabilization of program motions of controlled nonlinear mechanical systems</article-title>
          .
          <source>Journal of Applied Mathematics and Computing</source>
          <volume>14</volume>
          (
          <issue>1</issue>
          ),
          <fpage>251</fpage>
          -
          <lpage>266</lpage>
          (
          <year>2004</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          7.
          <string-name>
            <surname>Bezglasnyi</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Krasnikov</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          :
          <article-title>Realization of gyrostat program motion with cavity filled with viscous fluid</article-title>
          .
          <source>Lecture Notes in Engineering and Computer Science: Proceedings of The International Multi-Conference of Engineers and Computer</source>
          Scientists pp.
          <fpage>191</fpage>
          -
          <lpage>194</lpage>
          (
          <year>2016</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8.
          <string-name>
            <surname>Bezglasnyi</surname>
            ,
            <given-names>S.P.</given-names>
          </string-name>
          :
          <article-title>Active orientation of a gyrostat with variable moments of inertia</article-title>
          .
          <source>Journal of Applied Mathematics and Mechanics</source>
          <volume>78</volume>
          (
          <issue>6</issue>
          ),
          <fpage>551</fpage>
          -
          <lpage>559</lpage>
          (
          <year>2014</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          9.
          <string-name>
            <surname>Bezglasnyi</surname>
            ,
            <given-names>S.P.</given-names>
          </string-name>
          :
          <article-title>Stabilization of stationary motions of a gyrostat with a cavity filled with viscous fluid</article-title>
          . Russian
          <string-name>
            <surname>Aeronautics (Iz</surname>
            <given-names>VUZ</given-names>
          </string-name>
          )
          <volume>57</volume>
          (
          <issue>4</issue>
          ),
          <fpage>333</fpage>
          -
          <lpage>338</lpage>
          (
          <year>2014</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          10.
          <string-name>
            <surname>Bezglasnyi</surname>
            ,
            <given-names>S.P.:</given-names>
          </string-name>
          <article-title>The bounded control gravitational stabilization problem for satellites with movable mass. 2016 International Conference on Control, Decision and Information Tech-nologies (CoDIT)</article-title>
          ,
          <source>IEEE Explorer Digital</source>
          Library pp.
          <fpage>506</fpage>
          -
          <lpage>510</lpage>
          (
          <year>2016</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          11.
          <string-name>
            <surname>Bezglasnyi</surname>
            ,
            <given-names>S.P.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kurkina</surname>
            ,
            <given-names>E.V.</given-names>
          </string-name>
          :
          <article-title>Construction and stabilization of program motions of non-autonomous hamiltonian systems</article-title>
          . Izvestiya of Saratov University. New Series.
          <source>Series: Mathematics. Mechanics. Informatics</source>
          <volume>11</volume>
          (
          <issue>3-2</issue>
          ),
          <fpage>74</fpage>
          -
          <lpage>80</lpage>
          (
          <year>2011</year>
          )
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>