This work introduce a difference controls of players by using a new control method to completing a pursuit game. We study pursuit game problems for controlled partial differential equations of the parabolic type. We proved a theorem on pursuit game with mixed constraints, where pursuers control are subjected to integral (geometric) constraint and geometric (integral) constraint are imposed on evaders control. Moreover, we established the sufficient conditions for which pursuit is possible in the game considered.
Subject Classification: 49N70, 49N75, 91A23
Let A be a differential elliptic operator in the space
of the form
![]() | (1) |
The domain of definition
of the operator
is
(space of twice continuously differentiable functions),
is a bounded domain with piece-wise smooth boundary in
and
is a measurable bounded function satisfying the conditions
and
![]() |
Suppose that,
![]() |
is the lateral surface of the open cylinder
in
, where the boundary
of the domain
is assumed to be piecewise smooth.
Further, recall 1 that
is the Hilbert space of elements of
whose first-order generalized derivatives are square integrable on
is the subspace of
in which smooth compactly supported functions form a dense subset,
is the Hilbert space of elements of
whose generalized derivatives
are square integrable on
, and
is the subspace of
in which smooth functions vanishing near
form a dense set.
We consider a controlled system described by the parabolic equation:
![]() | (2) |
It was proved in 1 that if the above-mentioned conditions are satisfied, then problem (2) has a unique solution
in the class
for arbitrary
are the control functions (parameters) of the first player (the pursuer) and the second player (the evader), respectively. The solution has the form
![]() | (3) |
where the functions
form a solution of the following infinite system of differential equations and initial conditions:
![]() | (4) |
where
are the generalized eigenvalues of the operator A [see 4], (all these eigenvalues are negative, and
as
), the functions
form an orthonormal complete system of generalized eigenfunctions of A in
.
and
are the Fourier coefficients of
and
respectively, in the system
.
We assume that the pursuit game problem with mixed constraints on controls of players. The controls functions
and
subject to the following systems of inequalities.
![]() | (5) |
![]() | (6) |
where,
and
are nonnegative constants.
Definition 2.1. In the pursuit game (2), (5), [respectively, (2), (6)], it is possible to complete the pursuit from an initial position
if there exists
and a function
such that the following assertions are valid for an arbitrary function
satisfying the condition 
(i) 
(ii) the solution
of problem (2), where
and
satisfies
for some
The number
is called the pursuit time.
Let us introduce some additional notation. Suppose that
![]() | (7) |
![]() | (8) |
where,
are positive numbers, 
System (2), where
and
satisfy condition (5) [respectively, (6)], will be referred to as the pursuit game (2), (5) [respectively, (2), (6)]. ). Suppose that
![]() | (9) |
Then the solution
of problem (2) is given by
![]() | (10) |
where the functions
satisfy the following infinite system of differential equations and initial conditions
![]() | (11) |
The solution of the system (11) is given by
![]() | (12) |
where, 
Theorem 2.1. If
then in the pursuit game (2), (5) it is possible to complete the pursuit from any initial position
Proof: Let
is an arbitrary control of the second player.
We use the control method proposed in 5, we shall seek the pursuers control as in the form
![]() | (13) |
where,
are constants and
satisfies the following:
![]() | (14) |
Define
![]() | (15) |
If we set
in (13), we get
![]() | (16) |
Suppose that
is an arbitrary point of the set
. We now show that the control (16) ensure that
for all
.
By substituting the control (16) into the solution (12), we get
![]() | (17) |
Hence, at 
![]() | (18) |
Therefore, in the pursuit game problem (2), (5), it is possible to complete the pursuit from the initial state
for 
Now, let us prove the admissibility the control (16). In the pursuit game (2), (5), the controls
and
satisfying inequalities (5). We have,
![]() | (19) |
It follows that,
![]() | (20) |
Let,
![]() | (21) |
By setting
on
and taking into account (16), we see that
![]() | (22) |
Applying the Minkowski inequality, we get
![]() | (23) |
By using (20) and (21), we conclude that
![]() | (24) |
Taking into account (7), we have
![]() |
And finally, (21) implies that
![]() |
From the above formula, we conclude that the control
of the first player is admissible control. Thus, the pursuit in the pursuit game (2), (5), is completed from an arbitrary initial position
. This complete the proof of theorem 1.
Theorem 2.2. If
and
, then in the pursuit game (2), (6), the pursuit is completed in the
-neighborhood of zero (which means the solution
) of the pursuit game (2), (6), satisfies the inequality
for some
) it is possible to complete the pursuit from any initial position 
Proof: Consider the pursuit game (2), (6). Suppose that
is an arbitrary point of the set
is an arbitrary control of the second player.
Let
be an arbitrary real number such that
. We define the pursuer control by
![]() | (25) |
where,
![]() | (26) |
In accordance with (12), (25) and (26), we obtain
![]() | (27) |
In view of (27), we have
![]() | (28) |
But,
![]() |
By using the cauchy-schwarz inequality, we conclude that
![]() | (29) |
Since
and
it is easy to show that
![]() | (30) |
From (29) and (30), it follows that
![]() | (31) |
Since,
this implies that
![]() | (32) |
where,
![]() | (33) |
Now, if
, then by the definition the pursuit in the pursuit game (2), (6), it is possible to complete from the initial state
for
.
In the case
, it follows from (32) that
![]() | (34) |
We assume that
and define the pursuers control by:
![]() | (35) |
Moreover, according to (26) and (35), it is easy to see that
![]() | (36) |
By a direct computation using (27), (28) and (36), we get
![]() | (37) |
In the case
. By the definition the pursuit in the pursuit game (2), (6) is completed from the initial state
for
. In the case 
By setting
and use the previous argument, we conclude that
![]() | (38) |
where,
![]() | (39) |
Now, we will prove that the pursuit in the pursuit game (2), (6) is complete from the initial state
in finitely many steps.
First, let k be the smallest positive integer number such that
![]() | (40) |
In the kth step, we have the following two cases:
1) 
2) 
In case 2), by setting
where
![]() |
Continuing and use in the previous arguments, we conclude that
![]() | (41) |
where,
![]() | (42) |
By using (34), (38) and (41), we obtain
![]() |
It follows from (40) that
![]() | (43) |
On the other hand by using (33),(39) and (42), we get
![]() | (44) |
which contradicts the inequality (43), hence, the inequality
does not hold. Therefore, the inequality
in the case 1), holds.
Thus, by the definition it is possible to complete the pursuit (2), (6) from an initial position
before the
step at time at 
Finally, we will estimate pursuit time. The above discussion shows that
![]() |
Thus, we deduce from (34), (38) and (41), that
![]() |
A simple calculation by using (40) yields
![]() |
This ends the proof of the theorem.
By using a new control method, we have studied pursuit game problem with dynamics described by a partial differential equation of first order. We state and prove a theorem on pursuit with mixed constraints on control of players. Integral (geometric) constrain is imposed on the control of the pursuer whereas, that of the evader is subject to geometric (integral) constraint. In this theorem, we established the sufficient conditions for which pursuit is possible in the game considered.
| [1] | Ladyzhenskaya, O. A. Boundary-Value Problems of Mathematical Physics, Nauka, Moscow, 1973. [in Russian]. | ||
| In article | |||
| [2] | S. G. Mikhlin, Linear Partial Differential Equations. Vysshaya Shkola, Moscow, 1977. [in Russian]. | ||
| In article | |||
| [3] | Butkovskiy A.G. Control Methods in Systems with Distributed Parameters. Nauka, Moscow, 1975. | ||
| In article | |||
| [4] | Chernous’ko F.L. Bounded Controls in Systems with Distributed Parameters, Prikl. Mat. Mekh, 56(5). 810-826. 1992. | ||
| In article | View Article | ||
| [5] | Chernousko, F.L. On the Construction of a Bounded Control in Oscillatory Systems. J. Appl. Maths Mechs, 52(4). 426-433.1988. | ||
| In article | View Article | ||
| [6] | Chernousko, F.L. Decomposition and suboptimal control in dynamical systems. J. Appl. Maths Mechs, 54(6). 727-734. 1990. | ||
| In article | View Article | ||
| [7] | M. Tukhtasinov. Some Problems in the Theory of Differential Pursuit Games in Systems with Distributed Parameters. Prikl. Mat. Mekh, 59 (6). 1995. | ||
| In article | View Article | ||
| [8] | N. Yu. Satimov and M. Tukhtasinov, On some game problems for first-order controlled evolution equations, Differential Equations. 41(8). 1169-1177. 2005. | ||
| In article | View Article | ||
| [9] | Satimov N. Yu, and Tukhtasinov M. Game problems on a fixed interval in controlled first-order evolution equations, Mathematical notes. 80(4). 578-589. 2006. | ||
| In article | View Article | ||
| [10] | Ibragimov G.I. A Problem of Optimal Pursuit in Systems with Distributed Parameters. J. Appl. Math. Mech, 66(5). 719-724. | ||
| In article | View Article | ||
| [11] | Ibragimov G.I. Pursuit Differential Game Described by infinite First Order 2-Systems of Differential Equations. Malaysian Journal of Mathematical Sciences. 11(2). 181-190. May. 2017. | ||
| In article | |||
| [12] | bragimov G.I. Differential Game of Optimal Pursuit for an infinite Systems of Differential Equations. Bulletin of Malaysian Mathematical Sciences Society. 42(1). 391-403. Jun. 2019. | ||
| In article | View Article | ||
Published with license by Science and Education Publishing, Copyright © 2019 Fateh Allahabi and Mohammad Abdulkawi Mahiub
This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit
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| [1] | Ladyzhenskaya, O. A. Boundary-Value Problems of Mathematical Physics, Nauka, Moscow, 1973. [in Russian]. | ||
| In article | |||
| [2] | S. G. Mikhlin, Linear Partial Differential Equations. Vysshaya Shkola, Moscow, 1977. [in Russian]. | ||
| In article | |||
| [3] | Butkovskiy A.G. Control Methods in Systems with Distributed Parameters. Nauka, Moscow, 1975. | ||
| In article | |||
| [4] | Chernous’ko F.L. Bounded Controls in Systems with Distributed Parameters, Prikl. Mat. Mekh, 56(5). 810-826. 1992. | ||
| In article | View Article | ||
| [5] | Chernousko, F.L. On the Construction of a Bounded Control in Oscillatory Systems. J. Appl. Maths Mechs, 52(4). 426-433.1988. | ||
| In article | View Article | ||
| [6] | Chernousko, F.L. Decomposition and suboptimal control in dynamical systems. J. Appl. Maths Mechs, 54(6). 727-734. 1990. | ||
| In article | View Article | ||
| [7] | M. Tukhtasinov. Some Problems in the Theory of Differential Pursuit Games in Systems with Distributed Parameters. Prikl. Mat. Mekh, 59 (6). 1995. | ||
| In article | View Article | ||
| [8] | N. Yu. Satimov and M. Tukhtasinov, On some game problems for first-order controlled evolution equations, Differential Equations. 41(8). 1169-1177. 2005. | ||
| In article | View Article | ||
| [9] | Satimov N. Yu, and Tukhtasinov M. Game problems on a fixed interval in controlled first-order evolution equations, Mathematical notes. 80(4). 578-589. 2006. | ||
| In article | View Article | ||
| [10] | Ibragimov G.I. A Problem of Optimal Pursuit in Systems with Distributed Parameters. J. Appl. Math. Mech, 66(5). 719-724. | ||
| In article | View Article | ||
| [11] | Ibragimov G.I. Pursuit Differential Game Described by infinite First Order 2-Systems of Differential Equations. Malaysian Journal of Mathematical Sciences. 11(2). 181-190. May. 2017. | ||
| In article | |||
| [12] | bragimov G.I. Differential Game of Optimal Pursuit for an infinite Systems of Differential Equations. Bulletin of Malaysian Mathematical Sciences Society. 42(1). 391-403. Jun. 2019. | ||
| In article | View Article | ||