Optimized time-delayed feedback control of
fractional chaotic oscillator with application to secure
communications
Amir Rikhtegar Ghiasi
Faculty of electrical and computer engineering, University
of Tabriz, Tabriz, Iran
Email:agiasi@tabrizu.ac.ir
Mona Saber Gharamaleki
Faculty of electrical and computer engineering, University
of Tabriz, Tabriz, Iran
Email: m.saber96@ms.tabrizu.ac.ir
Elaheh Mohammadi asl Khasraghi
Faculty of electrical and computer engineering, University
of Tabriz, Tabriz, Iran
Email: elaheh.mhd96@ms.tabrizu.ac.ir
Zahra Sattarzadeh Kalajahi
Faculty of electrical and computer engineering, University
of Tabriz, Tabriz, Iran
Email: z.sattarzadeh96@ms.tabrizu.ac.ir
Abstract—In this paper new type of time-delayed feedback
control is designed based on particle swarm optimization method.
This controller is used in the control of chaotic behavior of
fractional order chaotic oscillator. Using a discretization method
practical realization of the proposed system has been done. Also
secure communication using the designed method is done.
Simulation results show the performance of the designed
controller.
Keywords—Time-delayed feedback; Fractional-order; Chaotic
oscillator; Particle swarm optimization; secure communications
I. INTRODUCTION
According to the chaotic behavior in many fields, study on
this behavior is so important problem. Chaotic systems are
unpredictable and this unpredictability has very application in
many fields such as laser [1-2], biological systems[3] and secure
communications [4]. Unpredictable behavior of these systems
make control of these systems as a challenging problem. For the
decades, studies on the control of chaotic systems have been
done. In last decades, fractional version of chaotic systems have
been expanded [5]. Fractional calculations are the general
version of ordinary calculations, and according to the high
accuracy on fractional order modeling of systems, this type of
modeling has gained the great attractions. Especially on the
chaotic systems, different types of fractional order systems are
introduced [6-7].
Different types of controllers have been introduced
according to this regard such as passive control [8-9] , feedback
control[10], impulsive control[11] , and many others. The basic
idea of these methods mostly obtained from two basic method:
OGY method [12] and time delay feedback control [13].
Idea of time delay feedback control is add a control signal to
the chaotic system to stabilize the system. This control signal is
related to the present state and a delayed value of state. The main
work in this method is to determine proper feedback gain and
time delay to guarantee the stability of the chaotic system[18].
A new method to stabilize the chaotic behavior of fractional
order system has been introduced, recently [5].
Fractional order makes chaotic system with much complexity.
And control of this system becomes a challenging problem. In
this paper this chaotic behavior on fractional order system has
been controlled using the optimized time-delayed feedback
which is the new point in the chaos control in the fractional order
systems.
The organization of this paper is as the follows: In section 2
basic relations about fractional calculations are introduced.
Model of fractional order electrical chaotic system is shown in
section 3. Section 4 describes the pervious studies on the time-
delayed feedback control and optimized method. Practical
implantation and simulation of the proposed introduced in
section 5 and main conclusions of the paper are mentioned on
section 6.
II. FRACTIONAL ORDER SYSTEMS
General forms of the fractional order operator have been
defined in many studies [15]. One of the well known definitions
is Riemann-Liouville definition as [16]:
() =
1
Γ(−)
∫
()
(−)
−+1
0
(1)
where n is an integer such that−1≤<.
Laplace transform of fractional derivate is defined as [16]:
{
()} =
{()} − ∑ [
−1+
()]
=0
−1
=1
(2)
where {} shows Laplace transform. For zero initial condition
of fractional derivate of () Laplace transform of fractional
derivative, operates as the integer one.
978-1-7281-1003-5/19/$31.00 ©2019 IEEE
Authorized licensed use limited to: Universita degli Studi di Bologna. Downloaded on October 02,2024 at 11:54:49 UTC from IEEE Xplore. Restrictions apply.