The Dynamics Behavior of Coupled Generalized van der Pol Oscillator with Distributed Order

In this paper, we presented different behaviors such as chaotic and hyperchaotic of the generalized van der Pol oscillator with distributed order. We introduced the parameter intervals of these behaviors by computing the Lyapunov exponents of the oscillator, which is a good test for classifying the dynamical systems’ solutions. e active control approach with the Laplace transform technique was used to realize the antisynchronization and control of the proposed oscillator. Finally, numerical investigations have been carried out on the dynamics of the proposed oscillator to verify the reliability of our analytical results.


Introduction
In 1920, van der Pol invented the van der Pol oscillator [1]. It describes the oscillation of a triode in an electrical circuit. It is a fundamental mathematical model, where it has many numerous applications and exciting features. is oscillator is used in designing many biological models such as heartbeats [2], designing physical models such as mobile and phone oscillators [3], and modeling of electrical systems [4]. Mathematically, there are many versions of the van der Pol oscillator like where (1) was introduced in 1927 by Van der Pol and Van Der Mark [4], and (2) was submitted in 1991 by Kapitaniak and Steeb [5]. In this paper, we will introduce the sinusoidal forcing with amplitude b and frequency w as a fractional version of the generalized van der Pol of the form where μ, ε, a, b, and w are constants. Fractional calculus plays an essential role in modern science. It is a different and distinct method for dealing with nonlinear systems along with the integer order. Fractional order models are adequate for the description of dynamical systems rather than integer order models. We can recognize, describe, and know dynamic phenomena such as chaos, hyperchaos, synchronization, and some other aspects of fractional order models faster and more accurately than those of the integer order of nonlinear systems. At present, the application of fractional calculus in most scientific fields has attracted much attention. So, the fractional calculus on the dynamical system was essential and exciting, which had been investigated recently by many researchers [6][7][8][9][10]. Here, in our paper, we used distributed order as a type of fractional calculus to study the dynamic behavior of nonlinear generalized van der Pol oscillator.
Distributed order calculus has been investigated for the first time as the extinction of fractional order calculus by Caputo [11]. Caputo et al. introduced useful properties for the distributed order calculus [12][13][14][15]. Fernández-Anaya et al. proposed the Lyapunov theorem and several features for distributed order nonlinear dynamic systems [16]. e distributed dynamic systems have various applications in engineering and physics [17][18][19][20]. Some of the solutions' properties for the viscoelastic rod derivative of the distributed order have been studied in [17]. Tavazoei [18] provided numerous conclusions about the monotonicity of responses stage describing distributed order structures in irrational transfer functions. e distributed time of order for Schrödinger-form equation implemented using the local Galerkin discontinuous method [19]. In [20,21], the writers were safely using complex distributed order structures. On the other hand, chaos and hyperchaotic solutions for distributed order dynamical systems are essential topics. Chen et al. [20] introduced a chaotic distributed order Lorenz system. Mahmoud et al. [22] presented the chaotic complex distributed order Lüand Chen systems.
Synchronization of chaos has a critical part to play in dynamic systems. It has various applications in different fields [20,21,[23][24][25] such as biology, physics, stable communication, and engineering. ere are many methods of control to achieve synchronization between chaotic and hyperchaotic systems, such as linear feedback control [26], nonlinear feedback control [27], active control [28,29], back-stepping design [30], tracking control [31], and adaptive control [24,32]. ese methods also used to hold synchronization between chaotic and hyperchaotic distributed order systems. Chen et al. [20] used the active control approach to synchronize the two chaotic Lorenz distributed order structures. Based on linear feedback control, Mahmoud et al. [22] presented the synchronization between chaotic complex distributed order Chen and Lü systems. By applyng the nonlinear feedback control and direct Lyapunov procedure, the synchronization among hyperchaotic complex distributed order van der Pol oscillators was investigated in [21]. System (3) can be constructed as a system of two differential equations of the first order when x � u 1 , _ x � u 2 ; then, we have system (4) can be written with distributed order and complex version as where e principal aims of this paper described as follows. (1) e hyperchaotic generalized van der Pol method has been introduced with complex parameter distributed order (ε � ε 1 + iε 2 ) of the form (4). (2) e dynamics of the system are analyzed, and we also evaluate the parameter intervals (b, ε 1 ε 2 ) when the solution of this system is chaotic and hyperchaotic (3). e solution of system (3) is transformed into a periodic solution using linear feedback control. (4) A scheme to achieve antisynchronization between two generalized frameworks by van der Pol with distributed order hyperchaotic complex is stated. (5) e numerical simulations to test this theorem are presented.
e article is set out as follows. We are displaying some critical preliminaries in Section 2. Dynamics of the van der Pol generalized system of the distributed order complex and the parameter intervals at which chaotic and hyperchaotic solutions are calculated in Section 3. Using linear feedback control in Section 4, we manage its solution from chaotic and hyperchaotic to periodic. In Section 5, the antisynchronization between two identical systems of (3) is achieved through active control and transformation of the Laplace. e paper's conclusion is presented in Section 6.

Preliminaries
e following section includes some definitions of the fractional order and the distributed order derivatives [16,22,33,34], with useful remark and theorem that will be used later.
e Laplace transforms a fractional derivative of Caputo Definition 2. e distributed derivative of a continuous function x(t) is Remark 1. e Laplace transform of the distributed derivative is given by: where W(s) � l l−1 w(α)s α dα and lim s⟶0 W(s) � 0.

Dynamics of the Complex Generalized van der Pol Oscillator with Distributed Order
e dynamics of the generalized van der Pol oscillator distributed order with complex parameters are studying in this section. We test the intervals of the parameters where there are chaotic and hyperchaotic approaches to the system. e real form of system (5) can be written as System (10) is seen as a generalization of several van der Pol oscillator variants (integer and fractional order). It has no fixed points because it is not an autonomous system. It is symmetric under the transformation ( is a solution of (10), then is also a solution of the same system. System (10) is also dissipative in the case of ε 1 To show the solution's behavior and to obtain the intervals for chaotic and hyperchaotic phenomena of system (10), we calculated the Lyapunov exponents, which are an excellent test to classify the solutions. (10). System (10) has four Lyapunov exponents λ i , i � 1, 2, 3, 4, which have been measured by Wolf algorithm [35]. e classification of signs of Lyapunov exponents are stated in Table 1 [36]:
From Table 2, the solution of system (10) is hyperchaotic.

Supervision of Unusual Approaches of (10)
We applied the linear feedback control method to transform the system's chaotic and hyperchaotic solution (10) to periodic one. System (10) after the introduction of the control functions became where K � diag(k 1 , k 2 , k 3 , k 4 ) � diag(30, 40, 100, 100). e example b � 30, ε 1 � 25, ε 2 � 2, and w � 2.1 was chosen to make control. As shown in Figures 4 and 5, the hyperchaotic solution converted to periodic solution.
where e � (e 1 , e 2 , . . . , e n ) T is vector of synchronization error, and ‖·‖ is the matrix norm. e system of error can be written as Mathematical Problems in Engineering

Mathematical Problems in Engineering
Theorem 2. e antisynchronization between the master system (10) and the slave system (12) will be achieved if the control functions chose as follows: Mathematical Problems in Engineering Proof. Using the control functions (15), the error system (14) can be written as     Figure 9: e hyperchaotic solution of system (10) in (x 1 , x 2 ) space.   Mathematical Problems in Engineering By transforming system (16) by Laplace and applying Remark 1 in L e i (t) � E i (s), i � 1, 2, 3, 4, then we get: By using eorem 1 and Remark 1, we deduced that lim t⟶∞ e i (t) � 0, i � 1, 2, 3, 4.. Anti synchronization between the master system (10) and the slave system (12) can therefore be accomplished.
Numerically, if we take K � diag(40, 40, 50, 50), and the initial values of the master system (10) and the slave system (12) are x 0 � (1.0826, −0.0149, −0.0990, 0.1544) T , y 0 � (−0.94, 0.2, 0.3, 0.25) T respectively, and the same parameters of Figure 6, the antisynchronization between master system (10) and slave system (12) achieved as shown in Figures 7 and 8. Figure 7 shows the antisynchronization between the state variables in the master and slave systems. e errors of the synchronization approach to zero, as shown in Figure 8. It clear that there exists an agreement between numerical simulations and eorem 2.

Conclusions
In this work, we have investigated a new generalized van der Pol oscillator distributed order with a complex parameter (10). e literature is to be a generalization of several variants of van der Pol oscillator. We calculated Lyapunov exponents of that system for several parameter values, and we noticed that the system contains chaotic and hyperchaotic phenomena depicted in Figures 6, 9, and 10. We applied the linear feedback control method of system (10), and we could convert the chaotic and hyperchaotic solution to periodic one, as shown in Figures 4 and 5. We introduced eorem 2 to fulfill the antisynchronization between two identical distributed order generalized van der Pol oscillators by using active control and Laplace transform method; the numerical simulations were consistent with the analytical study. e results are shown in Figures 7 and 8.

Data Availability
e authors declare that all data sources are original.

Conflicts of Interest
e authors declare no conflicts of interest.