A New Nonlinear Chaotic Complex Model and Its Complex Antilag Synchronization

Another chaotic nonlinear Lü model with complex factors is covered here. We can build this riotous complex system when we add a complex nonlinear term to the third condition of the complex Lü system and think of it as if every one of the factors is mind boggling or complex. This system in real adaptation is a 6-dimensional continuous autonomous chaotic system. Different types of chaotic complex Lü system are developed. Also, another sort of synchronization is presented by us which is simple for anybody to ponder for the chaotic complex nonlinear system.This sort might be called a complex antilag synchronization (CALS). There are irregular properties for CALS and they do not exist in the literature; for example, (i) the CALS contains or fused two sorts of synchronizations (antilag synchronization ALS and lag synchronization LS); (ii) in CALS the attractors of the main and slave systems are moving opposite or similar to each other with time lag; (iii) the state variable of the main system synchronizes with a different state variable of the slave system. A scheme is intended to accomplish CALS of chaotic complex systems in light of Lyapunov function. The acquired outcomes and effectiveness can be represented by a simulation case for our new model.


Introduction
The chaotic system is an extremely specific nonlinear dynamical system.This chaotic system has numerous properties like the sensibility to starting conditions and in addition a sporadic, unusual conduct.The "butterfly effect" is the wellknown name of the sensibility of the introductory states of the chaotic systems [1].Since the development of the first chaotic attractor in a three-dimensional (3D) self-governing chaotic system in 1963 by Lorenz [2], over the most recent 30 years chaos has been seriously explored [3][4][5].Other chaotic systems were ordered in progression relying upon the arrangement of Lorenz, for example, Lü and Chen chaotic systems [6] and Liu chaotic system [7].Each of the past chaotic systems has one positive Lyapunov exponent, and every one of them is three-dimensional chaotic system.Be that as it may, there are likewise many fascinating cases including complex factors which have not been effectively investigated.For instance, we say here the mind-boggling Lorenz conditions which are utilized to depict and reproduce the physics of detuned laser and thermal convection of fluid flows [8] and some of its dynamical properties are contemplated in [9].The electric field abundance and the nuclear polarization sufficiency are both complex; for details see [10] and reference therein.In secured communications, utilizing complex variable expands the substance security of the transmitted data [11].Complex Lü and Chen systems are presented and contemplated as of late in [12].
Complex synchronization of chaotic (hyperchaotic) complex systems is a critical nonlinear occurrence [13][14][15][16][17][18][19][20][21][22][23][24][25].Complex synchronization of chaotic complex systems considers a couple of complex chaotic systems called main and slave systems, and it means to accomplish asymptotic tracking of the conditions of the slave system to the conditions of the main system.In the quest for the higher ability for enhancing the security of communication systems, some efforts have been dedicated to synchronization with complex-esteemed scaling components between chaotic (hyperchaotic) complexvariable systems.Lately, complex complete synchronization (CCS) [13], complex lag synchronization (CLS) [14], complex projective synchronization (CPS) [15], and modified projective synchronization with complex scaling components (CMPS) [16,17] are explored for coupled chaotic complex dynamical systems.Complex modified generalized projective synchronization (CMGPS) [18] and complex modified hybrid projective synchronization (CMHPS) [19] were executed between the same or different dimensional partial request complex chaotic (hyperchaotic).Complex generalized synchronization as for a mind-boggling vector map [20,21] was presented for two indistinguishable or nonidentical chaotic (hyperchaotic) complex-variable systems.The complex modified projective synchronization of complex chaotic (hyperchaotic) systems with uncertain complex parameters was studied in [22,23] while the complex modified function projective synchronization of complex chaotic systems is investigated in [24,25].
As of late, a few sorts of synchronization with time lag were concentrated; for example, antilag synchronization (ALS), lag synchronization (LS), and modified projective lag synchronization (MPLS) of two riotous or hyperchaotic complex systems are investigated in [26][27][28][29].In designing the applications, time delay always exists.For example, in the arrangement of telephone communication, the receiver hears the speaker voice at time .This is the speaker voice or transmitter at time  −  ( ≥ 0 and it is the lag time).In chaos communication, the time lag is the transmit flag that transmits to the receiver's end [26,27].
In this research, we introduce a modern chaotic model with complex components by embedding a complex nonlinear expression to the third equation of the complex Lü system (1) as where , , and  are positive parameters,  =  1 +  2 ,  =  3 +  4 , and  =  5 +  6 are complex functions, Im() is imaginary part of  equal to  2 , and Re() is the real part of  equal to  3 .
In addition, we present a novel sort of synchronization which we can name as complex antilag synchronization (CALS).The term CALS can be dealt with as synchronizing among ALS and LS.ALS occurs between the real part of the main system and the imaginary part of a slave system, while LS occurs between a real part of the slave system and an imaginary part of the main system.This paper is organized as follows: in the tracking section invariance, dissipation, fixed points, and their stability analysis of some points are contemplated.The complex comportment of system (2) can without much of a stretch be studied.As indicated by estimations of Lyapunov exponents, we can figure the scope of parameters qualities at the chaotic attractors numerically.We get the best classification of the progression of (2) by the signs of Lyapunov types.We get the Lyapunov dimension of (2).We develop different types of chaotic complex Lü systems in Section 3. In Section 4 a definition of CALS is acquainted and a scheme to achieve CALS of chaotic complex nonlinear systems is proposed.In Section 5, we study CALS of two indistinguishable chaotic complexes Lü systems (2) as a case of Section 4. Finally, we will find that the fundamental conclusions of our investigations are totalized in Section 6.

Basic Properties of System (2)
We study the basic dynamical analysis of our new system (2).
The real version of system (2) reads System (3) has many main dynamical qualities as tracking.

Symmetry and Invariance.
In system (3), we notice that this system is invariant transformation: ) is known as the solution of the similar system.

Stability of 𝐹
According to the Routh-Hurwitz theorem [30] the necessary and sufficient conditions for all roots to have negative real parts are if and only if (stable fixed points) otherwise they are unstable fixed points.
Likewise we can study the stability of  5 ,  6 ,  7 , and  8 .
The Lyapunov exponents   of the system are defined by [31] To find   , ( 10) and ( 11) must be numerically determined simultaneously.Runge-Kutta method of order 4 is used to compute   .
For the case of  = 21,  = 10, and  = 6, the initial conditions are as follows: This implies that our system (3) under this selection of , ,  is a chaotic system due to the fact that one of the Lyapunov exponents is positive.

2.4.1.
Fix  = 10 and  = 6 and Vary  ∈ [20,50].In light of Lyapunov exponents   (13) the system' parameter qualities were computed (3) at which chaotic attractors, periodic, quasiperiodic attractors and fixed points exist.The review modifies and differs one parameter and fixes the extra parameters as indicated by their states which fulfill the dissipative condition and the dependability state of the trifling fixed focuses.
In Figure 2, we figure the bifurcation diagram of system (3) when the parameter  is varying or modifying to guarantee that our system is chaotic.A bifurcation diagram outlines a system parameter on the horizontal axis and a report of the attractor's action on the vertical axis.So, bifurcation diagrams present a kind method to picture how a system's behavior varies according to the value of a parameter [33].Figure 2 shows (,  5 ) bifurcation diagram for  ∈ [20,50].It can be discerned that when  ∈ [20, 23.6], system (3) has solutions that approach chaotic attractors and when  ∈ (23.6, 24.6] it has periodic and quasiperiodic behavior.The equilibrium points are shown when  ∈ (24.6, 50].The dynamical behavior of Figure 2 is similar to this which is given in Figure 1. Testing this numerically (utilizing, e.g., Mathematica 7 programming) in different sections and best notes is found and is agreeable with our outcomes.For instance, picking  = 10 and  = 6, with the underlying conditions  0 = 0,  1 (0) = 1,  2 (0) = 2,  3 (0) = 3,  4 (0) = 4,  5 (0) = 5, and  6 (0) = 6, and when  = 21, the arrangement of system (3) has chaotic attractor (see Figure 3(a)).In Figure 3(b) the arrangement is periodic with  = 23.9.The quasiperiodic attractor is represented in Figure 3(c),  = 24.2.In Figure 3(d) the balance point is indicated when  = 30.

Different Forms of Chaotic Complex Lü Systems
In this section, we demonstrate that the complex Lü system (2) is not just the one that has chaotic attractors with all factors or variables being complex.In this way, we search for different systems that yield chaotic conduct.We can build these systems in light of system (1) by adding a complex nonlinear term to the third equation of (1) with thought, all factors are complex.We can build six different types of riotous complex Lü systems and compute their Lyapunov exponents as where where where  1 = 1.6,  2 = 0,  3 = 0,  4 = −5.80, 5 = −16.908, 6 = −19.20, = 20,  = 3, and  = 11.
All the above systems have one positive Lyapunov exponent.We ascertain these Lyapunov types as we accomplished in system (2) indistinguishable beginning conditions (Figure 1).The fundamental properties of these systems can be likewise examined as we have in Section 2.
In this work we present and study the definition of CALS of two systems of shape (21) (indistinguishable) with known parameters by scheming a control plot.We tried its rightness numerically.
We consider two indistinguishable chaotic complex nonlinear systems of shape (21): one is the main system (we indicate the main system with the subscript ) as and the second is the controlled slave system (with subscript ) as where the additive complex controllers are as follows:  In ALS the error in simple case: Box 2: Antilag synchronization (ALS) [27].
Remark 4. The complex state is as follows: where  = || = 1 ( is the modulus of ) and  = /2 ( is the phase of ).
Remark 5.The sum of the imaginary part of slave system x Im  () and the real part of main system x Re  ( − ) is vanishing when  → ∞ (ALS) [27].Remark 6.The error between the real part of slave system x Re  () and the imaginary part of main system x Im  ( − ) goes to zero as  → ∞ (LS) [26].
Remark 7. The difference between CALS and ALS [27] can be illustrated from Boxes 1 and 2.

Theorem 8. If nonlinear controller is designed as
then the main system ( 22) and the slave system (23) are moving in CALS manner asymptotically,  > 0.
Proof.From the definition of CALS, e = e Re + e Im = x  () + x  ( − ) . So and from chaotic complex systems ( 22) and ( 23), we get the error complex dynamical system as follows: By separating the real and the imaginary parts in (29), the error complex system is written as For positive parameters, we may now define a Lyapunov function for this system by the tracking positive definite quantity: Note now that the total time derivative of () along the trajectory of error system (30) is as follows: By substituting from ( 26) about L Re and L Im in ( 32) we obtain Obviously, () is a positive definite capacity and its subordinate is negatively definite; therefore as per the Lyapunov hypothesis, intricate mistake system (29) is asymptotically steady, which implies that   2ℎ → 0 and   2ℎ−1 → 0 as  → ∞ and ℎ = 1, 2, . . ., .Along these lines, the CALS between systems ( 22) and ( 23) is accomplished.This supplements the confirmation.
At last, by applying it for two comparable riotous complexes Lü systems in Section 5, our composition is stated.

Construction of the Controller.
In the current subsection, we can demonstrate the likelihood and effectiveness of the proposed synchronization plot in the forward segment.We review the CALS of two indistinguishable chaotic complex Lü systems.The main and the slave systems are consequently defined, individually, as follows: where Complexity  2 =  3 + 4 , and  3 =  5 + 6 are complex control functions, respectively, which are to be determined.Complex systems (34) and ( 35) can be formed, respectively, as ) .
So, the controller in (39) can be written as where    demonstrate that CALS is to be surely accomplished after a next to no time .We can see that  1 ,  3 ,  5 have a similar indication of  2 ,  4 ,  6 with time lag, while  2 ,  4 ,  6 have an inverse indication of  1 ,  3 ,  5 with time lag.This implies that LS is accomplished between the imaginary part of system (34) and the real part of system (35) while ALS happens between the real part of slave system (34) and the fanciful part of the main system (35).It is clear from Figure 4 that the state variables of the main system synchronize with different state variables of the slave system.In way, the CALS gives more prominent security in secure communications.Figure 4 indicates that CALS is accomplished after little time interim.The CALS errors are plotted in Figure 5.Of course from the above exschemeatory contemplations the CALS errors   2ℎ−1 and   2ℎ converge to zero as  → ∞ and ℎ = 1, 2, 3.In Figure 5 it can be seen that the errors will approach zero after little estimation of .The development of the attractors of main and slave systems in the wake of accomplishing the CALS is shown in Figure 6.Another marvel is represented in Figure 6 and does not model up in a wide range of synchronizations in the writing.The attractors of the main and slave systems in CALS are moving in opposite or similar shape to each other with different state variables and time lag as found in Figure 6.In Figure 6(a), the attractor of the main system in ( 1 ( − ),  3 ( − ),  5 ( − )) has the opposite shape of the slave system in ( 2 (),  4 (),  6 ()), while the attractor of the slave system in ( 1 (),  3 (),  5 ()) has the similar shape of the main system with time lag in ( 2 ( − ),  4 ( − ),  6 ( − )) as shown in Figure 6(b).

Numerical
In the numerical reenactments, we register the module errors and phase errors of main and slave models, respectively.For every unpredictable number, the module and phase are resolved as follows:

Conclusions
In this paper, we have presented a cutting edge chaotic complex Lü system (2) and we concentrated the elements of it.By affixing an unpredictable expression of the third condition of the complex Lü system (1), we can develop this system.In this system all factors are intricate.Our system in real adaptation is six measurements or by different words system (2) are high measurements.In spite of this, our new system does not create hyperchaotic practices.Consequently, we close from these outcomes that the expansion in the measurements is the important and not sufficient condition for producing hyperchaotic practices.The steadiness investigations of the fixed purposes of system (2) are completed.We presented in Section 3 different types of chaotic complex Lü systems which can be comparatively explored as we accomplished for system (2) in Section 2. These new systems leave room for further investigations.We present another kind of complex synchronization which is called complex antilag synchronization (CALS).A definition of CALS of two indistinguishable chaotic complex systems is given.We dissect and concentrate the CALS concerning two indistinguishable chaotic complex nonlinear systems.The CALS can be concentrated just in complex nonlinear systems.The CALS can be considered as syncretizing among ALS and LS (see Figure 4).LS occurs between a real part of the slave system and an imaginary part of the main system, while ALS occurs between the real part of the main system and the fanciful part of a slave system.In CALS, the state variables of the main system synchronize with different state variables of the slave system (see Figure 4).Thus, CALS gives more prominent security in secure interchanges.The most outstanding normal for the CALS is the attractors of the main and slave systems are moving in opposite or similar shape to each other with different state variables (see Figures 6(a) and 6(b)).These marvels did not come to pass and appear for any sorts of synchronization in the writing.A scheme is laid out to acknowledge CALS of two indistinguishable chaotic complex nonlinear systems in view of Lyapunov capacities.Amid this scheme, we analytically concluded the control complex capacities to accomplish CALS.It is simple and advantageous to utilize this scheme for chaotic and hyperchaotic complex systems.We apply our scheme, for instance, for two indistinguishable chaotic complex systems with different introductory qualities, main system (34) and slave systems (35).All the hypothetical outcomes are verified by numerical recreations of our case.A great assertion is found as shown in Figures 4, 5, and 6.In Figure 7 we register the modules errors and phase errors in light of the fact that, in the complex nonlinear

Figure 6 :
Figure 6: The attractors of systems (34) and (35).(a) Attractor of the main system has the opposite shape of the slave system.(b) Attractor of the main system has the similar shape of the slave system.