Mathematical Problems in Engineering

Volume 2014 (2014), Article ID 591089, 13 pages

http://dx.doi.org/10.1155/2014/591089

Research Article

Combination-Combination Hyperchaos Synchronization of Complex Memristor Oscillator System

Zhang Jin-E

School of Mathematics and Statistics, Hubei Normal University, Huangshi, Hubei, China

Received 30 March 2014; Accepted 3 May 2014; Published 29 May 2014

Academic Editor: He Huang

Copyright © 2014 Zhang Jin-E. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

The combination-combination synchronization scheme is based on combination of multidrive systems and combination of multiresponse systems. In this paper, we investigate combination-combination synchronization of hyperchaotic complex memristor oscillator system. Several sufficient conditions are provided to ascertain the combination of two drive hyperchaotic complex memristor oscillator systems to synchronize the combination of two response hyperchaotic complex memristor oscillator systems. These new conditions improve and extend the existing synchronization results for memristive systems. A numerical example is given to show the feasibility of theoretical results.

1. Introduction

Since the characteristics of passive two-terminal memristor are reviewed, lots of emulators and macromodels have been proposed. One remarkable use for memristor is in complex memristor oscillator systems, where nonlinear oscillators from Chua’s oscillators are replaced by using memristors [1–10]. The complex behaviors for such systems were analyzed in [1–5, 8–10]. When nonlinear memristor is applied to electronic device, the behavior of the new-type device becomes complicated and difficult to predict due to the unique nonlinear mechanism of memristor [11–14]. However, to apply to the practical engineering, its electrical characteristics must be able to be fully understood. So it is vital to understand the characteristics and behaviors of memristive devices. In [1], the transient chaos was studied for a smooth flux-controlled complex memristor oscillator system. In [2], the local and global behavior of the basic oscillator on complex memristor oscillator system was investigated. Itoh and Chua [3] discussed some interesting oscillation properties and rich nonlinear dynamics of several complex memristor oscillator systems from Chua’s oscillators. Talukdar et al. [7] reported the nonlinear dynamics of three memristor-based phase shift oscillators. As we all know, the electrical characteristics of complex memristor oscillator system can vary depending upon its circuit structure. The internal behavior of high order (fifth-order or more) complex memristor oscillator system still is not being analyzed [9, 10]. In high order complex memristor oscillator system, there are still many unknown fields waiting for us to exploit them. Specifically, the current studies about complex memristor oscillator system have mostly remained at the basic chaotic dynamic theory. Compared with common chaos with only one positive Lyapunov exponent, hyperchaos with more than one positive Lyapunov exponents can exhibit multidirectional expansion and extremely complex behaviors. Can we design high order complex memristor oscillator system to achieve the hyperchaotic effect? If this is really so, many different applications might be proposed, such as ultradense nonvolatile memory and high-performance secure communication [9, 10].

The topic of chaos synchronization of oscillator systems is extensively investigated because of possible relevance to information encryption [8–11, 15–28]. Various kinds of synchronization laws have been obtained, for example, complete synchronization [8, 11, 15–18], compound synchronization [10], antisynchronization [19–21], phase synchronization [22, 23], lag synchronization [24–26], projective synchronization [10, 27], and combination synchronization [9, 28]. However, in the existing literature, most of synchronization laws are based on one drive system and one response system. In this way, when chaos synchronization is applied to secure communication, the information signal is transmitted by only one chaotic system, which is not suitable for very high-performance secure communication. Can the information signal be transmitted by the combination of multiple chaotic systems? If we can successfully provide some ways to do this, then the transmitted signals will be more complex and unpredictable, and thereby the security of communication can be effectively enhanced. Thus, a theoretical question is whether we can design a synchronization scheme on the combination of multidrive systems and combination of multiresponse systems. Such a combination design may help to improve the secrecy in communications [9, 28].

Motivated by the above discussions, in this paper, firstly, a new hyperchaotic complex memristor oscillator system is introduced and studied. Secondly, we bring in the scheme of combination-combination synchronization and establish some synchronization criteria. Roughly stated, the main advantages of this paper include the following three points.

(1)Hyperchaotic complex memristor oscillator system is systematically investigated. Hyperchaos is often considered better than common chaos in many engineering fields. Theoretically, hyperchaotic complex memristor oscillator system might improve the security of chaotic communication system.(2)The synchronization control between combination of two drive hyperchaotic complex memristor oscillator systems and combination of two response hyperchaotic complex memristor oscillator systems in drive-response coupled system is investigated. The generalization of synchronization scheme will provide a wider scope for the designs and applications of memristive system.(3)The proposed scheme of combination-combination synchronization in this paper can be applied to the general nonlinear systems.

The rest of this paper is arranged as follows. Section 2 describes some preliminaries and problem formulation. Section 3 derives some sufficient conditions on combination-combination synchronization for hyperchaotic complex memristor oscillator system and then presents a numerical example to demonstrate the validity of the theoretical results. Section 4 concludes the paper with some remarks.

2. Preliminaries

Consider a fifth-order complex memristor oscillator system with its dynamics described by the following ordinary differential equations:

where and denote voltages, and represent currents, and denote capacitors, and represent inductors, is memductance function, and and are magnetic flux and resistor, respectively.

Similarly as in [1, 9, 10], a cubic memristor is chosen; then

where and are parameters.

From (1) and (2),

Let , , , , , , , , , , , ; then (3) can be rewritten as

Let parameters , , , , , , , the initial state , , , , , by mean of computer program with MATLAB, the corresponding Lyapunov exponents of system (4) are , , , , . The numerical result is shown in Figure 1, where the first two Lyapunov exponents are positive. Clearly, it implies that memristor oscillator system (4) is hyperchaotic. Figure 2 describes the hyperchaotic attractors.

Figure 1: Dynamics of Lyapunov exponents from memristor oscillator system (4).

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(b)

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Figure 2: 3D projections of the hyperchaotic attractor from memristor oscillator system (4).

Many efforts have been paid in recent years to develop efficient circuit implementation for the generation of hyperchaotic memristor oscillator system. However, to the best of our knowledge, up to now, the hyperchaotic memristor oscillator system is still very unusual. Thus, hyperchaotic memristor oscillator system (4) is important for our understanding of hyperchaotic memristive devices.

In the following, we end this section with the scheme of combination-combination synchronization, which will be used in subsequent section.

In engineering field, generally, combination-combination synchronization is based on multiple drive systems and multiple response systems. In many engineering applications and hardware implementations, combination-combination synchronization constituting of two drive systems and two response systems is usually considered. Figure 3 describes a schematic diagram of combination-combination synchronization scheme. In fact, combination-combination synchronization has its unique physical interpretation. For example, in Figure 3, the combination of two drive systems generates the resultant signal; then the combination of two response systems tracks the resultant signal.

Figure 3: The physical realization of combination-combination synchronization scheme.

Next, we give specific mathematical descriptions of combination-combination synchronization scheme.

Consider the drive system:

The other drive system is given by

and two response systems are described by

where state vectors , , , and and vector functions , , are the appropriate control inputs that will be designed in order to obtain a certain control objective.

Definition 1. The drive systems (5) and (6) are realized combination-combination synchronization with the response systems (7) if there exist -dimensional constant diagonal matrices , and such that

where is vector norm, is the synchronization error vector, , , , and .

Remark 2. As stated earlier, according to Definition 1, the physical implication of combination-combination synchronization is rather intuitionistic. The resultant signal of the combination of two drive systems (5) and (6) is tracked by the synthetic signal of the combination of two response systems (7).

Remark 3. In [28], Sun et al. apply combination-combination design to study the synchronization control of some classical chaotic systems. Generally speaking, this synchronization method for chaotic system is quite novel.

Remark 4. In Definition 1, matrices , , , and are often called the scaling matrices. It is not hard to find that the scheme of combination-combination synchronization in Definition 1 contains the combination of two drive systems and the combination of two response systems. Moreover, one advantage of combination-combination synchronization is that the drive systems or the response systems can be completely identical or different.

Remark 5. The scheme of combination-combination synchronization improves and generalizes some existing synchronization schemes. When scaling matrices or , the combination-combination synchronization will degrade into combination synchronization. When scaling matrices or or or , the combination-combination synchronization will be reduced to complete synchronization. When scaling matrices or , the combination-combination synchronization will change into chaos control.

3. Synchronization Criteria

In this section, we will devote to investigate combination-combination synchronization of hyperchaotic complex memristor oscillator system.

Corresponding to (4), the other drive system is given as

and two response systems are described as follows:

where , , , , , , , , , , , , , , , , , , , , and are parameters and , , , , , , , , , and are the control inputs to be designed.

In our synchronization scheme, let

Thus,

Obviously, we have

Combining with (4) and (9)–(11), then the synchronization error system (14) can be transformed into the following form:

Denote

Then (15) can be rewritten as

In fact, (16) is called the controller to be designed.

Theorem 6. If the control law is chosen as follows:

then the drive systems (4) and (9) will achieve combination-combination synchronization with the response systems (10) and (11).

Proof. Consider the following Lyapunov function:

Calculating the upper right Dini derivative of along the trajectory of (17), then

where

On the basis of (18), we have

That is,

Together with (20) and (23), then

where .

Let be arbitrarily given; integrating the above Equation (24) from to , then

where is the Euclidean vector norm.

According to Barbalat’s lemma, we have as . Hence, as . It implies that the drive systems (4) and (9) can achieve combination-combination synchronization with the response systems (10) and (11). The proof is completed.

Remark 7. The nonlinear degree of control input in (18) is somewhat high. In the sense of control theory, the control input in (18) may not be the best. However, in many applications, firstly one often needs to understand whether the control system designed has the desired properties such as the combination-combination synchronization behavior. In fact, as the works in [9, 28], because of the unique construction about combination design, the control input in synchronization scheme via combination design is usually a bit more complicated. How to design easy and efficient synchronization criteria will be the topic of future research.

Remark 8. For the controller design of combination-combination synchronization, once we get proper controller (16), then the and () in the response systems (10) and (11) can be obtained via (). Obviously, these and () have wide choices, which can provide the designer with the richness of flexibility. Of course, for the whole controller design of combination-combination synchronization, we merely concern the controller (16).

Next we extend Theorem 6 to other possible cases.

Corollary 9. If the control law is chosen as follows:

then the drive systems (4) and (9) will achieve combination synchronization with the response system (10).

Corollary 10. If the control law is chosen as follows:

then the drive systems (4) and (9) will achieve combination synchronization with the response system (11).

Corollary 11. If the control law is chosen as follows:

then the drive system (4) will achieve complete synchronization with the response system (10).

According to Corollary 11, on the complete synchronization criteria between (4) and (11), or (9) and (10), or (9) and (11), one can make some parallel promotions. So we will not repeat all of those corollaries here.

Corollary 12. If the control law is chosen as follows:

then system (10) is asymptotically stabilizable.

Corollary 13. If the control law is chosen as follows:

then system (11) is asymptotically stabilizable.

Remark 14. Just like Remark 7, the nonlinear degree of control input in the above corollaries is somewhat high. How to design some less conservative criteria, this issue, will be the topic of future research.

Remark 15. In many existing works, the combination of multiple drive systems may induce the combination states to be asymptotically stable or emanative. And theoretically, a direct consequence of such combination of multiple drive systems is the information signal extraction which is extremely difficult or completely useless. In this paper, the combination of two drive systems can be always hyperchaotic; thus, the dynamic behavior is more abundant and complex (see the subsequent numerical example). In theory, when it is used to chaotic communication, this would greatly enhance the security and reliability for high-performance communication.

Remark 16. Theoretically, in the past chaotic communication via drive-response model, the transmitted signal only depends on one drive system. However, in theory, when designing secure communication via combination-combination synchronization, the transmitted signal and received signal can both be split into multiple different chaotic systems. Compared to some conventional design methods, this design approach maybe have stronger antiattack ability.

In the following, we give a numerical example to illustrate the superiority of theoretical results via computer simulations.

Assume , , , , , , . Let , , , , according to Theorem 6; then the control law can be designed as

By (16), it follows that

then and () can be chosen according to different requirements. For example, it allows

Of course, the and   () in (33) are just one case rather than the norm. The designers can choose what they need via the combination-combination controller (31).

Simulation result of the combination of two drive systems (4) and (9) is depicted in Figure 4. The computer simulation suggests that the combination of two drive systems (4) and (9) has a hyperchaotic attractor, as shown in Figure 4, which has verified that the combination of drive systems (4) and (9) remains hyperchaotic. Meanwhile, according to Theorem 6, the combination of two drive systems (4) and (9) can achieve synchronization with the combination of two response systems (10) and (11). Figure 5 depicts the time response of the synchronization error .

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Figure 4: 3D projections of the hyperchaotic attractor from combination of two drive systems.

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Figure 5: Time response curve for synchronization error .

4. Concluding Remarks

A fifth-order complex memristor oscillator system with hyperchaotic effect is presented in this paper. Some sufficient conditions are derived to guarantee the hyperchaotic complex memristor oscillator system for realizing combination-combination synchronization. The hyperchaotic complex memristor oscillator system is useful in secure communication systems with enhanced security features that protect against deciphering. Also, the scheme of combination-combination synchronization might overcome some design issues associated with previous schemes for using chaos in communications. Application of new intelligent control methods to complex memristor oscillator model yields a deep insight into the behaviors under investigation.

Conflict of Interests

The author declares that there is no conflict of interests regarding the publication of this paper.

Acknowledgment

The work is supported by the Research Project of Hubei Provincial Department of Education of China under Grant T201412.

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