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Research Article | Open Access
One Adaptive Synchronization Approach for Fractional-Order Chaotic System with Fractional-Order
Ping Zhou
1,2 and Rongji Bai1,21Center of System Theory and Its Applications, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2Key Laboratory of Network Control and Intelligent Instrument of Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Abstract
Based on a new stability result of equilibrium point in nonlinear fractional-order systems for fractional-order lying in , one adaptive synchronization approach is established. The adaptive synchronization for the fractional-order Lorenz chaotic system with fractional-order is considered. Numerical simulations show the validity and feasibility of the proposed scheme.
1. Introduction
Fractional-order differential equations can be more accurately described in the real-world physical systems [1–3]. Many fractional-order systems create chaotic attractor. Many fractional-order chaotic attractors have been reported in recent years, for example, the fractional-order Lorenz chaotic attractor [1, 4, 5], the fractional-order Chen chaotic attractor [5], the fractional-order Lu chaotic attractor [2, 4], the fractional-order Chua chaotic attractor [5], the fractional-order Duffing chaotic attractor [6], the fractional-order Rössler chaotic attractor [7, 8], and so on. On the other hand, synchronization of chaotic systems has been given more attention [2, 9–13]. This is due to its applications in the field of engineering and science. Over the last two decades, many scholars have proposed various synchronization schemes. It is well known that many chaotic systems in practical situations are usually with fully or partially unknown parameters. In order to estimate the unknown parameters, a synchronization scheme named adaptive synchronization has been proposed. Now, the adaptive synchronization [13–16] has attracted more and more attention. This is due to its effectiveness in many practical chaos applications.
However, many adaptive synchronization approaches on fractional-order chaotic systems reported previously [2, 9–13] were considered the fractional-order lying in . To the best of our knowledge, there are a few results about adaptive synchronization on fractional-order chaotic systems with fractional-order . In fact, there are many fractional-order systems with fractional-order in real-world physical systems, for example, the fractional diffusion-wave equation [17], the fractional telegraph equation [18], the time fractional heat conduction equation [19], and so forth. So, an interesting question is how to realize the adaptive synchronization for fractional-order lying in ? This question is of practical importance as well as academic significance. In this paper, a positive answer is given for the above question.
Inspired by the above-mentioned discussion, one adaptive synchronization approach for a class of fractional-order chaotic system with is established. This approach is based on a new stability result of equilibrium point in nonlinear fractional-order systems for fractional-order lying in [1]. The adaptive synchronization for the fractional-order Lorenz chaotic system with fractional-order is considered. Numerical simulations show the validity and feasibility of the proposed scheme.
2. Preliminaries and Main Results
In our paper, the th Caputo derivative for function is shown as where denote the Caputo derivative, is the smallest integer larger than , is the th derivative in the usual sense, and is the gamma function.
Now, consider the following fractional-order chaotic system: where fractional-order , , and . is a constant matrix. is the nonlinear part of system (2).
The system (2) can be rewritten as follows: where is the system parameter. is the nonlinear part, and all the terms with system parameter are contained in . is a constant matrix, and matrix element .
In this paper, we focus on a class of fractional-order chaotic system in which the equation holds. Here, variable is real number. Vector and vector are the linear part and nonlinear part with respect to , respectively. In fact, the nonlinear term in many fractional-order chaotic systems meet this equation, for example, the fractional-order Lorenz chaotic system, fractional-order Chen chaotic system, fractional-order Lu chaotic system, fractional-order Rössler chaotic system, the fractional-order Chua’s chaotic system and its modified chaotic system, the fractional-order Duffing chaotic system, the fractional-order Arneodo chaotic system, the fractional-order Sprott chaotic system, and so forth.
Next, the adaptive synchronization for fractional-order chaotic system (3) is proposed. Select system (3) as drive system; the response systems with parameter update law are shown as follows: where is state vector, is a controller, is real constant matrix, and parameter is unknown in response system (4). The true value of the “unknown” parameter is selected as . The parameter update law is . The adaptive synchronization errors are , , and .
Lemma 1 (see [1]). For the nonlinear part of systems (2), if(i), ;(ii), .
Then, the zero solution of fractional-order chaotic system (2) is asymptotically stable.
Based on this lemma, the following main results are given.
Theorem 2. If the controller is selected as
and the following conditions are satisfied:(i), for any ,(ii), ,
then the adaptive synchronization between fractional-order chaotic system (3) and fractional-order system (4) can be arrived, where , , and . is a suitable constant matrix.
Proof. The error system between systems (4) and (3) can be shown as
Due to , , and , system (6) can be rewritten as
Using , , and , error system (7) can be changed as
Since and , therefore, (8) can be changed as
Due to , for any , , and . According to the above-mentioned lemma, the zero solution of fractional-order system (9) is asymptotically stable. So, the following result holds:
It implies the following:
Therefore, the adaptive synchronization between fractional-order chaotic system (3) and fractional-order system (4) can be arrived. The proof is completed.
3. Illustrative Example
In this section, to show the effectiveness of the adaptive synchronization approach in this paper, the adaptive synchronization for the fractional-order Lorenz chaotic system [4] with fractional-order is considered. Numerical simulations show the validity and feasibility of the proposed scheme.
The fractional-order Lorenz system is described by where , , and are system parameters. Let , , , and ; the system (12) creates chaotic attractor. The chaotic attractor is shown in Figure 1.
Case 1 (parameter is unknown in response system). Now, assume the system parameter in in response system is the unknown parameter. The true value of the “unknown” parameter is selected as .
The fractional-order Lorenz system (12) can be rewritten as where .
So
According to Section 2, the response system with unknown parameter can be given as and the parameter update law is
It is easy to obtain the following:
So
Now, it is easy to verify the following:
Therefore, the first condition in the above-mentioned theorem holds.
Now, choose suitable real constant matrix and such that So the second condition in the above-mentioned theorem holds. According to the theorem in Section 2, the adaptive synchronization between drive system (13) and response system (15) with parameter update law (16) can be achieved.
For example, let and . So . Therefore, , , and , respectively. Simulation results are shown in Figure 2. Here, , and all the initial conditions in this paper are , and , respectively.
Case 2 (parameter is unknown in response system). Now, assume that the system parameter in response system is the unknown parameter. The true value of the “unknown” parameter is selected as .
The fractional-order Lorenz system (12) can be rewritten as where .
So
According to Section 2, the response system with unknown parameter can be given as and the parameter update law is
It is easy to obtain the following:
So
Now, it is easy to verify the following: Therefore, the first condition in the above-mentioned theorem holds.
Now, choose suitable real constant matrix and such that So the second condition in the above-mentioned theorem holds. According to the theorem in Section 2, the adaptive synchronization between drive system (21) and response system (23) with parameter update law (24) can be achieved.
For example, let and . So . Therefore, , , , and , respectively. Simulation results are shown in Figure 3. Here, .
Case 3 (parameter is unknown in response system). Now, assume that the system parameter in response system is the unknown parameter. The true value of the “unknown” parameter is selected as .
The fractional-order Lorenz system (12) can be rewritten as
So
According to Section 2, the response system is given as and the parameter update law is
It is easy to obtain the following:
So
Now, it is easy to verify the following: Therefore, the first condition in the above-mentioned theorem holds.
Now, choose suitable real constant matrix and such that So, the second condition in the above-mentioned theorem holds. According to the theoremin Section 2, the adaptive synchronization between drive system (29) and response system (31) with parameter update law (32) can be achieved.
For example, let and . So . Therefore, , , and , respectively. Simulation results are shown in Figure 4. Here, .
4. Conclusions
One adaptive synchronization scheme for a class of fractional-order chaotic system with fractional-order is suggested in this paper. This synchronization approach is based on a new stability result of equilibrium point in nonlinear fractional-order systems for fractional-order lying in . In order to verify the effectiveness of the adaptive synchronization approach, the adaptive synchronization for the fractional-order Lorenz chaotic system with fractional-order is considered. Numerical simulations show the validity and feasibility of the proposed scheme. The current results in this paper can be extended to several unknown parameters of the fractional-order chaotic systems. Moreover, this synchronization approach can be applied to other fractional-order chaotic systems.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
References
- L. Chen, Y. He, Y. Chai, and R. Wu, “New results on stability and stabilization of a class of nonlinear fractional-order systems,” Nonlinear Dynamics, vol. 75, no. 4, pp. 633–641, 2014. View at: Publisher Site | Google Scholar | MathSciNet
- R. Hilfer, Applications of Fractional Calculus in Physics, World Scientific, Singapore, 2000. View at: Publisher Site | MathSciNet
- M. Naber, “Time fractional Schrödinger equation,” Journal of Mathematical Physics, vol. 45, no. 8, pp. 3339–3352, 2004. View at: Publisher Site | Google Scholar | MathSciNet
- I. Grigorenko and E. Grigorenko, “Chaotic dynamics of the fractional Lorenz system,” Physical Review Letters, vol. 91, Article ID 034101, 2003. View at: Google Scholar
- P. Zhou, R. Ding, and Y. X. Cao, “Multi drive-one response synchronization for fractional-order chaotic systems,” Nonlinear Dynamics, vol. 70, no. 2, pp. 1263–1271, 2012. View at: Publisher Site | Google Scholar | MathSciNet
- Z. M. Ge and C. Y. Ou, “Chaos in a fractional order modified Duffing system,” Chaos, Solitons and Fractals, vol. 34, no. 2, pp. 262–291, 2007. View at: Publisher Site | Google Scholar
- D. Cafagna and G. Grassi, “Hyperchaos in the fractional-order Roμssler system with lowest-order,” International Journal of Bifurcation and Chaos, vol. 19, no. 1, pp. 339–347, 2009. View at: Publisher Site | Google Scholar
- P. Zhou and F. Yang, “Hyperchaos, chaos, and horseshoe in a 4D nonlinear system with an infinite number of equilibrium points,” Nonlinear Dynamics, vol. 76, no. 1, pp. 473–480, 2014. View at: Publisher Site | Google Scholar | MathSciNet
- J. C. Sprott, Chaos and Time-Series Analysis, Oxford University Press, Oxford, UK, 2003. View at: MathSciNet
- G. R. Chen and X. Dong, “From chaos to order perspectives,” in Methodologies and Applications, World scientific, Singapore, 1998. View at: Google Scholar
- X. Y. Wang and J. M. Song, “Synchronization of the fractional order hyperchaos Lorenz systems with activation feedback control,” Communications in Nonlinear Science and Numerical Simulation, vol. 14, no. 8, pp. 3351–3357, 2009. View at: Publisher Site | Google Scholar
- P. Zhou and W. Zhu, “Function projective synchronization for fractional-order chaotic systems,” Nonlinear Analysis: Real World Applications, vol. 12, no. 2, pp. 811–816, 2011. View at: Publisher Site | Google Scholar | MathSciNet
- R. Zhang and S. Yang, “Adaptive synchronization of fractional-order chaotic systems via a single driving variable,” Nonlinear Dynamics, vol. 66, no. 4, pp. 831–837, 2011. View at: Publisher Site | Google Scholar
- L. L. Li and J. D. Cao, “Cluster synchronization in an array of coupled stochastic delayed neural networks via pinning control,” Neurocomputing, vol. 74, no. 5, pp. 846–856, 2011. View at: Publisher Site | Google Scholar
- J. Q. Lu and J. D. Cao, “Adaptive synchronization in tree-like dynamical networks,” Nonlinear Analysis: Real World Applications, vol. 8, no. 4, pp. 1252–1260, 2007. View at: Publisher Site | Google Scholar | MathSciNet
- J. Q. Lu and J. D. Cao, “Adaptive synchronization of uncertain dynamical networks with delayed coupling,” Nonlinear Dynamics, vol. 53, no. 1-2, pp. 107–115, 2008. View at: Publisher Site | Google Scholar | MathSciNet
- F. Mainardi, “The fundamental solutions for the fractional diffusion-wave equation,” Applied Mathematics Letters, vol. 9, no. 6, pp. 23–28, 1996. View at: Publisher Site | Google Scholar | MathSciNet
- L. Beghin and E. Orsingher, “The telegraph process stopped at stable-distributed times and its connection with the fractional telegraph equation,” Fractional Calculus & Applied Analysis, vol. 6, no. 2, pp. 187–204, 2003. View at: Google Scholar | MathSciNet
- W. Zhang, X. Cai, and S. Holm, “Time-fractional heat equations and negative absolute temperatures,” Computers & Mathematics with Applications, vol. 67, no. 1, pp. 164–171, 2014. View at: Publisher Site | Google Scholar | MathSciNet
Copyright
Copyright © 2014 Ping Zhou and Rongji Bai. 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.
