World Scientific
  • Search
  •   
Skip main navigation

Cookies Notification

We use cookies on this site to enhance your user experience. By continuing to browse the site, you consent to the use of our cookies. Learn More
×
https://doi.org/10.1142/S0218127421501108Cited by:2 (Source: Crossref)

Based on the theory of symbolic dynamical systems, we propose a novel computation method to locate and stabilize the unstable periodic points (UPPs) in a two-dimensional dynamical system with a Smale horseshoe. This method directly implies a new framework for controlling chaos. By introducing the subset based correspondence between a planar dynamical system and a symbolic dynamical system, we locate regions sectioned by stable and unstable manifolds comprehensively and identify the specified region containing a UPP with the particular period. Then Newton’s method compensates the accurate location of the UPP with the regional information as an initial estimation. On the other hand, the external force control (EFC) is known as an effective method to stabilize the UPPs. By applying the EFC to the located UPPs, robust controlling chaos is realized. In this framework, we never use ad hoc approaches to find target UPPs in the given chaotic set. Moreover, the method can stabilize UPPs with the specified period regardless of the situation where the targeted chaotic set is attractive. As illustrative numerical experiments, we locate and stabilize UPPs and the corresponding unstable periodic orbits in a horseshoe structure of the Duffing equation. In spite of the strong instability of UPPs, the controlled orbit is robust and the control input retains being tiny in magnitude.

References

  • Aihara, K., Takabe, T. & Toyoda, M. [1990] “ Chaotic neural networks,” Phys. Lett. A 144, 333–340. Crossref, Web of ScienceGoogle Scholar
  • Farantos, S. C. [1995] “ Methods for locating periodic orbits in highly unstable systems,” J. Molecul. Struct.: THEOCHEM 341, 91–100. Crossref, Web of ScienceGoogle Scholar
  • Habutsu, T., Nishio, Y., Sasase, I. & Mori, S. [1990] “ A secret key cryptosystem using a chaotic map,” IEICE Trans. E73, 1041–1044. Google Scholar
  • Huang, T., Han, X. & Lu, J. [2008] “ Chaos predication method based on Lyapunov exponent and its application in water quality forecast,” J. Xi’an Univ. Architect. Technol. (Nat. Sci. Ed.) 40, 846–851. Google Scholar
  • Kittel, A., Parisi, J. & Pyragas, K. [1995] “ Delayed feedback control of chaos by self-adapted delay time,” Phys. Lett. A 198, 433–436. Crossref, Web of ScienceGoogle Scholar
  • Kovacic, I. & Brennan, M. J. [2011] The Duffing Equation: Nonlinear Oscillators and Their Behaviour (John Wiley & Sons). CrossrefGoogle Scholar
  • Mahmoud, G. M., Arafa, A. A., Abed-Elhameed, T. M. & Mahmoud, E. E. [2017] “ Chaos control of integer and fractional orders of chaotic Burke–Shaw system using time delayed feedback control,” Chaos Solit. Fract. 104, 680–692. Crossref, Web of ScienceGoogle Scholar
  • Myneni, K., Barr, T., Corron, N. & Pethel, S. [1999] “ New method for the control of fast chaotic oscillations,” Phys. Rev. Lett. 83, 2175. Crossref, Web of ScienceGoogle Scholar
  • Nakajima, H. [1997] “ On analytical properties of delayed feedback control of chaos,” Phys. Lett. A 232, 207–210. Crossref, Web of ScienceGoogle Scholar
  • Ott, E., Grebogi, C. & Yorke, J. [1990] “ Controlling chaos,” Phys. Rev. Lett. 64, 1196. Crossref, Web of ScienceGoogle Scholar
  • Pyragas, K. [1992] “ Continuous control of chaos by self-controlling feedback,” Phys. Lett. A 170, 421–428. Crossref, Web of ScienceGoogle Scholar
  • Rajasekar, S. & Lakshmanan, M. [1993] “ Algorithms for controlling chaotic motion: Application for the BVP oscillator,” Physica D 67, 282–300. Crossref, Web of ScienceGoogle Scholar
  • Sabuco, J., Zambrano, S. & Sanjuán, M. [2010] “ Partial control of chaotic transients using escape times,” New J. Phys. 12, 113038. Crossref, Web of ScienceGoogle Scholar
  • Smale, S. [2000] “Diffeomorphisms with many periodic points,” The Collected Papers of Stephen Smale: Volume 2 (World Scientific), pp. 636–653. Google Scholar
  • Stojanovski, T. & Kocarev, L. [2001] “ Chaos-based random number generators-part I: analysis [cryptography],” IEEE Trans. Circuits Systs. 48, 281–288. Crossref, Web of ScienceGoogle Scholar
  • Ueta, T., Ito, D. & Aihara, K. [2015] “ Can a pseudo periodic orbit avoid a catastrophic transition? Int. J. Bifurcation and Chaos 25, 1550185-1–10. Link, Web of ScienceGoogle Scholar
  • Yi, L., Liu, Y. & Yu, W. [2019] “ Combination of improved OGY and guiding orbit method for chaos control,” J. Adv. Comput. Intell. Intell. Inform. 23, 847–855. Crossref, Web of ScienceGoogle Scholar
  • Zambrano, S. & Sanjuán, M. [2009] “ Exploring partial control of chaotic systems,” Phys. Rev. E 79, 026217. Crossref, Web of ScienceGoogle Scholar