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Fuzzy computational control for real Chua circuit

Author

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  • Garms, Marco A.
  • Andrade, Marco T.C.
  • Caldas, Iberê L.

Abstract

We present a computational procedure to control an experimental chaotic system by applying the occasional proportional feedback (OPF) method. The method implementation uses the fuzzy theory to relate the variable correction to the necessary adjustment in the control parameter. As an application we control the chaotic attractors of the Chua circuit. We present the developed circuits and algorithms to implement this control in real time. To simplify the used procedure, we use a low resolution analog to digital converter compensated for a lowpass filter that facilitates similar applications to control other systems.

Suggested Citation

  • Garms, Marco A. & Andrade, Marco T.C. & Caldas, Iberê L., 2009. "Fuzzy computational control for real Chua circuit," Chaos, Solitons & Fractals, Elsevier, vol. 39(5), pages 2169-2178.
    • Handle: RePEc:eee:chsofr:v:39:y:2009:i:5:p:2169-2178
    DOI: 10.1016/j.chaos.2007.06.068
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    References listed on IDEAS

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    1. dos Santos, Elinei P. & Baptista, Murilo S. & Caldas, Iberê L., 2002. "Dealing with final state sensitivity for synchronous communication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 308(1), pages 101-112.
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    Cited by:

    1. Zhijian Lai & Akiko Yoshise, 2022. "Completely positive factorization by a Riemannian smoothing method," Computational Optimization and Applications, Springer, vol. 83(3), pages 933-966, December.

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