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Adaptive regulation and set-point tracking of the Lorenz attractor

Author

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  • Pishkenari, H.N.
  • Shahrokhi, M.
  • Mahboobi, S.H.

Abstract

In this paper, an approach is proposed for controlling the uncertain Lorenz system. Based on an identification technique, a controller is designed that guarantees the regulation of all states in the presence of system uncertainty. Since in some applications the challenging problem of output tracking is desired, we have proposed several effective set-point tracking control techniques. The control schemes that are based on the feedback linearization method, can stabilize the internal dynamics of the system. Simulation results have illustrated the effectiveness of the proposed schemes.

Suggested Citation

  • Pishkenari, H.N. & Shahrokhi, M. & Mahboobi, S.H., 2007. "Adaptive regulation and set-point tracking of the Lorenz attractor," Chaos, Solitons & Fractals, Elsevier, vol. 32(2), pages 832-846.
    • Handle: RePEc:eee:chsofr:v:32:y:2007:i:2:p:832-846
    DOI: 10.1016/j.chaos.2005.11.054
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    Cited by:

    1. Haghighatdar, F. & Ataei, M., 2009. "Adaptive set-point tracking of the Lorenz chaotic system using non-linear feedback," Chaos, Solitons & Fractals, Elsevier, vol. 40(4), pages 1938-1945.

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