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Input/output linearization using dynamic recurrent neural networks

Author

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  • Delgado, A.
  • Kambhampati, C.
  • Warwick, K.

Abstract

This paper brings together two areas of research that have received considerable attention during the last years, namely feedback linearization and neural networks.

Suggested Citation

  • Delgado, A. & Kambhampati, C. & Warwick, K., 1996. "Input/output linearization using dynamic recurrent neural networks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 41(5), pages 451-460.
    • Handle: RePEc:eee:matcom:v:41:y:1996:i:5:p:451-460
    DOI: 10.1016/0378-4754(95)00092-5
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    Cited by:

    1. Delgado, Alberto, 1998. "Phase portrait approximation using dynamic neural networks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 47(1), pages 1-11.
    2. Gui, Zhanji & Yang, Xiao-Song & Ge, Weigao, 2008. "Existence and global exponential stability of periodic solutions of recurrent cellular neural networks with impulses and delays," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(1), pages 14-29.

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