Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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On-line Learnign control of Nonlinear Systems Usig Local Affine Mapping-based Networks

  • Chio, Jin-Young (School of Electrical Engineering/ERC-ACI, Seoul National University) ;
  • Kim, Dong-Sung (Engineering Research Cneter for Advanced Control Instrumentations, Seoul National University)
  • Published : 1995.09.01
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Abstract

This paper proposedan on-line learning controller which can be applied to nonlinear systems. The proposed on-line learning controller is based on the universal approximation by the local affine mapping-based neural networks. It has self-organizing and learning capability to adapt itself to the new environment arising from the variation of operating point of the nonlinear system. Since the learning controller retains the knowledge of trained dynamics, it can promptly adapt itself to situations similar to the previously experienced one. This prompt adaptability of the proposed control system is illustrated through simulations.

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References

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