kumoh national institute of technology
Networked Systems Lab.

J.Y.Choi and D.-S. Kim, "On-line Learning Control of Nonlinear Systems using Local Affine Mapping-based Networks," Journal of Fuzzy and Intelligent Control System, Vol.5 , No.3, pp. 3-10, 1995.
By : 관리자
Date : 2008-05-14
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This paper proposes an 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.

Available online: https://www.researchgate.net/publication/264075712_On-line_Learnign_control_of_Nonlinear_Systems_Usig_Local_Affine_Mapping-based_Networks