Novel nonlinear system identification method based on kernel function

Jun Li Liang, Shu Yuan Yang, Yuan Hang Zhang

科研成果: 期刊稿件文章同行评审

摘要

A novel algorithm is presented based on kernel function to identify the nonlinear system. This approach requires no priori information about the system inputs and outputs (SIO), and discovers the system's model configuration by estimating the density, clustering the SIO data, and getting the kernels respectively. Then the SIO data are projected into high-dimensional space based on these kernels. The system's parameters are got via the recursive least square method. Several simulation results are presented to support the effectiveness of the proposed adaptive algorithms.

源语言英语
页(从-至)1878-1879+1965
期刊Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
27
11
出版状态已出版 - 11月 2005
已对外发布

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