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自动化学报 1994
Identification of a Class of Nonlinear Systems Using Nonparametric Statistics
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Abstract:
In this paper, using nonparametric Statistics an open-loop identification algorithm for the linear dynamics with input nonlinearity is proposed in the case of the nonlinearity's structure being known a priori. Theoretical analysis results for the proposed algorithm are given. The concrete forms of the algorithm for typical systems are presented and the simulation results are given.