一类鲁棒辨识算法的研究

提出了一种新的基本参数模型估计的辨识算法，该算法不仅辨识出一个参数点还辨识出每个参数的误差界。它将噪声界代入辨识，并在辨识过程中依据误差，动态修正辨识收敛速率及方向，以期获得满意的辨识性能。

A Kind of Robust Identification Algorithm Research

A new robust identification algorithm which is based on the estimation of parameter model,i.e.,Optimal Volume Ellipsoid parameter set identification algorithm is presented in this paper.It identifies not only a parameter point(the center of the ellipsoid) but also the error bounds of each parameter.It employs noise bounds in identification algorithm and dynamically modifies coefficients of identification convergent speed and direction in order to attain satisfactory perfomance.Digital simulation results show that is possesses high accuracy,dramatic convergent speed,excellent performance against noise and strong robustness as well as uniform convergent,which is obviously superior to traditional identification schemes.