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本文研究了加性噪声指数模型描述的一类非线性系统的结构辨识问题。在文献[3]的参数估计算法基础上,通过使CIC准则函数最小化。给出了一种递推结构辨识算法。数字仿真表明该算法的收敛性,便于实际应用。
This paper studies the structural identification of a class of nonlinear systems described by the additive noise index model. Based on the parameter estimation algorithm of [3], the CIC criterion function is minimized. A recursive structure identification algorithm is given. The numerical simulation shows that the convergence of the algorithm is convenient for practical application.