Hunter I W, Korenberg M J
Biol Cybern. 1986;55(2-3):135-44. doi: 10.1007/BF00341929.
Systems that can be represented by a cascade of a dynamic linear subsystem preceded (Hammerstein cascade model) or followed (Wiener cascade model) by a static nonlinearity are considered. Various identification schemes that have been proposed for the Hammerstein and Wiener systems are critically reviewed with reference to the special problems that arise in the identification of nonlinear biological systems. Examples of Wiener and Hammerstein systems are identified from limited duration input-output data using an iterative identification scheme.
考虑那些可以由动态线性子系统级联表示的系统，该动态线性子系统之前（哈默斯坦级联模型）或之后（维纳级联模型）接有静态非线性。针对哈默斯坦系统和维纳系统提出的各种辨识方案，结合非线性生物系统辨识中出现的特殊问题进行了批判性综述。使用迭代辨识方案，从有限时长的输入输出数据中识别出维纳系统和哈默斯坦系统的示例。
