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非线性生物系统的识别：LNL级联模型

The identification of nonlinear biological systems: LNL cascade models.

作者信息

Korenberg M J, Hunter I W

出版信息

Biol Cybern. 1986;55(2-3):125-34. doi: 10.1007/BF00341928.

DOI:10.1007/BF00341928
PMID:3801533
Abstract

Systems that can be represented by a cascade of a dynamic linear (L), a static nonlinear (N) and a dynamic linear (L) subsystem are considered. Various identification schemes that have been proposed for these LNL systems are critically reviewed with reference to the special problems that arise in the identification of nonlinear biological systems. A simulated LNL system is identified from limited duration input-output data using an iterative identification scheme.

摘要

考虑可以由动态线性（L）、静态非线性（N）和动态线性（L）子系统级联表示的系统。针对这些LNL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严格审查。使用迭代辨识方案从有限时长的输入输出数据中辨识一个模拟的LNL系统。

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