Identification of extended bilinear state space models

A. Schrempf, L. Re
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引用次数: 2

Abstract

An identification algorithm for a special model class which captures essential characteristics of many nonlinear systems is presented. Conditions are given under which this nonlinear model can be identified by use of efficient linear tools. Subspace identification is used to determine the linear part of the model and an initial estimate for the nonlinear one. The estimate of the nonlinear part is computed by a final numerical optimization step. A simulation study illustrates the applicability of the proposed method.
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扩展双线性状态空间模型的辨识
针对一类特殊的模型类,提出了一种识别非线性系统本质特征的算法。给出了用有效的线性工具识别该非线性模型的条件。子空间识别用于确定模型的线性部分和非线性部分的初始估计。非线性部分的估计由最后的数值优化步骤计算。仿真研究表明了该方法的适用性。
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