一种基于试验数据的动态辨识建模方法及应用

针对大量的水下航行器使用试验数据,构建复杂非线性系统或是高维对象模型问题,提出一种动态辨识建模方法.首先对非线性离散对象建模问题进行了描述;然后提出一种搜索、聚类、模式分类和线性辨识技术相结合的模型辨识方法;最后通过一个仿真建模实例说明了该方法的有效性.

An Approach to Learning Dynamic Identification Modeling Based on the Test Data and its Application

A dynamic identification modeling based on the date of the submarine experimentation is introduced to deal with the complex nonlinear system or high dimensions system modeling. Firstly, the nonlinear discrete system modeling is described. A system modeling method exploiting the combined use of search, clustering, pattern recognition, and liner iden tification techniques is proposed for dynamic system modeling. Finally, a simulation example shows the effectiveness of the proposed modeling method.