子集优化在非线性系统辨识中的应用

Nonlinear System Identification by Subset Optimization

提出了一种基于子集优化的非线性系统辨识方法．该方法没有对非线性系统激励信号的统计特性作任何假设，但它的计算量比现有的方法低，而对非线性系统输入输出数据量的要求也比现有的方法少．仿真结果表明。

Subset optimization is used for nonlinear system identification. The amount of input and output data is reduced. Computation is simplified without assuming particular statistics of input signal to the nonlinear system. The method is validated by the results.