The Gradient-Based Iterative Estimation Algorithms for Bilinear Systems with Autoregressive Noise

被引：1
|
作者：
Meihang Li
Ximei Liu
Feng Ding
机构：
[1] Qingdao University of Science and Technology,College of Automation and Electronic Engineering
来源：
Circuits, Systems, and Signal Processing | 2017年 / 36卷
关键词：
Parameter estimation; Iterative identification; Gradient search; Filtered identification; Bilinear system;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper considers the parameter identification problem of bilinear systems, which are a special class of nonlinear systems. The basic idea is giving the input–output representation of the bilinear system through eliminating the state variables in the system. By using the hierarchical identification principle and the data filtering technique, we derive a gradient-based iterative (GI) algorithm, a hierarchical GI algorithm and a filtering-based GI algorithm for identifying the parameters of bilinear systems with colored noises. The simulation results indicate that the proposed algorithms are effective for identifying bilinear systems.
引用
收藏
页码：4541 / 4568
页数：27
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