Parameter estimation for control systems based on impulse responses

被引：0
作者：
Ling Xu
Feng Ding
机构：
[1] Wuxi Vocational Institute of Commerce,School of Internet of Things Technology
[2] Jiangnan University,School of Internet of Things Engineering
[3] Jiangnan University,School of Internet of Things Engineering
来源：
International Journal of Control, Automation and Systems | 2017年 / 15卷
关键词：
Gradient method; iterative method; nonlinear optimization; parameter estimation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The impulse signal is an instant change signal in very short time. It is widely used in signal processing, electronic technique, communication and system identification. This paper considers the parameter estimation problems for dynamical systems by means of the impulse response measurement data. Since the cost function is highly nonlinear, the nonlinear optimization methods are adopted to derive the parameter estimation algorithms to enhance the estimation accuracy. By using the iterative scheme, the Newton iterative algorithm and the gradient iterative algorithm are proposed for estimating the parameters of dynamical systems. Also, a damping factor is introduced to improve the algorithm stability. Finally, using simulation examples, this paper analyzes and compares the merit and weakness of the proposed algorithms.
引用
收藏
页码：2471 / 2479
页数：8
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