Paper
Identification Accuracy Analysis under Prior Parameters Known in Second Order System
- Authors:
- Yan-xiang Wang; Yong-hong Zhu; Zhi-feng Xiao; Jian-hong Wang
- Abstract
- In this paper, the identification accuracy of unknown parameters are analyzed in one second order system. The asymptotic covariance expressions about unknown parameters are derived by using the matrix inversion formula. When one or two parameters are known, the asymptotic covariance expressions corresponding to other parameters are derived. By comparing these asymptotic covariance expressions, we find that the identification accuracy of other parameters did not show any improvement if one parameter is known previously. Also, if each parameter of the other three is known, the identification accuracy of other parameters improves. Finally, the efficiency of the proposed strategy can be confirmed by the simulation example results.
- Keywords
- Second Order System; Prior Parameter; System Identification; Accuracy Analysis
- StartPage
- 62
- EndPage
- 73
- Doi
- 10.18005/JCSE0401007