Novel parameter estimation method for the systems with colored noises by using the filtering identification idea
Compared with the systems with white noise disturbances, the parameter identification of the systems with colored noises (i.e., correlated noises) is more difficult. In this letter, we use the model transformation to study the identification problem for the systems with colored noises by using the f...
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| Published in | Systems & control letters Vol. 186; p. 105774 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.04.2024
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| Subjects | |
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| Abstract | Compared with the systems with white noise disturbances, the parameter identification of the systems with colored noises (i.e., correlated noises) is more difficult. In this letter, we use the model transformation to study the identification problem for the systems with colored noises by using the filtering identification idea. The basic idea is to transform a system with colored noise into two identification models with white noises and then to propose a novel parameter estimation algorithms, which can generate more accurate parameter estimates than some related existing identification algorithm. The proposed method can be applied to other linear or nonlinear stochastic systems with different structures and colored disturbance noises. The provided simulation example tests the proposed algorithm. |
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| AbstractList | Compared with the systems with white noise disturbances, the parameter identification of the systems with colored noises (i.e., correlated noises) is more difficult. In this letter, we use the model transformation to study the identification problem for the systems with colored noises by using the filtering identification idea. The basic idea is to transform a system with colored noise into two identification models with white noises and then to propose a novel parameter estimation algorithms, which can generate more accurate parameter estimates than some related existing identification algorithm. The proposed method can be applied to other linear or nonlinear stochastic systems with different structures and colored disturbance noises. The provided simulation example tests the proposed algorithm. |
| ArticleNumber | 105774 |
| Author | Zhang, Xiao Ding, Feng Xu, Ling Zhu, Quanmin |
| Author_xml | – sequence: 1 givenname: Ling orcidid: 0000-0002-5040-5634 surname: Xu fullname: Xu, Ling email: xuling@cczu.edu.cn, lingxu0848@163.com organization: School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213159, China – sequence: 2 givenname: Feng surname: Ding fullname: Ding, Feng email: fding@jiangnan.edu.cn, fding12@126.com organization: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China – sequence: 3 givenname: Xiao surname: Zhang fullname: Zhang, Xiao email: xzhang@jiangnan.edu.cn, xzhang13@126.com organization: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China – sequence: 4 givenname: Quanmin surname: Zhu fullname: Zhu, Quanmin email: quan.zhu@uwe.ac.uk organization: Department of Engineering Design and Mathematics, University of the West of England, Bristol BS16 1QY, UK |
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