Nonparametric Identification of Linear Dynamic Output-errors Systems
This paper deals with the nonparametric identification of linear dynamic systems within an output-error framework. In the system, the input is an arbitrate signal cover a broad enough frequency band, while the output is disturbed by a filtered white noise with unknown variance. Since the full maximu...
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| Veröffentlicht in: | International journal of control, automation, and systems automation, and systems, 2022-12, Vol.20 (12), p.3932-3939 |
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| container_title | International journal of control, automation, and systems |
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| creator | Sun, Qing Zou, Siting Du, Dajun Fei, Minrui |
| description | This paper deals with the nonparametric identification of linear dynamic systems within an output-error framework. In the system, the input is an arbitrate signal cover a broad enough frequency band, while the output is disturbed by a filtered white noise with unknown variance. Since the full maximum likelihood method used in the frequency domain causes calculation complexity, this paper develops a nonparametric method to cope with the complexity. According to the property that the frequency response function and the system leakage term can be locally approximated very well via a low-order degree polynomial, a frequency domain estimator is developed, which can obtain the estimates for the frequency response function and the output noise variance. Finally, the parameters identification results for one real model can validate the effectiveness of the new proposed nonparametric method. |
| doi_str_mv | 10.1007/s12555-020-0401-1 |
| format | Article |
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In the system, the input is an arbitrate signal cover a broad enough frequency band, while the output is disturbed by a filtered white noise with unknown variance. Since the full maximum likelihood method used in the frequency domain causes calculation complexity, this paper develops a nonparametric method to cope with the complexity. According to the property that the frequency response function and the system leakage term can be locally approximated very well via a low-order degree polynomial, a frequency domain estimator is developed, which can obtain the estimates for the frequency response function and the output noise variance. 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| ispartof | International journal of control, automation, and systems, 2022-12, Vol.20 (12), p.3932-3939 |
| issn | 1598-6446 2005-4092 |
| language | eng |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | Arbitration Complexity Control Dynamical systems Engineering Frequencies Frequency domain analysis Frequency response functions Mechatronics Nonparametric statistics Parameter identification Polynomials Regular Papers Robotics White noise |
| title | Nonparametric Identification of Linear Dynamic Output-errors Systems |
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