Hierarchical estimation methods based on the penalty term for controlled autoregressive systems with colored noises
Sun, Huanqi and Xiong, Weili and Ding, Feng and Yang, Erfu (2024) Hierarchical estimation methods based on the penalty term for controlled autoregressive systems with colored noises. International Journal of Robust and Nonlinear Control, 34 (10). pp. 6804-6826. ISSN 1049-8923 (https://doi.org/10.1002/rnc.7323)
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Abstract
This article considers the parameter estimation problems for the controlled autoregressive systems interfered by moving average noises. A recursive extended gradient algorithm with penalty term is proposed by using the penalty criterion function. By introducing three fictitious output variables, the original system can be decomposed into three subsystems based on the hierarchical principle. The hierarchical recursive extended gradient algorithm with penalty term is then proposed to achieve the parameter estimation. Finally, the experimental results demonstrate the effectiveness of the proposed algorithms.
ORCID iDs
Sun, Huanqi, Xiong, Weili, Ding, Feng and Yang, Erfu ORCID: https://orcid.org/0000-0003-1813-5950;-
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Item type: Article ID code: 88832 Dates: DateEvent10 July 2024Published21 March 2024Published Online5 March 2024Accepted8 September 2023SubmittedSubjects: Technology > Manufactures Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 19 Apr 2024 12:48 Last modified: 11 Nov 2024 14:17 URI: https://strathprints.strath.ac.uk/id/eprint/88832