A Method for Parameter Identification of Combined Integrating Systems Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1155/2020/4097429
This manuscript presents a novel structure of combined integration in the process industry and proposes an efficient method for identifying its parameters. Combined integrating processes are delay-time processes that widely exist in the industry. Conventional identification methods have a low-identification accuracy, a large vibration amplitude of the identification curve, and a poor effect for this kind of process. In this paper, a new variable forgetting factor recursive least squares method was adopted to ameliorate this problem. The method could quickly track the mutation of the ideal parameters of the process and accurately identify which of the parameters has high precision, small oscillation, and a smooth curve. The simulation results indicate that the proposed method is a significant improvement compared to the ordinary recursive least squares method and the recursive least squares with a fixed forgetting factor method, and a concise program can be verified. The experimental simulation based on the actual cut tobacco rebaking industrial process shows that the proposed method has improved identification precision and the best following effect.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.1155/2020/4097429
- https://downloads.hindawi.com/journals/mpe/2020/4097429.pdf
- OA Status
- hybrid
- Cited By
- 1
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3006211393
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3006211393Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2020/4097429Digital Object Identifier
- Title
-
A Method for Parameter Identification of Combined Integrating SystemsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-02-12Full publication date if available
- Authors
-
Fan Zhi-ping, Zhengyun Ren, Angang Chen, Xue Feng, Wenbin WangList of authors in order
- Landing page
-
https://doi.org/10.1155/2020/4097429Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/mpe/2020/4097429.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://downloads.hindawi.com/journals/mpe/2020/4097429.pdfDirect OA link when available
- Concepts
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Identification (biology), Recursive least squares filter, Process (computing), Least-squares function approximation, Computer science, Ordinary least squares, System identification, Algorithm, Ideal (ethics), Control theory (sociology), Mathematical optimization, Mathematics, Machine learning, Artificial intelligence, Data mining, Statistics, Adaptive filter, Measure (data warehouse), Estimator, Philosophy, Operating system, Botany, Epistemology, Control (management), BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2022: 1Per-year citation counts (last 5 years)
- References (count)
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11Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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