MLP-Based Neural Guaranteed Performance Control for MEMS Gyroscope With Logarithmic Quantizer Article Swipe
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/access.2020.2974526
In this paper, a minimum-learning-parameter (MLP) based neural control method is proposed for micro-electro-mechanical system (MEMS) gyroscope with prescribed performance and input quantization. For the first time, a logarithmic quantizer (LQ) is employed to generate smooth input control signal for MEMS gyroscope, which greatly reduces the communication data size as well as actuator bandwidth. To improve the performance of MEMS gyroscope in the presence of quantization error, a prescribed performance control scheme consisting of preselected performance boundaries and an error transformation is utilized, such that preselected transient and steady-state properties can be assured. In contrast to the neural control strategies subject to the issue of learning explosion, a MLP-based neural network (NN) is introduced to estimate the unknown uncertainties using the norm of neural weight. To eliminate the effect of quantization error induced by LQ, a robust quantized control is designed to further ensure the closed-loop system suffering from discontinuous dynamics with prescribed ultimately uniformly bounded (UUB) performance. In the end, a series of simulations are presented to validate the superiority of the proposed control methodology.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2020.2974526
- https://ieeexplore.ieee.org/ielx7/6287639/8948470/09000916.pdf
- OA Status
- gold
- Cited By
- 20
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3008015710
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3008015710Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2020.2974526Digital Object Identifier
- Title
-
MLP-Based Neural Guaranteed Performance Control for MEMS Gyroscope With Logarithmic QuantizerWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Haonan Si, Xingling Shao, Wendong ZhangList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2020.2974526Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/6287639/8948470/09000916.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://ieeexplore.ieee.org/ielx7/6287639/8948470/09000916.pdfDirect OA link when available
- Concepts
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Gyroscope, Vibrating structure gyroscope, Computer science, Artificial neural network, Control theory (sociology), Logarithm, Microelectromechanical systems, Control (management), Artificial intelligence, Mathematics, Engineering, Physics, Optoelectronics, Aerospace engineering, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
20Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 1, 2023: 2, 2022: 4, 2021: 5Per-year citation counts (last 5 years)
- References (count)
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42Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
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| primary_location.pdf_url | https://ieeexplore.ieee.org/ielx7/6287639/8948470/09000916.pdf |
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| publication_date | 2020-01-01 |
| publication_year | 2020 |
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