IOSS Control for A Class of Switched Hopfield Neural Networks with Disturbance Input Article Swipe
This paper is concerned with the input-output-to-state stable (IOSS) controller design for switched Hopfield neural networks with disturbance input.We propose a new set of linear matrix inequality (LMI) conditions to ascertain that switched Hopfield neural networks are IOSS based on a quadratic positive semi-definite function.Switched Hopfield neural networks without disturbance input are also asymptotically stable under an additional set of LMI conditions.The proposed IOSS controller can be determined by solving a set of LMIs, which can be checked by using existing numerical algorithms.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2991/cisia-15.2015.160
- https://www.atlantis-press.com/article/22594.pdf
- OA Status
- hybrid
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W965178909
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W965178909Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2991/cisia-15.2015.160Digital Object Identifier
- Title
-
IOSS Control for A Class of Switched Hopfield Neural Networks with Disturbance InputWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-01-01Full publication date if available
- Authors
-
Choon Ki AhnList of authors in order
- Landing page
-
https://doi.org/10.2991/cisia-15.2015.160Publisher landing page
- PDF URL
-
https://www.atlantis-press.com/article/22594.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://www.atlantis-press.com/article/22594.pdfDirect OA link when available
- Concepts
-
Class (philosophy), Computer science, Disturbance (geology), Artificial neural network, Control theory (sociology), Control (management), Hopfield network, Artificial intelligence, Biology, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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24Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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