Surveying Uncertainty Representation: A Unified Model for Cyber-Physical Systems
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866916667822440448 |
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| author | Mäkelburg, Johannes Perez-Palacin, Diego Mirandola, Raffaela Acosta, Maribel |
| author_facet | Mäkelburg, Johannes Perez-Palacin, Diego Mirandola, Raffaela Acosta, Maribel |
| contents | Cyber-Physical Systems (CPS) operate in dynamic environments, leading to different types of uncertainty. This work provides a comprehensive review of uncertainty representations and categorizes them based on the dimensions used to represent uncertainty. Through this categorization, key gaps and limitations in existing approaches are identified. To address these issues, a Conceptual Model of Uncertainty Representations in CPS is introduced, integrating and extending existing models. Its applicability is demonstrated through examples from the automotive domain, showing its effectiveness in capturing and structuring uncertainty in real-world scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_23892 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Surveying Uncertainty Representation: A Unified Model for Cyber-Physical Systems Mäkelburg, Johannes Perez-Palacin, Diego Mirandola, Raffaela Acosta, Maribel Systems and Control Cyber-Physical Systems (CPS) operate in dynamic environments, leading to different types of uncertainty. This work provides a comprehensive review of uncertainty representations and categorizes them based on the dimensions used to represent uncertainty. Through this categorization, key gaps and limitations in existing approaches are identified. To address these issues, a Conceptual Model of Uncertainty Representations in CPS is introduced, integrating and extending existing models. Its applicability is demonstrated through examples from the automotive domain, showing its effectiveness in capturing and structuring uncertainty in real-world scenarios. |
| title | Surveying Uncertainty Representation: A Unified Model for Cyber-Physical Systems |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2503.23892 |