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| Hauptverfasser: | , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2507.10138 |
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| _version_ | 1866918091093442560 |
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| author | Beltrami, Veronica Consolini, Luca Laurini, Mattia Milanesi, Marco Schiavo, Michele Visioli, Antonio |
| author_facet | Beltrami, Veronica Consolini, Luca Laurini, Mattia Milanesi, Marco Schiavo, Michele Visioli, Antonio |
| contents | This work addresses the problem of linear system realizations by mammillary models, offering necessary and sufficient conditions under which a given transfer function can be represented in this form. While standard identifi cation techniques may yield transfer functions without an explicit connection to underlying physiological processes, com partmental models, particularly mammillary ones, reflect the physiological dynamics of distribution and elimination. This feature is especially relevant in clinical pharmacology, where model parameters must correspond to meaningful biological processes to support interpretability, personalization, and safe drug delivery, such as in total intravenous anesthesia. To conclude, an application to a propofol infusion model illustrates how mammillary realizations can support physiologically inter pretable system representations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_10138 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | System Realizations by Mammillary Models with an Application to Propofol Pharmacokinetics Beltrami, Veronica Consolini, Luca Laurini, Mattia Milanesi, Marco Schiavo, Michele Visioli, Antonio Optimization and Control This work addresses the problem of linear system realizations by mammillary models, offering necessary and sufficient conditions under which a given transfer function can be represented in this form. While standard identifi cation techniques may yield transfer functions without an explicit connection to underlying physiological processes, com partmental models, particularly mammillary ones, reflect the physiological dynamics of distribution and elimination. This feature is especially relevant in clinical pharmacology, where model parameters must correspond to meaningful biological processes to support interpretability, personalization, and safe drug delivery, such as in total intravenous anesthesia. To conclude, an application to a propofol infusion model illustrates how mammillary realizations can support physiologically inter pretable system representations. |
| title | System Realizations by Mammillary Models with an Application to Propofol Pharmacokinetics |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2507.10138 |