Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Filippo Cacace"'
Publikováno v:
Bioengineering, Vol 11, Iss 8, p 813 (2024)
The objective of this study is to demonstrate the potential of a multicompartmental mathematical model to simulate the activity of the gastrointestinal system after the intake of drugs, with a limited number of parameters. The gastrointestinal system
Externí odkaz:
https://doaj.org/article/5ee946d1183849289075cb52fd3b49e3
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 11, p e1002772 (2012)
The transcriptome in a cell is finely regulated by a large number of molecular mechanisms able to control the balance between mRNA production and degradation. Recent experimental findings have evidenced that fine and specific regulation of degradatio
Externí odkaz:
https://doaj.org/article/906828ce762f4b64988fd3be19a0f70b
Publikováno v:
IEEE Transactions on Control of Network Systems. :1-11
Autor:
Alfredo Germani, Filippo Cacace
Publikováno v:
IEEE Transactions on Automatic Control. :1-13
Publikováno v:
IEEE Control Systems Letters. 6:734-739
In this work we adopt a novel formulation of the distributed parameters recursive filter for discrete-time systems evolving in $L_{2}$ spaces to widen the class of systems that can be processed by a state estimation algorithm. Starting from a rigorou
Publikováno v:
IEEE Transactions on Automatic Control. 66:5968-5973
In this paper we propose an observer for a class of Lipschitz nonlinear systems affected by time-varying and known measurement delays which is an improvement of the one presented in [9]. Under the assumption that the delay function is piece-wise cont
Publikováno v:
Medical Engineering & Physics. 98:140-150
This work focuses on a new mathematical model able to describe in a simple manner the intestinal physiology, in order to better study drug absorption and bioavailability. The aim of our model is to overcome the limitations of physiological pharmacoki
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Autor:
Stefano Battilotti, Filippo Cacace, Massimiliano daAngelo, Emanuele Della Corte, Alfredo Germani
Publikováno v:
2022 American Control Conference (ACC).
Publikováno v:
International Journal of Robust and Nonlinear Control. 31:2082-2096