Papers by Carlo Cosentino
Automatica, 2017
Abstract This paper addresses the problem of robust and optimal control for the class of nonlinea... more Abstract This paper addresses the problem of robust and optimal control for the class of nonlinear quadratic systems subject to norm-bounded parametric uncertainties and disturbances. By using an approach based on the guaranteed cost control theory, a technique is proposed to design a state feedback controller ensuring for the closed-loop system: (i) the local exponential stability of the zero equilibrium point; (ii) the inclusion of a given region into the domain of exponential stability of the equilibrium point; (iii) the satisfaction of a guaranteed level of performance, in terms of boundedness of some optimality indexes. In particular, a sufficient condition for the existence of a state feedback controller satisfying a prescribed integral–quadratic index is provided, followed by a sufficient condition for the existence of a state feedback controller satisfying a given L 2 -gain disturbance rejection constraint. By the proposed design procedures, the optimal control problems dealt with here can be efficiently solved as Linear Matrix Inequality (LMI) optimization problems.
IEEE Transactions on Control Systems Technology, 2020
Cardiovascular diseases represent, to date, the major cause of mortality worldwide. Diagnosis of ... more Cardiovascular diseases represent, to date, the major cause of mortality worldwide. Diagnosis of the most frequent of such disease, acute myocardial infarction (AMI), requires the evaluation of time-series measurement of specific cardiac biomarkers concentration. The aim of this paper is to provide the clinicians with a quantitative tool to analyze such time-series, with the final goal of enhancing the diagnostic and prognostic procedures. The proposed approach is based on a novel dynamical model, which synthetically describes the basic mechanisms underlying cardiac troponin (cTnT) release into the plasma after the onset of AMI. Leveraging tools of system identification and a data set of AMI patients treated at our University Hospital, the model has been assessed as an effective tool to quantify the characteristic release curves observed under different conditions. Furthermore, it has been shown how the devised approach is also suitable in those cases where only partial measurements are available to the clinician to recover important clinical information. Finally, an optimal experimental design analysis has been performed in order to gain insights on how to optimize the experimental data collection phase with potentially relevant implications on both the quality and cost of the diagnosis procedure.
BioMed Research International, 2016
Neurons are specialized, electrically excitable cells which use electrical to chemical signals to... more Neurons are specialized, electrically excitable cells which use electrical to chemical signals to transmit and elaborate information. Understanding how the cooperation of a great many of neurons in a grid may modify and perhaps improve the information quality, in contrast to few neurons in isolation, is critical for the rational design of cell-materials interfaces for applications in regenerative medicine, tissue engineering, and personalized lab-on-a-chips. In the present paper, we couple an integrate-and-fire model with information theory variables to analyse the extent of information in a network of nerve cells. We provide an estimate of the information in the network in bits as a function of cell density and short-term depression time. In the model, neurons are connected through a Delaunay triangulation of not-intersecting edges; in doing so, the number of connecting synapses per neuron is approximately constant to reproduce the early time of network development in planar neural...
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
This study presents a voxel-based multiple regression analysis of different magnetic resonance im... more This study presents a voxel-based multiple regression analysis of different magnetic resonance image modalities, including anatomical T1-weighted, T2* relaxometry, and diffusion tensor imaging. Quantitative parameters sensitive to complementary brain tissue alterations, including morphometric atrophy, mineralization, microstructural damage, and anisotropy loss, were compared in a linear physiological aging model in 140 healthy subjects (range 20-74 years). The performance of different predictors and the identification of the best biomarker of age-induced structural variation were compared without a priori anatomical knowledge. The best quantitative predictors in several brain regions were iron deposition and microstructural damage, rather than macroscopic tissue atrophy. Age variations were best resolved with a combination of markers, suggesting that multiple predictors better capture age-induced tissue alterations. These findings highlight the importance of a combined evaluation of multimodal biomarkers for the study of aging and point to a number of novel applications for the method described.
PLOS ONE, 2015
Despite progresses in identifying the cellular mechanisms at the basis of the differentiation of ... more Despite progresses in identifying the cellular mechanisms at the basis of the differentiation of hematopoietic stem/progenitor cells, little is known about the regulatory circuitry at the basis of lineage commitment of hematopoietic multipotent progenitors. To address this issue, we propose a computational approach to give further insights in the comprehension of this genetic mechanism. Differently from T lymphopoiesis, however, there is at present no mathematical model describing lineage restriction of multipotent progenitors to early B-cell precursors. Here, we provide a first model-constructed on the basis of current experimental evidence from literature and of publicly available microarray datasetsof the genetic regulatory network driving the cellular fate determination at the stage of lymphoid lineage commitment, with particular regard to the multipotent-B-cell progenitor transition. By applying multistability analysis methods, we are able to assess the capability of the model to capture the experimentally observed switch-like commitment behavior. These methods allow us to confirm the central role of zinc finger protein 521 (ZNF521) in this process, that we had previously reported, and to identify a novel putative functional interaction for ZNF521, which is essential to realize such characteristic behavior. Moreover, using the devised model, we are able to rigorously analyze the mechanisms underpinning irreversibility of the physiological commitment step and to devise a possible reprogramming strategy, based on the combined modification of the expression of ZNF521 and EBF1.
International Journal of Modelling, Identification and Control, 2015
A novel dynamic friction model, which allows to capture friction hysteresis with non-local memory... more A novel dynamic friction model, which allows to capture friction hysteresis with non-local memory, is presented in this paper. The model is conceived in order to find a trade-off between accuracy of the model prediction and difficulty of implementation in motion control systems with model-based friction compensation. The hysteresis function introduced into the model accounts for non-local memory, i.e., the property for which the friction output depends not only on the initial conditions but also on past extremum values of the input or the output. In comparison with other models incorporating a hysteresis function with non-local memory, the proposed model is demonstrated to reduce the number of parameters necessary to reproduce the hysteresis loops observed experimentally. Moreover, parameter identification can benefit from the availability of a closed form of the model solution.
Page 1. 8 Nerve Pathways with MR Tractography A. Cherubini, G. Luccichenti, F. Fasano, GE Hagberg... more Page 1. 8 Nerve Pathways with MR Tractography A. Cherubini, G. Luccichenti, F. Fasano, GE Hagberg, P. Péran, F. Di Salle, F. Esposito, T. Scarabino, U. Sabatini The neuroradiological interpretation of magnetic reso-nance ...
Encyclopedia of Systems Biology, 2013
Bioengineering, 2020
Interaction between medical image platform and external environment is a desirable feature in sev... more Interaction between medical image platform and external environment is a desirable feature in several clinical, research, and educational scenarios. In this work, the integration between 3D Slicer package and Arduino board is introduced, enabling a simple and useful communication between the two software/hardware platforms. The open source extension, programmed in Python language, manages the connection process and offers a communication layer accessible from any point of the medical image suite infrastructure. Deep integration with 3D Slicer code environment is provided and a basic input–output mechanism accessible via GUI is also made available. To test the proposed extension, two exemplary use cases were implemented: (1) INPUT data to 3D Slicer, to navigate on basis of data detected by a distance sensor connected to the board, and (2) OUTPUT data from 3D Slicer, to control a servomotor on the basis of data computed through image process procedures. Both goals were achieved and qu...
Nature biotechnology, Jan 7, 2015
Top-down microfabrication techniques were used to create silicon-based membranes consisting of ar... more Top-down microfabrication techniques were used to create silicon-based membranes consisting of arrays of uniform channels having a width as small as 7 nm. The measurement of diffusion kinetics of solutes across these membranes under sink conditions reveals non-Fickian behavior as the nanopore width approaches the hydrodynamic diameter of the solute. Zero-order diffusion of interferon is observed at channel width of 20 nm, and the same phenomenon occurs with albumin and 13-nm-wide channels, whereas Fickian diffusion kinetics is seen at 26 nm and larger pore sizes. A prototypical drug delivery device is described that is fitted with a 13-nm nanopore membrane and loaded with radio-labeled BSA. Following subcutaneous implantation in rats, diffusion from the device provided prolonged levels of BSA in the blood. Such a nonmechanical device offers important advantages in drug delivery applications, including zero-order release and high loading capacity. D
Gene, Jan 10, 2014
Ferritin is best known as the key molecule in intracellular iron storage, and is involved in seve... more Ferritin is best known as the key molecule in intracellular iron storage, and is involved in several metabolic processes such as cell proliferation, differentiation and neoplastic transformation. We have recently demonstrated that the shRNA silencing of the ferritin heavy subunit (FHC) in a melanoma cell line is accompanied by a consistent modification of gene expression pattern leading to a reduced potential in terms of proliferation, invasiveness, and adhesion ability of the silenced cells. In this study we sought to define the repertoire of genes whose expression might be affected by FHC during the hemin-induced differentiation of the erythromyeloid cell line K562. To this aim, gene expression profiling was performed in four different sets of cells: i) wild type K562; ii) sh-RNA FHC-silenced K562; iii) hemin-treated wild-type K562; and iv) hemin-treated FHC-silenced K562. Statistical analysis of the gene expression data, performed by two-factor ANOVA, identified three distinct cl...
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Papers by Carlo Cosentino