This page has only limited features, please log in for full access.
An epidemic multi-group model formed by interconnected SEIR-like structures is formulated and used for data fitting to gain insight into the COVID-19 dynamics and into the role of non-pharmaceutical control actions implemented to limit the infection spread since its outbreak in Italy. The single submodels provide a rather accurate description of the COVID-19 evolution in each subpopulation by an extended SEIR model including the class of asymptomatic infectives, which is recognized as a determinant for disease diffusion. The multi-group structure is specifically designed to investigate the effects of the interregional mobility restored at the end of the first strong lock-down in Italy (June 3, 2020). In its time-invariant version, the model is shown to enjoy some analytical stability properties which provide significant insights on the efficacy of the implemented control measurements. In order to highlight the impact of human mobility on the disease evolution in Italy between the first and second wave onset, the model is applied to fit real epidemiological data of three geographical macro-areas in the period March-October 2020, including the mass departure for summer holidays. The simulation results are in good agreement with the data, so that the model can represent a useful tool for predicting the effects of the combination of containment measures in triggering future pandemic scenarios. Particularly, the simulation shows that, although the unrestricted mobility alone appears to be insufficient to trigger the second wave, the human transfers were crucial to make uniform the spatial distribution of the infection throughout the country and, combined with the restart of (production, trade and education) activities, determined a time advance of the contagion increase (autumn 2020).
Paolo DI Giamberardino; Daniela Iacoviello; Federico Papa; Carmela Sinisgalli. A Data-driven Model of the COVID-19 Spread among Interconnected Populations: Epidemiological and Mobility Aspects Following the Lock-down in Italy. 2021, 1 .
AMA StylePaolo DI Giamberardino, Daniela Iacoviello, Federico Papa, Carmela Sinisgalli. A Data-driven Model of the COVID-19 Spread among Interconnected Populations: Epidemiological and Mobility Aspects Following the Lock-down in Italy. . 2021; ():1.
Chicago/Turabian StylePaolo DI Giamberardino; Daniela Iacoviello; Federico Papa; Carmela Sinisgalli. 2021. "A Data-driven Model of the COVID-19 Spread among Interconnected Populations: Epidemiological and Mobility Aspects Following the Lock-down in Italy." , no. : 1.
This paper addresses the problem of describing the spread of COVID-19 by a mathematical model introducing all the possible control actions as prevention (informative campaign, use of masks, social distancing, vaccination) and medication. The model adopted is similar to SEIQR, with the infected patients split into groups of asymptomatic subjects and isolated ones. This distinction is particularly important in the current pandemic, due to the fundamental the role of asymptomatic subjects in the virus diffusion. The influence of the control actions is considered in analysing the model, from the calculus of the equilibrium points to the determination of the reproduction number. This choice is motivated by the fact that the available organised data have been collected since from the end of February 2020, and almost simultaneously containment measures, increasing in typology and effectiveness, have been applied. The characteristics of COVID-19, not fully understood yet, suggest an asymmetric diffusion among countries and among categories of subjects. Referring to the Italian situation, the containment measures, as applied by the population, have been identified, showing their relation with the government’s decisions; this allows the study of possible scenarios, comparing the impact of different possible choices.
Paolo Di Giamberardino; Rita Caldarella; Daniela Iacoviello. A Control Based Mathematical Model for the Evaluation of Intervention Lines in COVID-19 Epidemic Spread: The Italian Case Study. Symmetry 2021, 13, 890 .
AMA StylePaolo Di Giamberardino, Rita Caldarella, Daniela Iacoviello. A Control Based Mathematical Model for the Evaluation of Intervention Lines in COVID-19 Epidemic Spread: The Italian Case Study. Symmetry. 2021; 13 (5):890.
Chicago/Turabian StylePaolo Di Giamberardino; Rita Caldarella; Daniela Iacoviello. 2021. "A Control Based Mathematical Model for the Evaluation of Intervention Lines in COVID-19 Epidemic Spread: The Italian Case Study." Symmetry 13, no. 5: 890.
The paper addresses the problem of an observer design for a nonlinear system for which a linear approach is followed for the control synthesis. The linear context driven by the control design allows to focus the observers design in the class of local, i.e. linear, observers. It is shown that when the control contains an external reference, the solution obtained working with the linear approximation to get local solutions produces non consistent results in terms of local regions of convergence for the system and for the observer. The case of a control law which solves a LQR problem with tracking is addressed and two different approaches with respect to the classical one for the observer design are studied. The results are applied to an epidemic spread control to check the differences in the performances for the two different approaches.
Paolo Di Giamberardino; Daniela Iacoviello. On Local Observer Design for LQR Problems with Tracking. Lecture Notes in Electrical Engineering 2020, 35 -60.
AMA StylePaolo Di Giamberardino, Daniela Iacoviello. On Local Observer Design for LQR Problems with Tracking. Lecture Notes in Electrical Engineering. 2020; ():35-60.
Chicago/Turabian StylePaolo Di Giamberardino; Daniela Iacoviello. 2020. "On Local Observer Design for LQR Problems with Tracking." Lecture Notes in Electrical Engineering , no. : 35-60.
The paper presents a new mathematical model for the SARS-CoV-2 virus propagation, designed to include all the possible actions to prevent the spread and to help in the healing of infected people. After a discussion on the equilibrium and stability properties of the model, the effects of each different control actions on the evolution of the epidemic spread are analysed, through numerical evaluations for a more intuitive and immediate presentation, showing the consequences on the classes of the population.
Paolo Di Giamberardino; Daniela Iacoviello. Evaluation of the effect of different policies in the containment of epidemic spreads for the COVID-19 case. Biomedical Signal Processing and Control 2020, 65, 102325 -102325.
AMA StylePaolo Di Giamberardino, Daniela Iacoviello. Evaluation of the effect of different policies in the containment of epidemic spreads for the COVID-19 case. Biomedical Signal Processing and Control. 2020; 65 ():102325-102325.
Chicago/Turabian StylePaolo Di Giamberardino; Daniela Iacoviello. 2020. "Evaluation of the effect of different policies in the containment of epidemic spreads for the COVID-19 case." Biomedical Signal Processing and Control 65, no. : 102325-102325.
The paper deals with the modelling of the COVID-19 spread among people with different age. The model introduced is a simplified version of a full age based one where the division into age based groups of the population is performed only for distinguishing the initial contagion step. An identification procedure is performed on the basis of the data acquired for the Italian case showing that the model can describe and explain the actual differences between the different aged individuals with respect to the possibility to acquire the virus.
Paolo Di Giamberardino; Daniela Iacoviello; Fabio Albano; Federico Frasca. Age Based Modelling of SARS-CoV-2 Contagion: the Italian case. 2020 24th International Conference on System Theory, Control and Computing (ICSTCC) 2020, 274 -279.
AMA StylePaolo Di Giamberardino, Daniela Iacoviello, Fabio Albano, Federico Frasca. Age Based Modelling of SARS-CoV-2 Contagion: the Italian case. 2020 24th International Conference on System Theory, Control and Computing (ICSTCC). 2020; ():274-279.
Chicago/Turabian StylePaolo Di Giamberardino; Daniela Iacoviello; Fabio Albano; Federico Frasca. 2020. "Age Based Modelling of SARS-CoV-2 Contagion: the Italian case." 2020 24th International Conference on System Theory, Control and Computing (ICSTCC) , no. : 274-279.
COVID-19 has caused more than 880.000 victims all over the world (September 2020); despite a large effort of the scientific community and of the governments, it is still a great problem, inducing most of the Nations to adopt restriction to mo-bility, social relations and economic activities. Since the beginning of the pandemic, COVID-19 appeared a rather mysterious virus, for which neither a vaccination nor specific medications exist. In this paper, COVID-19 is characterized by using the available data of total number of infected, healed and dead people to identify the contagion, the removed and the death rates. These values depend on various aspects related to the population characteristics, the general health conditions, the social and economical situations, as well as to other features not yet identified by the scientific community. The COVID-19 situation in Italy is herein explored, showing the great heterogeneity of the virus spread in different zones.
Paolo Di Giamberardino; Daniela Iacoviello. Data driven characterization of COVID-19. 2020 24th International Conference on System Theory, Control and Computing (ICSTCC) 2020, 262 -267.
AMA StylePaolo Di Giamberardino, Daniela Iacoviello. Data driven characterization of COVID-19. 2020 24th International Conference on System Theory, Control and Computing (ICSTCC). 2020; ():262-267.
Chicago/Turabian StylePaolo Di Giamberardino; Daniela Iacoviello. 2020. "Data driven characterization of COVID-19." 2020 24th International Conference on System Theory, Control and Computing (ICSTCC) , no. : 262-267.
A new measles epidemic model is proposed and identified by using real data relative to the number of confirmed infected patients in Italy in the period 1970–2018. The possibility of predicting the number of new infection is important for an efficient resource scheduling. Only in the last years great attention has been devoted to reliable data collection; therefore, in general, the model parameters identification is not an easy task. Moreover, the available data are “corrupted” by human intervention, such as prevention campaign, or, whenever possible, vaccination. In this paper, the measles model parameters are identified referring to the data of the period in which there wasn't a significant vaccination coverage; successively, the vaccination action has been identified. The results obtained appear encouraging, confirming the importance of available consistent data.
Paolo Di Giamberardino; Daniela Iacoviello. A new measles epidemic model: analysis, identification and prediction. 2020 28th Mediterranean Conference on Control and Automation (MED) 2020, 484 -489.
AMA StylePaolo Di Giamberardino, Daniela Iacoviello. A new measles epidemic model: analysis, identification and prediction. 2020 28th Mediterranean Conference on Control and Automation (MED). 2020; ():484-489.
Chicago/Turabian StylePaolo Di Giamberardino; Daniela Iacoviello. 2020. "A new measles epidemic model: analysis, identification and prediction." 2020 28th Mediterranean Conference on Control and Automation (MED) , no. : 484-489.
The analysis of singular solutions in optimal control problems is addressed. The case of systems with two inputs is investigated characterising all the possible combination of singular arcs and constant boundary values. It is described the extension to a two input system of a previously proposed procedure for computing the control along the singular arcs in a state feedback form for one input dynamics. The procedure makes use of the possibility of computation in an analytical form of the costate as a function of the state. The example of a SIRC epidemic model is used to verify the effectiveness of the result.
Paolo Di Giamberardino; Daniela Iacoviello. Singular Solution in Optimal Control for Two Input Dynamics: the case of a SIRC Epidemic Model. 2020 28th Mediterranean Conference on Control and Automation (MED) 2020, 103 -108.
AMA StylePaolo Di Giamberardino, Daniela Iacoviello. Singular Solution in Optimal Control for Two Input Dynamics: the case of a SIRC Epidemic Model. 2020 28th Mediterranean Conference on Control and Automation (MED). 2020; ():103-108.
Chicago/Turabian StylePaolo Di Giamberardino; Daniela Iacoviello. 2020. "Singular Solution in Optimal Control for Two Input Dynamics: the case of a SIRC Epidemic Model." 2020 28th Mediterranean Conference on Control and Automation (MED) , no. : 103-108.
The present work deals with an Ordinary Differential Equation (ODE) model specifically designed to describe the COVID-19 evolution in Italy. The model is particularised on the basis of National data about the infection status of the Italian population to obtain numerical solutions that effectively reproduce the real data. Our epidemic model is a classical SEIR model that incorporates two compartments of infected subpopulations, representing diagnosed and undiagnosed individuals respectively, and an additional quarantine compartment. Possible control actions representing social, political, and medical interventions are also included. The numerical results of the proposed model identification by least square fitting are analysed and commented with special emphasis on the estimation of the number of asymptomatic infective individuals. Our fitting results are in good agreement with the epidemiological data. Short and long-term predictions on the evolution of the disease are also given.
Paolo Di Giamberardino; Daniela Iacoviello; Federico Papa; Carmela Sinisgalli. Dynamical Evolution of COVID-19 in Italy With an Evaluation of the Size of the Asymptomatic Infective Population. IEEE Journal of Biomedical and Health Informatics 2020, 25, 1326 -1332.
AMA StylePaolo Di Giamberardino, Daniela Iacoviello, Federico Papa, Carmela Sinisgalli. Dynamical Evolution of COVID-19 in Italy With an Evaluation of the Size of the Asymptomatic Infective Population. IEEE Journal of Biomedical and Health Informatics. 2020; 25 (4):1326-1332.
Chicago/Turabian StylePaolo Di Giamberardino; Daniela Iacoviello; Federico Papa; Carmela Sinisgalli. 2020. "Dynamical Evolution of COVID-19 in Italy With an Evaluation of the Size of the Asymptomatic Infective Population." IEEE Journal of Biomedical and Health Informatics 25, no. 4: 1326-1332.
In this paper, a novel technique for the viscoelastic characterization of biosamples is presented. The measuring tool consists of MEMS-technology based tweezers that are used, in general, to perform micromanipulation tasks. A mechanical model is developed for the nonlinear dynamics of the microsystem, composed of the tweezers and of the sample to be analyzed. The Maxwell liquid drop constitutive law is considered for the sample. The identification of the viscoelastic parameters is performed by implementing a genetic algorithm.
Matteo Verotti; Paolo Di Giamberardino; Nicola P. Belfiore; Oliviero Giannini. A Genetic Algorithm for the Estimation of Viscoelastic Parameters of Biological Samples Manipulated by Mems Tweezers. Recent Advances in Computational Mechanics and Simulations 2020, 920 -931.
AMA StyleMatteo Verotti, Paolo Di Giamberardino, Nicola P. Belfiore, Oliviero Giannini. A Genetic Algorithm for the Estimation of Viscoelastic Parameters of Biological Samples Manipulated by Mems Tweezers. Recent Advances in Computational Mechanics and Simulations. 2020; ():920-931.
Chicago/Turabian StyleMatteo Verotti; Paolo Di Giamberardino; Nicola P. Belfiore; Oliviero Giannini. 2020. "A Genetic Algorithm for the Estimation of Viscoelastic Parameters of Biological Samples Manipulated by Mems Tweezers." Recent Advances in Computational Mechanics and Simulations , no. : 920-931.
In this chapter the problem of the interaction between groups of subjects singularly characterized by a specific infectious disease is addressed. The dynamical characteristics of an isolated population are preliminary studied, with particular reference to the equilibrium points and their stability. Then, the effects of constant inputs on the dynamics are deeply analyzed also by numerical simulations; this analysis is propaedeutic to the study of the interaction between the groups. The interactions between the different populations are modeled as additional input/output to the single group dynamics introducing total averaged effects including all the external migration effects. This approach focuses on the changes in the dynamics of one population when interactions are present without showing the global migration fluxes, but stressing the influences on each populations. Besides the simplifications of the model, this point of view may be fruitful also with respect of the design of control actions, assuming that each group can adopt the best control strategy for her/his own specific social characteristics. The epidemic case analyzed is HIV-AIDS. This choice has been made since this virus is present all over the world, but with different levels of dangerousness and number of infected patients depending on the economic, social, and cultural habits. The model used is a recently introduced one, which describes this epidemic spread considering two compartments of susceptible people, distinguished by the level of attention with respect to the virus transmission, one of the infected individuals not aware of their status, and two classes of patients, divided according to the level of infection. Additional inputs have been introduced to model fluxes of susceptible individuals and infected but not aware individuals. These effects have been reported in numerous figures showing the results of numerical simulations.
Paolo Di Giamberardino; Daniela Iacoviello. Epidemic modeling and control of HIV/AIDS dynamics in populations under external interactions: A worldwide challenge. Control Applications for Biomedical Engineering Systems 2020, 197 -249.
AMA StylePaolo Di Giamberardino, Daniela Iacoviello. Epidemic modeling and control of HIV/AIDS dynamics in populations under external interactions: A worldwide challenge. Control Applications for Biomedical Engineering Systems. 2020; ():197-249.
Chicago/Turabian StylePaolo Di Giamberardino; Daniela Iacoviello. 2020. "Epidemic modeling and control of HIV/AIDS dynamics in populations under external interactions: A worldwide challenge." Control Applications for Biomedical Engineering Systems , no. : 197-249.
In this paper the problem of the measles epidemic spread is faced considering two aspects: the presence of immunosuppressed subjects that can not be vaccinated and the possibility, for the infected patients, of getting also a complication, not dangerous by itself, but potentially fatal for infected weakened people. These two novelties are taken into account in designing and scheduling suitable control actions such as vaccination, whenever possible, prevention, quarantine and treatment, when limited resources are available. The natural framework for this study is the optimal control theory. By using the Pontryagin principle, it is shown the prevailing role of the vaccination in guaranteeing the protection to immunosuppressed individuals, as well as the importance of a prompt response of the society, such as with the adoption of a quarantine, when an epidemic spread occurs.
Paolo Di Giamberardino; Daniela Iacoviello. Modeling and control of measles epidemic spread with immunodepressed individuals and possible complications. 2019 IEEE 58th Conference on Decision and Control (CDC) 2019, 3770 -3775.
AMA StylePaolo Di Giamberardino, Daniela Iacoviello. Modeling and control of measles epidemic spread with immunodepressed individuals and possible complications. 2019 IEEE 58th Conference on Decision and Control (CDC). 2019; ():3770-3775.
Chicago/Turabian StylePaolo Di Giamberardino; Daniela Iacoviello. 2019. "Modeling and control of measles epidemic spread with immunodepressed individuals and possible complications." 2019 IEEE 58th Conference on Decision and Control (CDC) , no. : 3770-3775.
The paper studies the problem of determining the optimal control when singular arcs are present in the solution. In the general classical approach, the expressions obtained depend on the state and the costate variables at the same time, so requiring a forward-backward integration for the computation of the control. In this paper, firstly sufficient conditions on the dynamics structure are discussed, in order to have both the control and the switching function depending on the state only, computable by a simple forward integration. Then, the possibility to extend this result by means of a preliminary dynamic extension is presented. The approach has been checked and validated making use of a classical SIR epidemic model.
Paolo Di Giamberardino; Daniela Iacoviello. Direct Integrability for State Feedback Optimal Control with Singular Solutions. Lecture Notes in Electrical Engineering 2019, 482 -502.
AMA StylePaolo Di Giamberardino, Daniela Iacoviello. Direct Integrability for State Feedback Optimal Control with Singular Solutions. Lecture Notes in Electrical Engineering. 2019; ():482-502.
Chicago/Turabian StylePaolo Di Giamberardino; Daniela Iacoviello. 2019. "Direct Integrability for State Feedback Optimal Control with Singular Solutions." Lecture Notes in Electrical Engineering , no. : 482-502.
The paper deals with the modelling and the control of a job market dynamics which considers unemployed individuals and two classes of jobs: a temporary one, characterised by a lower quality of economical treatment and/or long duration assurance for the workers, and a regular one, more stable and economically more satisfactory. For each of the two classes, the active workers as well as the vacancies are considered. Control actions are introduced, representing different government efforts devoted to the quantity and the quality improvements of the work. Choices in the model are discussed and compared with literature. The numerical results of some simulations are reported to better put in evidence the results obtained.
Paolo Di Giamberardino; Barbara Bazzana; Tommaso Belvedere; Daniela Iacoviello. An optimal control approach to public investments for unemployment reduction. 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC) 2019, 744 -749.
AMA StylePaolo Di Giamberardino, Barbara Bazzana, Tommaso Belvedere, Daniela Iacoviello. An optimal control approach to public investments for unemployment reduction. 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC). 2019; ():744-749.
Chicago/Turabian StylePaolo Di Giamberardino; Barbara Bazzana; Tommaso Belvedere; Daniela Iacoviello. 2019. "An optimal control approach to public investments for unemployment reduction." 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC) , no. : 744-749.
The control of an epidemic disease consists in introducing the strategies able to reduce the number of infected subjects by means of medication/quarantine actions, and the number of the subjects that could catch the disease through an informative campaign and, when available, a vaccination strategy. Some diseases, like the influenza, do not guarantee immunity; therefore, the subjects could get ill again by different strain of the same viral subtype. The epidemic model adopted in this paper introduces the cross-immune individuals; it is known in literature as SIRC model, since the classes of susceptible (S), infected (I), removed (R) and cross-immune (C) subjects are considered. Its control is herein determined in the framework of the linear quadratic regulator, by applying to the original nonlinear model the optimal control found on the linearized system. The results appear satisfactory, and the drawback of using a control law based on the linear approximation of the system is compensated by the advantages arising from such a solution: no costate equations to be solved and a solution depending on the current state evolution which allows a feedback implementation.
Paolo Di Giamberardino; Daniela Iacoviello. A linear quadratic regulator for nonlinear SIRC epidemic model. 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC) 2019, 733 -738.
AMA StylePaolo Di Giamberardino, Daniela Iacoviello. A linear quadratic regulator for nonlinear SIRC epidemic model. 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC). 2019; ():733-738.
Chicago/Turabian StylePaolo Di Giamberardino; Daniela Iacoviello. 2019. "A linear quadratic regulator for nonlinear SIRC epidemic model." 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC) , no. : 733-738.
The paper addresses the problem of human virus spread reduction when the resources for the control actions are somehow limited. This kind of problem can be successfully solved in the framework of the optimal control theory, where the best solution, which minimizes a cost function while satisfying input constraints, can be provided. The problem is formulated in this contest for the case of the HIV/AIDS virus, making use of a model that considers two classes of susceptible subjects, the wise people and the people with incautious behaviours, and three classes of infected, the ones still not aware of their status, the pre-AIDS patients and the AIDS ones; the control actions are represented by an information campaign, to reduce the category of subjects with unwise behaviour, a test campaign, to reduce the number of subjects not aware of having the virus, and the medication on patients with a positive diagnosis. The cost function considered aims at reducing patients with positive diagnosis using as less resources as possible. Four different types of resources bounds are considered, divided into two classes: limitations on the instantaneous control and fixed total budgets. The optimal solutions are numerically computed, and the results of simulations performed are illustrated and compared to put in evidence the different behaviours of the control actions.
Paolo Di Giamberardino; Daniela Iacoviello. Optimal Control of Virus Spread under Different Conditions of Resources Limitations. Information 2019, 10, 214 .
AMA StylePaolo Di Giamberardino, Daniela Iacoviello. Optimal Control of Virus Spread under Different Conditions of Resources Limitations. Information. 2019; 10 (6):214.
Chicago/Turabian StylePaolo Di Giamberardino; Daniela Iacoviello. 2019. "Optimal Control of Virus Spread under Different Conditions of Resources Limitations." Information 10, no. 6: 214.
Mathematical modeling represents a useful instrument to describe epidemic spread and to propose useful control actions, such as vaccination scheduling, quarantine, informative campaign, and therapy, especially in the realistic hypothesis of resources limitations. Moreover, the same representation could efficiently describe different epidemic scenarios, involving, for example, computer viruses spreading in the network. In this paper, a new model describing an infectious disease and a possible complication is proposed; after deep-model analysis discussing the role of the reproduction number, an optimal control problem is formulated and solved to reduce the number of dead patients, minimizing the control effort. The results show the reasonability of the proposed model and the effectiveness of the control action, aiming at an efficient resource allocation; the model also describes the different reactions of a population with respect to an epidemic disease depending on the economic and social original conditions. The optimal control theory applied to the proposed new epidemic model provides a sensible reduction in the number of dead patients, also suggesting the suitable scheduling of the vaccination control. Future work will be devoted to the identification of the model parameters referring to specific epidemic disease and complications, also taking into account the geographic and social scenario.
Paolo Di Giamberardino; Daniela Iacoviello. Optimal Resource Allocation to Reduce an Epidemic Spread and Its Complication. Information 2019, 10, 213 .
AMA StylePaolo Di Giamberardino, Daniela Iacoviello. Optimal Resource Allocation to Reduce an Epidemic Spread and Its Complication. Information. 2019; 10 (6):213.
Chicago/Turabian StylePaolo Di Giamberardino; Daniela Iacoviello. 2019. "Optimal Resource Allocation to Reduce an Epidemic Spread and Its Complication." Information 10, no. 6: 213.
Paolo Di Giamberardino; Flavia Forconi; Daniela Iacoviello; Erika Pezzella; Alessandra Pizzuti. The influence of the choice of the cost index on the effectiveness of optimal resources allocation strategies for Hepatitis B Virus treatment. 2019 18th European Control Conference (ECC) 2019, 1 .
AMA StylePaolo Di Giamberardino, Flavia Forconi, Daniela Iacoviello, Erika Pezzella, Alessandra Pizzuti. The influence of the choice of the cost index on the effectiveness of optimal resources allocation strategies for Hepatitis B Virus treatment. 2019 18th European Control Conference (ECC). 2019; ():1.
Chicago/Turabian StylePaolo Di Giamberardino; Flavia Forconi; Daniela Iacoviello; Erika Pezzella; Alessandra Pizzuti. 2019. "The influence of the choice of the cost index on the effectiveness of optimal resources allocation strategies for Hepatitis B Virus treatment." 2019 18th European Control Conference (ECC) , no. : 1.
Paolo Di Giamberardino. Dynamic extension for direct integrability of singular solutions in optimal control problems. 2019 18th European Control Conference (ECC) 2019, 1 .
AMA StylePaolo Di Giamberardino. Dynamic extension for direct integrability of singular solutions in optimal control problems. 2019 18th European Control Conference (ECC). 2019; ():1.
Chicago/Turabian StylePaolo Di Giamberardino. 2019. "Dynamic extension for direct integrability of singular solutions in optimal control problems." 2019 18th European Control Conference (ECC) , no. : 1.
In this paper, the viscoelastic characterization of biosamples is addressed considering a measuring technique relying on the use of a MEMS techonology-based microgripper. A proper mechanical model is developed for the coupled nonlinear dynamics of the microsystem, composed of the measuring tool and the specimen to be analyzed. The Maxwell liquid drop model and the generalized Maxwell-Wiechert model are considered for the sample, and the identification of the viscoelastic parameters is performed by implementing a genetic algorithm.
M. Verotti; Paolo DI Giamberardino; Nicola Pio Belfiore; Oliviero Giannini. A genetic algorithm-based method for the mechanical characterization of biosamples using a MEMS microgripper: numerical simulations. Journal of the Mechanical Behavior of Biomedical Materials 2019, 96, 88 -95.
AMA StyleM. Verotti, Paolo DI Giamberardino, Nicola Pio Belfiore, Oliviero Giannini. A genetic algorithm-based method for the mechanical characterization of biosamples using a MEMS microgripper: numerical simulations. Journal of the Mechanical Behavior of Biomedical Materials. 2019; 96 ():88-95.
Chicago/Turabian StyleM. Verotti; Paolo DI Giamberardino; Nicola Pio Belfiore; Oliviero Giannini. 2019. "A genetic algorithm-based method for the mechanical characterization of biosamples using a MEMS microgripper: numerical simulations." Journal of the Mechanical Behavior of Biomedical Materials 96, no. : 88-95.