Eugenio Cinquemani

发表

On stochastic control up to a hitting time

John Lygeros, Debasish Chatterjee, Eugenio Cinquemani, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Local Identification of Piecewise Deterministic Models of Genetic Networks

John Lygeros, Eugenio Cinquemani, Andreas Milias-Argeitis, 2009, HSCC.

What Population Reveals about Individual Cell Identity: Single-Cell Parameter Estimation of Models of Gene Expression in Yeast

Eugenio Cinquemani, Giancarlo Ferrari-Trecate, Cristian Versari, 2016, PLoS Comput. Biol..

Inference of Quantitative Models of Bacterial Promoters from Time-Series Reporter Gene Data

Eugenio Cinquemani, Hidde de Jong, Diana Stefan, 2015, PLoS Comput. Biol..

Canalizing structure of genetic network dynamics: modelling and identification via mixed-integer programming

John Lygeros, Eugenio Cinquemani, Riccardo Porreca, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Identification of genetic network dynamics with unate structure

John Lygeros, Eugenio Cinquemani, Giancarlo Ferrari-Trecate, 2010, Bioinform..

A general framework for the identification of jump Markov linear systems

John Lygeros, Eugenio Cinquemani, Riccardo Porreca, 2007, 2007 46th IEEE Conference on Decision and Control.

Stochastic receding horizon control with output feedback and bounded controls

John Lygeros, Debasish Chatterjee, Eugenio Cinquemani, 2012, Autom..

Research Program - Analysis of integrated metabolic and gene regulatory networks

Eugenio Cinquemani, Valentin Zulkower, Hidde de Jong, 2013 .

Identification of biological models from single-cell data: A comparison between mixed-effects and moment-based inference

Eugenio Cinquemani, Giancarlo Ferrari-Trecate, Jannis Uhlendorf, 2013, 2013 European Control Conference (ECC).

Parameter identification for stochastic hybrid models of biological interaction networks

John Lygeros, Eugenio Cinquemani, Riccardo Porreca, 2007, 2007 46th IEEE Conference on Decision and Control.

Structural identification of biochemical reaction networks from population snapshot data

Eugenio Cinquemani, E. Cinquemani, 2017 .

Stochastic reaction networks with input processes: Analysis and application to gene expression inference

Eugenio Cinquemani, E. Cinquemani, 2019, Autom..

Identification of Genetic Regulatory Networks: A Stochastic Hybrid Approach

John Lygeros, Eugenio Cinquemani, Andreas Milias-Argeitis, 2008 .

Structural identification of unate-like genetic network models from time-lapse protein concentration measurements

John Lygeros, Eugenio Cinquemani, Giancarlo Ferrari-Trecate, 2010, 49th IEEE Conference on Decision and Control (CDC).

State estimation in stochastic hybrid Systems with sparse observations

Eugenio Cinquemani, Mario Micheli, 2006, IEEE Transactions on Automatic Control.

What Population Reveals About Individual Cell Identity: Single-Cell Parameter Estimation of Models of Gene Expression in Yeast: Invited Presentation at the Cassting Workshop on Games for the Synthesis of Complex Systems and 3rd International Workshop on Synthesis of Complex Parameters

Eugenio Cinquemani, Giancarlo Ferrari-Trecate, Cristian Versari, 2016 .

Stochastic reaction networks with input processes: Analysis and applications to reporter gene systems

Eugenio Cinquemani, E. Cinquemani, 2017, 1710.06259.

Stochastic receding horizon control with output feedback and bounded control inputs

John Lygeros, Debasish Chatterjee, Eugenio Cinquemani, 2010, 49th IEEE Conference on Decision and Control (CDC).

State estimation for gene networks with intrinsic and extrinsic noise: A case study on E.coli arabinose uptake dynamics

Eugenio Cinquemani, Alfonso Carta, E. Cinquemani, 2013, 2013 European Control Conference (ECC).

Parameter identification for stochastic hybrid systems using randomized optimization: A case study on subtilin production by Bacillus subtilis

John Lygeros, Eugenio Cinquemani, Konstantinos Koutroumpas, 2008 .

Towards Real-Time Control of Gene Expression at the Single Cell Level: A Stochastic Control Approach

Eugenio Cinquemani, Alessandro Abate, Alfonso Carta, 2014, CMSB.

Probabilistic regulation in stochastic hybrid systems subject to safety constraints

John Lygeros, Debasish Chatterjee, Eugenio Cinquemani, 2009, ADHS.

Identifiability and Reconstruction of Biochemical Reaction Networks from Population Snapshot Data

Eugenio Cinquemani, E. Cinquemani, 2018, Processes.

Inheritance and variability of kinetic gene expression parameters in microbial cells: modeling and inference from lineage tree data

Eugenio Cinquemani, Marc Lavielle, Aline Marguet, 2019, Bioinform..

Identification, estimation and control of gene expression and metabolic network dynamics. (Identification, estimation et contrôle des dynamiques d'expression génique et des réseaux métaboliques)

Eugenio Cinquemani, E. Cinquemani, 2019 .

Optimal control of bacterial growth for metabolite production: The role of timing and costs of control

Eugenio Cinquemani, Jean-Luc Gouzé, Hidde de Jong, 2019, 2019 18th European Control Conference (ECC).

Identification of metabolic network models from incomplete high-throughput datasets

Eugenio Cinquemani, Matteo Brilli, Hidde de Jong, 2011, Bioinform..

Numerical analysis of FRAP experiments for DNA replication and repair

John Lygeros, Eugenio Cinquemani, Zoi Lygerou, 2008, 2008 47th IEEE Conference on Decision and Control.

On convexity of stochastic optimization problems with constraints

John Lygeros, Debasish Chatterjee, Eugenio Cinquemani, 2009, 2009 European Control Conference (ECC).

Estimation of time-varying growth, uptake and excretion rates from dynamic metabolomics data

Eugenio Cinquemani, Hidde de Jong, Delphine Ropers, 2017, Bioinform..

Wavelet estimation by Bayesian thresholding and model selection

Eugenio Cinquemani, Gianluigi Pillonetto, G. Pillonetto, 2008, Autom..

Enhanced production of heterologous proteins by a synthetic microbial community: Conditions and trade-offs

Eugenio Cinquemani, Jean-Luc Gouzé, Hidde de Jong, 2020, bioRxiv.

On Observability and Reconstruction of Promoter Activity Statistics from Reporter Protein Mean and Variance Profiles

Eugenio Cinquemani, E. Cinquemani, 2016, HSB.

Stochastic dynamics of genetic networks: modelling and parameter identification

John Lygeros, Eugenio Cinquemani, Andreas Milias-Argeitis, 2008, Bioinform..

Convexity and convex approximations of discrete-time stochastic control problems with constraints

John Lygeros, Debasish Chatterjee, Eugenio Cinquemani, 2011, Autom..

Reconstruction of promoter activity statistics from reporter protein population snapshot data

Eugenio Cinquemani, E. Cinquemani, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Estimation Problems in Jump Markov Systems

Eugenio Cinquemani, E. Cinquemani, 2005 .

A superposition principle for the Kalman filter

Eugenio Cinquemani, 2006, Syst. Control. Lett..

Subtilin Production by Bacillus Subtilis: Stochastic Hybrid Models and Parameter Identification

John Lygeros, Eugenio Cinquemani, Giancarlo Ferrari-Trecate, 2008, IEEE Transactions on Automatic Control.

Inference of protein kinetics by stochastic modeling and simulation of fluorescence recovery after photobleaching experiments

John Lygeros, Eugenio Cinquemani, Maria Anna Rapsomaniki, 2014, Bioinform..

Reconstructing Statistics of Promoter Switching from Reporter Protein Population Snapshot Data

Eugenio Cinquemani, E. Cinquemani, 2015, HSB.

of biological models from single-cell data: a comparison between mixed-eects and moment-based inference

Eugenio Cinquemani, Giancarlo Ferrari-Trecate, Jannis Uhlendorf, 2013 .

Validation methods for population models of gene expression dynamics

Eugenio Cinquemani, Giancarlo Ferrari-Trecate, Andres M. Gonzalez-Vargas, 2016 .

Fault detection in a class of stochastic hybrid systems

Eugenio Cinquemani, Giorgio Picci, Mario Micheli, 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

Structural and practical identifiability of approximate metabolic network models

Eugenio Cinquemani, Hidde de Jong, Daniel Kahn, 2012 .

State Estimation and Prediction in a Class of Stochastic Hybrid Systems

Eugenio Cinquemani, Giorgio Picci, Mario Micheli, 2004 .

Mathematical modelling of microbes: metabolism, gene expression and growth

Eugenio Cinquemani, Jean-Luc Gouzé, Stefano Casagranda, 2017, Journal of The Royal Society Interface.

STOCHASTIC CONTROL UP TO A HITTING TIME: OPTIMALITY AND ROLLING-HORIZON IMPLEMENTATION

John Lygeros, Debasish Chatterjee, Eugenio Cinquemani, 2008 .

Stochastic MPC with output feedback and bounded control inputs

John Lygeros, Debasish Chatterjee, Eugenio Cinquemani, 2010 .

Maximizing the probability of attaining a target prior to extinction

John Lygeros, Debasish Chatterjee, Eugenio Cinquemani, 2009, 0904.4143.