Gabriella Mavelli

Gabriella Mavelli
Italian National Research Council | CNR · Institute for Systems Analysis and Computer Science "Antonio Ruberti" IASI

Electronic Engineering degree

About

24
Publications
1,304
Reads
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182
Citations
Citations since 2017
2 Research Items
69 Citations
201720182019202020212022202302468101214
201720182019202020212022202302468101214
201720182019202020212022202302468101214
201720182019202020212022202302468101214
Additional affiliations
December 2001 - present
Italian National Research Council
Position
  • Researcher

Publications

Publications (24)
Article
Full-text available
This work investigates an optimal control problem for a class of stochastic differential bilinear systems, affected by a persistent disturbance provided by a nonlinear stochastic exogenous system (nonlinear drift and multiplicative state noise). The optimal control problem aims at minimizing the average value of a standard quadratic-cost functional...
Article
Chemical Master Equations (CMEs) provide a comprehensive way to model the probabilistic behavior in biochemical networks. Despite their widespread diffusion in systems biology, the explicit computation of their solution is often avoided in favor of purely statistic Monte Carlo methods, due to the dramatically high dimension of the CME system. In th...
Article
The paper investigates the optimal linear quadratic control problem in the discrete-time framework, for stochastic systems affected by disturbances generated by a nonlinear stochastic exosystem. By applying the maximum principle to nonlinear optimal control problems, it does not admit, in general, implementable solutions. Therefore, it is worthwhil...
Article
The Chemical Master Equation (CME) provides an accurate stochastic description of complex biochemical processes in terms of probability distribution of the underlying chemical population. By reason of that, CMEs are usually considered stochastic methods for the analysis of biochemical reactions, in contrast to deterministic methods, handling bioche...
Article
Full-text available
Like other cellular modules, the secretory pathway and the Golgi complex are likely to be supervised by control systems that support homeostasis and optimal functionality under all conditions, including external and internal perturbations. Moreover, the secretory apparatus must be functionally connected with other cellular modules, such as energy m...
Conference Paper
The Chemical Master Equation (CME) is a well known tool for studying (bio)chemical processes involving few copies of the species involved, because it is a framework able to capture random behaviors that are neglected by deterministic approaches based on the concentration dynamics. In this work, we investigate some structural properties of CMEs and...
Article
The FAR1 gene encodes an 830 residue bifunctional protein, whose major function is inhibition of cyclin-dependent kinase complexes involved in the G1/S transition. FAR1 transcription is maximal between mitosis and early G1 phase. Enhanced FAR1 transcription is necessary but not sufficient for the pheromone-induced G1 arrest, since FAR1 overexpressi...
Article
In this review we summarize the major connections between cell growth and cell cycle in the model eukaryote Saccharomyces cerevisiae. In S. cerevisiae regulation of cell cycle progression is achieved predominantly during a narrow interval in the late G1 phase known as START (Pringle and Hartwell, 1981). At START a yeast cell integrates environmenta...
Article
The modern systems biology approach to the study of molecular cellular biology, consists in the development of computational tools to support the formulation of new hypotheses on the molecular mechanisms underlying the observed cell behavior. Recent biotechnologies are able to provide precise measures of gene expression time courses in response to...
Article
Large-scale "omics" data are often represented as networks of interacting components, but such representation is inherently static and, as such, cannot provide a realistic picture of the temporal dynamics of complex cellular functions. These difficulties suggest moving to a modeling strategy that explicitly takes into account both the wiring of the...
Article
This note investigates the optimal linear quadratic control problem in the discrete-time framework, for stochastic systems affected by disturbances generated by a nonlinear stochastic exosystem. The application of the maximum principle to nonlinear optimal control problems does not admit, in general, implementable solutions. Therefore, it is worthw...
Article
The paper investigates the optimal control problem for a stochastic linear di®erential system, driven by a persistent disturbance generated by a nonlinear stochastic exogenous system. The assumption of incomplete information has been assumed, that is neither the state of the system, nor the state of the exosystem are directly measurable. The standa...
Article
The stochastic regulation problem for linear systems with state- and control-dependent noise and a noisy linear output equation is considered. The optimal quadratic cost output-feedback control law in a class of linear controllers is found. This problem was first addressed in the early 1970s and solved, in the complete information case, by Wonham....
Conference Paper
Full-text available
The stochastic regulation problem for linear systems with state- and control-dependent noise and a noisy linear output equation is considered. The optimal, quadratic cost, output-feedback control law in a class of linear controllers is found. The result represent an extension to the incomplete information case of the class of optimal control proble...
Article
The filtering problem for non-Gaussian, discrete-time, linear systems with correlated uncertainty in the observation equation is investigated in the present paper. A stochastic Markov sequence of correlated Bernoulli random variables is considered as a model for the uncertainty in the measurements. For this class of systems Hadidi-Schwartz defined...
Conference Paper
Full-text available
The asymptotic properties of the filtering section in a feedback-control scheme for the stochastic regulation problem of noisy-observed linear systems with state-dependent noise, are studied in the present work. The feedback-control scheme consists in the suboptimal quadratic controller for which we proved a separation property and gave the complet...
Conference Paper
For a bilinear stochastic system described by Ito equations, the following problem is considered: find the optimal feedback control law in a class of quadratic controllers. The optimality criterion is the classical quadratic one for a fixed-interval state-regulation problem. It will be shown that the solution is a linear map of optimal-quadratic st...
Article
A new approach for the solution of the regulator problem for linear discrete-time dynamical systems with non-Gaussian disturbances is proposed. This approach generalizes a previous result concerning the definition of the quadratic optimal regulator. It consists of the definition of the polynomial optimal algorithm of an order ν for the solution of...
Article
A suboptimal approach to attack stochastic control problems, when the well known Linear-Quadratic-Gaussian (LQG) algorithm cannot be used, is proposed in this paper. The stochastic system here considered is described by an observable Ito equation with linear drift and bilinear diffusion. The aim of this paper is to provide the suboptimal linear fee...
Article
In this paper, the problem of the optimal quadratic regulator for non-Gaussian discrete-time stochastic systems with a quadratic cost function is considered. The main result here obtained is that such optimal control can be derived from the classical LQG solution by substituting the linear filtering part with a quadratic optimal filter. Numerical r...
Article
A minimax filtering problem for a class of uncertain linear stochastic systems is studied. Uncertainties involving fourth-order moments of the noise distribution and of the initial state are considered. Under the hypothesis that the second-order statistics are known (hence the linear filter is available) the quadratic minimax filter is found. Moreo...

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