M
Maria Domenica Di Benedetto
Researcher at University of L'Aquila
Publications - 154
Citations - 2722
Maria Domenica Di Benedetto is an academic researcher from University of L'Aquila. The author has contributed to research in topics: Hybrid system & Bisimulation. The author has an hindex of 25, co-authored 148 publications receiving 2385 citations. Previous affiliations of Maria Domenica Di Benedetto include Sapienza University of Rome.
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Symbolic models for nonlinear time-delay systems using approximate bisimulations
TL;DR: The main contribution of this paper is in showing that incrementally input-to-state stable time-delay systems do admit symbolic models that are approximately bisimilar to the original system, with a precision that can be rendered as small as desired.
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Nonlinear Control of a DC MicroGrid for the Integration of Photovoltaic Panels
TL;DR: A “Plug and Play” approach based on the “System of Systems” philosophy using distributed control methodologies is developed and allows to interconnect a number of elements to a DC MicroGrid as power sources, storage systems in different time scales, and loads, such as electric vehicles and the main ac grid.
Posted Content
Symbolic models for nonlinear time-delay systems using approximate bisimulations
TL;DR: In this article, the authors propose an approach based on the construction of symbolic models, where each symbolic state and each symbolic label correspond to an aggregate of continuous states and to an aggregated of input signals in the original system.
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Power management for a DC MicroGrid integrating renewables and storages
TL;DR: The controller ensures power balance and grid stability even when some devices are not controllable in terms of their power output, and environmental conditions and load vary in time.
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The matching of nonlinear models via dynamic state feedback
TL;DR: In this paper, it was shown that the solvability of model matching problems can be expressed in terms of properties of suitable invariant distributions of the model and the system. But the model matching problem is equivalent to a disturbance decoupling problem with disturbance measurement.