activity
20162020
most citedEquivalence Notions for Discrete-Time Stochastic Linear Control Systems

1 citations · 2 across the 3 of their papers we have counts for

collaborators

10 papers

eess.SY2020

String Stability of a Vehicular Platoon with the use of Macroscopic Information

Marco Mirabilio, Alessio Iovine, Elena De Santis +2

We investigate the possibility to use macroscopic information to improve control performance of a vehicular platoon composed of autonomous vehicles. A general mesoscopic traffic mo…

eess.SY2020

On the utilization of Macroscopic Information for String Stability of a Vehicular Platoon

Marco Mirabilio, Alessio Iovine, Elena De Santis +2

The use of macroscopic information for the control of a vehicular platoon composed of autonomous vehicles is investigated. A mesoscopic control law is provided, and String Stabilit…

eess.SY2017

Secure Mode Distinguishability for Switching Systems Subject to Sparse Attacks

Gabriella Fiore, Elena De Santis, Maria Domenica Di Benedetto

Switching systems are an important mathematical formalism when dealing with Cyber-Physical Systems (CPSs). In this paper we provide conditions for the exact reconstruction of the i…

math.OC2017

On Approximate Diagnosability of Nonlinear Systems

Elena De Santis, Giordano Pola, Maria Domenica Di Benedetto

This paper deals with diagnosability of discrete-time nonlinear systems with unknown inputs and quantized outputs. We propose a novel notion of diagnosability that we term approxim…

math.OC2016★ 1 cited

Equivalence Notions for Discrete-Time Stochastic Linear Control Systems

Giordano Pola, Costanzo Manes, Arjan J. van der Schaft +1

In this paper we propose definitions of equivalence via stochastic bisimulation and of equivalence of stochastic external behavior for the class of discrete-time stochastic linear…

eess.SY2016

Safe Human-Inspired Mesoscopic Hybrid Automaton for Autonomous Vehicles

Alessio Iovine, Francesco Valentini, Elena De Santis +2

In this paper a mesoscopic hybrid model, i.e. a microscopic hybrid model that takes into account macroscopic parameters, is introduced for designing a human-inspired Adaptive Cruis…