output
20062026
most citedReal time decoherence of Landau and Levitov quasi-particles in quantum Hall edge channels

100 citations

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7 papers · 1 filter

eess.SY2021

Enforcing Safety under Actuator Attacks through Input Filtering

Cédric Escudero, Carlos Murguia, Paolo Massioni +1

Actuator injection attacks pose real threats to all industrial plants controlled through communication networks. In this manuscript, we study the possibility of constraining the co…

eess.SY2021★ 7 cited

Synchronization of Identical Boundary-Actuated Semilinear Infinite-Dimensional Systems

Francesco Ferrante, Giacomo Casadei, Christophe Prieur

This paper deals with synchronization of a class of infinite-dimensional systems. The considered network is described by a collection of semilinear Lipschitz boundary-actuated infi…

eess.SY2018

Convex LMI optimization for the uncertain power flow analysis

Khaled Laib, Anton Korniienko, Florent Morel +1

This paper investigates the uncertain power flow analysis in distribution networks within the context of renewable power resources integration such as wind and solar power. The ana…

eess.SY2018

Hierarchical Robust Analysis for Identified Systems in Network

Anton Korniienko, Xavier Bombois, Hakan Hjalmarsson +1

This technical report considers worst-case robustness analysis of a network of locally controlled uncertain systems with uncertain parameter vectors belonging to the ellipsoid sets…

eess.SY2017★ 10 cited

On a class of optimization-based robust estimators

Laurent Bako

We consider in this paper the problem of estimating a parameter matrix from observations which are affected by two types of noise components: (i) a sparse noise sequence which, whe…

eess.SY2017★ 1 cited

Flatness-based control of a two-degree-of-freedom platform with pneumatic artificial muscles

David Bou Saba, Paolo Massioni, Eric Bideaux +1

Pneumatic artificial muscles are a quite interesting type of actuators which have a very high power-to-weight and power-to-volume ratio. However, their efficient use requires very…