Search Results for author: Maria Elena Valcher

Found 7 papers, 0 papers with code

Extended Full Block S-Procedure for Distributed Control of Interconnected Systems

no code implementations11 Dec 2020 Giulia De Pasquale, Yvonne R. Sturz, Maria Elena Valcher, Roy S. Smith

This paper proposes a novel method for distributed controller synthesis of homogeneous interconnected systems consisting of identical subsystems.

Tripartite and Sign Consensus for Clustering Balanced Social Networks

no code implementations8 Mar 2021 Giulia De Pasquale, Maria Elena Valcher

In this paper, we address two forms of consensus for multi-agent systems with undirected, signed, weighted, and connected communication graphs, under the assumption that the agents can be partitioned into three clusters, representing the decision classes on a given specific topic, for instance, the in favour, abstained and opponent agents.

Clustering

A Bandwagon Bias Based Model for Opinion Dynamics: Intertwining between Homophily and Influence Mechanisms

no code implementations13 Apr 2022 Giulia De Pasquale, Maria Elena Valcher

Recently a model for the interplay between homophily-based appraisal dynamics and influence-based opinion dynamics has been proposed.

On the Herdability of Linear Time-Invariant Systems with Special Topological Structures

no code implementations18 Apr 2022 Giulia De Pasquale, Maria Elena Valcher

In this paper, we investigate the herdability property, namely the capability of a system to be driven towards the (interior of the) positive orthant, for linear time-invariant state-space models.

Clustering

Modeling the Cooperative Process of Learning a Task

no code implementations18 Apr 2022 Giulia De Pasquale, Maria Elena Valcher

In this paper, we propose a mathematical model for a Transactive Memory System (TMS) involved in the cooperative process of learning a task.

Multi-dimensional extensions of the Hegselmann-Krause model

no code implementations18 Apr 2022 Giulia De Pasquale, Maria Elena Valcher

For this model, we provide an alternative proof for the contractivity of the range of opinions and show that the agents' opinions reach consensus/clustering if and only if their average opinions do so.

Distributed Data-driven Unknown-input Observers

no code implementations9 Jan 2024 Yuzhou Wei, Giorgia Disarò, Wenjie Liu, Jian Sun, Maria Elena Valcher, Gang Wang

Moving to a data-driven approach, it is shown that the input/output/state trajectories of the system are compatible with the equations of a D-DUIO, and this allows, under suitable assumptions, to express the matrices of a possible DUIO in terms of the matrices of pre-collected data.

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