no code implementations • 23 Jun 2023 • Marco Fabris, Daniel Zelazo
This work addresses multi-agent consensus networks where adverse attackers affect the convergence performances of the protocol by manipulating the edge weights.
no code implementations • 9 Mar 2023 • Zhiyong Sun, Shiyu Zhao, Daniel Zelazo
These conditions involve the spectrum and null space of the associated bearing Laplacian matrix for a directed bearing formation.
no code implementations • 2 Nov 2022 • Miel Sharf, Daniel Zelazo
We study cluster assignment in homogeneous diffusive multi-agent networks.
no code implementations • 12 Oct 2022 • Gal Barkai, Leonid Mirkin, Daniel Zelazo
In the finite-dimensional case the condition states that diffusive controllers cannot stabilize agents that share common unstable dynamics, directions included.
no code implementations • 13 Mar 2022 • Miel Sharf, Daniel Zelazo
We consider homogeneous diffusive networks, and focus on design of the graph that ensures the system will converge to a prescribed cluster configuration, i. e., specifying the number of clusters and agents within each cluster.
no code implementations • 4 Jan 2022 • Marco Fabris, Daniel Zelazo
This paper investigates the problem of communication relay establishment for multiple agent-based mobile units using a relay vehicle.
no code implementations • 30 Dec 2021 • Noam Leiter, Daniel Zelazo
In this work, a novel product form is derived for the reduction error system of these reduced models, and it is shown that any such PROM can be obtained from a sequence of 1-dimensional projection reductions.
no code implementations • 9 Jul 2021 • Marco Fabris, Daniel Zelazo
This work mainly addresses continuous-time multiagent consensus networks where an adverse attacker affects the convergence performances of said protocol.
no code implementations • 9 Nov 2019 • Miel Sharf, Daniel Zelazo
Passivity theory is one of the cornerstones of control theory, as it allows one to prove stability of a large-scale system while treating each component separately.
no code implementations • 12 Jun 2019 • Miel Sharf, Anne Koch, Daniel Zelazo, Frank Allgöwer
In this paper, we develop a data-based controller design framework for diffusively coupled systems with guaranteed convergence to an $\epsilon$-neighborhood of the desired formation.