2 citations · 4 across the 4 of their papers we have counts for
5 papers · 1 filter
Distributed Graph Augmentation Protocols to Achieve Strong Connectivity in Multi-Agent Networks
Guilherme Ramos, Diogo Poças, Sérgio Pequito
In multi-agent systems, strong connectivity of the communication network is often crucial for establishing consensus protocols, which underpin numerous applications in decision-mak…
Distributed design of deterministic discrete-time privacy preserving average consensus for multi-agent systems through network augmentation
Guilherme Ramos, A. Pedro Aguiar, Soummya Kar +1
Average consensus protocols emerge with a central role in distributed systems and decision-making such as distributed information fusion, distributed optimization, distributed esti…
Fractional cyber-neural systems -- a brief survey
Emily Reed, Sarthak Chatterjee, Guilherme Ramos +2
Neurotechnology has made great strides in the last 20 years. However, we still have a long way to go to commercialize many of these technologies as we lack a unified framework to s…
Minimum Cost Input/Output Design for Large Scale Linear Structural Systems
Sergio Pequito, A. Pedro Aguiar, Soummya Kar
In this paper, we provide optimal solutions to two different (but related) input/output design problems involving large-scale linear dynamical systems, where the cost associated to…
On the Complexity of the Constrained Input Selection Problem for Structural Linear Systems
Sergio Pequito, Soummya Kar, A. Pedro Aguiar
This paper studies the problem of, given the structure of a linear-time invariant system and a set of possible inputs, finding the smallest subset of input vectors that ensures sys…