activity
20122025
most citedStructural Systems Theory: an overview of the last 15 years

14 citations · 59 across the 35 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

math.OC2021★ 2 cited

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…

math.OC2021★ 1 cited

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…

math.OC2021

Minimum jointly structural input and output selection for strongly connected networks

Guilherme Ramos, A. Pedro Aguiar, Sérgio Pequito

In this paper, given a linear time-invariant strongly connected network, we study the problem of determining the minimum number of state variables that need to be simultaneously ac…

eess.SY2021★ 1 cited

Minimum Structural Sensor Placement for Switched Linear Time-Invariant Systems and Unknown Inputs

Emily A. Reed, Guilherme Ramos, Paul Bogdan +1

In this paper, we study the structural state and input observability of continuous-time switched linear time-invariant systems and unknown inputs. First, we provide necessary and s…

math.OC2021★ 1 cited

A scalable distributed dynamical systems approach to compute the strongly connected components and diameter of networks

Emily A. Reed, Guilherme Ramos, Paul Bogdan +1

Finding strongly connected components (SCCs) and the diameter of a directed network play a key role in a variety of discrete optimization problems, and subsequently, machine learni…

math.OC2021

Discrete-Time Fractional-Order Dynamical Networks Minimum-Energy State Estimation

Sarthak Chatterjee, Andrea Alessandretti, A. Pedro Aguiar +1

Fractional-order dynamical networks are increasingly being used to model and describe processes demonstrating long-term memory or complex interlaced dependencies amongst the spatia…

math.OC2021

On Learning Discrete-Time Fractional-Order Dynamical Systems

Sarthak Chatterjee, Sérgio Pequito

Discrete-time fractional-order dynamical systems (DT-FODS) have found innumerable applications in the context of modeling spatiotemporal behaviors associated with long-term memory.…