14 citations · 59 across the 35 of their papers we have counts for
29 papers · 1 filter
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 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…
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…
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…
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.…
Structural Systems Theory: an overview of the last 15 years
Guilherme Ramos, A. Pedro Aguiar, Sergio Pequito
In this paper, we provide an overview of the research conducted in the context of structural systems since the latest survey by Dion et al. in 2003. We systematically consider all…
Fractional-Order Model Predictive Control for Neurophysiological Cyber-Physical Systems: A Case Study using Transcranial Magnetic Stimulation
Orlando Romero, Sarthak Chatterjee, Sérgio Pequito
Fractional-order dynamical systems are used to describe processes that exhibit temporal long-term memory and power-law dependence of trajectories. There has been evidence that comp…
Finite-dimensional control of linear discrete-time fractional-order systems
Andrea Alessandretti, Sergio Pequito, George J. Pappas +1
This paper addresses the design of finite-dimensional feedback control laws for linear discrete-time fractional-order systems with additive state disturbance. A set of sufficient c…
A Separation Principle for Discrete-Time Fractional-Order Dynamical Systems and its Implications to Closed-loop Neurotechnology
Sarthak Chatterjee, Orlando Romero, Sérgio Pequito
Closed-loop neurotechnology requires the capability to predict the state evolution and its regulation under (possibly) partial measurements. There is evidence that neurophysiologic…
Analysis of a Generalized Expectation-Maximization Algorithm for Gaussian Mixture Models: A Control Systems Perspective
Sarthak Chatterjee, Orlando Romero, Sérgio Pequito
The Expectation-Maximization (EM) algorithm is one of the most popular methods used to solve the problem of parametric distribution-based clustering in unsupervised learning. In th…
Network Design for Controllability Metrics
Cassiano O. Becker, Sérgio Pequito, George J. Pappas +1
In this paper, we consider the problem of tuning the edge weights of a networked system described by linear time-invariant dynamics. We assume that the topology of the underlying n…
Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory
Orlando Romero, Sarthak Chatterjee, Sérgio Pequito
In this paper, we propose a dynamical systems perspective of the Expectation-Maximization (EM) algorithm. More precisely, we can analyze the EM algorithm as a nonlinear state-space…
Dealing with State Estimation in Fractional-Order Systems under Artifacts
Sarthak Chatterjee, Sérgio Pequito
Fractional-order dynamical systems are used to describe processes that exhibit long-term memory with power-law dependence. Notable examples include complex neurophysiological signa…
Resilient Structural Stabilizability of Undirected Networks
Jingqi Li, Ximing Chen, Sérgio Pequito +2
In this paper, we consider the structural stabilizability problem of undirected networks. More specifically, we are tasked to infer the stabilizability of an undirected network fro…
Structural Target Controllability of Undirected Networks
Jingqi Li, Ximing Chen, Sérgio Pequito +2
In this paper, we study the target controllability problem of networked dynamical systems, in which we are tasked to steer a subset of network states towards a desired objective. M…
Selective Strong Structural Minimum Cost Resilient Co-Design for Regular Descriptor Linear Systems
Nipun Popli, Sergio Pequito, Soummya Kar +2
This paper addresses the problem of minimum cost resilient actuation-sensing-communication co-design for regular descriptor systems while ensuring selective strong structural syste…
Decentralized Observability with Limited Communication between Sensors
Andreea B. Alexandru, Sergio Pequito, Ali Jadbabaie +1
In this paper, we study the problem of jointly retrieving the state of a dynamical system, as well as the state of the sensors deployed to estimate it. We assume that the sensors p…
Analysis and Design of Actuation-Sensing-Communication Interconnection Structures towards Secured/Resilient Closed-loop Systems
Sergio Pequito, Farshad Khorrami, Prashanth Krishnamurthy +1
This paper considers the analysis and design of resilient/robust decentralized control systems. Specifically, we aim to assess how the pairing of sensors and actuators lead to arch…
Static Output Feedback: On Essential Feasible Information Patterns
J. Frederico Carvalho, Sergio Pequito, A. Pedro Aguiar +2
In this paper, for linear time-invariant plants, where a collection of possible inputs and outputs are known a priori, we address the problem of determining the communication betwe…
Minimum Number of Probes for Brain Dynamics Observability
Sergio Pequito, Paul Bogdan, George J. Pappas
In this paper, we address the problem of placing sensor probes in the brain such that the system dynamics' are generically observable. The system dynamics whose states can encode f…
Structural Minimum Controllability Problem for Linear Continuous-Time Switching Systems
Sergio Pequito, George J. Pappas
This paper addresses a structural design problem in control systems, and explicitly takes into consideration the possible application to large-scale systems. More precisely, we aim…
Minimum Sensor Placement for Robust Observability of Structured Complex Networks
Xiaofei Liu, Sergio Pequito, Soummya Kar +2
This paper addresses problems on the robust structural design of complex networks. More precisely, we address the problem of deploying the minimum number of dedicated sensors, i.e.…
Distributed Verification of Structural Controllability for Linear Time-Invariant Systems
Joao Carvalho, Sergio Pequito, A. Pedro Aguiar +2
Motivated by the development and deployment of large-scale dynamical systems, often composed of geographically distributed smaller subsystems, we address the problem of verifying t…