14 citations · 59 across the 35 of their papers we have counts for
9 papers · 1 filter
Learning Latent Fractional dynamics with Unknown Unknowns
Gaurav Gupta, Sergio Pequito, Paul Bogdan
Despite significant effort in understanding complex systems (CS), we lack a theory for modeling, inference, analysis and efficient control of time-varying complex networks (TVCNs)…
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…
Approximate Submodular Functions and Performance Guarantees
Gaurav Gupta, Sergio Pequito, Paul Bogdan
We consider the problem of maximizing non-negative non-decreasing set functions. Although most of the recent work focus on exploiting submodularity, it turns out that several objec…
Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis
Gaurav Gupta, Sergio Pequito, Paul Bogdan
Brain interfaces are cyber-physical systems that aim to harvest information from the (physical) brain through sensing mechanisms, extract information about the underlying processes…
Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs
Gaurav Gupta, Sergio Pequito, Paul Bogdan
This paper focuses on analysis and design of time-varying complex networks having fractional order dynamics. These systems are key in modeling the complex dynamical processes arisi…
On the Limited Communication Analysis and Design for Decentralized Estimation
Andreea B. Alexandru, Sergio Pequito, Ali Jadbabaie +1
This paper pertains to the analysis and design of decentralized estimation schemes that make use of limited communication. Briefly, these schemes equip the sensors with scalar stat…