activity
20132021
most citedCooperative Curve Tracking in Two Dimensions Without Explicit Estimation of the Field Gradient

5 citations · 9 across the 10 of their papers we have counts for

collaborators

10 papers

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

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.…

math.OC2019

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…

math.OC2019

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…

math.OC2019

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…

math.OC2018

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…

math.OC2018

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…

eess.SY2017★ 5 cited

Cooperative Curve Tracking in Two Dimensions Without Explicit Estimation of the Field Gradient

Sarthak Chatterjee, Wencen Wu

We design a control law for two agents to successfully track a level curve in the plane without explicitly estimating the field gradient. The velocity of each agent is decomposed a…

cs.OH2013★ 3 cited

Stacked Patch Antenna With Cross Slot Electronic Band Gap Structure

N. S Raghava, Asok De, Nitish Kataria +1

A cross slotted electronic band gap (EBG) with stacked rectangular patches shorted with a shorting pin is proposed in this paper. The study is being done on how the various paramet…