activity
20162022
most citedSymmetries and Cluster Synchronization in Multilayer Networks

135 citations · 377 across the 14 of their papers we have counts for

collaborators

18 papers

eess.SY2022

Reply to comment on "Failure of the simultaneous block diagonalization technique applied to complete and cluster synchronization of random networks"

Shirin Panahi, Nelson Amaya, Isaac Klickstein +2

We respond briefly to a comment [1, arXiv:2110.15493] recently posted online on our paper [2, arXiv:2108.07893]. Complete and cluster synchronization of random networks is undoubte…

eess.SY2021★ 1 cited

Cluster Synchronization of Networks via a Canonical Transformation for Simultaneous Block Diagonalization of Matrices

Shirin Panahi, Isaac Klickstein, Francesco Sorrentino

We study cluster synchronization of networks and propose a canonical transformation for simultaneous block diagonalization of matrices that we use to analyze stability of the clust…

cond-mat.dis-nn2021★ 6 cited

Failure of the simultaneous block diagonalization technique applied to complete and cluster synchronization of random networks

Shirin Panahi, Nelson Amaya, Isaac Klickstein +2

We discuss here the application of the simultaneous block diagonalization (SBD) of matrices to the study of the stability of both complete and cluster synchronization in random (ge…

math.OC2020★ 12 cited

Selecting Energy Efficient Inputs using Graph Structure

Isaac Klickstein, Francesco Sorrentino

Selecting appropriate inputs for systems described by complex networks is an important but difficult problem that largely remains open in the field of control of networks. Recent w…

nlin.CD2020★ 135 cited

Symmetries and Cluster Synchronization in Multilayer Networks

F. Della Rossa, L. Pecora, K. Blaha +3

Real-world systems in epidemiology, social sciences, power transportation, economics and engineering are often described as multilayer networks. Here we first define and compute th…

math.OC2020★ 9 cited

Controlling network ensembles

Isaac Klickstein, Francesco Sorrentino

The field of optimal control typically requires the assumption of perfect knowledge of the system one desires to control, which is an unrealistic assumption for biological systems,…

eess.SY2019★ 16 cited

Stability Analysis of Reservoir Computers Dynamics via Lyapunov Functions

Afroza Shirin, Isaac S. Klickstein, Francesco Sorrentino

A Lyapunov design method is used to analyze the nonlinear stability of a generic reservoir computer for both the cases of continuous-time and discrete-time dynamics. Using this met…

physics.soc-ph2019★ 28 cited

Symmetry Induced Group Consensus

Isaac Klickstein, Louis Pecora, Francesco Sorrentino

There has been substantial work studying consensus problems for which there is a single common final state, although there are many real-world complex networks for which the comple…

q-bio.TO2018★ 23 cited

Optimal Regulation of Blood Glucose Level in Type I Diabetes using Insulin and Glucagon

Afroza Shirin, Fabio Della Rossa, Isaac Klickstein +2

The Glucose-Insulin-Glucagon nonlinear model [1-4] accurately describes how the body responds to exogenously supplied insulin and glucagon in patients affected by Type I diabetes.…

physics.soc-ph2018

Control Distance and Energy Scaling of Complex Networks

Isaac Klickstein, Francesco Sorrentino

It has recently been shown that the average energy required to control a subset of nodes in a complex network scales exponentially with the cardinality of the subset. While the mea…

math.CO2018

Generating Graphs with Symmetry

Isaac Klickstein, Francesco Sorrentino

In the field of complex networks and graph theory, new results are typically tested on graphs generated by a variety of algorithms such as the Erdős-Rényi model or the Barabási-Alb…

eess.SY2018

Optimal Input Placement in Lattice Graphs

Isaac Klickstein, Francesco Sorrentino

The control of dynamical, networked systems continues to receive much attention across the engineering and scientific research fields. Of particular interest is the proper way to d…

eess.SY2018

Control Energy of Lattice Graphs

Isaac Klickstein, Francesco Sorrentino

The control of complex networks has generated a lot of interest in a variety of fields from traffic management to neural systems. A commonly used metric to compare two particular c…

eess.SY2018

Prediction of Optimal Drug Schedules for Controlling Autophagy

Afroza Shirin, Isaac Klickstein, Song Feng +3

The effects of molecularly targeted drug perturbations on cellular activities and fates are difficult to predict using intuition alone because of the complex behaviors of cellular…

eess.SY2018★ 5 cited

Optimal Control of Networks in the presence of Attackers and Defenders

Ishan Kafle, Sudarshan Bartaula, Afroza Shirin +3

We consider the problem of a dynamical network whose dynamics is subject to external perturbations (`attacks') locally applied at a subset of the network nodes. We assume that the…

physics.soc-ph2018

Energy Scaling with Control Distance in Complex Networks

Isaac Klickstein, Ishan Kafle, Sudarshan Bartaula +1

It has recently been shown that the expected energy requirements of a control action applied to a complex network scales exponentially with the number of nodes that are targeted. W…

math.OC2017★ 43 cited

Locally Optimal Control of Complex Networks

Isaac Klickstein, Afroza Shirin, Francesco Sorrentino

It has recently been shown that the minimum energy solution of the control problem for a linear system produces a control trajectory that is nonlocal. An issue then arises when the…

eess.SY2016★ 99 cited

Energy Scaling of Targeted Optimal Control of Complex Networks

Isaac S. Klickstein, Afroza Shirin, Francesco Sorrentino

Recently it has been shown that the control energy required to control a dynamical complex network is prohibitively large when there are only a few control inputs. Most methods to…