activity
20102026
most citedValue of Information in Feedback Control: Quantification

59 citations · 364 across the 71 of their papers we have counts for

collaborators
Showing 2021Show all

12 papers · 1 filter

eess.SY2021★ 8 cited

Learning Swarm Interaction Dynamics from Density Evolution

Christos Mavridis, Amoolya Tirumalai, John Baras

We consider the problem of understanding the coordinated movements of biological or artificial swarms. In this regard, we propose a learning scheme to estimate the coordination law…

cs.LG2021★ 2 cited

Towards the One Learning Algorithm Hypothesis: A System-theoretic Approach

Christos Mavridis, John Baras

The existence of a universal learning architecture in human cognition is a widely spread conjecture supported by experimental findings from neuroscience. While no low-level impleme…

math.OC2021★ 1 cited

A Robust Mean-field Game of Boltzmann-Vlasov-like Traffic Flow

Amoolya Tirumalai, John S. Baras

Historically, traffic modelling approaches have taken either a particle-like (microscopic) approach, or a gas-like (meso- or macroscopic) approach. Until recently with the introduc…

math.AP2021

Weak Solutions to an Euler Alignment System with Singular Interactions in a Bounded Domain

Amoolya Tirumalai, Christos Mavridis, John S. Baras

Euler alignment systems appear as hydrodynamic limits of interacting self-propelled particle systems such as the (generalized) Cucker-Smale model. In this work, we study weak solut…

eess.SY2021

Sensor Scheduling for Linear Systems: A Covariance Tracking Approach

Dipankar Maity, David Hartman, John S. Baras

We consider the classical sensor scheduling problem for linear systems where only one sensor is activated at each time. We show that the sensor scheduling problem has a close relat…

cs.NI2021

Controller Placement in SDN-enabled 5G Satellite-Terrestrial Networks

Nariman Torkzaban, John S. Baras

SDN-enabled Integrated satellite-terrestrial networks (ISTNs), can provide several advantages including global seamless coverage, high reliability, low latency, etc. and can be a k…

eess.SY2021★ 2 cited

On the Importance of Trust in Next-Generation Networked CPS Systems: An AI Perspective

Anousheh Gholami, Nariman Torkzaban, John S. Baras

With the increasing scale, complexity, and heterogeneity of the next generation networked systems, seamless control, management, and security of such systems becomes increasingly c…

eess.SY2021

Value of information in networked control systems subject to delay

Siyi Wang, Qingchen Liu, Precious Ugo Abara +2

In this paper, we study the trade-off between the transmission cost and the control performance of the multi-loop networked control system subject to network-induced delay. Within…

eess.SY2021

Joint Satellite Gateway Deployment & Controller Placement in Software-Defined 5G-Satellite Integrated Networks

Nariman Torkzaban, John S. Baras

Several challenging optimization problems arise while considering the deployment of the space-air-ground integrated networks (SAGINs), among which the optimal satellite gateway dep…

math.OC2021★ 26 cited

Value of Information in Feedback Control: Global Optimality

Touraj Soleymani, John S. Baras, Sandra Hirche +1

The rate-regulation tradeoff, defined between two objective functions, one penalizing the packet rate and one the regulation cost, can express the fundamental performance bound of…

cs.CE2021

Semi-linear Poisson-mediated Flocking in a Cucker-Smale Model

Christos N. Mavridis, Amoolya Tirumalai, John S. Baras +1

We propose a family of compactly supported parametric interaction functions in the general Cucker-Smale flocking dynamics such that the mean-field macroscopic system of mass and mo…

cs.LG2021★ 18 cited

Online Deterministic Annealing for Classification and Clustering

Christos Mavridis, John Baras

Inherent in virtually every iterative machine learning algorithm is the problem of hyper-parameter tuning, which includes three major design parameters: (a) the complexity of the m…