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 eess.SYShow all

24 papers · 1 filter

eess.SY2023

Safe Collective Control under Noisy Inputs and Competing Constraints via Non-Smooth Barrier Functions

Clinton Enwerem, John S. Baras

We consider the problem of safely coordinating ensembles of identical autonomous agents to conduct complex missions with conflicting safety requirements and under noisy control inp…

eess.SY2023

Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning

Armin Lederer, Erfaun Noorani, John S. Baras +1

Humans have the ability to deviate from their natural behavior when necessary, which is a cognitive process called response inhibition. Similar approaches have independently receiv…

eess.SY2023★ 2 cited

Consensus-Based Leader-Follower Formation Tracking for Control-Affine Nonlinear Multiagent Systems

Clinton Enwerem, John S. Baras

In the typical multiagent formation tracking problem centered on consensus, the prevailing assumption in the literature is that the agents' nonlinear models can be approximated by…

eess.SY2023

PASA: A Priori Adaptive Splitting Algorithm for the Split Delivery Vehicle Routing Problem

Nariman Torkzaban, Anousheh Gholami, John S. Baras +1

The split delivery vehicle routing problem (SDVRP) is a relaxed variant of the capacitated vehicle routing problem (CVRP) where the restriction that each customer is visited precis…

eess.SY2023

Learning Agent Interactions from Density Evolution in 3D Regions With Obstacles

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

In this work, we study the inverse problem of identifying complex flocking dynamics in a domain cluttered with obstacles. We get inspiration from animal flocks moving in complex wa…

eess.SY2023

Mobile Network Slicing under Demand Uncertainty: A Stochastic Programming Approach

Anousheh Gholami, Nariman Torkzaban, John S. Baras

Network slicing enables the deployment of multiple dedicated virtual sub-networks, i.e. slices on a shared physical infrastructure. Unlike traditional one-size-fits-all resource pr…

eess.SY2023★ 2 cited

Distributed Optimal Formation Control for an Uncertain Multiagent System in the Plane

Clinton Enwerem, John Baras, Danilo Romero

In this paper, we present a distributed optimal multiagent control scheme for quadrotor formation tracking under localization errors. Our control architecture is based on a leader-…

eess.SY2023

Capacitated Beam Placement for Multi-beam Non-Geostationary Satellite Systems

Nariman Torkzaban, Asim Zoulkarni, Anousheh Gholami +1

Non-geostationary (NGSO) satellite communications systems have attracted a lot of attention both from industry and academia, over the past several years. Beam placement is among th…

eess.SY2022★ 1 cited

Risk-Sensitive Reinforcement Learning with Exponential Criteria

Erfaun Noorani, Christos Mavridis, John Baras

While reinforcement learning has shown experimental success in a number of applications, it is known to be sensitive to noise and perturbations in the parameters of the system, lea…

eess.SY2022★ 13 cited

Annealing Optimization for Progressive Learning with Stochastic Approximation

Christos Mavridis, John Baras

In this work, we introduce a learning model designed to meet the needs of applications in which computational resources are limited, and robustness and interpretability are priorit…

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…

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…

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…

eess.SY2020

Event-triggered Feedback Control for Signal Temporal Logic Tasks

Lars Lindemann, Dipankar Maity, John S. Baras +1

A framework for the event-triggered control synthesis under signal temporal logic (STL) tasks is proposed. In our previous work, a continuous-time feedback control law was designed…

eess.SY2020

Delay-sensitive Joint Optimal Control and Resource Management in Multi-loop Networked Control Systems

Mohammad H. Mamduhi, Dipankar Maity, Sandra Hirche +2

In the operation of networked control systems, where multiple processes share a resource-limited and time-varying cost-sensitive network, communication delay is inevitable and prim…

eess.SY2020

Order Effects of Measurements in Multi-Agent Hypothesis Testing

Aneesh Raghavan, John S. Baras

In multi-agent systems, agents observe data, and use them to make inferences and take actions. As a result sensing and control naturally interfere, more so from a real-time perspec…

eess.SY2020

Cooperative Hypothesis Testing by Two Observers with Asymmetric Information

Aneesh Raghavan, John S. Baras

We consider the binary hypothesis testing problem with two observers. There are two possible states of nature (or hypotheses). Observations collected by the two observers are stati…

eess.SY2019

Event-triggered Add-on Safety for Connected and Automated Vehicles Using Road-side Network Infrastructure

Mohammad H. Mamduhi, Ehsan Hashemi, John S. Baras +1

This paper proposes an event-triggered add-on safety mechanism to adjust the control parameters for timely braking in a networked vehicular system while maintaining maneuverability…

eess.SY2016★ 6 cited

Timed Automata Approach for Motion Planning Using Metric Interval Temporal Logic

Yuchen Zhou, Dipankar Maity, John S. Baras

In this paper, we consider the robot motion (or task) planning problem under some given time bounded high level specifications. We use metric interval temporal logic (MITL), a memb…

eess.SY2015

Reachable Set Approach to Collision Avoidance for UAVs

Yuchen Zhou, John S. Baras

In this paper, we propose a reachable set based collision avoidance algorithm for unmanned aerial vehicles (UAVs). UAVs have been deployed for agriculture research and management,…

eess.SY2015★ 17 cited

Optimal Mission Planner with Timed Temporal Logic Constraints

Yuchen Zhou, Dipankar Maity, John S. Baras

In this paper, we present an optimization based method for path planning of a mobile robot subject to time bounded temporal constraints, in a dynamic environment. Temporal logic (T…

eess.SY2010

Selfish Response to Epidemic Propagation

George Theodorakopoulos, Jean-Yves Le Boudec, John S. Baras

An epidemic spreading in a network calls for a decision on the part of the network members: They should decide whether to protect themselves or not. Their decision depends on the t…