3 citations · 5 across the 11 of their papers we have counts for
11 papers
Control of SIR Epidemics: Sacrificing Optimality for Feasibility
Baike She, Lei Xin, Shreyas Sundaram +1
We study the impact of parameter estimation and state measurement errors on a control framework for optimally mitigating the spread of epidemics. We capture the epidemic spreading…
Submodular Information Selection for Hypothesis Testing with Misclassification Penalties
Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram
We consider the problem of selecting an optimal subset of information sources for a hypothesis testing/classification task where the goal is to identify the true state of the world…
Robust Online Covariance and Sparse Precision Estimation Under Arbitrary Data Corruption
Tong Yao, Shreyas Sundaram
Gaussian graphical models are widely used to represent correlations among entities but remain vulnerable to data corruption. In this work, we introduce a modified trimmed-inner-pro…
Learning Linearized Models from Nonlinear Systems with Finite Data
Lei Xin, George Chiu, Shreyas Sundaram
Identifying a linear system model from data has wide applications in control theory. The existing work on finite sample analysis for linear system identification typically uses dat…
Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles
Jiaming Wang, Jiqian Dong, Sikai Chen +2
The exponential growth of electric vehicles (EVs) presents novel challenges in preserving battery health and in addressing the persistent problem of vehicle range anxiety. To addre…
Multi-Robot Persistent Monitoring: Minimizing Latency and Number of Robots with Recharging Constraints
Ahmad Bilal Asghar, Shreyas Sundaram, Stephen L. Smith
In this paper we study multi-robot path planning for persistent monitoring tasks. We consider the case where robots have a limited battery capacity with a discharge time . We re…