4 papers
Scalable Networked Feature Selection with Randomized Algorithm for Robot Navigation
Vivek Pandey, Arash Amini, Guangyi Liu +4
We address the problem of sparse selection of visual features for localizing a team of robots navigating an unknown environment, where robots can exchange relative position measure…
Data-Driven Distributionally Robust Mitigation of Risk of Cascading Failures
Guangyi Liu, Arash Amini, Vivek Pandey +1
We introduce a novel data-driven method to mitigate the risk of cascading failures in delayed discrete-time Linear Time-Invariant (LTI) systems. Our approach involves formulating a…
Quantification of Distributionally Robust Risk of Cascade of Failures in Platoon of Vehicles
Vivek Pandey, Guangyi Liu, Arash Amini +1
Achieving safety is a critical aspect of attaining autonomy in a platoon of autonomous vehicles. In this paper, we propose a distributionally robust risk framework to investigate c…
Space-Time Sampling for Network Observability
Hossein K. Mousavi, Qiyu Sun, Nader Motee
Designing sparse sampling strategies is one of the important components in having resilient estimation and control in networked systems as they make network design problems more co…