10 citations · 20 across the 7 of their papers we have counts for
7 papers
Cascading Waves of Fluctuation in Time-delay Multi-agent Rendezvous
Guangyi Liu, Vivek Pandey, Christoforos Somarakis +1
We develop a framework to assess the risk of cascading failures when a team of agents aims to rendezvous in time in the presence of exogenous noise and communication time-delay. Th…
Risk of Phase Incoherence in Wide Area Control of Synchronous Power Networks
Christoforos Somarakis, Guangyi Liu, Nader Motee
We develop a framework to quantify systemic risk measures in a class of Wide-Area-Control (WAC) laws in power networks in the presence of noisy and time-delayed sensory data. A clo…
Emergence of Cascading Risk and Role of Spatial Locations of Collisions in Time-Delayed Platoon of Vehicles
Guangyi Liu, Christoforos Somarakis, Nader Motee
We develop a framework to assess the risk of cascading collisions in a platoon of vehicles in the presence of exogenous noise and communication time-delay. The notion of Value-at-R…
Risk of Cascading Failures in Time-Delayed Vehicle Platooning
Guangyi Liu, Christoforos Somarakis, Nader Motee
We develop a systemic risk framework to explore cascading systemic failures in networked control systems. A time-delayed version of the vehicle platooning problem is used as a benc…
Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise
Arash Amini, Guangyi Liu, Nader Motee
Recurrent Neural networks (RNN) have shown promising potential for learning dynamics of sequential data. However, artificial neural networks are known to exhibit poor robustness in…
Distributed Map Classification using Local Observations
Guangyi Liu, Arash Amini, Martin Takáč +2
We consider the problem of classifying a map using a team of communicating robots. It is assumed that all robots have localized visual sensing capabilities and can exchange their i…
A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning
Hossein K. Mousavi, Guangyi Liu, Weihang Yuan +3
We propose a planning and perception mechanism for a robot (agent), that can only observe the underlying environment partially, in order to solve an image classification problem. A…