11 citations · 64 across the 40 of their papers we have counts for
15 papers · 1 filter
Reward-Rate Congestion Games and Replicator--Dinkelbach Dynamics
Hassan Abdelraouf, Vaibhav Srivastava, Vijay Gupta
Reward rate is a key performance criterion in cyber-physical and robotic systems where time, workload, and coordination costs are limiting resources. We introduce reward-rate conge…
Robustness and Centrality in Markov-switching Networks
Sarah H. Cen, Vaibhav Srivastava, Naomi Ehrich Leonard
We investigate how time-varying interactions, modeled via a Markov switching graph (MSG), impact the robustness of noisy multi-agent dynamics in both continuous- and discrete-time…
A Multi-Fidelity Bayesian Approach to Safe Controller Design
Ethan Lau, Vaibhav Srivastava, Shaunak D. Bopardikar
Safely controlling unknown dynamical systems is one of the biggest challenges in the field of control. Oftentimes, an approximate model of a system's dynamics exists which provides…
Coupled Evolutionary Behavioral and Disease Dynamics under Reinfection Risk
Abhisek Satapathi, Narendra Kumar Dhar, Ashish R. Hota +1
We study the interplay between epidemic dynamics and human decision making for epidemics that involve reinfection risk; in particular, the susceptible-infected-susceptible (SIS) an…
Towards Modeling Human Motor Learning Dynamics in High-Dimensional Spaces
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan +1
Designing effective rehabilitation strategies for upper extremities, particularly hands and fingers, warrants the need for a computational model of human motor learning. The presen…
Epidemic Propagation under Evolutionary Behavioral Dynamics: Stability and Bifurcation Analysis
Abhisek Satapathi, Narendra Kumar Dhar, Ashish R. Hota +1
We consider the class of SIS epidemic models in which a large population of individuals chooses whether to adopt protection or to remain unprotected as the epidemic evolves. For a…
Cloud-Assisted Nonlinear Model Predictive Control for Finite-Duration Tasks
Nan Li, Kaixiang Zhang, Zhaojian Li +2
Cloud computing creates new possibilities for control applications by offering powerful computation and storage capabilities. In this paper, we propose a novel cloud-assisted model…
In-flight actuator failure recovery of a hexrotor via multiple models and extended high-gain observers
Connor J. Boss, Vaibhav Srivastava
We study an in-flight actuator failure recovery problem for a hexrotor UAV. The hexrotor may experience external disturbances and modeling error, which are accounted for in the con…
A High-Gain Observer Approach to Robust Trajectory Estimation and Tracking for a Multi-rotor UAV
Connor J Boss, Vaibhav Srivastava
Using the context of trajectory estimation and tracking for multi-rotor unmanned aerial vehicles (UAVs), we explore the challenges in applying high-gain observers to highly dynamic…
Robust tracking of an unknown trajectory with a multi-rotor UAV: A high-gain observer approach
C. J. Boss, V. Srivastava, H. K. Khalil
We study a trajectory tracking problem for a multi-rotor in the presence of modeling error and external disturbances. The desired trajectory is unknown and generated from a referen…
SIS Epidemic Model under Mobility on Multi-layer Networks
Vishal Abhishek, Vaibhav Srivastava
We study the influence of heterogeneous mobility patterns in a population on the SIS epidemic model. In particular, we consider a patchy environment in which each patch comprises i…
Design of Robust Path-Following Control System for Self-driving Vehicles Using Extended High-Gain Observer
Yasir K. Al-Nadawi, Hothaifa Al-Qassab, Daniel Kent +3
In the real-world, self-driving vehicles are required to achieve steering maneuvers in both uncontrolled and uncertain environments while maintaining high levels of safety and pass…
On Epidemic Spreading under Mobility on Networks
Vishal Abhishek, Vaibhav Srivastava
We study a coupled epidemic-mobility model in which, at each time, individuals move in a network of spatially-distributed regions (sub-populations) according to a Continuous Time M…
Distributed Cooperative Decision-Making in Multiarmed Bandits: Frequentist and Bayesian Algorithms
Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard
We study distributed cooperative decision-making under the explore-exploit tradeoff in the multiarmed bandit (MAB) problem. We extend the state-of-the-art frequentist and Bayesian…
On Distributed Cooperative Decision-Making in Multiarmed Bandits
Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard
We study the explore-exploit tradeoff in distributed cooperative decision-making using the context of the multiarmed bandit (MAB) problem. For the distributed cooperative MAB probl…