5 citations · 6 across the 7 of their papers we have counts for
7 papers
A Novel Online Pseudospectral Method for Approximation of Nonlinear Systems Dynamics
Arian Yousefian, Avimanyu Sahoo, Vignesh Narayanan
This note presents an online pseudospectral method for system identification using Chebyshev polynomial basis under aperiodic sampling. The system dynamics are approximated piecewi…
Interpretable Design of Reservoir Computing Networks using Realization Theory
Wei Miao, Vignesh Narayanan, Jr-Shin Li
The reservoir computing networks (RCNs) have been successfully employed as a tool in learning and complex decision-making tasks. Despite their efficiency and low training cost, pra…
Cooperative Deep -learning Framework for Environments Providing Image Feedback
Krishnan Raghavan, Vignesh Narayanan, Jagannathan Sarangapani
In this paper, we address two key challenges in deep reinforcement learning setting, sample inefficiency and slow learning, with a dual NN-driven learning approach. In the proposed…
Learning to Control using Image Feedback
Krishnan Raghavan, Vignesh Narayanan, Jagannathan Saraangapani
Learning to control complex systems using non-traditional feedback, e.g., in the form of snapshot images, is an important task encountered in diverse domains such as robotics, neur…
Moment-Based Ensemble Control
Vignesh Narayanan, Wei Zhang, Jr-Shin Li
Controlling a large population, in the limit, a continuum, of structurally identical dynamical systems with parametric variations is a pervasive task in diverse applications in sci…
Disentangling Drift- and Control- Vector Fields for Interpretable Inference of Control-affine Systems
Vignesh Narayanan, Wei Miao, Jr-Shin Li
Many engineered as well as naturally occurring dynamical systems do not have an accurate mathematical model to describe their dynamic behavior. However, in many applications, it is…
Plan or not: Remote Human-robot Teaming with Incomplete Task Information
Vignesh Narayanan, Yu Zhang, Nathaniel Mendoza +1
Human-robot interaction can be divided into two categories based on the physical distance between the human and robot: remote and proximal. In proximal interaction, the human and r…