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20142026
most citedReduced-Dimensional Reinforcement Learning Control using Singular Perturbation Approximations

57 citations · 136 across the 36 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.SY2019★ 2 cited

Fast Online Reinforcement Learning Control using State-Space Dimensionality Reduction

Tomonori Sadamoto, Aranya Chakrabortty, Jun-ichi Imura

In this paper, we propose a fast reinforcement learning (RL) control algorithm that enables online control of large-scale networked dynamic systems. RL is an effective way of desig…

eess.SY2019

Game-Theoretic Mixed Control with Sparsity Constraint for Multi-agent Networked Control Systems

Feier Lian, Aranya Chakrabortty, Alexandra Duel-Hallen

Multi-agent networked control systems (NCSs) are often subject to model uncertainty and are limited by large communication cost, associated with feedback of data between the system…

eess.SY2019

Sparsity-Promoting Optimal Control of Cyber-Physical Systems over Shared Communication Networks

Nandini Negi, Aranya Chakrabortty

Recent years have seen several new directions in the design of sparse control of cyber-physical systems (CPSs) driven by the objective of reducing communication cost. One common as…

eess.SY2019

A New Cyber-Secure Countermeasure for LTI systems under DoS attacks

Nilanjan Roy Chowdhury, Nandini Negi, Aranya Chakrabortty

This paper presents a new counter-measure to mitigate denial-of-service cyber-attacks in linear time-invariant (LTI) systems. We first design a sparse linear quadratic regulator (L…

eess.SY2019★ 14 cited

Modeling and Quantifying the Impact of Wind Power Penetration on Power System Coherency

Sayak Mukherjee, Aranya Chakrabortty, Saman Babaei

This paper presents a mathematical analysis of how wind generation impacts the coherency property of power systems. Coherency arises from time-scale separation in the dynamics of s…