Jishnudeep Kar

College of Engineering

Works (3)

Updated: March 13th, 2024 05:01

2023 article

Reinforcement Learning based Approximate Optimal Control of Nonlinear Systems using Carleman Linearization

2023 AMERICAN CONTROL CONFERENCE, ACC, pp. 3362–3367.

By: J. Kar n, H. Bai * & A. Chakrabortty n 

TL;DR: This work develops a policy iteration-based model-free reinforcement learning (RL) control for nonlinear systems with single input that provides solutions close to the optimal control resulting from the model-based Carleman controllers. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 11, 2024

2021 journal article

EFFICIENT ALGORITHMS FOR EIGENSYSTEM REALIZATION USING RANDOMIZED SVD

SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 42(2), 1045–1072.

By: R. Minster, A. Saibaba* , J. Kar* & A. Chakrabortty* 

author keywords: eigensystem realization algorithm; system identification; singular value decomposition; randomized algorithms
TL;DR: Computationally efficient algorithms for reducing the computational cost of the SVD step by using randomized subspace iteration and exploiting the block Hankel structure of the matrix are developed. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 16, 2021

2021 article

LSTM based Denial-of-Service Resiliency for Wide-Area Control of Power Systems

2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGY EUROPE (ISGT EUROPE 2021), pp. 313–317.

By: J. Kar n & A. Chakrabortty n 

TL;DR: A long short-term memory network (LSTM) is used and predicts the magnitudes of the corresponding missing states in a completely decentralized fashion using offline training and online data updates to resolve denial-of-Service (DoS) attacks in wide-area control loops of electric power systems. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: April 4, 2022

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