Deepan Muthirayan

Orcid: 0000-0002-7218-4545

According to our database1, Deepan Muthirayan authored at least 40 papers between 2016 and 2024.

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Bibliography

2024
Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach.
CoRR, 2024

2023
Memory Augmented Neural Network Adaptive Controllers: Performance and Stability.
IEEE Trans. Autom. Control., February, 2023

Online Convex Optimization With Long-Term Constraints for Predictable Sequences.
IEEE Control. Syst. Lett., 2023

Scalable Grid-Aware Dynamic Matching using Deep Reinforcement Learning.
CoRR, 2023

Competing Bandits in Time Varying Matching Markets.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Online Learning for Incentive-Based Demand Response.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Change Point Detection Approach for Online Control of Unknown Time Varying Dynamical Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Online Algorithms for Network Robustness Under Connectivity Constraints.
IEEE Trans. Netw. Sci. Eng., 2022

Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions.
IEEE Trans. Intell. Transp. Syst., 2022

Graph Learning for Cognitive Digital Twins in Manufacturing Systems.
IEEE Trans. Emerg. Top. Comput., 2022

Hierarchical Temporal Memory-Based One-Pass Learning for Real-Time Anomaly Detection and Simultaneous Data Prediction in Smart Grids.
IEEE Trans. Dependable Secur. Comput., 2022

Spatiotemporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction.
IEEE Internet Things J., 2022

Adaptive Control of Unknown Time Varying Dynamical Systems with Regret Guarantees.
CoRR, 2022

Online Learning for Predictive Control with Provable Regret Guarantees.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Meta-Learning Online Control for Linear Dynamical Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

On the Performance of Reinforcement Learning Algorithms for Dynamic Matching of Renewable Energy with Flexible Loads.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Adaptive Gradient Online Control.
Proceedings of the American Control Conference, 2022

2021
Selling Demand Response Using Options.
IEEE Trans. Smart Grid, 2021

Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems.
IEEE Trans. Ind. Informatics, 2021

Online Algorithms for Dynamic Matching Markets in Power Distribution Systems.
IEEE Control. Syst. Lett., 2021

Online Robust Control of Linear Dynamical Systems with Prediction.
CoRR, 2021

Online Learning for Receding Horizon Control with Provable Regret Guarantees.
CoRR, 2021

Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction.
CoRR, 2021

Online Learning Robust Control of Nonlinear Dynamical Systems.
CoRR, 2021

Generative Adversarial Imitation Learning for Empathy-based AI.
CoRR, 2021

Dynamic Matching Markets in Power Grid: Concepts and Solution using Deep Reinforcement Learning.
CoRR, 2021

Cognitive Digital Twin for Manufacturing Systems.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
Mechanism Design for Demand Response Programs.
IEEE Trans. Smart Grid, 2020

A Minimal Incentive-Based Demand Response Program With Self Reported Baseline Mechanism.
IEEE Trans. Smart Grid, 2020

Cognitive Preadaptation for Resilient Adaptive Control.
CoRR, 2020

Meta-Learning Guarantees for Online Receding Horizon Control.
CoRR, 2020

Regret Guarantees for Online Receding Horizon Control.
CoRR, 2020

Hierarchical Temporal Memory Based Machine Learning for Real-Time, Unsupervised Anomaly Detection in Smart Grid: WiP Abstract.
Proceedings of the 11th ACM/IEEE International Conference on Cyber-Physical Systems, 2020

Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers.
Proceedings of the 2020 American Control Conference, 2020

2019
Memory Augmented Neural Network Adaptive Controller for Strict Feedback Nonlinear Systems.
CoRR, 2019

Working Memory Augmentation for Improved Learning in Neural Adaptive Control.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Effect of Real-Time Electricity Pricing on Ancillary Service Requirements.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018

Baseline Estimation and Scheduling for Demand Response.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2016
Mechanism design for self-reporting baselines in Demand Response.
Proceedings of the 2016 American Control Conference, 2016


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