3 citations · 5 across the 9 of their papers we have counts for
9 papers
Agentic Workflows for Resolving Conflict Over Shared Resources: A Power Grid Application
Shiva Poudel, Thiagarajan Ramachandran, Orestis Vasios +1
The increasing use of LLM-based agents to support decision-making and control across diverse domains motivates the need for systematic deconfliction of their proposed actions. We p…
Multi-Objective Control Co-design Using Graph-Based Optimization for Offshore Wind Farm Grid Integration
Himanshu Sharma, Wei Wang, Bowen Huang +2
Offshore wind farms have emerged as a popular renewable energy source that can generate substantial electric power with a low environmental impact. However, integrating these farms…
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning
Aowabin Rahman, Arnab Bhattacharya, Thiagarajan Ramachandran +4
Search and Rescue (SAR) missions in remote environments often employ autonomous multi-robot systems that learn, plan, and execute a combination of local single-robot control action…
Optimization-Based Resiliency Verification in Microgrids via Maximal Adversarial Set Characterization
Nawaf Nazir, Thiagarajan Ramachandran, Saptarshi Bhattacharya +3
Critical energy infrastructures are increasingly relying on advanced sensing and control technologies for efficient and optimal utilization of flexible energy resources. Algorithmi…
Automated Adversary Emulation for Cyber-Physical Systems via Reinforcement Learning
Arnab Bhattacharya, Thiagarajan Ramachandran, Sandeep Banik +2
Adversary emulation is an offensive exercise that provides a comprehensive assessment of a system's resilience against cyber attacks. However, adversary emulation is typically a ma…
Learning Bounded Koopman Observables: Results on Stability, Continuity, and Controllability
Craig Bakker, Thiagarajan Ramachandran, W. Steven Rosenthal
The Koopman operator is an useful analytical tool for studying dynamical systems -- both controlled and uncontrolled. For example, Koopman eigenfunctions can provide non-local stab…
Distribution System State Estimation in the Presence of High Solar Penetration
Thiagarajan Ramachandran, Andrew Reiman, Sai Pushpak Nandanoori +2
Low-to-medium voltage distribution networks are experiencing rising levels of distributed energy resources, including renewable generation, along with improved sensing, communicati…
Identification and Validation of Virtual Battery Model for Heterogeneous Devices
Sai Pushpak Nandanoori, Indrasis Chakraborty, Thiagarajan Ramachandran +1
The potential of distributed energy resources in providing grid services can be maximized with the recent advancements in demand side control. Effective utilization of this control…
Optimal Energy Consumption Forecast for Grid Responsive Buildings: A Sensitivity Analysis
Soumya Kundu, Thiagarajan Ramachandran, Yan Chen +1
It is envisioned that building systems will become active participants in the smart grid operation by controlling their energy consumption to optimize complex criteria beyond ensur…