Aranya Chakrabortty

Biography

My research interests span all branches of control system theory with applications to large-scale electric power systems. I am a part of the FREEDM Systems Center, currently researching several system and control-theoretic problems for the US power grid using Synchrophasor (WAMS) technology, and its integration with renewable energy sources such as wind energy.

Education

• Ph.D. 2008
  Electrical Engineering
  Rensselaer Polytechnic Institute, NY
• Master's 2005
  Electrical Engineering
  Rensselaer Polytechnic Institute, NY
• Bachelor's 2004
  Electrical Engineering
  Jadavpur University, India

Recent Publications

• Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent (2024)
• Climate Change Mitigation, Adaptation, and Resilience: Challenges and Opportunities for the Control Systems Community (2024)
• Distributed Multiagent Reinforcement Learning Based on Graph-Induced Local Value Functions (2024)
• Distributed Reinforcement Learning for Networked Dynamical Systems (2023)
• Optimal Charging Control and Incentivization Strategies for Electric Vehicles Considering Grid Dynamical Constraints (2024)
• Physics-aware Regression for DER Dispatch with Topological Reconfigurations of Radial Feeder (2024)
• Data-Driven Optimal Power Dispatch for Distributed Energy Resources in Radial Feeder using Multi-Stage Regression (2023)
• Designing Optimal Key Lengths and Control Laws for Encrypted Control Systems Based on Sample Identifying Complexity and Deciphering Time (2022)
• Game-Theoretic Mixed H₂/H_∞ Control with Sparsity Constraint for Multi-Agent Control Systems (2023)
• Hierarchical frequency and voltage control using prioritized utilization of inverter based resources (2022)