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

• 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)
• Data-Driven Optimal Power Dispatch for Distributed Energy Resources in Radial Feeder using Multi-Stage Regression (2023)
• Distributed Reinforcement Learning for Networked Dynamical Systems (2023)
• Game-Theoretic Mixed H₂/H_∞ Control with Sparsity Constraint for Multi-Agent Control Systems (2023)
• Power Flow Optimization Redesign for Transient Stability Enhancement (2023)
• Reinforcement Learning based Approximate Optimal Control of Nonlinear Systems using Carleman Linearization (2023)
• Robust and Scalable Game-theoretic Security Investment Methods for Voltage Stability of Power Systems (2023)
• A Robust Stackelberg Game for Cyber-Security Investment in Networked Control Systems (2022)
• Data-Adaptive Retrofit Control for Power System Stabilizer Design (2022)