Research projects
Connecting control and optimization methods with power system applications.
Optimal reduction of networked systems
I study how to construct smaller models of second-order networked systems while preserving their network structure. My work considers semistable dynamics, clustering and projection methods, and optimization based on H2 approximation error.
A key challenge is balancing model accuracy with structural constraints and the computational cost of Lyapunov equality constraints.
Grid-forming inverter control
My research interests include virtual oscillator control and synchronization of grid-forming inverters. This direction connects nonlinear control with the dynamics of inverter-based power systems.