3 papers
math.OC2025
Policy Gradient Method for LQG Control via Input-Output-History Representation: Convergence to -Stationary Points
Tomonori Sadamoto, Takashi Tanaka
We study the policy gradient method (PGM) for the linear quadratic Gaussian (LQG) dynamic output-feedback control problem using an input-output-history (IOH) representation of the…
math.OC2025
Co-Optimization of EV Charging Control and Incentivization for Enhanced Power System Stability
Amit Kumer Podder, Tomonori Sadamoto, Aranya Chakrabortty
We study how high charging rate demands from electric vehicles (EVs) in a power distribution grid may collectively cause poor dynamic performance, and propose a price incentivizati…
eess.SY2024
Policy Gradient Methods for Designing Dynamic Output Feedback Controllers
Tomonori Sadamoto, Takumi Hirai
This paper proposes model-based and model-free policy gradient methods (PGMs) for designing dynamic output feedback controllers for discrete-time partially observable systems. To f…