40 citations · 100 across the 10 of their papers we have counts for
12 papers
Co-Optimization of Scheduling, Control, and Incentivization of Electric Vehicles for Improving Power System Stability
Amit Kumer Podder, Tomonori Sadamoto, Aranya Chakrabortty
We present a finite-horizon, greedy heuristic-based co-optimization and optimal control framework that jointly determines the optimized charging rates, charging times, and an optim…
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…
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…
A Globally Convergent Policy Gradient Method for Linear Quadratic Gaussian (LQG) Control
Tomonori Sadamoto, Fumiya Nakamata
We present a model-based globally convergent policy gradient method (PGM) for linear quadratic Gaussian (LQG) control. Firstly, we establish equivalence between optimizing dynamic…
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…
Input-Output History Feedback Controller for Encrypted Control with Leveled Fully Homomorphic Encryption
Kaoru Teranishi, Tomonori Sadamoto, Kiminao Kogiso
Protecting the parameters, states, and input/output signals of a dynamic controller is essential for securely outsourcing its computation to an untrusted third party. Although a fu…
Designing Optimal Key Lengths and Control Laws for Encrypted Control Systems based on Sample Identifying Complexity and Deciphering Time
Kaoru Teranishi, Tomonori Sadamoto, Aranya Chakrabortty +1
In the state-of-the-art literature on cryptography and control theory, there has been no systematic methodology of constructing cyber-physical systems that can achieve desired cont…
Fast Online Reinforcement Learning Control using State-Space Dimensionality Reduction
Tomonori Sadamoto, Aranya Chakrabortty, Jun-ichi Imura
In this paper, we propose a fast reinforcement learning (RL) control algorithm that enables online control of large-scale networked dynamic systems. RL is an effective way of desig…
Dynamic Modeling, Stability, and Control of Power Systems with Distributed Energy Resources
Tomonori Sadamoto, Aranya Chakrabortty, Takayuki Ishizaki +1
This article presents a suite of new control designs for next-generation electric smart grids. The future grid will consist of thousands of non-conventional renewable generation so…
A Retrofitting-based Supplementary Controller Design for Enhancing Damping Performance of Wind Power Systems
Tomonori Sadamoto, Aranya Chakrabortty, Takayuki Ishizaki +1
In this paper we address the growing concerns of wind power integration from the perspective of power system dynamics and stability. We propose a new retrofit control technique whe…
Retrofit Control: Localization of Controller Design and Implementation
Takayuki Ishizaki, Tomonori Sadamoto, Jun-ichi Imura +2
In this paper, we propose a retrofit control method for stable network systems. The proposed approach is a control method that, rather than an entire system model, requires a model…
Weak Resilience of Networked Control Systems
Tomonori Sadamoto, Henrik Sandberg, Bart Besselink +3
In this paper, we propose a method to establish a networked control system that maintains its stability in the presence of certain undesirable incidents on local controllers. We ca…