Co-Optimization of EV Charging Control and Incentivization for Enhanced Power System Stability
Policy Gradient Methods for Designing Dynamic Output Feedback Controllers
Distributed Reinforcement Learning for Networked Dynamical Systems
Input-Output History Feedback Controller for Encrypted Control with Leveled Fully Homomorphic Encryption
On Equivalence of Data Informativity for Identification and Data-Driven Control of Partially Observable Systems
Data-Dependent Analysis of Model Validation Errors in Linear System Identification
Designing Optimal Key Lengths and Control Laws for Encrypted Control Systems based on Sample Identifying Complexity and Deciphering Time
Fast Real-Time Reinforcement Learning for Partially-Observable Large-Scale Systems
Enhancing Controllability of Wind Farms Against Parametric Resonance: A Series Compensation Approach
Optimal Power Flow Design for Enhancing Dynamic Performance: Potentials of Reactive Power
Fast Online Reinforcement Learning Control using State-Space Dimensionality Reduction
Improving Controllability and Plug-and-Play Operation of Wind Farms Using B2B Converters
Damping Performance Improvement for PV-Integrated Power Grids via Retrofit Control
Dynamic Modeling, Stability, and Control of Power Systems with Distributed Energy Resources
Retrofit Control: Localization of Controller Design and Implementation
Retrofit Control of Wind-Integrated Power Systems
Average State Observers for Large-Scale Network Systems
Interval Quadratic Programming for Day-Ahead Dispatch of Uncertain Predicted Demand
Spatiotemporally Multiresolutional Optimization Toward Supply-Demand-Storage Balancing Under PV Prediction Uncertainty
Hierarchical Distributed Stabilization of Power Networks
Optimal Charging Control and Incentivization Strategies for Electric Vehicles Considering Grid Dynamical Constraints
On Equivalence of Optimal Control for Nonlinear Input-Affine Systems and for General Nonlinear Systems via Koopman-Linearization
Architecture for Hierarchical Network Systems Equipped with Distributed Learning Mechanism
Model Validation Error Analysis From a Reachability and Observability Point of View
Tomonori Sadamoto
Global Linear Convergence of Online Reinforcement Learning for Partially Observable Systems
Takumi Hirai, Tomonori Sadamoto
On a Convergence Analysis of Policy Gradient Methods for Partially Observable Systems
Fast Online Reinforcement Learning of Distributed Optimal Controller for Large-Scale Network Systems
A Reinforcement-Learning Approach to Distributed Optimal Control of Unknown Network Systems
A New Data-Driven Approach of Reference Shaping
Reinforcement Learning Control using Data-based Dimensionality Reduction
H2 Optimal Power Flow Design to Enhance Damping Performance
A Design Method for Plug-and-Play Modules of Photovoltaic Generators
Simultaneous Design of Power Flow and Controller to Enhance Damping Performance of Power Systems
Study on the Relationship between Power Flow and Characteristic of Power Systems
Distributed Design of Power System Stabilizers for PV-Integrated Grids via Retrofit Control
Retrofitting Based Power System Stabilizer Design of PV-Integrated Power Systems
Design of a Wide-Area Damping Controller Considering Communication Time Delays
A Characterization of All Retrofit Controllers
Glocal Control for Network Systems via Hierarchical State-Space Expansion
Distributed Design of Local Controllers for Transient Stabilization in Power Grids
A Retrofitting-based Supplementary Controller Design for Enhancing Damping Performance of Wind Power Systems
Retrofitting State Feedback Control of Networked Nonlinear Systems Based on Hierarchical Expansion
Weak Resilience of Networked Control Systems
Hierarchical Distributed Design of Stabilizing Controllers for an Evolving Network System
Glocal (Global/Local) Control Synthesis for Hierarchical Networked Systems
Distributed Design of Locally Stabilizing Controllers for Large-Scale Networked Linear Systems
Time-Shifted Request Scheduling for Supply-Demand-Storage Balancing Under Prediction Uncertainty of Photovoltaics
Day-Ahead Scheduling for Model Predictive Power Generation Based on Interval Prediction of Photovoltaics -Generalization to Multiple Generators-
Study on Fair Battery Control in Residential Sector Considering with Grid Operator's Request
Average State Kalman Filters for Large-Scale Stochastic Networked Linear Systems, in Proc. of European Control Conference
Hierarchical Distributed Control for Networked Linear Systems
Projective State Observers for Large-Scale Linear Systems
Planning of Optimal Daily Power Generation Tolerating Prediction Uncertainty of Demand and Photovoltaics
Power Supply Scheduling Optimization from a Viewpoint of Spatio-Temporal Aggregation
Hierarchical Decentralized Observers for Networked Linear Systems
Nonlinear Reduced Order Modeling of Plasticization Cylinders
Low-Dimensional Functional Observer Design for Linear Systems via Observer Reduction Approach
Robust Adaptive Optimal Control for Unknown Dynamical Systems with Discontinuous Cost Function
Robust Adaptive Optimal Control for Unknown Dynamical Systems without Re-Learning
Robust Adaptive Optimal Control for Unknown Dynamical Systems
2023 The Institute of Systems, Control and Information Engineers: Best Paper Award
2022 The Society of Instrument and Control Engineers: Best Paper Award
2022 The Institute of Systems, Control and Information Engineers: Best Paper Award
2020 IEEE Control Systems Magazine Outstanding Paper Award !!
2019 Funai Foundation: Research Encouragement Award
2015 The Institute of Systems, Control and Information Engineers: Best Paper Award
2014 Finalist of European Control Conference Best Student Paper Award !
2014 The Institute of Systems, Control and Information Engineers: Best Paper Award
2012 The Society of Instrument and Control Engineers: Research Encouragement Award
Feedback Controller Design Devises, Feedback Controllers, and Feedback Controller Design Methods
Feedback Controller Design Devises, Feedback Controllers, and Feedback Controller Design Methods
Injection Molding Machines
Injection Molding Machines
Injection Molding Machines