TOMONORI SADAMOTO
| Department of Mechanical and Intelligent Systems Engineering | Associate Professor |
| Cluster II (Emerging Multi-interdisciplinary Engineering) | Associate Professor |
Researcher Information
Field Of Study
Career
- Nov. 2023 - Present
The University of Electro-Communications, 准教授 - Nov. 2018 - Nov. 2023
The University of Electro-Communications, 助教 - 01 Aug. 2016 - 14 Nov. 2018
東京工業大学大学院, 特任助教 - 01 Apr. 2016 - 31 Jul. 2016
東京工業大学大学院, 研究員 - 01 Jun. 2015 - 15 Mar. 2016
スウェーデン王立工科大学, 客員研究員 - 01 Apr. 2013 - 31 Mar. 2015
東京工業大学大学院 情報環境学専攻 博士課程 - 01 Apr. 2011 - 31 Mar. 2013
住友重機械工業株式会社 - 01 Apr. 2009 - 31 Mar. 2011
東京工業大学大学院 機械制御システム専攻 修士課程 - Apr. 2005 - Mar. 2009
東京工業大学 第4類 制御システム工学科 - Apr. 2002 - Mar. 2005
徳島市立高等学校
Research Activity Information
Award
- 2023
システム制御情報学会
システム制御情報学会学会賞論文賞 - May 2022
システム制御情報学会
システム制御情報学会学会賞論文賞 - 2022
計測自動制御学会
計測自動制御学会学会賞論文賞 - 2020
Control Systems Society
Control Systems Magazine Outstanding Paper Award
International academic award - 2019
船井情報科学振興財団
船井情報科学振興財団 研究奨励賞
Publisher - 2015
システム制御情報学会
システム制御情報学会学会賞論文賞
Official journal - 2014
システム制御情報学会
システム制御情報学会産業技術賞
Official journal - 2014
European Union Control Association
Finalist of European Control Conference Best Student Paper Award
International society - 2012
計測自動制御学会
計測自動制御学会技術奨励賞
Japan society
Paper
- Reinforcement Learning Based Controller Design for a Class of Partially Observable Nonlinear Systems
Keisuke Baba; Tomonori Sadamoto
SICE Festival 2024 with Annual conference, Sep. 2024, Peer-reviwed
International conference proceedings - Optimal Charging Control and Incentivization Strategies for Electric Vehicles Considering Grid Dynamical Constraints
Amit Kumer Podder; Tomonori Sadamoto; Aranya Chakrabortty
American Control Conference, Jul. 2024, Peer-reviwed
International conference proceedings - 最大電力点周りでシリコン太陽電池と近い過渡特性をもつペロブスカイト太陽電池モジュールの提案
定本知徳; 下島大和
Lead, 計測自動制御学会論文集, 60, 7, 419-428, Jul. 2024, Peer-reviwed
Scientific journal - Policy Gradient Methods for Designing Dynamic Output Feedback Controllers
Tomonori Sadamoto; Takumi Hirai
Lead, European Journal of Control, 79, 101081, 2024, Peer-reviwed
Scientific journal - Distributed Reinforcement Learning for Networked Dynamical Systems
Tomonori Sadamoto; Ayafumi Kikuya; Aranya Chakrabortty
Lead, IEEE Transactions on Control of Network Systems, 11, 2, 1103-1115, 2024, Peer-reviwed
Scientific journal - On Equivalence of Optimal Control for Nonlinear Input-Affine Systems and for General Nonlinear Systems via Koopman-Linearization
IFAC World Congress, Jul. 2023, Peer-reviwed
International conference proceedings - 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; Kiminao Kogiso
IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers (IEEE), 68, 4, 2183-2198, Apr. 2023, Peer-reviwed
Scientific journal, English - Input-Output History Feedback Controller for Encrypted Control with Leveled Fully Homomorphic Encryption
Kaoru Teranishi; Tomonori Sadamoto; Kiminao Kogiso
IEEE Transactions on Control of Network Systems, Institute of Electrical and Electronics Engineers (IEEE), 11, 1, 271-283, 2023, Peer-reviwed
Scientific journal - On Equivalence of Data Informativity for Identification and Data-Driven Control of Partially Observable Systems
Tomonori Sadamoto
Lead, IEEE Transactions on Automatic Control, 68, 7, 4289-4296, 2023, Peer-reviwed
Scientific journal, English - Architecture for Hierarchical Network Systems Equipped with Distributed Learning Mechanism
Ayafuki Kikuya; Tomonori Sadamoto
SICE Annual Conference, 2022, Peer-reviwed
International conference proceedings, English - Architecture for Hierarchical System with Each Learning Structure
菊谷彪文; 定本知徳
システム制御情報学会論文誌, システム制御情報学会論文誌, 66, 12, 289-299, 2022, Peer-reviwed
Scientific journal, Japanese - Global Linear Convergence of Online Reinforcement Learning for Partially Observable Systems
Takumi Hirai; Tomonori Sadamoto
European Control Conference, 1566-1571, 2022, Peer-reviwed
International conference proceedings, English - Model Validation Error Analysis From a Reachability and Observability Point of View
Tomonori Sadamoto
Asian Control Conference, 2022, Peer-reviwed
International conference proceedings, English - Data-Dependent Analysis of Model Validation Errors in Linear System Identification
European Journal of Control, 62, 1-10, 2022, Peer-reviwed
Scientific journal, English - Fast Online Reinforcement Learning of Distributed Optimal Controller for Large-Scale Network Systems
Tomoki Hoshiya; Tomonori Sadamoto
IEEE Conference on Control Technology and Applications, 1135-1141, 11 Aug. 2021, Peer-reviwed
International conference proceedings, English - On a Convergence Analysis of Policy Gradient Methods for Partially Observable Systems
Takumi Hirai; Tomonori Sadamoto
SICE Annual Conference, 01 Jan. 2021, Peer-reviwed
International conference proceedings, Japanese - Optimal Power Flow Design for Enhancing Dynamic Performance: Potentials of Reactive Power
Masaki Inoue; Tomonori Sadamoto; Mitsuru Arahata; Aranya Chakrabortty
IEEE Transactions on Smart Grid, 12, 1, 599-611, 2021, Peer-reviwed
Scientific journal, English - Fast Online Reinforcement Learning Control using State-Space Dimensionality Reduction
Tomonori Sadamoto; Aranya Chakrabortty; Jun-ichi Imura
IEEE Transactions on Control of Network Systems, 8, 1, 342-353, 2021, Peer-reviwed
Scientific journal, English - Enhancing Controllability of Wind Farms Against Parametric Resonance: A Series Compensation Approach
Tomonori Sadamoto; Aranya Chakrabortty
IEEE Control Systems Letters, IEEE, 5, 4, 1447-1452, 2021, Peer-reviwed
Scientific journal, English - Grid Resilience Enhancement by Reference Shaping based on Gray-Box Model
定本知徳; 井上正樹; 金子修
電気学会論文誌C, 141, 5, 694-703, 2021, Peer-reviwed
Scientific journal, Japanese - One-Shot Reinforcement-Learning Control of UnknownPartially-Observable Linear Systems
平井卓実; 定本知徳
システム制御情報学会論文誌, 65, 9, 235-242, 2021, Peer-reviwed
Scientific journal, Japanese - Fast Real-Time Reinforcement Learning for Partially-Observable Large-Scale Systems
Tomonori Sadamoto; Aranya Chakrabortty
IEEE Transactions on Artificial Intelligence, 1, 3, 206-218, 2021, Peer-reviwed
Scientific journal, English - Data-Driven Control of Constrained Systems
Tomonori Sadamoto; Osamu Kaneko
計測自動制御学会論文集, 57, 4, 219-226, 01 Jan. 2020, Peer-reviwed
Scientific journal, Japanese - 目標応答追従のためのデータ駆動制御型参照値整形
桑原圭佑; 池崎太一; 定本知徳; 金子修
計測自動制御学会論文集, The Society of Instrument and Control Engineers, 56, 5, 269-274, 2020, Peer-reviwed, In this paper, we propose a method of shaping a reference signal so that a desired response of an uncertain linear system can be achieved. The signal shaping can be done by using the data-driven control schemes, thereby improving the closed-loop performance without knowing the model. Since the proposed method do not change any closed-loop controllers equipped with the target system, the method is useful for working plants. The effectiveness of the proposed method is shown through an experiment of using a Lego Mindstorm EV3.
Scientific journal, Japanese - フィードフォワード制御器の性能保証付きデータ駆動設計法の提案
定本知徳; 小林史弥; 金子修
システム制御情報学会論文誌, 33, 6, 201-206, 2020, Peer-reviwed
Scientific journal, Japanese - A New Data-Driven Approach of Reference Shaping
Keisuke Kuwabara; Tomonori Sadamoto; Osamu Kaneko
IFAC World Congress, 53, 2, 3971-3976, 2020, Peer-reviwed
International conference proceedings, English - A Reinforcement-Learning Approach to Distributed Optimal Control of Unknown Network Systems
Tomoki Hoshiya; Tomonori Sadamoto
SICE Annual Conference, 2020, Peer-reviwed
International conference proceedings, English - Improving Controllability and Plug-and-Play Operation of Wind Farms Using B2B Converters
Tomonori Sadamoto; Aranya Chakrabortty
IEEE Control Systems Letters, IEEE, 4, 2, 379-384, 2020, Peer-reviwed
Scientific journal, English - Damping Performance Improvement for PV-Integrated Power Grids via Retrofit Control
Hampei Sasahara; Takayuki Ishizaki; Tomonori Sadamoto; Taisuke Masuta; Yuzuru Ueda; Hideharu Sugihara; Jun-ichi Imura
Control Engineering Practice, PERGAMON-ELSEVIER SCIENCE LTD, 84, 92-101, 2019, Peer-reviwed, In this paper, we develop a distributed design method for power system stabilizers (PSSs) that improve damping performance for deflections caused by contingencies in a power grid in which large-scale PV penetration is introduced. We suppose that there are multiple independent system operators in a grid and each system operator designs a PSS based on the corresponding subsystem model information alone. The controller design method for PSSs under the restriction on available model information is called distributed design. Although practical distributed design methods are typically based on single-machine infinite-bus system, the problem here is that the designed controller possibly destabilizes the grid. In this paper, we propose a novel distributed design method for power grids based on retrofit control theory. The designed PSS can theoretically guarantee the stability of power grids and also improves damping performance. Through a numerical example for the IEEJ EAST 30-machine power system, the effectiveness of our proposed method is verified compared with the conventional method.
Scientific journal, English - Dynamic Modeling, Stability, and Control of Power Systems with Distributed Energy Resources
Tomonori Sadamoto; Aranya Chakrabortty; Takayuki Ishizaki; Jun-ichi Imura
Control Systems Magazine, CSS, 39, 2, 34-65, 2019, Peer-reviwed, This article presents an end-to-end differential algebraic model of a power system in its entirety, including synchronous generators, wind farms, solar farms, energy storage, power electronics converters, and controllers for each device. Distributed energy resources (DERs) and power electronics devices are shown to affect small-signal stability and the dynamic performance of the grid. The article then presents a two-layer control architecture for future grids, where one layer consists of decentralized plug-and-play controllers for power electronics converter control of DERs, and another layer is composed of system-wide distributed controllers actuated through the generators.
Scientific journal, English - 電力系統の減衰性能を強化する潮流状態の探索
荒幡充; 井上正樹; 定本知徳; 鈴村美月
計測自動制御学会論文集, 55, 2, 127-134, 2019, Peer-reviwed
Scientific journal, Japanese - Reinforcement Learning Control using Data-based Dimensionality Reduction
Tomonori Sadamoto; Aranya Chakrabortty
SICE Annual Conference, none-none, 2019, Peer-reviwed
International conference proceedings, English - A Design Method for Plug-and-Play Modules of Photovoltaic Generators
Anqi Qu; Tomonori Sadamoto; Jun-ichi Imura
Asian Control Conference, none-none, 2019, Peer-reviwed
International conference proceedings, English - Simultaneous Design of Power Flow and Controller to Enhance Damping Performance of Power Systems
Mitsuru Arahata; Masaki Inoue; Tomonori Sadamoto; Mitsuki Suzumura
European Control Conference, 1884-1889, 2019, Peer-reviwed
International conference proceedings, English - Retrofit Control of Wind-Integrated Power Systems
Tomonori Sadamoto; Aranya Chakrabortty; Takayuki Ishizaki; Jun-ichi Imura
IEEE Transactions on Power Systems, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 33, 3, 2804-2815, 03 May 2018, Peer-reviwed, In this paper, we address several growing concerns of wind power integration from the perspective of power system dynamics and stability. We propose a new control design technique called retrofit control, by which one can control the rotor voltages of doubly fed induction generators to suppress the oscillations in the tie-line power flows caused by a disturbance inside the wind farm. The controller can be designed in a modular way, and also implemented in a completely decentralized fashion using only local feedback from the wind generator states and the voltage at the point of common coupling without depending on the states of any of the synchronous machines in the rest of the system. We show the effectiveness of the design using simulations of the IEEE 68-bus, 16-machine power system model with two wind farms.
Scientific journal, English - Retrofit Control: Localization of Controller Design and Implementation
Takayuki Ishizaki; Tomonori Sadamoto; Jun-ichi Imura; Henrik Sandberg; Karl Henrik Johansson
Automatica, PERGAMON-ELSEVIER SCIENCE LTD, 95, 336-346, 2018, Peer-reviwed, 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 of the subsystem of interest for controller design. To design the retrofit controller, we use a novel approach based on hierarchical state-space expansion that generates a higher-dimensional cascade realization of a given network system. The upstream dynamics of the cascade realization corresponds to an isolated model of the subsystem of interest, which is stabilized by a local controller. The downstream dynamics can be seen as a dynamical model representing the propagation of interference signals among subsystems, the stability of which is equivalent to that of the original system. This cascade structure enables a systematic analysis of both the stability and control performance of the resultant closed-loop system. The resultant retrofit controller is formed as a cascade interconnection of the local controller and an output rectifier that rectifies an output signal of the subsystem of interest so as to conform to an output signal of the isolated subsystem model while acquiring complementary signals neglected in the local controller design, such as interconnection signals from neighboring subsystems. Finally, the efficiency of the retrofit control method is demonstrated through numerical examples of power systems control and vehicle platoon control. (C) 2018 Elsevier Ltd. All rights reserved.
Scientific journal, English - Retrofitting Based Power System Stabilizer Design of PV-Integrated Power Systems
Tomonori Sadamoto; Takayuki Ishizaki; Jun-ichi Imura
Conference on Control Technology and Applications, IEEE, 40-45, 2018, Peer-reviwed, In this paper, we propose a novel type of Power System Stabilizer (PSS) for power systems with large-scale photovoltaic (PV) integration. The proposed PSS can mitigate adverse impacts of short-term operation stoppage of PV generators on the overall power system dynamics. The advantage of the proposed PSS over conventional PSSs is that the damping performance of the overall power system is shown to be improved theoretically while the proposed PSS can be considerably lower-dimensional than the entire power system. The efficiency of the proposed PSS is shown through a numerical example of a PV-integrated benchmark model representing the hulk power system in the eastern half of Japan.
International conference proceedings, English - Design of a Wide-Area Damping Controller Considering Communication Time Delays
Yosuke, Shiozaki; Nobuyuki Yamaguchi; Tomonori Sadamoto
Power Systems Computation Conference, 2018, Peer-reviwed
International conference proceedings, English - A Characterization of All Retrofit Controllers
Hampei Sasahara; Takayuki Ishizaki; Masaki Inoue; Tomonori Sadamoto; Jun-ichi Imura
American Control Conference, IEEE, 6194-6199, 2018, Peer-reviwed, In this paper, we give a characterization of all retrofit controllers for control of large-scale network systems. A retrofit controller is a local plug-in controller such that, rather than an entire network system model, only a model of the subsystem of interest is required for controller design. The retrofit controller guarantees the entire system stability for any (norm-unbounded) variations of neighboring subsystems, other than the subsystem of interest, as long as the network of the subsystem and neighboring subsystems is stable. Although a design procedure of a retrofit controller has been already proposed, how to characterize all retrofit controllers still remains an open question. We consider two cases where the interconnection signal is available and unavailable as a feedback signal. It is revealed that, in the case where the interconnection signal is available, all retrofit controllers are composed of a localizing compensator that cancels out the input-to-output map from the interconnection signal to the measurement signal, and a local controller that locally stabilizes the subsystem. It is also found that, in the case where the interconnection signal is unavailable, the effect from the measurement signal to the control input must be cancelled out in the controller. Finally, the effectiveness of retrofit control is verified through a numerical example of a benchmark model representing the bulk power system in the eastern half of Japan.
International conference proceedings, English - Study on the Relationship between Power Flow and Characteristic of Power Systems
Shin-ichiro Terao; Tomonori Sadamoto; Jun-ichi Imura
Grand Renewable Energy, 2018, Peer-reviwed
International conference proceedings, English - Distributed Design of Power System Stabilizers for PV-Integrated Grids via Retrofit Control
Hampei Sasahara; Takayuki Ishizaki; Tomonori Sadamoto; Jun-ichi Imura
Grand Renewable Energy, 2018, Peer-reviwed
International conference proceedings, English - A retrofitting-based supplementary controller design for enhancing damping performance of wind power systems
Tomonori Sadamoto; Aranya Chakrabortty; Takayuki Ishizaki; Jun-Ichi Imura
Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., 2755-2760, 29 Jun. 2017, Peer-reviwed, 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 where an additional controller is designed at the doubly-fed induction generator site inside the wind power plant. This controller cancels the adverse impacts of the power flow from the wind side to the grid side on the dynamics of the overall power system. The main advantage of this controller is that it can be implemented by feeding back only the wind states and wind bus voltage without depending on any of the other synchronous machines in the rest of the system. Through simulations of a 4-machine Kundur power system model we show that the retrofit can efficiently enhance the damping performance of the system variable despite very high values of wind penetration.
International conference proceedings, English - Average State Observers for Large-Scale Network Systems
Tomonori Sadamoto; Takayuki Ishizaki; Jun-ichi Imura
Transactions on Control of Network Systems, IEEE, 4, 4, 761-769, 2017, Peer-reviwed, In this paper, we propose a novel observer, called the average state observer, for large-scale network systems. This observer estimates the average behavior of the system with an estimation error assurance. To design an average state observer with explicit consideration of the estimation error, we first derive a tractable representation of the estimation error system. On the basis of this representation, we provide a theoretical upper bound of the estimation error for the average state observer. As a result, a systematic procedure to design the average state observers with an estimation error assurance is presented. Finally, we show the efficiency of the average state observer through an example of spatially discretized thermal diffusion networks.
Scientific journal, English - 電力系統における過渡応答安定化のための局所制御器の分散設計
笹原帆平; 石崎孝幸; 定本知徳; 井村順一
計測自動制御学会論文集, 計測自動制御学会 ; [1965]-, 53, 11, 608-617, 2017, Peer-reviwed
Scientific journal, Japanese - Glocal Control for Network Systems via Hierarchical State-Space Expansion
Hampei Sasahara; Takayuki Ishizaki; Tomonori Sadamoto; Jun-ichi Imura; Henrik Sandberg; Karl Henrik Johansson
Conference on Decision and Control, IEEE, 6346-6351, 2017, Peer-reviwed, In this paper, we propose a glocal (global/local) control method for large-scale network systems. The objective of the glocal control here is to suppress global propagation of a disturbance injected at a local subsystem based on the integration of different types of controllers, called global and local controllers. For the design of global and local controllers, we construct an aggregated model and a truncated model that can, respectively, capture global average behavior and local subsystem behavior of the network system of interest. Based on state-space expansion, called hierarchical state-space expansion, we show that a cascade interconnection of the aggregated model and the truncated model can be seen as a low-dimensional approximate model of the original network system, which has good compatibility with independent design of the global and local controllers. Furthermore, we show that appropriate integration of the global and local controllers can improve control performance with respect to global propagation of local disturbance. Finally, the effectiveness of the proposed method is shown through a numerical example of a benchmark model representing the bulk power system in the eastern half of Japan.
International conference proceedings, English - Distributed Design of Local Controllers for Transient Stabilization in Power Grids
Hampei Sasahara; Takayuki Ishizaki; Tomonori Sadamoto; Jun-ichi Imura
IFAC World Congress, ELSEVIER, 50, 1, 5430-5435, 2017, Peer-reviwed, In this paper, we develop a distributed method for designing local controllers that perform transient stabilization of dynamic response for deflections caused by contingencies in a large power system where multiple independent system operators exist and manage their corresponding generators. The system models associated with individual system operators should be private and be unavailable for deciding control policies of other system operators. We formulate the controller design problem where each controller is designed using its corresponding local system model and they achieve a desired local transient response performance. Our proposed method based on hierarchical state-space expansion enables us to solve the controller design problem and the resulting system satisfies the requirements. Through numerical simulations for the IEEJ EAST 10-machine power system, the effectiveness of our proposed method is verified. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
International conference proceedings, English - Interval quadratic programming for day-ahead dispatch of uncertain predicted demand
Takayuki Ishizaki; Masakazu Koike; Nacim Ramdani; Yuzuru Ueda; Taisuke Masuta; Takashi Oozeki; Tomonori Sadamoto; Jun-ichi Imura
Automatica, PERGAMON-ELSEVIER SCIENCE LTD, 64, 163-173, Feb. 2016, Peer-reviwed, In this paper, we propose an interval quadratic programming method for the day-ahead scheduling of power generation and battery charge cycles, where the prediction uncertainty of power consumption and photovoltaic power generation is described as a parameter vector lying in an interval box. The interval quadratic programming is formulated as the problem of finding the tightest box, i.e., interval hull, that encloses the image of a function of the minimizer in parametric quadratic programming. To solve this problem in a computationally efficient manner, we take a novel approach based on a monotonicity analysis of the minimizer in the parametric quadratic programming. In particular, giving a tractable parameterization of the minimizer on the basis of the Karush-Kuhn-Tucker condition, we show that the monotonicity analysis with respect to the parameter vector can be relaxed to the sign pattern analysis of an oblique projection matrix. The monotonicity of the minimizer is found to be essential in the day-ahead dispatch problem, where uncertain predicted demand, described by a parameter vector, is dispatched to power generation and battery charge cycles while the economic cost is minimized. Finally, we verify the efficiency of the proposed method numerically, using experimental and predicted data for power consumption and photovoltaic power generation. (C) 2015 Elsevier Ltd. All rights reserved.
Scientific journal, English - 大規模線形確率ネットワークシステムに対する平均値カルマンフィルタ
渡邉郁弥; 定本知徳; 石崎孝幸; 井村順一
計測自動制御学会論文集, 52, 8, 419-427, 2016, Peer-reviwed
Scientific journal, Japanese - Retrofitting State Feedback Control of Networked Nonlinear Systems Based on Hierarchical Expansion
Tomonori Sadamoto; Takayuki Ishizaki; Jun-ichi Imura; Henrik Sandberg; Karl Henrik Johansson
Conference On Decision and Control, IEEE, 3432-3437, 2016, Peer-reviwed, In this paper, we propose a systematic method to design retrofit controllers for networked nonlinear systems. The retrofit controller, which consists of a linear state feedback controller and a dynamical compensator, can improve the control performance for a subsystem of interest, while guaranteeing the stability of the whole closed-loop system. Towards the retrofit controller design, we introduce a type of state-space expansion, called hierarchical expansion. The cascade structure of the hierarchical expansion realization enables the systematic design of a stabilizing controller for a low-dimensional linear model extracted from the subsystem of interest. As a result, we can design a retrofit controller without explicit consideration of the dynamics of subsystems other than the subsystem of interest. The effectiveness of the proposed method is demonstrated through a power network example.
International conference proceedings, English - Weak Resilience of Networked Control Systems
Tomonori Sadamoto; Henrik Sandberg; Bart Besselink; Takayuki Ishizaki; Jun-ichi Imura; Karl Henrik Johansson
European Control Conference, IEEE, 977-982, 2016, Peer-reviwed, 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 call such networked control systems weakly resilient. We first derive a necessary and sufficient condition for the weak resilience of networked systems. Networked systems do not generally satisfy this condition. Therefore, we provide a method for designing a compensator which ensures the weak resilience of the compensated system. Finally, we illustrate the efficiency of the proposed method by a power system example based on the IEEE 14-bus test system.
International conference proceedings, English - Spatiotemporally Multiresolutional Optimization Toward Supply-Demand-Storage Balancing Under PV Prediction Uncertainty
Tomonori Sadamoto; Takayuki Ishizaki; Masakazu Koike; Yuzuru Ueda; Jun-ichi Imura
IEEE Transactions On Smart Grid, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 6, 2, 853-865, Mar. 2015, Peer-reviwed, Large-scale penetration of photovoltaic (PV) power generators and storage batteries is expected in recently constructed power systems. For the realization of smart energy management, we need to make an appropriate day-ahead schedule of power generation and battery charge cycles based on the prediction of demand and PV power generation, which inevitably involves nontrivial prediction errors. With this background, a novel framework is proposed to maintain the balance among the total amounts of power generation, demand, and battery charging power with explicit consideration of the prediction uncertainty, assuming that consumer storage batteries are not directly controllable by a supplier. The proposed framework consists of the following three steps: 1) the day-ahead scheduling of the total amount of generation power and battery charging power; 2) the day-ahead scheduling of utility energy consumption requests to individual consumers, which aim to regulate battery charging cycles on the consumer side; and 3) the incentive-based management of the entire power system on the day of interest. In this paper, we especially focus on the day-ahead scheduling problems in steps 1) and 2), and show that they can be analyzed in a manner originating from spatiotemporal aggregation. Finally, we demonstrate the validity of the proposed framework through numerical verification of the power system management.
Scientific journal, English - Average State Kalman Filters for Large-Scale Stochastic Networked Linear Systems
Fumiya Watanabe; Tomonori Sadamoto; Takayuki Ishizaki; Jun-ichi Imura
European Control Conference, IEEE, 2818-2823, 2015, Peer-reviwed, In this paper, we propose a design method of average state Kalman filters for networked linear systems with stochastic noises. The average state Kalman filter is a low-dimensional estimator capturing the average behavior of systems from a macroscopic point of view. In general, it is nontrivial to find a set of states that captures the average behavior of systems. To overcome this difficulty, using the notion of clustering, we devise a systematic design procedure of average state Kalman filters while determining states that capture the average behavior of systems. Furthermore, deriving a tractable representation of the estimation error system, we derive an estimation error bound for the proposed method in a theoretical way. The efficiency of the proposed method is shown by a power system example in smart grid applications.
International conference proceedings, English - 大規模線形ネットワークに対する平均値オブザーバ
定本知徳; 石崎孝幸; 井村順一
システム制御情報学会論文誌, 28, 2, 73-83, 2015, Peer-reviwed
Scientific journal, Japanese - Hierarchical Distributed Design of Stabilizing Controllers for an Evolving Network System
Tomonori Sadamoto; Takayuki Ishizaki; Jun-ichi Imura
Conference on Decision and Control, IEEE, 3337-3342, 2015, Peer-reviwed, In this paper, we propose a hierarchical distributed design method of stabilizing controllers for an evolving network system where a part of the network system changes as installing a new dynamical system, which is called an evolving component. First, supposing that the dimension of the evolving network system is low enough to make the existing controller design methods applicable, we propose a design method of a stabilizing controller such that the whole evolving network system is kept to be stable as long as the evolving component does not spoil the local stability of the part of the evolving network system. Next, on the basis of this controller design, we propose a hierarchical distributed design method of stabilizing controllers for a large-scale evolving network system. The main idea of the hierarchical distributed design is to apply the proposed distributed design to evolving components that are hierarchically decomposed, thereby realizing a scalable handling of large-scale evolving network systems. Finally, we demonstrate the proposed method through an example of evolving power systems.
International conference proceedings, English - Glocal (Global/Local) Control Synthesis for Hierarchical Networked Systems
Shinji Hara; Jun-ichi Imura; Koji Tsumura; Takayuki Ishizaki; Tomonori Sadamoto
Conference On Control Applications, IEEE, 107-112, 2015, Peer-reviwed, This paper is concerned with how to develop a new system control theory for providing systematic design methods of hierarchical networked systems composed of various kinds of subsystems from the glocal (global/local) control view point. Through examinations of energy network control we first explain the idea and concept of glocal control and propose a structure of glocal control system consisting multi-resolved sensor, glocal predictor, and glocal controller. We then provide methods of designing glocal predictor and glocal controller which fit the proposed structure with numerical examples.
International conference proceedings, English - Distributed Design of Locally Stabilizing Controllers for Large-Scale Networked Linear Systems
Tomonori Sadamoto; Takayuki Ishizaki; Jun-ichi Imura; Bart Besselink; Henrik Sandberg; Karl Henrik Johansson
2015 IEEE CONFERENCE ON CONTROL AND APPLICATIONS (CCA 2015), IEEE, 1835-1840, 2015, Peer-reviwed, In this paper, we consider designing locally stabilizing controllers, each of which stabilizes each disconnected subsystem, in a distributed manner for large-scale networked linear systems. To this end, we design a low-dimensional hierarchical distributed compensator such that the L-2-performance of the closed-loop system improves as long as that of the locally stabilizing controllers improves. We solve a controller reduction problem where the approximation error of the low-dimensional compensator gets better as long as the performance of the locally stabilizing controllers improves, while preserving the hierarchical distributed structure of the original compensator. Finally, we demonstrate the efficiency of the proposed method through a numerical example of a power network.
International conference proceedings, English - Time-Shifted Request Scheduling for Supply-Demand-Storage Balancing Under Prediction Uncertainty of Photovoltaics
Masakazu Koike; Takayuki Ishizaki; Tomonori Sadamoto; Jun-ichi Imura
Conference on Control Applications, IEEE, 1534-1539, 2015, Peer-reviwed, Towards smart energy management, large-scale penetration of storage batteries is expected in recent power systems. To prevent reverse power flow from photovoltaic (PV) power generators to the power grid, it is desirable to introduce the storage batteries into the houses of consumers having the PV power generators. However, the battery charging power on the consumer side cannot be controlled directly from suppliers. Thus, to maintain balancing among demand, supply power, and battery charging power, a load dispatching center needs to provide a kind of power consumption requests to individual consumers. Against this background, in this paper, we propose a method to determine an optimal sets of requests that minimizes the degradation of economic efficiency with respect to power generation, which is defined as discrepancy between the schedule of power generation and the total amount of utility power consumption requested to consumers. In this method, separating the consumers into several groups, we consider providing a set of time-shifted utility energy consumption requests, whose temporal resolution is coarsened to ensure flexibility for consumers. A discrete Fourier analysis shows a trade-off relation between the economical efficiency of power generation and the provision of flexibility to consumers.
International conference proceedings, English - Day-Ahead Scheduling for Model Predictive Power Generation Based on Interval Prediction of Photovoltaics - Generalization to Multiple Generators
Masakazu Koike; Yoshihiro Tagawa; Takayuki Ishizaki; Tomonori Sadamoto; Jun-ichi Imura
2015 54TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), IEEE, 870-873, 2015, Peer-reviwed, The purpose of this study is to obtain a day-ahead schedule of model predictive power generation for multiple generators considering the uncertainty of PV power and demand prediction. Expressing the prediction uncertainty as interval prediction, we calculate the regulating capacity of multiple generators that is sufficient to tolerate a given amount of prediction uncertainty. The regulating capacity is decided by solving an interval valued allocation problem. We give a solution by taking an approach based on the monotonicity analysis.
International conference proceedings, English - Study on Fair Battery Control in Residential Sector Considering with Grid Operator's Request
Kosuke Uchida; Eiki Arai; Masakazu Koike; Ikuma Muto; Tomonori Sadamoto; Takayuki Ishizaki; Yuzuru Ueda; Jun-ichi Imura
2015 54TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), IEEE, 343-346, 2015, Peer-reviwed, Massively penetrated photovoltaic power generation system (PV) causes difficulty in controlling the balance between supply and demand in power grid. Therefore, demand response (DR) from end users will be required from the independent system operator (ISO) as load adjustment. This paper studied about fair charge-and-discharge allocation in individual houses considering ISO's request.
International conference proceedings, English - Average State Kalman Filters for Large-Scale Stochastic Networked Linear Systems, in Proc. of European Control Conference
Fumiya Watanabe; Tomonori Sadamoto; Takayuki Ishizaki; Jun-ichi Imura
European Control Conference, 2823-2828, 2015, Peer-reviwed
International conference proceedings, English - Hierarchical distributed stabilization of power networks
Takayuki Ishizaki; Tomonori Sadamoto; Jun-ichi Imura
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, SPRINGER HEIDELBERG, 223, 12, 2461-2473, Oct. 2014, Peer-reviwed, Large fluctuation of electric power due to high penetration of renewable energy sources such as photovoltaic and wind power generation increases the risk to make the whole power network system unstable. The conventional frequency control called load frequency control is based on PID (proportional-integral-derivative) control or more advanced centralized and decentralized/distributed control. If we could more effectively use information on the state of the other neighbor generators, we can expect to make the whole system more robust against the large frequency fluctuation. This paper proposes a fundamental framework towards the design of hierarchical distributed stabilizing controllers for a network of power generators and loads. This novel type of distributed controller, composed of a global controller and a set of local controllers, takes into account the effect of the interaction among the generators and loads to improve robustness for the variation of locally stabilizing controllers.
Scientific journal, English - Planning of optimal daily power generation tolerating prediction uncertainty of demand and photovoltaics
Masakazu Koike; Takayuki Ishizaki; Yuzuru Ueda; Taisuke Masuta; Takashi Ozeki; Nacim Ramdani; Tomonori Sadamoto; Jun-Ichi Imura
IFAC Proceedings Volumes (IFAC-PapersOnline), IFAC Secretariat, 19, 3657-3662, 2014, The concern with renewable energy has been growing. Large-scale installation of photovoltaic (PV) generation and electricity storage is expected to be installed into the power system in Japan. In this situation, we need to keep supply-demand balance by systematically using not only traditional power generation systems but also the PV generation and storage equipment. Towards this balancing, a number of prediction methods for PV generation and demand have been developed in literature. However, prediction-based balancing is not necessarily easy. This is because the prediction of PV generation and the demand forecasting inevitably includes some uncertainty. Against this background, we formulate a problem to plan battery charge pattern while minimizing the fuel cost of generators with explicit consideration of prediction uncertainty. In this problem, given as interval quadratic programming, the prediction uncertainty is described as a parameter in constraint condition. Furthermore, we propose a method to find a solution to this problem from the viewpoint of monotonicity analysis. Finally, by numerical analysis based on this problem and its solution method, we discuss the relation between the minimal regulating capacity and the required battery charge/discharge pattern to tolerate a given amount of prediction uncertainty.
International conference proceedings, English - Power supply scheduling optimization from a viewpoint of spatio-temporal aggregation
Tomonori Sadamoto; Ikuma Muto; Takayuki Ishizaki; Masakazu Koike; Jun-Ichi Imura
IFAC Proceedings Volumes (IFAC-PapersOnline), IFAC Secretariat, 19, 4571-4577, 2014, With increased attention of renewable energy, a large number of photovoltaic (PV) power generators are expected to be installed into power systems in Japan. In this situation, we consider a problem to make an appropriate schedule on the following day based on the prediction of demand and PV power generation. Since the PV/demand prediction includes non-negligible uncertainty, we need to devise a method for the power supply scheduling explicitly taking into account the prediction uncertainty. Towards a robust power supply scheduling tolerating the prediction uncertainty, first, we introduce spatio-temporal aggregation and provide a fundamental fact on it. Based on this, we show that the scheduling problem can be divided into two subproblems that involve spatially and temporally aggregated variables, respectively. Then, investigating that spatio-temporal aggregation has potential to reduce the influence of the prediction uncertainty, we show that the feasibility of the scheduling problem is improved by the spatio-temporal aggregation. Finally, we show the efficiency of the power supply scheduling based on the spatio-temporal aggregation through a numerical simulation.
International conference proceedings, English - 調整用火力コスト最小化に向けた不確かな太陽光発電予測に基づく蓄電池の充放電計画
小池雅和; 石崎孝幸; 植田譲; 益田泰輔; 大関崇; 定本知徳; 井村順一
電気学会論文誌B, 134, 6, 545-557, 2014, Peer-reviwed - 大規模線形システムに対する低次元関数オブザーバの設計法
定本知徳; 石崎孝幸; 井村順一
計測自動制御学会論文集, 50, 6, 478-486, 2014, Peer-reviwed
Scientific journal, Japanese - 階層分散オブザーバの設計と電力ネットワークへの適用
小池雅和; 石崎孝幸; 定本知徳; 井村順一
システム制御情報学会論文誌, THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE), 27, 9, 353-363, 2014, Peer-reviwed, In this paper, we propose a design method of hierarchical decentralized observers for networked linear systems. In this method, based on suitable state-space expansion of the network systems, we, first, find a high-dimensional dynamical compensator that can achieve any desirable performance for decentralized state estimation. Next, fully taking advantage of model reduction techniques, we extract a subspace that is essentially relevant to the decentralized state estimation, from the high-dimensional state-space of the dynamical compensator. This procedure successfully yields a lower-dimensional compensator that guarantees not only the stability of the estimation error but also a desirable estimation performance with respect to the system behavior for external input signals. The effectiveness of the proposed method is shown through an application to the state estimation of power networks.
Scientific journal, Japanese - Hierarchical Distributed Control for Networked Linear Systems
Tomonori Sadamoto; Takayuki Ishizaki; Jun-ichi Imura
2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), IEEE, 2447-2452, 2014, Peer-reviwed, In this paper, we propose a design method of hierarchical distributed controllers for networked linear systems. The hierarchical distributed controller has an advantage that an L-2-performance of the closed-loop system improves as improving a performance of local controllers that stabilize disjoint subsystems individually. Towards systematic design, we utilize state-space expansion that enables us to deal with the state variables associated with disjoint subsystems and those associated with interference among hierarchically clustered subsystems in a tractable manner. Moreover, by the integration of a hierarchical distributed observer having good compatibility with the structured controller, we build a framework to implement an observer-based hierarchical distributed control. The efficiency of the proposed control system is shown through an example of power networks.
International conference proceedings, English - Projective State Observers for Large-Scale Linear Systems
Tomonori Sadamoto; Takayuki Ishizaki; Jun-ichi Imura
2014 EUROPEAN CONTROL CONFERENCE (ECC), IEEE, 2969-2974, 2014, Peer-reviwed, In this paper, towards efficient state estimation for large-scale linear systems, we propose a novel framework of low-dimensional functional state observers, which we call a projective state observer, with the provision of a systematic design procedure. The projective state observer can be regarded as a generalization of functional state observers that is defined by means of the orthogonal projection taking into account the system controllability/observability in a quantitative manner. The efficiency of the proposed observer is shown through a numerical example for a reaction-diffusion system evolving over a directed complex network. Moreover, through this observer design, we discuss a trade-off relation between low-dimensionality and an observation error.
International conference proceedings, English - Planning of Optimal Daily Power Generation Tolerating Prediction Uncertainty of Demand and Photovoltaics
Masakazu Koike; Takayuki Ishizaki; Yuzuru Ueda; Taisuke Masuta; Takashi Ozeki; Nacim Ramdani; Tomonori Sadamoto; Jun-ichi Imura
IFAC PAPERSONLINE, ELSEVIER SCIENCE BV, 47, 3, 3657-3662, 2014, Peer-reviwed, The concern with renewable energy has been growing. Large-scale installation of photovoltaic (PV) generation and electricity storage is expected to be installed into the power system in Japan. In this situation, we need to keep supply-demand balance by systematically using not only traditional power generation systems but also the PV generation and storage equipment. Towards this balancing, a number of prediction methods for PV generation and demand have been developed in literature. However, prediction-based balancing is not necessarily easy. This is because the prediction of PV generation and the demand forecasting inevitably includes some uncertainty. Against this background, we formulate a problem to plan battery charge pattern while minimizing the fuel cost of generators with explicit consideration of prediction uncertainty. In this problem, given as interval quadratic programming, the prediction uncertainty is described as a parameter in constraint condition. Furthermore, we propose a method to find a solution to this problem from the viewpoint of monotonicity analysis. Finally, by numerical analysis based on this problem and its solution method, we discuss the relation between the minimal regulating capacity and the required battery charge/discharge pattern to tolerate a given amount of prediction uncertainty.
International conference proceedings, English - Power Supply Scheduling Optimization from a Viewpoint of Spatio-Temporal Aggregation
Tomonori Sadamoto; Ikuma Muto; Takayuki Ishizaki; Masakazu Koike; Jun-ichi Imura
IFAC PAPERSONLINE, ELSEVIER SCIENCE BV, 47, 3, 4571-4577, 2014, Peer-reviwed, With increased attention of renewable energy, a large number of photovoltaic (PV) power generators are expected to be installed into power systems in Japan. In this situation, we consider a problem to make an appropriate schedule on the following day based on the prediction of demand and PV power generation. Since the PV/demand prediction includes non-negligible uncertainty, we need to devise a method for the power supply scheduling explicitly taking into account the prediction uncertainty. Towards a robust power supply scheduling tolerating the prediction uncertainty, first, we introduce spatio-temporal aggregation and provide a fundamental fact on it. Based on this, we show that the scheduling problem can be divided into two subproblems that involve spatially and temporally aggregated variables, respectively. Then, investigating that spatio-temporal aggregation has potential to reduce the influence of the prediction uncertainty, we show that the feasibility of the scheduling problem is improved by the spatio-temporal aggregation. Finally, we show the efficiency of the power supply scheduling based on the spatio-temporal aggregation through a numerical simulation.
International conference proceedings, English - Hierarchical Decentralized Observers for Networked Linear Systems
Takayuki Ishizaki; Masakazu Koike; Tomonori Sadamoto; Jun-ichi Imura
2014 AMERICAN CONTROL CONFERENCE (ACC), IEEE, 5718-5723, 2014, Peer-reviwed, In this paper, we propose a design method of hierarchical decentralized observers for networked linear systems. In this method, based on suitable state-space expansion of the network systems, we, first, find a high-dimensional dynamical compensator that can achieve ideal performance for decentralized state estimation. Next, fully utilizing model reduction techniques, we extract a subspace that is essentially relevant to the decentralized state estimation, from the highdimensional state-space of the dynamical compensator. This procedure successfully produces a lower-dimensional compensator that guarantees not only the stability of the estimation error but also desirable estimation performance with respect to tracking the system behavior for external input signals. Finally, the efficiency of the proposed method is shown through an illustrative example of power networks.
International conference proceedings, English - Nonlinear reduced order modeling of plasticization cylinders
Tomonori Sadamoto; Kenji Kashima; Hiroshi Morita; Hiroyuki Mizuno
2014 AMERICAN CONTROL CONFERENCE (ACC), IEEE, 129-134, 2014, Peer-reviwed, In this paper, we construct a nonlinear reduced order model of a plasticization cylinder of injection machines, which has a spatially distributed nonlinear dynamics First, a distributed parameter model for the overall control system is derived based on the physical laws. Next, we attempt to reduce the model complexity focusing on the specific structure of the nonlinearity which arises from temperature-dependency of the rate of heat loss of heaters subjected to natural convection. This enables us to obtain a 28-dimensional model (via an 808-dimensional spatially discretized model) while theoretically guaranteeing a practically satisfactory accuracy. The obtained model is examined experimentally by using a prototype system.
International conference proceedings, English - Low-dimensional functional observer design for linear systems via observer reduction approach
Tomonori Sadamoto; Takayuki Ishizaki; Jun-Ichi Imura
Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., 776-781, 2013, Peer-reviwed, This paper proposes a design method for lowdimensional linear functional observers based on a model reduction approach. In contrast to existing methods for designing approximate observers, this method can guarantee not only stability preservation but also an a priori L2-error bound for the observer approximation. Moreover, owing to the fact that this method can be applied to any Luenberger-type functional observers, the method is compatible with the standard feedback gain determination methods, such as pole placement techniques. The efficiency of the proposed method is shown through a numerical example for electric power network systems. © 2013 IEEE.
International conference proceedings, English - 射出成形機むけ加熱シリンダの非線形モデリングと低次元化
定本知徳; 加嶋健司; 森田洋; 水野博之
システム制御情報学会論文誌, 26, 5, 174-181, 2013, Peer-reviwed
Scientific journal, Japanese - Low-Dimensional Functional Observer Design for Linear Systems via Observer Reduction Approach
Tomonori Sadamoto; Takayuki Ishizaki; Jun-ichi Imura
2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), IEEE, 776-781, 2013, Peer-reviwed, This paper proposes a design method for low-dimensional linear functional observers based on a model reduction approach. In contrast to existing methods for designing approximate observers, this method can guarantee not only stability preservation but also an a priori L 2-error bound for the observer approximation. Moreover, owing to the fact that this method can be applied to any Luenberger-type functional observers, the method is compatible with the standard feedback gain determination methods, such as pole placement techniques. The efficiency of the proposed method is shown through a numerical example for electric power network systems.
International conference proceedings, English - Robust Adaptive Optimal Control for Unknown Dynamical Systems with Discontinuous Cost Function
Tomonori Sadamoto; Masaki Yamakita
2012 AMERICAN CONTROL CONFERENCE (ACC), IEEE COMPUTER SOC, 1123-1128, 2012, Peer-reviwed, In this paper, we propose an algorithm to derive an approximated optimal 'discontinuous' cost function and a controller for partially unknown dynamical systems. The algorithm is based on REPI algorithm which we have already proposed, but th new algorithm can deal with a discontinuous cost function explicitly. In general, approximation of a discontinuous function using some smooth basis functions, e.g. RBF, is not valid because of their smoothness. In our method, an approximated function is represented as piecewise differentiable functions. The effectiveness of the proposed method is shown by a numerical simulation.
International conference proceedings, English - Robust adaptive optimal control for unknown dynamical systems without re-learning
T. Sadamoto; M. Yamakita
IFAC Proceedings Volumes (IFAC-PapersOnline), 18, 1, 2656-2661, 2011, Peer-reviwed, In this paper, we propose an algorithm which directly derive an approximate optimal control law for a new criterion function when some approximate optimal value functions are obtained. The proposed algorithm requires to solve HJB equation for a nested cost function which is defined by the optimal cost function, and a method called Robust Extended Policy Iteration can solve the problem. Furthermore, the proposed algorithm doesn't require the drift terms of the system. The proposed algorithm can be used in order to tune the response. The validity of the proposed algorithm is shown by numerical simulations. © 2011 IFAC.
International conference proceedings, English - Robust Adaptive Optimal Control for Unknown Dynamical Systems
Tomonori Sadamoto; Masaki Yamakita
2011 AMERICAN CONTROL CONFERENCE, IEEE, 4207-4212, 2011, Peer-reviwed, In this paper, we propose an algorithm of adaptive optimal control scheme for systems whose dynamics are unknown and the states are contaminated by noises. The basic control law is Policy Iteration which can solve HJB equation recursively. In the proposed method, the value function is estimated using a nonlinear filtering but the state of the system is not estimated since the system model is not available. Since the proposed method can reduce the effects of the noises without using the system model, we can apply this method to many practical systems without model and parameters.
International conference proceedings, English
Books and other publications
Lectures, oral presentations, etc.
- シリコン太陽電池を模倣するペロブスカイト太陽電池モジュールの実機実験による検証
下島大和; 定本知徳
Oral presentation, 第67回自動制御連合講演会
Nov. 2024 - ノイズを含む離散時間非線形システムに対するクープマン作用素を用いた強化学習
中原律樹; 定本知徳
Oral presentation, 第67回自動制御連合講演会
Nov. 2024 - 分散動的出力フィードバック制御器の方策勾配法に基づく分散学習
中桐幸多朗; 定本知徳
Oral presentation, 第67回自動制御連合講演会
Nov. 2024 - 最大電力点周りでシリコン太陽電池を模倣する データ駆動型 ペロブスカイト太陽電池モジュール
下島大和; 定本知徳
第11回制御部門マルチシンポジウム
Mar. 2024 - ノイズの混入する部分観測システムに対するモデルベース型方策勾配法の収束性解析
仲俣郁哉; 定本知徳
第11回制御部門マルチシンポジウム
Mar. 2024 - 離散時間非線形システムへのガウス過程を用いたクープマン型強化学習
菊谷彪文; 定本知徳
第11回制御部門マルチシンポジウム
Mar. 2024 - 未知かつ部分観測な非線形Vector Auto-Regressive with eXogenous input システムに対するワンショットな強化学習
馬場啓輔; 定本知徳
第11回制御部門マルチシンポジウム
Mar. 2024 - 離散時間入力アフィン非線形システムへのカーネルトリックを用いたクープマン型強化学習
菊谷彪文; 定本知徳
第66回自動制御連合講演会
07 Oct. 2023 - 動的出力フィードバック制御器設計のための観測ノイズ下における方策勾配法
平井卓実; 定本知徳
第10回制御部門マルチシンポジウム
Mar. 2023 - 部分観測システムに対するラインサーチを用いた方策勾配法の提案
仲俣郁哉; 平井卓実; 定本知徳
第10回制御部門マルチシンポジウム
Mar. 2023 - ペロブスカイト太陽電池の最大電力点周りでのモデルマッチング制御
下島大和; 定本知徳
第10回制御部門マルチシンポジウム
Mar. 2023 - VARモデルを用いたリスクセンシティブなポートフォリオ最適化
李榮俊; 定本知徳
第10回制御部門マルチシンポジウム
Mar. 2023 - 部分観測システムに対する方策勾配法
平井卓実; 定本知徳
第9回制御部門マルチシンポジウム
Mar. 2022 - スムーズ関数を用いた非線形制約の学習
大山博之; 定本知徳; 高野凛
第9回制御部門マルチシンポジウム
Mar. 2022 - 非線形システムに対する強化学習におけるQ関数近似とクープマン線形化の等価性
菊谷彪文; 定本知徳
第65回自動制御連合講演会
2022 - 完全グラフにより相互接続されたサブシステムを有する階層システムの強化学習型制御
菊谷彪文; 定本知徳
第64回自動制御連合講演会
2021 - 大規模系統の日間需給計画のセキュリティチェックと計画修正の基礎検討
中村 徳志; 益田 泰輔; 河辺 賢一; 定本知徳
電力技術, 電力系統技術, 半導体電力変換合同研究会
2020 - 風力発電機のパラメトリック共振に対する可制御性改善:直列補償アプローチの提案
定本知徳; Aranya Chakrabortty
第7回制御部門マルチシンポジウム
2020 - 強化学習を用いた分散最適制御
星屋知輝; 定本知徳
第7回制御部門マルチシンポジウム
2020 - 参照信号整形による電力系統の強靭化
定本知徳; 井上正樹; 金子修
第63回自動制御連合講演会
2020 - 未知かつ部分可観測な線形システムに対する入出力履歴のフィードバック型制御: 強化学習に基づくアプローチ
平井卓実; 定本知徳
第63回自動制御連合講演会
2020 - AGC30モデルを用いたリアルタイムOPFの有効性に関する予備検討
宮岡陽太郎; 定本知徳
第8回制御部門マルチシンポジウム
2020 - フィードフォワード制御のデータ駆動型設計における制御性能解析
小林史弥; 定本知徳; 金子修
第62回自動制御連合講演会
2019 - 通信遅延を有するWADC の効果に対する予備分析
潮崎祐亮; 山口順之; 定本知徳
平成30 年電気学会全国大会
2018 - Power System Stabilizer Design of PV-Integrated Power Systems based on Retrofit Control
Tomonori Sadamoto; Takayuki Ishizaki; Jun-ichi Imura
第5回制御部門マルチシンポジウム
2018 - Controllability Enhancement of DFIGs by using B2B Converters
Tomonori Sadamoto; Aranya Charkrabortty; Jun-ichi Imura
第6回制御部門マルチシンポジウム
2018 - 電力系統の減衰性能を強化する潮流状態の設計
荒幡充; 井上正樹; 定本知徳; 鈴村美月
第6回制御部門マルチシンポジウム
2018 - むだ時間系に対するデータ駆動型参照値整形
桑原圭佑; 定本知徳; 金子修
第62回自動制御連合講演会
2018 - 内部位相角を考慮した多入力電力安定化装置の評価
大谷侑輝; 山口順之; 定本知徳
平成29年電気学会全国大会
2017 - A Compensation Principle for Controller Retrofit
Takayuki Ishizaki; Tomonori Sadamoto; Jun-ichi Imura
第4回制御部門マルチシンポジウム
2017 - Retrofitting State Feedback Control of Networked Nonlinear Systems Based on Hierarchical Expansion
Tomonori Sadamoto; Takayuki Ishizaki; Jun-ichi Imura
第59回自動制御連合講演会
2016 - 広域減衰制御器の通信遅延が電力系統安定度に及ぼす影響に関する基礎検討
潮崎祐亮; 山口順之; 定本知徳
平成29年電気学会全国大会
2016 - 電力系統におけるロバストな潮流状態の探索
荒幡充; 井上正樹; 定本知徳; 鈴村美月
第61回自動制御連合講演会
2016 - 大規模線形ネットワークシステムに対する平均値カルマンフィルタ
渡邉郁弥; 定本知徳; 石崎孝幸; 小池雅和; 井村順一
第2回制御部門マルチシンポジウム
2015 - Novel Framework of Power Supply Scheduling from a Viewpoint of Spatio-Temporal Aggregation
Tomonori Sadamoto; Takayuki Ishizaki; Masakazu Koike; Ikuma Muto; Jun-ichi Imura
第1回制御部門マルチシンポジウム
2014 - Projective State Observers for Large-Scale Linear Systems
Tomonori Sadamoto; Takayuki Ishizaki; Jun-ichi Imura
第1 回制御部門マルチシンポジウム
2014 - 区間2次計画問題の単調性解析と火力機の調整力最小化問題への応用
小池雅和; 石崎孝幸; 定本知徳; 井村順一
第1回制御部門マルチシンポジウム
2014 - 需要側への移動平均型電力消費要求を用いた需給-蓄電バランシング
武藤生磨; 石崎孝幸; 定本知徳; 小池雅和; 井村順一
第57回自動制御連合講演会
2014 - グローカルな観点による拡大可能なネットワークシステムの制御
定本知徳; 石崎孝幸; 小池雅和; 井村順一
第2回制御部門マルチシンポジウム
2014 - パラメータ依存性をもつ2次計画問題の解析と電力システムへの応用
小池雅和; 石崎孝幸; 定本知徳; 井村順一
第56回自動制御連合講演会
2013 - 可塑化シリンダの非線形モデリングとその低次元化
定本知徳; 加嶋健司; 水野博之; 森田洋
第41回制御理論シンポジウム
2012 - 未知システムに対する再学習なしロバスト最適適応制御
定本知徳; 山北昌毅
第11回適応学習制御シンポジウム
2011 - 不連続評価関数を持つ未知システムに対するロバスト最適適応制御
定本知徳; 山北昌毅
第55回システム制御情報学会研究発表講演会
2011 - 未知システムに対するロバスト最適適応制御
定本知徳; 山北昌毅
第39回制御理論シンポジウム
2010
Courses
Research Themes
- データ価値・モデル精度・制御性能のトリニティ解明によるシステム設計論
文部科学省, 科学研究費助成事業, 若手研究, Principal investigator, 25038903
Apr. 2025 - Mar. 2028 - 「足るを知れる」データ駆動型システム設計論：どこまで把握/制御/保護できるか
定本知徳
日本学術振興会, 科学研究費助成事業, 電気通信大学, 若手研究, 22K14276
Apr. 2022 - Mar. 2026 - 暗号化制御系におけるセキュリティメトリクスの顕在化
小木曽 公尚; 金子 修; 畑 秀明; 和田 洋一郎; 小泉 憲裕; 定本 知徳; 宮嵜 哲郎; 澤田 賢治; 猪俣 敦夫
日本学術振興会, 科学研究費助成事業, 電気通信大学, 基盤研究(B), 23K22779
01 Apr. 2022 - 31 Mar. 2025 - 暗号化制御系におけるセキュリティメトリクスの顕在化
小木曽公尚
日本学術振興会, 科学研究費助成事業, 電気通信大学, 基盤研究(B), 22H01509
Apr. 2022 - Mar. 2025 - 制御・データ・仕様の三項関係に基づくデータ駆動制御理論―創成・体系化・新展開
金子修
2020 - 2023 - 次世代電力系統の安定運用のための潮流設計理論
2019 - 2020 - 特別研究員奨励費
Apr. 2014 - Mar. 2016
Industrial Property Rights
- 射出成形機
Patent right, 2012-189257, Date applied: 2012, 2014-46488, Date announced: 2014 - 射出成形機
Patent right, 2012-189258, Date applied: 2012, 2014-46489, Date announced: 2014 - 射出成形機
Patent right, 2013-44477, Date applied: 2013, 2013-224017, Date announced: 2013 - フィードバック制御器設計装置、フィードバック制御装置、及びフィードバック制御器設計方法
Patent right, 2012-77992, Date applied: 2012, 2013-206408, Date announced: 2013 - フィードバック制御器設計装置、及びフィードバック制御器設計方法
Patent right, 2012-130194, Date applied: 2012, 2013-254396, Date announced: 2013
