Papers - Inoue, Masaki

Chat-driven interface for virtual network reallocation

Yuya Miyaoka, Masaki Inoue, Kengo Urata, Shigeaki Harada

Proceedings of the 2025 IEEE International Conference on Communications accepted 2025

Research paper (international conference proceedings), Joint Work, Accepted

Detachable Robot That Moves the Baby Bouncer

Onosato N., Sawada N., Kawasaki Y., Takeda M., Inoue M., Sugiura Y.

2025 IEEE/SICE International Symposium on System Integration, SII 2025    134 - 140 2025

Research paper (international conference proceedings)

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Trust-aware safe control for autonomous navigation: Estimation of system-to-human trust for trust-adaptive control barrier functions

Saad Ejaz, Masaki Inoue

IEEE Transactions on Control Systems Technology in press 2024.10

Research paper (scientific journal), Joint Work, Last author, Accepted

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ChatMPC: Natural language based MPC personalization

Yuya Miyaoka, Masaki Inoue, Tomotaka Nii

Proceedings of the 2024 American Control Conference    3598 - 3603 2024.09

Research paper (international conference proceedings), Joint Work, Last author, Accepted

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Tolling scheme for traffic flow networks: Modeling and control of positive systems

Takumi Udagawa, Masaki Inoue,

International Journal of Control in press 2024.07

Research paper (scientific journal), Joint Work, Last author, Accepted

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Gig work systems design for dynamic work management with freelancers

Riko Asanaka, Masaki Inoue

Proceedings of the 2023 IEEE International Conference on Systems, Man, and Cybernetics    3534 - 3539 2024.01

Research paper (international conference proceedings), Joint Work, Last author, Accepted

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Tolling for traffic flow networks: Positive systems modeling and control

Takumi Udagawa, Masaki Inoue

IFAC-PapersOnLine 56 ( 2 ) 13 - 18 2023.11

Research paper (international conference proceedings), Joint Work, Last author, Accepted

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Semi-continuous descent operation: A fuel-efficient interval management algorithm

Shinji Wada, Minami Ishii, Masaki Inoue, Daichi Toratani

Journal of Aircraft (AIAA)  61 ( 2 ) 595 - 605 2023.09

Research paper (scientific journal), Joint Work, Corresponding author, Accepted

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Dissipativity-constrained approximation of MPC with guaranteeing closed-loop stability

Keita Hara, Masaki Inoue, Noboru Sebe

Automatica 157 2023.08

Research paper (scientific journal), Joint Work, Corresponding author, Accepted,  ISSN  00051098

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Structural modeling and intervention of gene regulatory networks for ultra-early disease prevention

Ryou Naga, Masaki Inoue

Proceedings of the 2023 SICE International Symposium on Control Systems    58 - 63 2023.03

Research paper (international conference proceedings), Joint Work, Last author, Accepted

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Incentive and nudge design for human behavioral change

Riko Asanaka, Masaki Inoue, Toshiki Homma, Kenji Sawada

SICE Journal of Control, Measurement, and System Integration 16 ( 1 ) 48 - 54 2023.02

Research paper (scientific journal), Joint Work, Accepted

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Light guidance control of human drivers: Driver modeling, control system design, and VR experiment

Masahiko Takeda, Masaki Inoue, Xinrui Fang, Yuki Minami, Jose Maria Maestre

IFAC-PapersOnLine 55 ( 41 ) 32 - 37 2023.02

Research paper (international conference proceedings), Joint Work, Accepted

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Personalized control system via reinforcement learning: Maximizing utility based on user ratings

Tomotaka Nii, Masaki Inoue

SICE Journal of Control, Measurement, and System Integration 16 ( 1 ) 18 - 26 2023.01

Research paper (scientific journal), Joint Work, Last author, Accepted,  ISSN  1882-4889

　View Summary

In this paper, we address the design of personalized control systems, which pursue individual objectives defined for each user. To this end, a problem of reinforcement learning is formulated where an individual objective function is estimated based on the user rating on his/her current control system and its corresponding optimal controller is updated. The novelty of the problem setting is in the modelling of the user rating. The rating is modelled by a quantization of the user utility gained from his/her control system, defined by the value of the objective function at his/her control experience. We propose an algorithm of the estimation to update the control law. Through a numerical experiment, we find out that the proposed algorithm realizes the personalized control system.

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Instant distributed MPC with reference governor

Martin Figura, Lanlan Su, Masaki Inoue, Vijay Gupta

International Journal of Control 97 ( 4 )  2023.01

Research paper (scientific journal), Joint Work, Accepted

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Personalization of control systems by policy update with improving user trust

Tomotaka Nii, Masaki Inoue

IEEE Control Systems Letters 7   889 - 894 2022.12

Research paper (scientific journal), Joint Work, Last author, Accepted,  ISSN  2475-1456

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Modularity in design of dynamical network systems: Retrofit control approach

Takayuki Ishizaki, Hanpei Sasahara, Masaki Inoue, Takahiro Kawaguchi, Jun-ichi Imura

IEEE Transactions on Automatic Control 66 ( 11 ) 5205 - 5220 2021.11

Research paper (scientific journal), Joint Work, Accepted,  ISSN  00189286

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Gain-preserving data-driven approximation of the Koopman operator and its application in robust controller design

Keita Hara, Masaki Inoue

Mathematics 9 ( 9 )  2021.05

Research paper (scientific journal), Joint Work, Last author, Corresponding author, Accepted

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Control predictivo de sistemas ciberfísicos

José María Maestre, Paula Chanfreut, Javier García Martín, Eva Masero, Masaki Inoue, Eduardo F. Camacho

Revista Iberoamericana de Automatica e Informatica Industrial 19 ( 1 ) 1 - 12 2021

Research paper (scientific journal), Joint Work, Accepted,  ISSN  16977912

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グレーボックスモデルを用いた参照信号整形による電力レジリエンス強化

定本 知徳，井上 正樹，金子 修

電気学会論文誌Ｃ 141 ( 5 ) 694 - 703 2021

Research paper (scientific journal), Joint Work, Accepted

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Safe-update of bi-layered controller and its application to power systems

Toshiki Homma, Masaki Inoue, Jun-ichi Imura, Kengo Urata

SICE Journal of Control, Measurement, and System Integration 14 ( 2 ) 90 - 96 2021

Research paper (scientific journal), Joint Work, Accepted

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