Publications

Journal Articles

  1. Y. Cao, Y. Ikenoya, T. Kawaguchi, S. Hashimoto, and T. Morino: A Real-Time Application for the Analysis of Multi-Purpose Vending Machines with Machine Learning, Sensors, Vol. 23, No. 4 (2023) (Link to Full Text)
  2. T. Kawaguchi, T. Ohyama, I. Maruta, K. Osamura, J. Katashiba, and S. Adachi: Recursive Estimation of Effective Resistance for Rechargeable Batteries with μ-Markov Model, Transactions of Society of Automotive Engineers of Japan, Vol. 52, No. 6, pp. 1323-1328 (2021) (Link to Full Text) (in Japanese)
  3. T. Ishizaki, H. Sasahara, M. Inoue, T. Kawaguchi, and J. Imura: Modularity in Design of Dynamical Network Systems: Retrofit Control Approach, IEEE Transactions on Automatic Control, Vol. 66, No. 11, pp. 5205-5220 (2021) (Link to Full Text) (arXiv)
  4. T. Yang, S. Hashimoto, T. Kawaguchi, and W. Jiang: Model Predictive Torque Control of Interior Permanent Magnet Synchronous Motor poweredby Three-phase Four-switch Voltage-source Inverter, International Core Journalof Engineering (2021 accepted)
  5. T. Yang, T. Kawaguchi, S. Hashimoto, and W. Jiang: Switching Sequence Model Predictive Direct Torque Control of IPMSMs for EVs in Switch Open-Circuit Fault-Tolerant Mode, Energies, Vol. 13, No. 21 (2020) (Link to Full Text)
  6. Y. Liu, S. Xu, S. Hashimoto, and T. Kawaguchi: A Reference-Model-Based Neural Network Control Method for Multi-Input Multi-Output Temperature Control System, Processes, Vol. 8, No. 11 (2020) (Link to Full Text)
  7. R. Sasaki, T. Kawaguchi, I. Maruta, S. Adachi, J. Katashiba, and K. Osamura: Internal Impedance Estimation of Rechargeable Batteries in Automobiles Using µ-Markov Model, Transactions of the Society of Instrument and Control Engineers, Vol. 56, No. 2, pp. 67-69 (2020) (in Japanese)
  8. F. Watanabe, T. Kawaguchi, T. Ishizaki, H. Takenaka, T. Nakajima, and J. Imura: Day-ahead Scheduling Method for Electricity Markets Using Neural Networks, Transactions of the Society of Instrument and Control Engineers, Vol. 56, No. 2, pp. 57-66 (2020) (in Japanese)
  9. T. Ishizaki, T. Kawaguchi, H. Sasahara, and J. Imura: Retrofit Control with Approximate Environment Modeling, Automatica, Vol. 107, pp. 442–453 (2019) (Link to Full Text) (arXiv)
  10. F. Watanabe, T. Kawaguchi, T. Ishizaki, H. Takenaka, T. Nakajima, and J. Imura: Machine Learning Approach to Day-ahead Scheduling for Multi-period Energy Markets, Transactions of the Society of Instrument and Control Engineers, Vol. 55, No. 10, pp. 593-601 (2019) (in Japanese)
  11. T. Kawaguchi, M. Inoue, and S. Adachi: State estimation under Lebesgue sampling and an approach to event-triggered control, SICE Journal of Control, Measurement, and System Integration, Vol. 10, No. 3, pp. 259–265 (2017) (Link to Full Text)
  12. K. Hattaha, M. Inoue, T. Kawaguchi, K. Osamura, and S. Adachi: Robust Gain-scheduled Observer Design for State-of-charge Estimation of Rechargeable Battery with Hysteresis Characteristics, Transactions of the Society of Instrument and Control Engineers, Vol. 53, No. 11, pp. 574-582 (2017) (in Japanese)
  13. T. Kawaguchi, S. Hikono, I. Maruta, and S. Adachi: System Identification under Lebesgue Sampling, Transactions of the Society of Instrument and Control Engineers, Vol. 53, No. 3, pp. 236-243 (2017) (in Japanese)
  14. T. Higo, T. Kawaguchi, and S. Adachi: System Identification of Time-delay Systems via Discrete-time Model with Non-integer Time-delay, Transactions of the Society of Instrument and Control Engineers, Vol. 53, No. 8, pp. 490-492 (2017) (in Japanese)
  15. Y. Takeshita, T. Kawaguchi, and S. Adachi: On System Identification of a System with Integrators, Transactions of the Society of Instrument and Control Engineers, Vol. 50, No. 4, pp. 342-347 (2014) (in Japanese)
  16. T. Kawaguchi, I. Maruta, A. Baba, and S. Adachi: Continuous-time System Identification of Rechargeable Battery in Electric Vehicles in Consideration of Diffusion Phenomena, Transactions of the Society of Instrument and Control Engineers, Vol. 49, No. 7, pp. 670-677 (2013) (in Japanese)

International Conferences (peer reviewed)

  1. P. Dey, T. Kawaguchi, Y. Yano, Y. Hanado, Y. Kurata, and T. Ishizaki: Synchronization of Atomic Clock Ensemble for Time-Scale Generation: Steering Based on Observable Subspace Selection, 63rd IEEE Conference on Decision and Control, Allianz MiCo, Milan Convention Centre, Italy (2024.12 accepted)
  2. T. Okuzawa, K. Mitsuma, T. Kawaguchi, and S. Hashimoto: Nonlinear System Identification Using Deep Neural Network with Kernel-Based Regularization, SICE Festival 2024 with Annual Conference, Kochi, Japan (2024.8 accepted)
  3. K. Mitsuma, T. Kawaguchi, S. Hashimoto, K. Kaneko, and T. Nagashima: Prediction of Waste Treatment Plant Operation by Deep-Learning-Based Nonlinear System Identification, SICE Festival 2024 with Annual Conference, Kochi, Japan (2024.8 accepted)
  4. J. Wang, K. Motegi, Y. Shiraishi, T. Machida, S. Hashimoto, and T. Kawaguchi: A Study on Cyclical Learning Rates in Reinforcement Learning and Its Application to Temperature and Power Consumption Control of Refrigeration System, SICE Festival 2024 with Annual Conference, Kochi, Japan (2024.8 accepted)
  5. P. Dey, S. Murugesan, T. Kawaguchi, Y. Yano, Y. Hanado, and T. Ishizaki: Clock Steering Techniques for Atomic Clocks of Arbitrary Order, European Control Conference 2024, Stockholm, Sweden (2024.6)
  6. *Y. Yan, T. Kawaguchi, T. Ishizaki, Y. Yano, and Y. Hanado: Spectral Decomposition in Kalman Filter Algorithm for Homogeneous Atomic Clock Ensembles, 62nd IEEE Conference on Decision and Control, pp. 3814-3819, Marina Bay Sands, Singapore (2023.12) (Link to Full Text)
  7. T. Kuroiwa, N. Kan, T. Kawaguchi, S. Hashimoto, T. Isogai, H. Soga, and H. Zhang: Object Tracking Algorithm for Person-Following Autonomous Robots, The 7th International Conference on Technology and Social Science, Online (2023.12)
  8. Z. Wang, J. Guo, L. Sun, T. Kawaguchi, and S. Hashimoto: On-Line Diagnosis of Heater Wire Breakage, The 7th International Conference on Technology and Social Science, Online (2023.12)
  9. X. Tang, F. Ishii, T. Kawaguchi, S. Hashimoto, N. Kurita, N. Hishinuma, K. Egura, and F. Miyamoto: Design of Low-Power Consumption of Magnetic Levitate Transportation Unit Based on State Feedback Controller, 49th Annual Conference of the IEEE Industrial Electronics Society, pp. 1-5, Marina Bay Sands, Singapore (2023.10) (Link to Full Text)
  10. Y. Yan, T. Kawaguchi, Y. Yano, Y. Hanado, and T. Ishizaki: Equivalence of JST Algorithm and Kalman Filtering Algorithm for Time Scale Generation, 2023 IEEE International Symposium on Precision Clock Synchronization for Measurement, Control, and Communication, pp. 1-7, London, England (2023.9) (Link to Full Text)
  11. *R. Mikami, S. Hashimoto, and T. Kawaguchi: Identification of ARX Models using Block-Sparse Estimation Method, SICE Annual Conference 2023, Tsu, Japan (2023.9)
  12. *Y. Yan, N. Jensen, T. Kawaguchi, Y. Yano, Y. Hanado, and T. Ishizaki: Possibility of Prediction Improvements for Atomic Clock Ensembles: Basis Selection in Undetectable Systems, IFAC World Congress 2023, Yokohama, Japan (2023.7) (Link to Full Text)
  13. S. Takano, *T. Kawaguchi, S. Asami, R. Sasaki, S. Sugimoto, Y. Shinya, and S. Adachi: A Deep Neural Network with Module Architecture for Model Reduction and its Application to Nonlinear System Identification, IFAC World Congress 2023, Yokohama, Japan (2023.7) (Link to Full Text)
  14. *T. Ichimura, T. Kawaguchi, Y. Yano, Y. Hanado, and T. Ishizaki: Evaluation of Stability of Higher-Order Atomic Clocks by Higher-Order Allan Variance, IFAC World Congress 2023, Yokohama, Japan (2023.7) (Link to Full Text)
  15. *T. Kawaguchi, I. Maruta, and S. Adachi: System identification with piecewise-constant finite impulse response model and its statistical property, IFAC World Congress 2023, Yokohama, Japan (2023.7) (Link to Full Text)
  16. T. Ishizaki, T. Ichimura, T. Kawaguchi, Y. Yano, and Y. Hanado: Analytical Expression of Higher-Order Allan Variance for Atomic Clock Models, The 2023 Joint Conference of the IEEE International Frequency Control Symposium & European Frequency and Time Forum, Toyama, Japan (2023.5)
  17. T. Kawaguchi, Y. Kakinuma, T. Ishizaki, Y. Yano, and Y. Hanado: State Estimation of Atomic Clocks by Kalman Filter Using Time-Delayed Observation, The 2023 Joint Conference of the IEEE International Frequency Control Symposium & European Frequency and Time Forum, Toyama, Japan (2023.5)
  18. J. Guo, S. Hashimoto, T. Kawaguchi, and M. Kigure: Artificial Neural Network Control of Interior Permanent Magnet Motors, The joint international conferences of The 11th International Science, Social Sciences, Engineering and Energy Conference and The 6th International Conference on Technology and Social Science, Online (2022.12)
  19. L. Sun, W. Jiang, S. Hashimoto, T. Kawaguchi, and M. Huang: Load-series Partial-power Converter for DC Power Management, The joint international conferences of The 11th International Science, Social Sciences, Engineering and Energy Conference and The 6th International Conference on Technology and Social Science, Online (2022.12)
  20. T. Ishizaki, M. Ito, *T. Kawaguchi, and A. Chakrabortty: Data-Adaptive Retrofit Control for Power System Stabilizer Design, 61st IEEE Conference on Decision and Control, Cancun, Mexico (2022.12)
  21. Y. Aoyama, T. Kawaguchi, and S. Adachi: System Identification of Linear Systems in the Presence of Persistent Disturbances Using Asymptotic Identification Method, SICE Annual Conference 2022, Kumamoto, Japan (2022.9)
  22. S. Takano, T. Kawaguchi, S. Asami, R. Sasaki, Y. Shinya, and S. Adachi: A Study of Retraining-Free Pruning for Deep Neural Networks, SICE Annual Conference 2022, Kumamoto, Japan (2022.9)
  23. K. Negishi, T. Kawaguchi, and S. Hashimoto: Retrofit Controller Design Using a Finite Impulse Response Representation and Reinforcement Learning, SICE Annual Conference 2022, Kumamoto, Japan (2022.9)
  24. M. Ito, T. Kawaguchi, A. Chakrabortty, and T. Ishizaki: Sequential Distributed Development of Multiple Retrofit Controllers: Independence of Identification, Design, and Operation, European Control Conference 2022, Online (2022.7)
  25. Y. Ikenoya, Y. Cao, T. Kawaguchi, S. Hashimoto, and T. Morino: Machine Leaning-Based Diagnosis for Multi-Purpose Vending Machines, International Conference on Technology and Social Science 2021, Online (2021.12)
  26. T. Yang, S. Hashimoto, W. Jiang, and T. Kawaguchi: Optimal Predictive Direct Power Control for Active NPC Three-level Rectifier, International Conference on Technology and Social Science 2021, Online (2021.12)
  27. Y. Liu, S. Xu, S. Kobori, S. Hashimoto, and T. Kawaguchi: Time-Delay Temperature Control System Design based on Recurrent Neural Network, The 4th IEEE International Conference on Industrial Cyber-Physical Systems, pp. 820-825, Online (2021.5) (Link to Full Text)
  28. T. Yang, R. Honda, T. Kawaguchi, S. Hashimoto, S. Xu, M. Kigure, and M. Shibuya: Online Learning Algorithm-Based High-Efficient Control of IPM motors, The 4th IEEE International Conference on Industrial Cyber-Physical Systems, pp. 805-809, Online (2021.5) (Link to Full Text)
  29. T. Yang, S. Hashimoto, T. Kawaguchi, and W. Jiang: A switching sequence model predictive direct torque control of IPM motors, International Conference on Technology and Social Science 2020, Online (2020.12)
  30. Y. Cao, S. Xu, S. Hashimoto, T. Kawaguchi, Y. Fujii, A. Takita, and W. Jiang: Control Design of a Lightweight Helmet Type Full-face Mask, International Conference on Technology and Social Science 2020, Online (2020.12)
  31. Y. Liu, S. Xu, S. Hashimoto, and T. Kawaguchi: Design and Verification of Reference-model-based Neural Network Control for Multi-input Multi-output Temperature Control System, International Conference on Technology and Social Science 2020, Online (2020.12)
  32. *G. Nishida, H. Ito, H. Ohtake, T. Kawaguchi, and J. Imura: Optimal Fast Demand Response Based on PV Power Predictions in Multi-Layer Smart Grids, SICE Annual Conference 2020, Online (2020.9)
  33. T. Kawaguchi, T. Ishizaki, A. Chakrabortty, and J. Imura: Block-Decentralized Damping Control of Power Systems using Retrofit Control Theory, European Control Conference 2020, pp. 1540-1545, Online (2020.7) (Link to Full Text)
  34. *R. Sasaki, T. Kawaguchi, I. Maruta, S. Adachi, J. Katashiba, and K. Osamura: System Identification of Rechargeable Batteries in Vehicles using Semi-parametric Approach, SICE Annual Conference 2019, Hiroshima, Japan (2019.9)
  35. *T. Kawaguchi, T. Ishizaki, and J. Imura: Retrofit Control of Power Systems: Cooperation of Decentralized Controller and Global Controller, SICE Annual Conference 2019, Hiroshima, Japan (2019.9) (Link to Full Text)
  36. *I. Naharudinsyah, T. Ishizaki, T. Kawaguchi, and J. Imura: Model Predictive Control Based Data-Driven Retrofit Controller for Network Systems, 2019 IEEE Conference on Control Technology and Applications, Hong Kong, China (2019.8)
  37. *F. Watanabe, T. Kawaguchi, T. Ishizaki, and J. Imura: Day-ahead Strategic Marketing of Energy Prosumption: A Machine Learning Approach Based on Neural Networks, European Control Conference 2019, pp. 3910-3915, Naples, Italy (2019.6) (Link to Full Text)
  38. *F. Watanabe, T. Kawaguchi, T. Ishizaki, and J. Imura: Numerical Study for Day-ahead Scheduling Based on Machine Learning Approaches, SICE International Symposium on Control Systems 2019, Kumamoto, Japan (2019.3)
  39. *F. Watanabe, T. Kawaguchi, T. Ishizaki, H. Takenaka, T. Nakajima, and J. Imura: Machine Learning Approach to Day-ahead Scheduling for Multiperiod Energy Markets under Renewable Energy Generation Uncertainty, 57th IEEE Conference on Decision and Control, Miami Beach, USA (2018.12) (Link to Full Text)
  40. *R. Sasaki, T. Kawaguchi, K. Hattaha, M. Inoue, and S. Adachi: Observability Analysis for Simultaneous State and Physical Parameters Estimation of Rechargeable Batteries, 2018 IEEE Conference on Control Technology and Applications, pp. 1409-1414, Copenhagen, Denmark (2018.8) (Link to Full Text)
  41. *M. Takeuchi, T. Kawaguchi, M. Inoue, M. Naruoka, and S. Adachi: Identification of Decentralized System with Common Parameters, 2018 IEEE Conference on Control Technology and Applications, pp. 1508-1513, Copenhagen, Denmark (2018.8) (Link to Full Text)
  42. *T. Kawaguchi, I. Maruta, K. Osamura, and S. Adachi: Difference-based Identification Method for Systems with Rate-independent Hysteresis and Its Application to Rechargeable Battery, 18th IFAC Symposium on System Identification, pp. 150 - 155, Stockholm, Sweden (2018.7) (Link to Full Text)
  43. T. Higo, T. Kawaguchi, *M. Itamoto, and S. Adachi: Recursive Identification of Fractional Time-Delay Systems Using Discrete-Time Model, 18th IFAC Symposium on System Identification, pp. 939 - 944, Stockholm, Sweden (2018.7) (Link to Full Text)
  44. *T. Kawaguchi, T. Ishizaki, H. Sasahara, and J. Imura: Retrofit Control with System Identification for Transient Stabilization in Power Systems, Grand Renewable Energy 2018 international conference, Yokohama, Japan (2018.6)
  45. *T. Higo, T. Kawaguchi, and S. Adachi: System Identification of Time-delay System via Discrete-Time Model with Non-Integer Time-Delay, SICE Annual Conference 2017, pp. 591–594, Kanazawa, Japan (2017.9) [MATLAB]
  46. *T. Kawaguchi, M. Inoue, I. Maruta, and S. Adachi: System Identification and State Estimation under Lebesgue Sampling: Use of Inter-Sample Information, 2017 IEEE Conference on Control Technology and Applications, pp. 1408–1413, Hawaii, USA (2017.8) (Link to Full Text)
  47. *K. Hattaha, M. Inoue, T. Kawaguchi, K. Osamura, and S. Adachi: State-of-Charge Estimation of Rechargeable Battery with Hysteresis Characteristics Using Robust Gain-scheduled Observer, 2017 IEEE Conference on Control Technology and Applications, pp. 933–938, Hawaii, USA (2017.8) (Link to Full Text)
  48. *T. Kawaguchi, S. Hikono, I. Maruta, and S. Adachi: System identification under Lebesgue sampling and its asymptotic property, 55th IEEE Conference on Decision and Control, pp. 2079–2084, Las Vegas, USA (2016.12) (Link to Full Text)
  49. *T. Kawaguchi, M. Inoue, and S. Adachi: State estimation by particle filter under Lebesgue sampling, SICE Annual Conference 2016, pp. 1714–1717, Tsukuba, Japan (2016.9)
  50. *S. Hikono, A. Sugiura, T. Kawaguchi, A. Baba, I. Maruta, and S. Adachi: Continuous-time system identification of rechargeable battery in electric vehicles in consideration of temperature characteristics, IEEE Multi-Conference on Systems and Control 2015, pp. 1939–1944, Sydney, Australia (2015.9) (Link to Full Text)