Recent Publication

• 山本 英里，滑川 徹
  “安定マッチングに基づく貨客混載車両のキャリア間提携経路最適化”
  計測自動制御学会論文集，Vol.58，No.2，pp. 81-91. 2022.
• 山内 賢，梅澤 結花，瀬戸 洋紀，今村 稔朗，滑川 徹，
  “階層型モデル予測制御によるmild HEVの燃費最適化”，
  計測自動制御学会論文集，Vol.58，No.4，2022.
• 梅澤 結花，大川 佳寛，滑川 徹，
  “太陽光発電量予測に基づく複数 BEMS における分散型電力取引システム”，
  計測自動制御学会論文集，Vol.58，No.4，2022．
• Yuka Umezawa, Ken Yamauchi, Hiroki Seto, Toshiro Imamura, Toru Namerikawa,
  “Optimization of fuel consumption and NOx emission for mild HEV via hierarchical model predictive control“,
  Control Theory and Technology, 2022.
• Takuya Nakazato, Yuto Fujimaki and Toru Namerikawa,
  “Parking lot allocation using rematching and dynamic parking fee design“,
  IEEE Transactions on Control of Network Systems, Vol. 9, No. 4, pp. 1692-1703, 2022
• Shun Sasaki, Eri Yamamoto and Toru Namerikawa,
  “Construction of One-Way Car-Sharing System Considering Coalition Rationality Based on Mechanism Design“,
  IEEE Transactions on Control of Network Systems, Vol. 9, No. 4, pp. 1655-1665, 2022
• Takumi Shinohara and Toru Namerikawa,
  “Distributed secure state estimation with a priori sparsity information“,
  IET Control Theory & Applications, Vol.16, No.11, pp.1086-1097, 2022
• Fiona Weiß, Yuto Fujimaki, Toru Namerikawa
  “Dynamic Pricing in an Intraday Market with Application to Peer-To-Peer Trading”
  SICE International Symposium on Control Systems 2022, Online, March 8~10.
• Yuka Umezawa, Hiroki Seto, Toshiro Imamura, Toru Namerikawa，
  “Reducing Air Pollutant Emissions and Optimizing Fuel Economy by Controlling Torque and Catalyst warm-up in mild HEV”,
  The 13th Asian Control Conference 2022, Online, May 4~7.
• Eri Yamamoto, Toru Namerikawa，
  “Route optimization of mixed package-passenger system with matching based on cost sharing among passengers”,
  The 13th Asian Control Conference 2022, Online, May 4~7.
• Akira Kuchiki, Toru Namerikawa,
  “Cooperative Control of Connected and Automated Vehicles at Signal-free Intersections Considering Passenger Comfort”,
  The SICE Annual Conference 2022, September 6-9, 2022, Kumamoto, Japan
• Toru Namerikawa,
  “Power Demand-Supply Adjustment via Negawatt Trading Based on Regret Matching“,
  Proc. of IEEE 61st Conference on Decision and Control, pp. 4394-4399, 2022
• Yoshihiro Okawa, Tomotake Sasaki, Hitoshi Yanami and Toru Namerikawa
  “Safe Exploration Method for Reinforcement Learning under Existence of Disturbance“,
  Proc. of European Conference on Machine Learning and Principles and Practice of Knowledge
  Discovery in Databases 2022 (ECML PKDD 2022), Sep. 22nd, 2022.
• Shun Sasaki and Toru Namerikawa,
  “Optimal Incentive Design for One-Way EV Car Sharing System“,
  Proc. of IEEE Conference on Control Technology and Applications, pp. 851-856, 2022
• Ryo Namerikawa and Toru Namerikawa,
  “Distributed Partial State Estimation via Virtual Distributed Observers“
  Proc. of 2022 American Control Conference, pp. 1473-1478, 2022