Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yoshihiro Sakayanagi"'
Publikováno v:
IEEE Access, Vol 10, Pp 103619-103631 (2022)
This paper proposes risk-aware energy management for drive mode control in plug-in hybrid electric vehicles (PHEVs) to reduce fuel consumption. This paper focuses on reducing fuel usage in scenarios in which energy demands along a planned route are s
Externí odkaz:
https://doaj.org/article/f44447490e3e419aa39d5262cca93883
Autor:
Ryunosuke Watanabe, Koju Nishimoto, Tatsuya Ibuki, Yoshihiro Sakayanagi, Riku Funada, Mitsuji Sampei
Publikováno v:
Proc. 2022 American Control Conference. :3064-3070
Publikováno v:
IFAC-PapersOnLine. 53:14135-14140
This paper proposes an online optimal mode control method to minimize fuel consumption for plug-in hybrid vehicles (PHVs) considering two drive modes: electric vehicle (EV) and hybrid vehicle (HV) modes. The proposed method predicts fuel and electric
Publikováno v:
Transactions of the Society of Instrument and Control Engineers. 55:331-341
Publikováno v:
CCTA
This paper presents a route-optimized drive mode switching control method for plug-in hybrid vehicles (PHVs) and its experimental validation. The research objective is to reduce fuel usage in situations where energy consumption along a route is proba
Publikováno v:
CDC
This paper proposes an engine knocking detection approach based on probability density functions (PDFs). In this work, we suppose that the PDF of knocking intensity distribution can be approximated by a mixture of two Gaussian functions due to normal
Autor:
Mitsuji Sampei, Tahara Kohei, Tatsuya Ibuki, Kazuma Sekiguchi, Yoshihiro Sakayanagi, Shunpei Tamaki
Publikováno v:
Scopus-Elsevier
This paper newly proposes an on-line learning method for control maps by using Gaussian filters. In the present method, man-hours for calibration of control maps can be decreased, and complicated structures of control maps are learned without prior k
Publikováno v:
SICE Journal of Control, Measurement, and System Integration. 2(No. 3):131-138
The solvable condition of nonlinear H∞ control problems is given by the Hamilton Jacobi inequality (HJI). The state-dependent Riccati inequality (SDRI) is one of the approaches used to solve ...
Publikováno v:
CDC
Recently, nonlinear H? control theory has been paid attention. The solvable condition of nonlinear H? control problem is given by the Hamilton Jacobi inequality (HJI). State-Dependent Riccati Inequality (SDRI) is one of approaches to solve the HJI. T
Publikováno v:
IFAC Proceedings Volumes. 41:182-187
Recently, nonlinear H ∞ control theory has been paid attention for the powerful design method for a robust stabilization. The solvable condition of nonlinear H ∞ control problem is given by the Hamilton Jacobi Inequality (HJI). The HJI is the par