Presentation 2017-06-19
An Optimization Method for Automotive Engine Control Parameters Using Gradient Methods
Shogo Masuda, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this study, we address a problem to obtain optimum control parameters by computing an inverse image of the target output value using a function, called RBF approximate function, that models a part of behavior of automobile engines by linear combination of radial basis functions (RBFs). To efficiently search optimum control parameters, we propose a constrained optimization method using gradient methods and the Newton method. Experimental results show that the proposed method can efficiently find optimum control parameters for RBFs targeted in this study.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Optimization of automotive engine control parameters / gradient methods / Newton method / RBF approximate functions
Paper # CAS2017-6,VLD2017-9,SIP2017-30,MSS2017-6
Date of Issue 2017-06-12 (CAS, VLD, SIP, MSS)

Conference Information
Committee SIP / CAS / MSS / VLD
Conference Date 2017/6/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Niigata University, Ikarashi Campus
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Masahiro Okuda(Univ. of Kitakyushu) / Mitsuru Hiraki(Renesas) / Morikazu Nakamura(Univ. of Ryukyus) / Hiroyuki Ochi(Ritsumeikan Univ.)
Vice Chair Shogo Muramatsu(Niigata Univ.) / Naoyuki Aikawa(TUS) / Hideaki Okazaki(Shonan Inst. of Tech.) / Shigemasa Takai(Osaka Univ.) / Noriyuki Minegishi(Mitsubishi Electric)
Secretary Shogo Muramatsu(Chiba Inst. of Tech.) / Naoyuki Aikawa(Takushoku Univ.) / Hideaki Okazaki(Renesas) / Shigemasa Takai(Shonan Inst. of Tech.) / Noriyuki Minegishi(Toshiba)
Assistant Masayoshi Nakamoto(Hiroshima Univ.ひろ) / Yohei Nakamura(Hitachi) / Hideki Kinjo(Okinawa Univ.)

Paper Information
Registration To Technical Committee on Signal Processing / Technical Committee on Circuits and Systems / Technical Committee on Mathematical Systems Science and its applications / Technical Committee on VLSI Design Technologies
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Optimization Method for Automotive Engine Control Parameters Using Gradient Methods
Sub Title (in English)
Keyword(1) Optimization of automotive engine control parameters
Keyword(2) gradient methods
Keyword(3) Newton method
Keyword(4) RBF approximate functions
1st Author's Name Shogo Masuda
1st Author's Affiliation Hiroshima City University(Hiroshima City Univ.)
2nd Author's Name Shinobu Nagayama
2nd Author's Affiliation Hiroshima City University(Hiroshima City Univ.)
3rd Author's Name Masato Inagi
3rd Author's Affiliation Hiroshima City University(Hiroshima City Univ.)
4th Author's Name Shin'ichi Wakabayashi
4th Author's Affiliation Hiroshima City University(Hiroshima City Univ.)
Date 2017-06-19
Paper # CAS2017-6,VLD2017-9,SIP2017-30,MSS2017-6
Volume (vol) vol.117
Number (no) CAS-96,VLD-97,SIP-98,MSS-99
Page pp.pp.31-36(CAS), pp.31-36(VLD), pp.31-36(SIP), pp.31-36(MSS),
#Pages 6
Date of Issue 2017-06-12 (CAS, VLD, SIP, MSS)