{"id":7955,"date":"2021-08-04T10:26:45","date_gmt":"2021-08-04T01:26:45","guid":{"rendered":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/?post_type=tribe_events&p=7955"},"modified":"2022-02-01T16:11:02","modified_gmt":"2022-02-01T07:11:02","slug":"2021k002","status":"publish","type":"tribe_events","link":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/event\/2021k002\/","title":{"rendered":"\u3010\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u3011SICE-JSAE-AIMaP \u3000Advanced Automotive Control and Mathematics"},"content":{"rendered":"

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\nhttps:\/\/www.imi.kyushu-u.ac.jp\/publishes\/pub_inner\/id:2<\/a><\/span><\/p>\n

\u25a0\u65e5\u6642\uff1a2021\u5e749\u67088\u65e5(\u6c34) 14:15\u301c17\uff1a30
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\n\u25a0SICE2021\u30a6\u30a7\u30d6\u30da\u30fc\u30b8
\nhttps:\/\/www.sice.jp\/siceac\/sice2021\/<\/a><\/span><\/p>\n

\u25a0SICE2021\u30a6\u30a7\u30d6\u30da\u30fc\u30b8\u3067\u306e\u672c\u4f01\u753b
\nSICE-JSAE-AIMaP Advanced Automotive Control and Mathematics I<\/a><\/span>
\nSICE-JSAE-AIMaP Advanced Automotive Control and Mathematics \u2161<\/a><\/span><\/p>\n

\u25a0\u4e8b\u524d\u306b\u53c2\u52a0\u767b\u9332\uff08\u6709\u6599\uff09\u304c\u5fc5\u8981\u3067\u3059\u3002\u4e0b\u8a18\u3088\u308a\u3054\u767b\u9332\u3092\u304a\u9858\u3044\u81f4\u3057\u307e\u3059\u3002
\nhttps:\/\/www.sice.jp\/siceac\/sice2021\/02.html<\/a><\/span><\/p>\n

\u25a0Organizer:<\/strong>
\nTaketoshi Kawabe (Kyusyu University, SICE-JSAE Automotive Control and Modeling)
\nYoshihiro Mizoguchi (Kyusyu University, AIMaP)
\nCo-organizer\uff1a<\/strong>
\nJunichi Kako (Toyota Motor Cooperation)
\nMasakazu Mukai (Kogakuin University)
\nYuji Yasui (Honda R&D Co., Ltd.)<\/p>\n

\u25a0Background<\/strong>
\nThe automotive industry is currently undergoing a once in a century transformation aimed at reducing traffic accidents, realizing carbon neutral society and providing new values of movement. Because the automotive technologies have to be significantly evolved in order to meet new requirements such as carbon neutral, CASE, etc., the expectation for AI (artificial intelligence), machine learning, advanced control, optimization and mathematics has been increased year by year. Consequently, SICE-JSAE Automotive Control and Modeling Technical Committee established by SICE (The Society of Instrument and Control Engineer) and JSAE (Society of Automotive Engineers of Japan, Inc.) has conducted various activities with AIMaP (Advanced Innovation powered by Mathematics Platform). In this special session, the collaboration of latest automotive technology and mathematics will be introduced and discussed<\/p>\n

\u25a0\u30d7\u30ed\u30b0\u30e9\u30e0<\/strong><\/p>\n

\u25b6SICE-JSAE-AIMaP Advanced Automotive Control and Mathematics I <\/strong>
\nChair: Taketoshi Kawabe<\/strong> (Kyusyu University)<\/p>\n

14:15-14:45 (30min)\u3000\u201cEfficient lightweight solvers for real-time embedded nonlinear MPC\u201d
\n\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000 Andreas Themelis<\/strong> (Kyusyu University)
\n14:45-15:15 (30min)\u3000\u201cApplication of energy optimal control to hybrid electric vehicle\u201d
\n\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000 Hiroshi Uchida<\/strong> (Fukuyama University)
\n15:15-15:45 (30min)\u3000\u201cResearch of the optimization methodology for advanced powertrain control\u201d
\n\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000 Masato Hayasaka<\/strong> (Toyota Motor Corporation)<\/p>\n

\u25b6SICE-JSAE-AIMaP Advanced Automotive Control and Mathematics II<\/strong>
\nChair: Yoshihiro Mizoguchi<\/strong> (Kyusyu University)
\n16:00-16:30 (30min)\u3000\u201cExpectations for mathematical science researchers in the field of autonomous driving technology\u201d
\n\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000 Ichiro Hagiwara<\/strong> (Meiji University)
\n16:30-17:00 (30min)\u3000\u201cTopological methods for causal inference from time-series data\u201d
\n\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000 Shizuo Kaji<\/strong> (Kyusyu University)
\n17:00-17:30 (30min) \u201cAutomated driving and driving assistance systems using cooperative intelligence\u201d
\n\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000 Yuji Yasui<\/strong> (Honda R&D Co., Ltd.)<\/p>\n

\u25a0\u4f01\u753b\u756a\u53f7\uff1a2021K002<\/p>\n

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\u30a2\u30f3\u30b1\u30fc\u30c8\u306f\u3053\u3061\u3089<\/a>\u00a0<\/p>\n

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