Zobrazeno 1 - 10
of 529
pro vyhledávání: '"KENJI KASHIMA"'
Autor:
Kaito Ito, Kenji Kashima
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 15, Iss 2, Pp 119-129 (2022)
Kullback–Leibler (KL) control enables efficient numerical methods for nonlinear optimal control problems. The crucial assumption of KL control is the full controllability of transition distributions. However, this assumption is often violated when
Externí odkaz:
https://doaj.org/article/8e07d14ebb79453eb1b66b39b9c42eb7
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 14, Iss 1, Pp 67-77 (2021)
Extreme outliers of wind power fluctuation are a source of severe damage to power systems. In our previous work, we proposed a modelling framework, verified its usefulness via real data, and developed a model-based evaluation method of the impact of
Externí odkaz:
https://doaj.org/article/e8a383081cc04651a995b2501d0f6954
Autor:
Takuya Ikeda, Kenji Kashima
Publikováno v:
IEEE Transactions on Control of Network Systems. 9:1166-1177
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21a334cde0649a1d52a7f3ea6ccfc3aa
https://doi.org/10.1109/tcns.2022.3154666
https://doi.org/10.1109/tcns.2022.3154666
Supplementary Figures from CH7233163 Overcomes Osimertinib-Resistant EGFR-Del19/T790M/C797S Mutation
Autor:
Hiroshi Sakamoto, Takuya Torizawa, Takashi Chiba, Yukako Tachibana, Hiromi Tanimura, Hiroki Kawauchi, Kenji Kashima
Supplementary Figures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c290d31f7cec5ea49cd277310928065
https://doi.org/10.1158/1535-7163.22521345.v1
https://doi.org/10.1158/1535-7163.22521345.v1
Autor:
Hiroshi Sakamoto, Takuya Torizawa, Takashi Chiba, Yukako Tachibana, Hiromi Tanimura, Hiroki Kawauchi, Kenji Kashima
Supplementary Tables
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44bea9835a8da73e3c0b1d1571554ff5
https://doi.org/10.1158/1535-7163.22521342
https://doi.org/10.1158/1535-7163.22521342
Publikováno v:
IEEE Control Systems Letters. 6:397-402
This paper aims to improve the reliability of optimal control using models constructed by machine learning methods. Optimal control problems based on such models are generally non-convex and difficult to solve online. In this paper, we propose a mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec436fa6bcb923b3e53b13517066fbfd
https://doi.org/10.1109/lcsys.2021.3077201
https://doi.org/10.1109/lcsys.2021.3077201
Autor:
Yu Kawano, Kenji Kashima
Contraction theory formulates the analysis of nonlinear systems in terms of Jacobian matrices. Although this provides the potential to develop a linear matrix inequality (LMI) framework for nonlinear control design, conditions are imposed not on cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::708eadafc289ba6c2e554e4ff5175fb0
http://arxiv.org/abs/2301.08398
http://arxiv.org/abs/2301.08398
Autor:
Hirofumi Mikami, Shu Feng, Sotaro Naoi, Yumiko Azuma, Yoko Kayukawa, Toshiaki Tsunenari, Kentaro Asanuma, Ryutaro Iwabuchi, Hiroaki Nagano, Junko Shinozuka, Masaki Yamazaki, Haruka Kuroi, Siok Wan Gan, Priyanka Chichili, Shun Shimizu, Yutaka Matsuda, Shinya Ishii, Shogo Kamikawaji, Yasuko Kinoshita, Yuichiro Shimizu, Akihisa Sakamoto, Masaru Muraoka, Noriyuki Takahashi, Tatsuya Kawa, Hirotake Shiraiwa, Kenji Kashima, Futa Mimoto, Mika Kamata-Sakurai, Takehisa Kitazawa, Tomoyuki Igawa
Publikováno v:
Cancer Research. 83:1872-1872
Background: Despite the approval of immune checkpoint inhibitors (ICIs), prognosis of small cell lung cancer (SCLC) remains poor. DLL3 is upregulated in SCLC whereas expression in normal tissues is minimal, representing the favorable profile as a the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c0c68b67d733ab8d82bbf9447ff8d0a
https://doi.org/10.1158/1538-7445.am2023-1872
https://doi.org/10.1158/1538-7445.am2023-1872
Publikováno v:
2022 61st Annual Conference of the Society of Instrument and Control Engineers (SICE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ae9041033722a2fa04a61958586e344
https://doi.org/10.23919/sice56594.2022.9905848
https://doi.org/10.23919/sice56594.2022.9905848
Publikováno v:
SICE Journal of Control, Measurement, and System Integration. 14(1):67-77
Extreme outliers of wind power fluctuation are a source of severe damage to power systems. In our previous work, we proposed a modelling framework, verified its usefulness via real data, and developed a model-based evaluation method of the impact of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53e18652bb1501503b2ec67d46352c61
http://hdl.handle.net/2433/263838
http://hdl.handle.net/2433/263838