| Diesel engine air path control based on neural approximation of nonlinear MPC R Moriyasu, S Nojiri, A Matsunaga, T Nakamura, T Jimbo Control engineering practice 91, 104114, 2019 | 35 | 2019 |
| Real-time mpc design based on machine learning for a diesel engine air path system R Moriyasu, M Ueda, T Ikeda, M Nagaoka, T Jimbo, A Matsunaga, ... IFAC-PapersOnLine 51 (31), 542-548, 2018 | 16 | 2018 |
| Structured Hammerstein-Wiener model learning for model predictive control R Moriyasu, T Ikeda, S Kawaguchi, K Kashima IEEE Control Systems Letters 6, 397-402, 2021 | 12 | 2021 |
| Machine Learning Based Real-time MPC Design for a Diesel Engine Air Path System R Moriyasu, M Ueda, T Ikeda, M Nagaoka, T Jimbo, A Matsunaga, ... Transactions of the Society of Instrument and Control Engineers 55 (3), 172-180, 2019 | 8* | 2019 |
| Machine Learning Based Virtual Design Process for Optimal Control of Combustion Engine R Moriyasu, M Ueda, M Nagaoka, T Ikeda, K Nishikawa, S Nojiri, T Jimbo, ... Transactions of Society of Automotive Engineers of Japan 49 (6), 2018 | 4* | 2018 |
| Relevance between the Bulk Density and Li+-Ion Conductivity in a Porous Electrolyte: The Case of Li[Li1/3Ti5/3]O4 K Mukai, N Nunotani, R Moriyasu ACS Applied Materials & Interfaces 7 (36), 20314-20321, 2015 | 4 | 2015 |
| Internal combustion engine R Moriyasu, K Inagaki, M Ueda, M Nagaoka, T Ikeda US Patent App. 15/921,960, 2018 | 2 | 2018 |
| Bending and Torsional Deformation Analysis of a Twisted Wire 森安竜大， 若松栄史， 森永英二， 荒井栄司， 島田茂樹， 眞鍋賢 日本ロボット学会誌 30 (8), 813-821, 2012 | 2* | 2012 |
| Learning Exactly Linearizable Deep Dynamics Models R Moriyasu, M Kusunoki, K Kashima arXiv preprint arXiv:2311.18261, 2023 | 1 | 2023 |
| Model learning apparatus, control apparatus, model learning method and computer program R Moriyasu, T Ikeda, M Takeuchi US Patent App. 17/499,546, 2022 | 1 | 2022 |
| Continuation Model Predictive Control Based on a Regularized and Smoothed Fischer-Burmeister Method T Ikeda, R Moriyasu, S Kawaguchi Transactions of the Society of Instrument and Control Engineers 58 (3), 159-167, 2022 | 1* | 2022 |
| 軌道の位相的性質を保証する非線形動的システム学習 森安竜大， 橋本俊哉， 日下部信一， 加嶋健司 日本ロボット学会誌 39 (3), 259-262, 2021 | 1 | 2021 |
| Sampled-Data Primal-Dual Gradient Dynamics in Model Predictive Control R Moriyasu, S Kawaguchi, K Kashima arXiv preprint arXiv:2401.05100, 2024 | | 2024 |
| Differentiable Sparse Optimal Control R Shima, R Moriyasu, K Kashima IEEE Control Systems Letters, 2023 | | 2023 |
| 機械学習モデルに基づくモデル予測制御の諸課題と対策: エンジン吸排気系を対象とした事例紹介 森安竜大 計測と制御 62 (3), 150-154, 2023 | | 2023 |
| Model learning apparatus, control apparatus, model learning method and computer program R Moriyasu, T Ikeda, M Takeuchi US Patent App. 17/683,981, 2022 | | 2022 |
| スパース最適制御問題をモデルとする模倣学習 島遼太朗， 森安竜大， 川口翔， 加嶋健司 自動制御連合講演会講演論文集 第 65 回自動制御連合講演会, 92-99, 2022 | | 2022 |
| 入力に依存する状態制約の学習とモデル予測制御 阪口雄亮， 森安竜大， 楠昌幸， 加嶋健司 自動制御連合講演会講演論文集 第 64 回自動制御連合講演会, 385-387, 2021 | | 2021 |
| 株式会社豊田中央研究所 機械一部 パワトレ制御研究室―パワートレーンの開発プロセス革新を目指して 森安竜大， 稲垣和久 システム/制御/情報 63 (9), 397-398, 2019 | | 2019 |
| 水深積分型モデルを用いたトポロジー最適化による狭あい流路設計 森安竜大， 松森唯益， 永岡真 日本機械学会論文集 83 (854), 17-00144-17-00144, 2017 | | 2017 |
