{"id":664,"date":"2020-03-09T15:35:15","date_gmt":"2020-03-09T06:35:15","guid":{"rendered":"https:\/\/www.flight.t.u-tokyo.ac.jp\/?page_id=664"},"modified":"2026-03-04T19:32:43","modified_gmt":"2026-03-04T10:32:43","slug":"%e7%99%ba%e8%a1%a8%e8%ab%96%e6%96%87","status":"publish","type":"page","link":"https:\/\/www.flight.t.u-tokyo.ac.jp\/?page_id=664","title":{"rendered":"\u767a\u8868\u8ad6\u6587"},"content":{"rendered":"<p><strong>2025\u5e74\u5ea6<\/strong><\/p>\n<p><span data-sheets-root=\"1\">Yoshioka, K., Morita, N., and Tsuchiya, T.: Stall Recovery Method with Optimal Control for T-tail Transport Aircraft and Evaluation in Monte Carlo Simulation, AIAA SCITECH 2026 Forum, 2026.<\/span><\/p>\n<p><span data-sheets-root=\"1\">\u5409\u5ca1\u822a\u5e0c, \u68ee\u7530\u76f4\u4eba, \u571f\u5c4b\u6b66\u53f8: T \u5b57\u5c3e\u7ffc\u65c5\u5ba2\u6a5f\u306e Deep Stall \u3092\u4f34\u3046\u5b9a\u5e38\u89e3\u306e\u89e3\u6790\u3068\u6700\u9069\u56de\u5fa9\u5236\u5fa1, \u65e5\u672c\u822a\u7a7a\u5b87\u5b99\u5b66\u4f1a\u8ad6\u6587\u96c6, 73 \u5dfb, 6 \u53f7, pp.249-259, 2025.<\/span><\/p>\n<p><span data-sheets-root=\"1\">\u5c0f\u5cf6\u907c\u5e73, \u571f\u5c4b\u6b66\u53f8: \u9589\u30eb\u30fc\u30d7\u898f\u7bc4\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u5358\u7d14\u9069\u5fdc\u5236\u5fa1\u306b\u3088\u308b\u8010\u6545\u969c\u98db\u884c\u5236\u5fa1, \u7b2c63\u56de\u98db\u884c\u6a5f\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0, 2025.<\/span><\/p>\n<p><span data-sheets-root=\"1\">\u5409\u5ca1\u822a\u5e0c, \u68ee\u7530\u76f4\u4eba, \u571f\u5c4b\u6b66\u53f8: T \u5b57\u5c3e\u7ffc\u3092\u6709\u3059\u308b\u65c5\u5ba2\u6a5f\u306b\u304a\u3051\u308b\u5931\u901f\u5f8c\u6319\u52d5\u306e\u5206\u5c90\u89e3\u6790\u3068\u6700\u9069\u5236\u5fa1\u306b\u3088\u308b Upset Recovery, \u65e5\u672c\u822a\u7a7a\u5b87\u5b99\u5b66\u4f1a\u7b2c56\u671f\u5e74\u4f1a\u8b1b\u6f14\u4f1a, 2025.<\/span><\/p>\n<p><strong>2024\u5e74\u5ea6<\/strong><\/p>\n<p><span data-sheets-root=\"1\">\u5185\u5c71 \u6d0b\u8f1d, \u677f\u6771 \u5e79\u96c4, \u571f\u5c4b \u6b66\u53f8: \u30c9\u30ed\u30fc\u30f3\u7269\u6d41\u306e\u305f\u3081\u306e\u6539\u826f\u578b A \u30b9\u30bf\u30fc\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7528\u3044\u305f\u9577\u8ddd\u96e2\u7d4c\u8def\u8a08\u753b, TRANSLOG 2024, 2024.<\/span><\/p>\n<p><span data-sheets-root=\"1\">Uchiyama, H., and Tsuchiya, T.: Long-distance path planning using improved A-Star algorithm for drone logistics, APISAT 2024, 2024.<\/span><\/p>\n<p><span data-sheets-root=\"1\">Hayashi, Y., Kim, J., and Tsuchiya, T.: In-Flight Measurement of Wing Surface Pressure Distribution on a Fixed-Wing UAV and its Application to Flight Control, ICAS 2024, 2024.<\/span><\/p>\n<p><span data-sheets-root=\"1\">\u9234\u6728\u6d77\u6597, \u68ee\u7530\u76f4\u4eba, \u571f\u5c4b\u6b66\u53f8: \u9006\u5f37\u5316\u5b66\u7fd2\u3092\u7528\u3044\u305f\u822a\u7a7a\u6a5f\u306e\u30d1\u30a4\u30ed\u30c3\u30c8\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9, \u65e5\u672c\u822a\u7a7a\u5b87\u5b99\u5b66\u4f1a\u8ad6\u6587\u96c6, 72\u5dfb, 4\u53f7, p.140-148, 2024.<\/span><\/p>\n<p><strong>2023\u5e74\u5ea6<\/strong><\/p>\n<p><span data-sheets-root=\"1\">Suzuki, K., Uemura, T., Tsuchiya, T., Beppu, H., Hazui, Y., and Ono, H.: Learning Aircraft Pilot skills by Adversarial Inverse Reinforcement Learning, APISAT 2023, 2023.<\/span><\/p>\n<p><span data-sheets-root=\"1\">Taguchi, Y., Morita, N., and Tsuchiya, T.: Robust controller design based on feedback linearization for UAV, APISAT 2023, 2023.<\/span><\/p>\n<p><span data-sheets-root=\"1\">Kawasaki, Y., and Tsuchiya, T.: Hardware-In-the-Loop Simulation Environment with a Robotic Arm for Multicopter Performance Evaluation, APISAT 2023, 2023.<\/span><\/p>\n<p><strong>2022\u5e74\u5ea6<\/strong><\/p>\n<p>Kim, J. and Tsuchiya, T.: User-Friendly UAV Design Optimization Tool and Its Validation via Simulation and Test Flight, The 2022 Asia-Pacific International Symposium on Aerospace Technology, 2022.<\/p>\n<p>Shen, Z. and Tsuchiya, T.: Gait Analysis for a Tiltrotor: The Dynamic Invertible Gait, Robotics, Vol. 11, No. 2, 33, 2022.<\/p>\n<p>Morita, N., Uchiyama, H., Tsuchiya, T., and Nakasuka, S.: HIL Simulation and Comparison of Attitude Estimation on Multi-Canard Flexible Aircraft, The 2022 Asia-Pacific International Symposium on Aerospace Technology, 2022.<\/p>\n<p>Park, K. and Tsuchiya, T.: 3D Scene Description by Pretrained Features and ICP based Odometry, Proceedings of the SPIE &#8211; the International Society for Optical Engineering, Volume 12098, id. 120980H 8 pp., 2022.<\/p>\n<p>Shen, Z. and Tsuchiya, T.: Cat-Inspired Gaits for a Tilt-Rotor-From Symmetrical to Asymmetrical, Robotics, Vol. 11, No. 3, 60, 2022.<\/p>\n<p>Shen, Z., Ma, Y., and Tsuchiya, T.: Quad-cone-rotor: A Novel Tilt Quadrotor with Severe-fault-tolerant Ability, Proc. SPIE 12124, Unmanned Systems Technology XXIV, 1212403, 2022.<\/p>\n<p>Shen, Z. and Tsuchiya, T.: State Drift and Gait Plan in Feedback Linearization Control of a Tilt Vehicle, 8th International Conference on Control, Modeling and Computing (CMC 2022), Artificial Intelligence and Applications, Vol. 12, No. 05, 2022.<\/p>\n<p>Staub, F., Tsuchiya, T., Premeaux, E., Tsukada, D., Inoue, S., and Raabe, C. T.: Additional Wind Tunnel Testing of a Lift-Augmented Quadcopter, AIAA SciTech Forum 2022, AIAA 2022-2479, 2022.<\/p>\n<p>Shen, Z. and Tsuchiya, T.: The Robust Gait of a Tilt-rotor and Its Application to Tracking Control &#8211; Application of Two Color Map Theorem, 2022 22nd International Conference on Control, Automation and Systems, pp. 858-862, 2022.<\/p>\n<p>Kim, J. and Tsuchiya, T.: OpenVSP Based Aerodynamic Design Optimization Tool Building Method and Its Application to Tailless UAV, 33th Congress of the International Council of the Aeronautical Sciences, ICAS2022_0858, 2022.<\/p>\n<p>Taguchi, Y., Morita, H., Tsuchiya, T., Imamura, S., and Taguchi, H.: Navigation, Guidance and Control for a Rocket-Launched Hypersonic Experimental Aircraft, The 2022 Asia-Pacific International Symposium on Aerospace Technology, 2022.<\/p>\n<p>Shen, Z. and Tsuchiya, T.: The Pareto-Frontier-Based Stiffness of a Controller: Trade-off Between Trajectory Plan and Controller Design, Intelligent Computing, Proceedings of the 2022 Computing Conference. Lecture Notes in Networks and Systems, pp. 825-844, 2022.<\/p>\n<p>Takase, R., Yoshikawa, N., and Tsuchiya, T.: Estimating Bounded Uncertain Model for Stability-Certified Reinforcement Learning, 2022 61st Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2022, pp. 481-487, 2022.<\/p>\n<p>\u571f\u5c4b\u6b66\u53f8: \u7523\u696d\u754c\u306b\u304a\u3051\u308b\u30c9\u30ed\u30fc\u30f3\u3092\u7528\u3044\u305f\u9060\u9694\u8a08\u6e2c, \u5149\u30a2\u30e9\u30a4\u30a2\u30f3\u30b9, Vol. 33, No. 1, pp. 1-4, 2022.<\/p>\n<p>Morita, N., Nakasuka, S., Tsuchiya,T., Takashima, K., Taguchi, Y., Suzuki, K., Koyama, T., Eto, and R., Baba, I.: Development of Multi-Canard UAV for Active Aeroelastic Control Toward Pseudo-small Satellites, 33th Congress of the International Council of the Aeronautical Sciences, ICAS2022_0448, 2022.<\/p>\n<p>Staub, F. M. and Tsuchiya, T.: Design and Wind Tunnel Testing of a General Aviation Blended Wing Body Aircraft, 33th Congress of the International Council of the Aeronautical Sciences, ICAS2022_0269, 2022.<\/p>\n<p>Shen, Z., Ma, Y., and Tsuchiya, T.: Generalized Two Color Map Theorem &#8211; Complete Theorem of Robust Gait Plan for a Tilt-rotor, arXiv, 2022.<\/p>\n<p>Shen, Z., Ma, Y., and Tsuchiya, T.: Four-Dimensional Gait Surfaces for a Tilt-Rotor-Two Color Map Theorem, Drones, Vol. 6, No. 5, 103, 2022.<\/p>\n<p>Park, K. and Tsuchiya, T.: The Indoor Environment 3D Description by Machine Learning with ICP Odometry, The 2022 Asia-Pacific International Symposium on Aerospace Technology, 2022.<br \/>\nShen, Z. and Tsuchiya, T.: Singular Zone in Quadrotor Yaw-Position Feedback Linearization, Drones, Vol. 6, No. 4, 84, 2022.<\/p>\n<p>Morita, N., Nakasuka, S., and Tsuchiya, T.: Flight Test and Simulation of Active Aeroelastic Control Technology Demonstrator for Realization of Small Pseudo-Satellite, The 33rd International Symposium on Space Technology and Science, 2022.<\/p>\n<p>\u4eca\u6751\u4fca\u4ecb, \u7530\u53e3\u79c0\u4e4b, \u571f\u5c4b\u6b66\u53f8, \u68ee\u7530\u76f4\u4eba, \u4f50\u85e4\u54f2\u4e5f: HIMICO\u306e\u57fa\u6e96\u8ecc\u9053\u3068\u98db\u884c\u5b89\u5168\u7cfb\u306e\u691c\u8a0e, \u7b2c4\u56de\u89b3\u6e2c\u30ed\u30b1\u30c3\u30c8\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0, 2022.<\/p>\n<p>Takase, R., Yoshikawa, N., Mariyama, T., and Tsuchiya, T.: Stability-Certified Reinforcement Learning via Spectral Normalization, Machine Learning with Applications, Vol. 10, 2022.<\/p>\n<p>Yamaguchi, R. and Tsuchiya, T.: Effects of Field of View on Visual Cues Perception during Landing, The 2022 Asia-Pacific International Symposium on Aerospace Technology, 2022.<\/p>\n<p>Osaka, A, Uchiyama,H., Morita, N., Tsuchiya, T., and Nakasuka, S.: Structural and Control Design of Multi-Canard Flexible Aircraft for Realization of the HAPS, The 2022 Asia-Pacific International Symposium on Aerospace Technology, 2022.<\/p>\n<p>Taguchi, H., Sato, T., Tsue, M., Tsuchiya, T., Matsuo, A., Tezuka, A., Nakaya, S., Fujikawa, T., Morita, N., Hirotani, T., Imamura, S., Takahashi, H., and Oki, J.: Mach 5 Flight Experiment Plan of High-Mach Integrated Control Experimental Aircraft (HIMICO), The 33rd International Symposium on Space Technology and Science, 2022.<\/p>\n<p>\u4f50\u85e4\u54f2\u4e5f, \u7530\u53e3\u79c0\u4e4b, \u6d25\u6c5f\u5149\u6d0b, \u4e2d\u8c37\u8fb0\u723e, \u571f\u5c4b\u6b66\u53f8, \u68ee\u7530\u76f4\u4eba, \u677e\u5c3e\u4e9c\u7d00\u5b50, \u624b\u585a\u4e9c\u8056, \u4eca\u6751\u4fca\u4ecb, \u9ad8\u6a4b\u82f1\u7f8e, \u5ee3\u8c37\u667a\u6210, \u5927\u6728\u7d14\u4e00, \u5897\u7530\u548c\u4e09: \u89b3\u6e2c\u30ed\u30b1\u30c3\u30c8\u3092\u7528\u3044\u305f\u6975\u8d85\u97f3\u901f\u7d71\u5408\u5b9f\u9a13\u6a5fHIMICO\u306e\u958b\u767a\u72b6\u6cc1, \u7b2c61\u56de\u822a\u7a7a\u539f\u52d5\u6a5f\u30fb\u5b87\u5b99\u63a8\u9032\u8b1b\u6f14\u4f1a, 2022.<\/p>\n<p>\u4f50\u85e4\u54f2\u4e5f, \u7530\u53e3\u79c0\u4e4b, \u6d25\u6c5f\u5149\u6d0b, \u571f\u5c4b\u6b66\u53f8, \u677e\u5c3e\u4e9c\u7d00\u5b50, \u85e4\u5ddd\u8cb4\u5f18, \u9234\u6728\u5b8f\u4e8c\u90ce, \u4e2d\u8c37\u8fb0\u723e, \u6e21\u9089\u4fdd\u771f, \u68ee\u7530\u76f4\u4eba, \u624b\u585a\u4e9c\u8056, \u77f3\u6751\u5eb7\u751f, \u5bae\u8def\u5e78\u4e8c, \u5897\u7530\u548c\u4e09, \u5ee3\u8c37\u667a\u6210, \u9ad8\u6a4b\u82f1\u7f8e, \u4eca\u6751\u4fca\u4ecb, \u5927\u6728\u7d14\u4e00, \u897f\u7530\u4fca\u4ecb, \u672c\u90f7\u7d20\u884c, \u5c0f\u5cf6\u5b5d\u4e4b: \u6975\u8d85\u97f3\u901f\u7d71\u5408\u5236\u5fa1\u5b9f\u9a13\uff08HIMICO\uff09\u306e\u8a08\u753b\u6982\u8981, \u7b2c4\u56de\u89b3\u6e2c\u30ed\u30b1\u30c3\u30c8\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0, 2022.<\/p>\n<p>Shen, Z., Ma, Y., and Tsuchiya, T.: Feedback Linearization-based Tracking Control of a Tilt-rotor with Cat-trot Gait Plan, International Journal of Advanced Robotic Systems, Vol. 19, No. 4, 2022.<\/p>\n<p>\u7530\u53e3\u5eb7\u4e4b\u3001\u68ee\u7530\u76f4\u4eba\u3001\u571f\u5c4b\u6b66\u53f8\u3001\u6975\u8d85\u97f3\u901f\u6a5f\u306e\u7a7a\u529b\u30e2\u30c7\u30eb\u69cb\u7bc9\u624b\u6cd5\u306e\u691c\u8a0e\u3001\u65e5\u672c\u822a\u7a7a\u5b87\u5b99\u5b66\u4f1a\u5317\u90e8\u652f\u90e82023\u5e74\u8b1b\u6f14\u4f1a<\/p>\n<p><strong>2021\u5e74\u5ea6<\/strong><\/p>\n<p>Eri Itoh, Mihaela Mitici, Michael Schultz, \u201cModeling Aircraft Departure at a Runway using a Time-varying Fluid Queue\u201d, Aerospace 9(3) 119, 2022.<\/p>\n<p>Michael Schultz, Daniel Lubig, Ehsan Asadi, Judith Rosenow, Eri Itoh, Srinivas Athota, Vu N. Duong \u201cImplementation of a Long-Range Air Traffic Flow Management for the Asia-Pacific Region,\u201d IEEE Access, vol. 9, pp. 124640-124659, 2021.<\/p>\n<p>Katsuhiro Sekine,Tomoaki Tatsukawa, Eri Itoh, Kozo Fujii, \u201cMulti-objective takeoff time optimization using cellular automaton-based simulator\u201d, IEEE Access,9 79461-79476 2021.<\/p>\n<p>Katsuhiro Sekine,Tomoaki Tatsukawa, Eri Itoh, Kozo Fujii, \u201cData-driven Simulation for Evaluating the Impact of Lower Arrival Aircraft Separation on Available Runway and Airspace Capacity,\u201d Aerospace 8(6) 165, 2021.<\/p>\n<p>Eri Itoh, Takuya Otsuyama\uff0c\u201d Proposals for IM section in the PANS-OPS\u201d, ad-hoc AIRBWG meeting, ICAO, 2021.<\/p>\n<p>\u7acb\u5ddd \u667a\u7ae0\uff0c\u95a2\u6839 \u5c07\u5f18\uff0c\u85e4\u4e95 \u5b5d\u85cf\uff0c\u4f0a\u85e4 \u6075\u7406\uff0c\u90fd\u7bc9 \u601c\u7406, \u67f3\u6fa4 \u5927\u5730, \u897f\u6210 \u6d3b\u88d5, \u5b89\u798f \u5065,\u201c\u5168\u4f53\u6700\u9069\u306e\u305f\u3081\u306e\u65b0\u305f\u306a\u822a\u7a7a\u4ea4\u901a\u30e2\u30c7\u30eb\u306e\u958b\u767a\u201d\uff0c\u8a08\u7b97\u5de5\u5b66 26(3), 2021.<\/p>\n<p>Eri Itoh, Furuto Kato, Koki Higasa, Michael Schultz, \u201cDesigning Aircraft Traffic Floes Using Data-Driven Queueing Models, Proc. ICAS 2021, 2021.<\/p>\n<p>\u95a2\u6839\u5c07\u5f18\uff0c\u7acb\u5ddd\u667a\u7ae0\uff0c\u85e4\u4e95\u5b5d\u85cf\uff0c\u4f0a\u85e4\u6075\u7406\u201c\u30bb\u30eb\u30aa\u30fc\u30c8\u30de\u30c8\u30f3\u3092\u7528\u3044\u305f\u822a\u7a7a\u4ea4\u901a\u6d41\u306e\u591a\u76ee\u7684\u5de1\u822a\u901f\u5ea6\u6700\u9069\u5316\u201d\uff0c\u7b2c20\u56de\u9032\u5316\u8a08\u7b97\u5b66\u4f1a\u7814\u7a76\u4f1a\u8b1b\u6f14\u96c6\uff0c2021.<\/p>\n<p>\u65e5\u7b20\u822a\u5e0c\uff0c\u4f0a\u85e4\u6075\u7406\uff0c\u201cGt\/GI\/st+GI \u5f85\u3061\u884c\u5217\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u822a\u7a7a\u6a5f\u306e\u5230\u7740\u4ea4\u901a\u6d41\u306e\u5206\u6790\u304a\u3088\u3073\u5236\u5fa1\u201c\uff0c\u7b2c59\u56de\u98db\u884c\u6a5f\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u8b1b\u6f14\u96c6\uff0c2021\uff0e<\/p>\n<p>\u68ee\u5ddd\u66a2\u660e\uff0c\u4f0a\u85e4\u6075\u7406\uff0c\u77e2\u5165\u5065\u4e45\uff0c\u201c\u822a\u7a7a\u6a5f\u306e\u5230\u7740\u6642\u523b\u4e88\u6e2c\u306b\u9069\u3057\u305f\u6a5f\u68b0\u5b66\u7fd2\u624b\u6cd5\u306e\u691c\u8a0e\u201d\uff0c\u7b2c59\u56de\u98db\u884c\u6a5f\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u8b1b\u6f14\u96c6\uff0c2021\uff0e<\/p>\n<p>\u52a0\u85e4\u53e4\u90fd\uff0c\u4f0a\u85e4\u6075\u7406\uff0c\u852d\u5c71\u5eb7\u592a\uff0c\u4f0a\u85e4\u6075\u7406\uff0c\u201c\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u822a\u7a7a\u6a5f\u306e\u5730\u4e0a\u8d70\u884c\u6642\u9593\u4e88\u6e2c\u306e\u691c\u8a0e\u201d\uff0c\u7b2c59\u56de\u98db\u884c\u6a5f\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u8b1b\u6f14\u96c62021\uff0e<\/p>\n<p>\u95a2\u6839\u5c07\u5f18\uff0c\u7acb\u5ddd\u667a\u7ae0\uff0c\u852d\u5c71\u5eb7\u592a\uff0c\u4f0a\u85e4\u6075\u7406\uff0c\u201c\u6771\u4eac\u56fd\u969b\u7a7a\u6e2f\u306e\u5230\u7740\u6a5f\u3092\u5bfe\u8c61\u3068\u3057\u305f\u6ed1\u8d70\u8def\u5272\u308a\u632f\u308a\u306e\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u8a55\u4fa1\u201c\uff0c\u7b2c59\u56de\u98db\u884c\u6a5f\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u8b1b\u6f14\u96c6\uff0c2021\uff0e<\/p>\n<p>\u52a0\u5730\u4fe1\u4e00\u6717\uff0c\u9ad8\u6a4b\u6b63\u6a39\uff0c\u4f0a\u85e4\u6075\u7406\uff0c\u201c\u30a8\u30f3\u30eb\u30fc\u30c8\u7a7a\u57df\u306b\u304a\u3051\u308bFIM\u901f\u5ea6\u5236\u5fa1\u306b\u3088\u308b\u5230\u7740\u6642\u9593\u9593\u9694\u306e\u8abf\u6574\u201c\uff0c\u7b2c59\u56de\u98db\u884c\u6a5f\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u8b1b\u6f14\u96c6\uff0c2021\uff0e<\/p>\n<p>Eri Itoh, Katsuhiro Sekine, Furuto Kato, Kota Kageyama, \u201cIntegrated Arrival, Departure, and Surface Traffic Simulation at Tokyo International Airport\u201d, AirTOP User Conference, 2021.<\/p>\n<p>Katsuhiro Sekine, Tomoaki Tatsukawa and Kozo Fujii, \u201cPreliminary Study of Multi-objective Air Traffic Optimization for Devising Speed Control Strategy by Using Rule-based Simulator\u201d, Proceedings of AIAA Aviation Forum, 2022.<\/p>\n<p>\u95a2\u6839\u5c07\u5f18\uff0c\u7acb\u5ddd\u667a\u7ae0\uff0c\u85e4\u4e95\u5b5d\u85cf\uff0c\u4f0a\u85e4\u6075\u7406\uff0c\u201c\u591a\u76ee\u7684\u6700\u9069\u5316\u3068\u6c7a\u5b9a\u6728\u3092\u7528\u3044\u305f\u30a8\u30f3 \u30eb\u30fc\u30c8\u4ea4\u901a\u6d41\u306b\u304a\u3051\u308b\u901f\u5ea6\u5236\u5fa1\u6226\u7565\u306e\u62bd\u51fa\u201d\uff0c\u9032\u5316\u8a08\u7b97\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u8b1b\u6f14\u96c6, 2021.<\/p>\n<p>\u4f0a\u85e4\u6075\u7406\uff0c\u201d \u822a\u7a7a\u4ea4\u901a\u7ba1\u7406\u306b\u30c7\u30b8\u30bf\u30eb\u5909\u9769\u3092\u3082\u305f\u3089\u3059\u7814\u7a76\u958b\u767a\u201d\uff0c ENRI\u56fd\u969b\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7, 2022.<\/p>\n<p>\u674e\u5bb6\u8ce2\u4e00\uff0c\u4f0a\u85e4\u6075\u7406\uff0c\u201cCOVID-19 \u306e\u822a\u7a7a\u7523\u696d\u3078\u306e\u5f71\u97ff\u3068\u7dad\u6301 &#8211; \u904b\u8f38\u3001\u88fd\u9020\u3001\u7ba1\u5236\u201d\uff0c\u5b66\u8853\u306e\u52d5\u5411 3\u6708\u53f7, 2022.<\/p>\n<p>\u4f0a\u85e4\u6075\u7406\uff0c\u201c\u822a\u7a7a\u4ea4\u901a\u7ba1\u7406\u306b\u304a\u3051\u308b\u30c7\u30b8\u30bf\u30eb\u30c4\u30a4\u30f3\u201d\uff0c\u65e5\u672c\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u5b66\u4f1a\u8a8c, 40 (2), 2021.<\/p>\n<p>Takashi Komaru, Ryoichi Takase, Takeshi Tsuchiya, Yoshiro Hamada, and Takashi Shimomura : \u201cGain-Scheduled Preview Control for Aircraft Gust Alleviation Using Structured H\u221e Control Design\u201d, Asia Pacific International Symposium on Aerosapce Technology, 2021.<\/p>\n<p>\u5c0f\u4e38\u9686\u5fd7, \u201c\u69cb\u9020\u5236\u7d04\u4ed8\u304dGain-Scheduled \u5236\u5fa1\u5668\u306e\u4e8b\u5f8c\u7684\u306a\u6027\u80fd\u4fdd\u8a3c\u201d, \u7b2c59\u56de\u98db\u884c\u6a5f\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u8b1b\u6f14\u96c6\uff0c2021\uff0e<\/p>\n<p>\u5c0f\u4e38\u9686\u5fd7, \u201c\u4e8b\u524d\u98a8\u60c5\u5831\u3068\u5f3e\u6027\u632f\u52d5\u3092\u8003\u616e\u3057\u305f\u69cb\u9020\u5316H\u221e\u30fbGS\u5236\u5fa1\u306b\u3088\u308b\u67d4\u8edf\u822a\u7a7a\u6a5f\u306e\u7a81\u98a8\u8efd\u6e1b\u201d, \u4fee\u58eb\u8ad6\u6587.<\/p>\n<p><strong>2020\u5e74\u5ea6<\/strong><\/p>\n<p>Eri Itoh and Mihaela Mitici, \u201cEvaluating the Impact of New Aircraft Separation Minima n Available Airspace Capacity and Arrival Delay\u201d, The Aeronautical Journal, 124(1274), pp.447-471, April 2020.<\/p>\n<p>Timo Riedel, Masaki Takahashi, Eri Itoh, Paul Frost, and Thomas Feuerle, \u201cPilot-Centered Evaluation of Flight-Deck Interval Management Control Laws Using an A320 Simulator\u201d, Journal of Aircraft, 57(5), September 2020.<\/p>\n<p>Eri Itoh and Mihaela Mitici, \u201cAnalyzing Tactical Control Strategies for Aircraft Arrivals Using Queue-based Modeling\u201d, Journal of Air Transport Management, 89(101938), October 2020.<\/p>\n<p>\u5bae\u6ca2\u4e0e\u548c, \u4f0a\u85e4\u6075\u7406,\u201c<wbr \/>\u78ba\u7387\u30e2\u30c7\u30eb\u306b\u3088\u308b\u5230\u7740\u4ea4\u901a\u6d41\u306e\u5236\u5fa1\u6027\u80fd\u306e\u89e3\u6790\u3068\u4e88\u6e2c\u201d\uff0c<wbr \/>\u822a\u7a7a\u5b87\u5b99\u5b66\u4f1a\u8ad6\u6587\u96c6, 68\u5dfb6\u53f7, pp. 213-222, 2020.<\/p>\n<p>Eri Itoh, Yoshikazu Miyazawa, Michael Finke, and Juergen Rataj, \u201cMacroscopic Analysis to Identify Stage Boundaries in Multi-Stage Arrival Management\u201d, Air Traffic Management and Systems IV, Springer nature, 2021.<\/p>\n<p>Michael Schultz, Daniel Lubig, Judith Rosenow, Eri Itoh, Srinivas Athota, VuDuong, \u201cConcept of a Long-Range Air Traffic Flow Management\u201d, SESAR Innovation Days, December 2020.<\/p>\n<p>Eri Itoh, Michael Schultz, Srinivas Athota, Vu Duong, \u201cDevising Strategies for Aircraft Arrival Processes via Distance-based Queuing Models\u201d, SESAR Innovation Days, December 2020.<\/p>\n<p>\u30a8\u30f3\u30c8\u30b8\u30f3\u30ac\u30fc\u30fb\u30e8\u30eb\u30b0 \u30aa\u30ce\uff0c\u571f\u5c4b\u6b66\u53f8\uff0c\u201d\u7814\u7a76\u7528\u30d5\u30e9\u30a4\u30c8\u30b7\u30df\u30e5\u30ec\u30fc\u30bf\u306e\u69cb\u7bc9\u53ca\u3073\u64cd\u7e26\u8a55\u4fa1\u3078\u306e\u5fdc\u7528\u4f8b(Construction of a research flight simulator and example applications for control evaluation)\u201d\uff0c\u7b2c58\u56de\u98db\u884c\u6a5f\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u8b1b\u6f14\u96c6\uff0c<wbr \/>2020\u5e7411\u6708.<\/p>\n<p>\u5bae\u6ca2\u4e0e\u548c\uff0c\u4f0a\u85e4\u6075\u7406\uff0c\u201c<wbr \/>\u6771\u4eac\u56fd\u969b\u7a7a\u6e2f\u306e\u5230\u7740\u4fbf\u304c\u4f7f\u7528\u3059\u308b\u8907\u6570\u6ed1\u8d70\u8def\u306e\u52b9\u7387\u7684\u904b\u7528\u306b\u95a2\u3059\u308b<wbr \/>\u4e00\u8003\u5bdf\u201d\uff0c\u7b2c58\u56de\u98db\u884c\u6a5f\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u8b1b\u6f14\u96c6\uff0c<wbr \/>2020\u5e7411\u6708.<\/p>\n<p>\u4f0a\u85e4\u6075\u7406\uff0c\u5bae\u6ca2\u4e0e\u548c\uff0c\u201c<wbr \/>\u6771\u4eac\u56fd\u969b\u7a7a\u6e2f\u306b\u304a\u3051\u308b\u591a\u6bb5\u968e\u5230\u7740\u7ba1\u7406\u306e\u6226\u7565\u201d\uff0c<wbr \/>\u7b2c58\u56de\u98db\u884c\u6a5f\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u8b1b\u6f14\u96c6\uff0c2020\u5e7411\u6708.<\/p>\n<p>\u4f0a\u85e4\u6075\u7406\uff0c\u201c\u7a7a\u306e\u4e16\u754c\u306e\u5f80\u6765\u306b\u3001<wbr \/>\u30c7\u30b8\u30bf\u30eb\u5909\u9769\u3092\u3082\u305f\u3089\u3059\u201d\uff0c\u5b66\u8853\u306e\u52d5\u5411\uff0c25(6), pp.90-95, 2020\u5e746\u6708.<\/p>\n<p>Eri Itoh and Takuya Otsuyama, \u201cDesigning Ground-based Interval Management (GIM) for aircraft arrival traffic at Tokyo International Airport\u201d, International Civil Aviation Organization (ICAO) Information Paper, SP-AIRB8-IP\/05, September 2020.<\/p>\n<p>Eri Itoh and Takuya Otsuyama, \u201cInternational Civil Aviation Organization ICAO, \u201cManual on Airborne Surveillance Applications\u201d, Doc 9994, Chapter 3 Interval Management, 2020.<\/p>\n<p>Eri Itoh, Michael Schultz, Srinivas Athota, and Vu Duong, \u201cGround-based Interval Management (GIM) related international collaborative research targeting arrivals at Singapore Changi International Airport\u201d International Civil Aviation Organization (ICAO) Information Paper, SP-AIRB WG\/10-IP\/01, September 2020.<\/p>\n<p><strong>2019\u5e74\u5ea6<br \/>\n<\/strong><br \/>\n\u4e0a\u6751\u5e38\u6cbb\u3001\u30a8\u30f3\u30c8\u30b8\u30f3\u30ac\u30fc\u30fb\u30e8\u30eb\u30b0 \u30aa\u30ce\u3001\u677e\u6c38\u5927\u4e00\u90ce\u3001\u571f\u5c4b\u6b66\u53f8\u3001&#8221;\u4f1d\u627f\u3055\u308c\u305f\u64cd\u7e26\u624b\u6cd5\u3092\u64cd\u7e26\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u3067\u89e3\u660e\u3057\u305f\uff1a \u30d4\u30c3\u30c1\u3068\u63a8\u529b\u306e\u76ee\u6a19\u5024\u306e\u91cd\u8981\u6027&#8221;, \u7b2c57 \u56de\u98db\u884c\u6a5f\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u8b1b\u6f14\u96c6, 2019\u5e7410\u6708.<\/p>\n<p>F.M. Staub, N. Morita, J.O. Entzinger, and T. Tsuchiya, \u201c<a href=\"https:\/\/doi.org\/10.2514\/6.2019-3172\">Aerodynamic Trade Study and Optimization of a Blended Wing Body Airliner<\/a>\u201d, AIAA Aviation 2019 Forum, Dallas, Texas, USA, June 2019.<\/p>\n<p>J.O. Entzinger, \u201c<a href=\"https:\/\/corescholar.libraries.wright.edu\/isap_2019\/3\/\">Individualized landing flare training using both flight performance and psychophysiological measures<\/a>\u201d, 20th International Symposium on Aviation Psychology (ISAP), Dayton, Ohio, USA, May 2019.<\/p>\n<p>R. Takase, K. Fujita, Y. Hamada, T. Tsuchiya, T. Shimomura, and S. Suzuki, &#8220;<a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2019.11.119\">Robust C* Control Law Design Augmented with LIDAR-Based Gust Information<\/a>,&#8221; IFAC-PapersOnLine 52, no. 12, pp. 122-127, 2019.<\/p>\n<p>R. Takase, T. Tsuchiya, H. Nakamura, and S. Suzuki, \u201cA Comparison Between Non-Adaptive and Adaptive Flight Control Systems and Addressing Potential Research Areas,\u201d 11th Asia Pacific International Symposium on Aerospace Technology, December \u00a02019.<\/p>\n<p>\u4f50\u85e4\u660c\u4e4b, \u9ad8\u702c\u8ad2\u4e00, \u9234\u6728\u771f\u4e8c, &#8220;\u30a8\u30ec\u30d8\u3099\u30fc\u30bf\u6545\u969c\u3092\u60f3\u5b9a\u3057\u305f PID \u8010\u6545\u969c\u5236\u5fa1\u306e\u30cf\u309a\u30a4\u30ed\u30c3 \u30c8\u8a55\u4fa1,&#8221; \u7b2c62\u56de\u81ea\u52d5\u5236\u5fa1\u9023\u5408\u8b1b\u6f14\u4f1a, 2019\u5e7411\u6708.<\/p>\n<p>\u9ad8\u702c\u8ad2\u4e00, \u9234\u6728\u771f\u4e8c, \u4f50\u85e4\u660c\u4e4b, &#8220;\u69cb\u9020\u5316H\u221e\u5236\u5fa1\u306b\u3088\u308b\u822a\u7a7a\u6a5f\u306e\u8010\u6545\u969cPID\u98db\u884c\u5236\u5fa1,&#8221; \u7b2c50\u671f\u65e5\u672c\u822a\u7a7a\u5b87\u5b99\u5b66\u4f1a\u5e74\u4f1a\u8b1b\u6f14\u4f1a, 2019\u5e744\u6708.<\/p>\n<p>Yuji Shimizu, Takeshi Tsuchiya, \u201cStochastic Model Predictive Control for Collision Avoidance and Landing\u201d, The Proceedings of the 2018 Asia-Pacific International Symposium on Aerospace Technology, Springer Nature Singapore Pre Ltd, 459, pp2274-2288, 2019<\/p>\n<p>Yuji Shimizu, Takeshi Tsuchiya, \u201cStochastic Optimal Control for Collision Avoidance and Landing\u201d, 21st IFAC Symposium on Automatic Control in Aerospace, August 27-30, 2019, Cranfield University, Cranfield, UK<\/p>\n<p>Yuji Shimizu, \u201cNonlinear Model Predictive Real-time Control of Aircraft in Collision Avoidance\u201d, 2020 AIAA Scitech Forum, January 6-10, 2020, Orlando, Florida, U.S.<\/p>\n<p>\u6e05\u6c34\u88d5\u4e8c\u3001\u571f\u5c4b\u6b66\u53f8\u3001\u201c\u822a\u7a7a\u6a5f\u306e\u78ba\u7387\u7684\u5236\u5fa1\u201d\u3001\u7b2c50\u671f\u65e5\u672c\u822a\u7a7a\u5b87\u5b99\u5b66\u4f1a \u5e74\u4f1a\u8b1b\u6f14\u4f1a\u3001April 18-19 2019, Tokyo, Japan<\/p>\n<p>K. Suzuki, Y. Matsuno, T. Tsuchiya, &#8220;The Impact of Wind Forecast Uncertainty on Fuel Consumption and Optimal Aircraft Trajectory&#8221;, the 11th APISAT, December 2019.<\/p>\n<p>K. Fujita, R. Takase, T. Tsuchiya, &#8220;Gust Alleviation using Preview Controller for a Flexible Aircraft Model&#8221;, the 11th APISAT, December 2019.<\/p>\n<p>Tonogaki, R. Takase, and T. Tsuchiya, \u201dPilot-in-the-Loop Simulation of a Robust C\u2217 control law,\u201d 11th Asia Pacific International Symposium on Aerospace Technology, December 2019.<\/p>\n<p>\u68ee\u7530\u76f4\u4eba,\u571f\u5c4b\u6b66\u53f8,\u300c<wbr \/>\u30a6\u30a7\u30a4\u30d6\u30e9\u30a4\u30c0\u30fc\u3092\u5fdc\u7528\u3057\u305f\u30b9\u30da\u30fc\u30b9\u30d7\u30ec\u30fc\u30f3\u306e\u6a5f\u4f53\u30fb<wbr \/>\u8ecc\u9053\u540c\u6642\u6700\u9069\u8a2d\u8a08\u300d, \u65e5\u672c\u822a\u7a7a\u5b87\u5b99\u5b66\u4f1a \u548c\u6587\u8ad6\u6587\u96c667\u5dfb5\u53f7\uff0cp.152-158, 2019<\/p>\n<p>Naoto MORITA, Masaharu HIRUMA, Takeshi TSUCHIYA, shuji OGAWA, \u300cComparison of a Sub-orbital Plane\u2019s Trajectory with Results from Panel Method and \u201cCFD\u201d\u300d, 30th International Symposium on Space Technology and Science, June 15-21, 2019<\/p>\n<p>Naoto MORITA, Takeshi Tsuchiya,\u300cMDO of HypersonicWaverider with Trajectory-Aero-Structure Coupling\u300d23rd AIAA International Space Planes and Hypersonic Systems and Technologies Conference, March 10, 2019<\/p>\n","protected":false},"excerpt":{"rendered":"<p>2025\u5e74\u5ea6 Yoshioka, K., Morita, N., and Tsuchiya, T.: Stall Recovery Method with Optimal Control for T-tail Trans [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.flight.t.u-tokyo.ac.jp\/index.php?rest_route=\/wp\/v2\/pages\/664"}],"collection":[{"href":"https:\/\/www.flight.t.u-tokyo.ac.jp\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.flight.t.u-tokyo.ac.jp\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.flight.t.u-tokyo.ac.jp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.flight.t.u-tokyo.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=664"}],"version-history":[{"count":13,"href":"https:\/\/www.flight.t.u-tokyo.ac.jp\/index.php?rest_route=\/wp\/v2\/pages\/664\/revisions"}],"predecessor-version":[{"id":2142,"href":"https:\/\/www.flight.t.u-tokyo.ac.jp\/index.php?rest_route=\/wp\/v2\/pages\/664\/revisions\/2142"}],"wp:attachment":[{"href":"https:\/\/www.flight.t.u-tokyo.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=664"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}