10 0 0 0 OA T-2 CCVの Pilot-Induced Oscillation (PIO) 特性とその改善
- 著者
- 菅野 秀樹 片柳 亮二
- 出版者
- 一般社団法人 日本航空宇宙学会
- 雑誌
- 日本航空宇宙学会誌 (ISSN:00214663)
- 巻号頁・発行日
- vol.43, no.498, pp.405-414, 1995-07-05 (Released:2010-12-16)
- 参考文献数
- 5
- 被引用文献数
- 1 2
Pilot-Induced Oscillation (PIO) was encountered in the company flight test of the T-2CCV research vehicle. The main cause of the roll PIO was due to unexpected large pilot input and to increased delay of the aircraft response by its large pilot input. The delay of roll response has much difference between with large input and with small input. That is why the flight control system falls into nonlinear system by actuator rate limit in case of controlling the aircraft with large pilot input. This paper shows analysis of the characteristics of the PIO and its improvement.
7 0 0 0 OA XF-2の飛行制御システム設計
- 著者
- 井出 正城 堀江 和宏 片柳 亮二 山本 真生 橋本 和典 佐竹 伸正
- 出版者
- 一般社団法人 日本航空宇宙学会
- 雑誌
- 日本航空宇宙学会誌 (ISSN:00214663)
- 巻号頁・発行日
- vol.48, no.555, pp.233-240, 2000-04-05 (Released:2019-04-11)
3 0 0 0 ジョルジュ・パパゾフ--ダダイストあるいは初期超現実派の異色画家
2 0 0 0 OA ついに来た!ゲノム解析第3世代の波
1 0 0 0 OA 中華人民共和国建国前後における 「民主」 について :「民主派知識人」 を中心に
- 著者
- 柳 亮輔
- 出版者
- 北海道大学大学院法学研究科
- 雑誌
- 北大法学研究科ジュニア・リサーチ・ジャーナル
- 巻号頁・発行日
- vol.10, pp.41-71, 2004-01
1 0 0 0 OA リンクの動的生成を用いたチーム編成の効率化の提案と評価
- 著者
- 片柳 亮太 菅原 俊治
- 出版者
- 一般社団法人 人工知能学会
- 雑誌
- 人工知能学会論文誌 (ISSN:13460714)
- 巻号頁・発行日
- vol.26, no.1, pp.76-85, 2011 (Released:2011-01-06)
- 参考文献数
- 8
- 被引用文献数
- 1
We propose an effective method of dynamic reorganization using reinforcement learning for the team formation in multi-agent systems (MAS). A task in MAS usually consists of a number of subtasks that require their own resources, and it has to be processed in the appropriate team whose agents have the sufficient resources. The resources required for tasks are often unknown \ extit{a priori} and it is also unknown whether their organization is appropriate to form teams for the given tasks or not. Therefore, their organization should be adopted according to the environment where agents are deployed. In this paper, we investigated how the structures of network and the number of tasks affect team formations of the agents. We will show that the utility and the success of the team formation is deeply affected by depth of the tree structure and number of tasks.