中国科学院机构知识库网格系统: 检索

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	A Marine Boundary Guard (Jellyfish-Scallop-Flying Fish) Robot Based on Cloud-Sea Computing in 5G OGCE 会议论文 OAI收割 Virtual, Online, Hong kong, April 21-23, 2021 作者: Lv Z(吕志); Wang ZF(王忠锋); Lv Y(吕毅); Yuan MZ(苑明哲) \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2022/03/07 Marine boundary guard (MBG) robot Jellyfish scallops flying-fish (JSF) robot Tentacle robot Self-generating electricity Cloud-Sea computing (CSC) model 5G OGCE Distributed artificial intelligence (Distributed AI) 5G/6G
	An Architecture and Joint Robot Group for a Long-Range Dynamic Combinatorial Flying Complex Based on Cloud Sea Computing in 5G OGCE 会议论文 OAI收割 Changsha, Hunan, China, September 24-26, 2021 作者: Lv Z(吕志); Yuan MZ(苑明哲); Lv Y(吕毅); Wang ZF(王忠锋) \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2022/04/13 5G OGCE 5G/6G Cloud Sea Computing (CSC) Model Combinatorial Flying Complex (CFC) Distributed Artificial Intelligence (Distributed AI) Joint Robot Group (JRG)
	A Learning Model for Racket Motion Decision in Ping-Pong Robotic System 期刊论文 OAI收割 ASIAN JOURNAL OF CONTROL, 2016, 卷号: 18, 期号: 1, 页码: 236-246 作者: Su, Hu; Xu, De; Chen, Guodong; Fang, Zaojun; Tan, Min \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2016/06/14 Returning Velocity Fuzzy Correcting Algorithm Table Tennis Flying Model Experimental Data
	A servo control system of dynamic target simulation device for aerial camera (EI CONFERENCE) 会议论文 OAI收割 2nd International Conference on Advanced Design and Manufacturing Engineering, ADME 2012, August 16, 2012 - August 18, 2012, Taiyuan, China 作者: Ji Q. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 This article introduces a dynamic target simulation device to evaluate dynamic image quality of the aerial camera. The device simulated the positional relationship of the sky and ground in the laboratory when aerial camera flies at high altitude. And it can be used to inspect camera image quality of aerial camera flying at high altitude in laboratory. At a same time the article focuses on this servo control system of device building a control model and giving control strategy. The servo control system was proved stably and reliably after experimental verification. And it provides a strong guarantee for the test of the dynamic image. (2012) Trans Tech Publications Switzerland.
	Evaluating the Phylogenetic Position of Chinese Tree Shrew (Tupaia belangeri chinensis) Based on Complete Mitochondrial Genome: Implication for Using Tree Shrew as an Alternative Experimental Animal to Primates in Biomedical Research 期刊论文 OAI收割 JOURNAL OF GENETICS AND GENOMICS, 2012, 卷号: 39, 期号: 3, 页码: 131-137 作者: Xu L; Chen SY; Nie WH; Jiang XL; Yao YG[*] 收藏 \| 浏览/下载：10/0 \| 提交时间：2012/04/20 Chinese tree shrew mtDNA Phylogeny Animal model Flying lemur
	Research on model reference sliding mode control in roll stabilization of aerocraft (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Electric Information and Control Engineering, ICEICE 2011, April 15, 2011 - April 17, 2011, Wuhan, China Chu H.-R. 收藏 \| 浏览/下载：40/0 \| 提交时间：2013/03/25 Aimed at aerospace roll stabilization control arithmetic based on model reference sliding mode variable structure theory and chattering reduction arithmetic are formulated. Correctness and validity of arithmetic are analyzed. With flight dynamics the roll-loop mathematic model and reference model are established. Sliding hyperplane is deduced based on model reference sliding mode variable structure theory. Combing with reaching law control law is derived and stability of roll-loop is analyzed. Chattering of aileron instructions is alleviate by using boundary layer approach. Digital flying simulation result shows that variable structure control arithmetic realized roll stabilization control the roll angle is less than 5.3 under powered flight and that of unpowered flight is less than 0.5 respectively. The command fin angle is less than 1.5. High frequency chattering of fin command nearby the minimum velocity was trailed off by chattering reduction arithmetic. The sliding mode control arithmetic show good performance when aerodynamic coefficients varies 20%. The control arithmetic is easy to be implemented for its simplicity. 2011 IEEE.
	乒乓球机器人视觉测量与控制学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2010 作者: 张正涛收藏 \| 浏览/下载：164/0 \| 提交时间：2015/09/02 乒乓球机器人目标跟踪飞行模型碰撞模型轨迹预测三维视觉仿真 Table Tennis Robot target tracking flying model rebound model trajectory prediction 3D simulation
	Enhanced LQR control for unmanned helicopter in hover 会议论文 OAI收割 1st International Symposium on Systems and Control in Aerospace and Astronautics, Harbin, China, January 19-21, 2006 作者: Jiang Z(姜哲); Han JD(韩建达); Wang YC(王越超); Song Q(宋崎) 收藏 \| 浏览/下载：24/0 \| 提交时间：2012/06/06 Real time adaptability is of central importance for the control of Unmanned Helicopter flying under different circumstances. In this paper an active model is employed to handle the time varying uncertainties involved in the helicopter dynamics during flight. In the scheme a normal LQR control designed from a simplified model at hovering is enhanced by means of Unscented-Kalman-Filter (UKF) based estimation which tries to online capture the error between the simplified model and the full dynamics. This is intended to achieve adaptive performance without the need of adjusting the controller modes or parameters along with the changing dynamics of helicopter. Simulations with respect to a model helicopter are conducted to verify both the UKF-based estimation and the enhanced LQR control. Results are also demonstrated with the normal LQR control with the active model enhancement.