中国科学院机构知识库网格系统: 检索

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	Design of a path-following controller based on a new tracked vehicle kinematics model 会议论文 OAI收割 Chengdu, China, August 1-4, 2021 作者: Meng P(孟鹏); Bai XP(白晓平); Wang Z(王卓); Shi J(时佳); Xi WL(奚文龙) \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2021/10/03 path tracking kinematic model status feedback differential steering
	AUV Docking Experiment and Improvement on Tracking Control Algorithm 会议论文 OAI收割 Wuyishan, China, August 11-13, 2018 作者: Lv HQ(吕厚权); Zheng R(郑荣); Guo JQ(国婧倩); Wei AB(魏奥博) \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2018/12/24 AUV docking path tracking fuzzy pid
	Path-tracking control of bevel-tip needles using Model Predictive Control 会议论文 OAI收割 14th IEEE International Workshop on Advanced Motion Control, AMC 2016, Auckland, New zealand, April 22-24, 2016 作者: Huo BY(霍本岩); Zhao XG(赵新刚); Han JD(韩建达); Xu WL(徐卫良) 收藏 \| 浏览/下载：47/0 \| 提交时间：2016/08/23 bevel-tip needle path-tracking MPC PSO
	A practical path tracking method for autonomous underwater gilders using iterative algorithm 会议论文 OAI收割 OCEANS 2015 MTS/IEEE, Washington, DC, United states, October 19-22, 2015 作者: Huang Y(黄琰); Yu JC(俞建成); Zhao WT(赵文涛); Jin WM(金文明); Luo YT(罗业腾) 收藏 \| 浏览/下载：17/0 \| 提交时间：2016/05/23 underwater glider path tracking regional ocean observation
	A path planning and following algorithm of observing targets for the UVMS Robocutt-I 会议论文 OAI收割 13th World Congress on Intelligent Control and Automation, 沈阳, 2014 作者: Yu Wang; Shuo Wang; Min Tan; Wang S(王硕) 收藏 \| 浏览/下载：10/0 \| 提交时间：2015/08/19 task assignment, path planning, path following,path tracking, Dubins curves
	Reentry guidance based on feedback linearization (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Electronics, Communications and Control, ICECC 2011, September 9, 2011 - September 11, 2011, Ningbo, China Li D.-W. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 This paper presents a new reentry guidance algorithm for RLV (Reusable Launching Vehicle). The algorithm consists of two integrated components: trajectory planning algorithm and tracking algorithm. The most striking feature of algorithm here lies in that both planning and tracking are executed directly in height-velocity space which is different from the methodology of configuration of drag in traditional shuttle guidance. In the session of trajectory planning all trajectory constraints can be expressed with upper bound and lower bound in height-velocity space then a linear interpolation is carried to search the nominal trajectory satisfying the requirement of downrange and target constraints. Then the tracking algorithm uses feedback linearization method to track this nominal profile and meet all constraints. Another typical feature of this algorithm is the strategy of downrange extension using FPA (flight path angle) controller to fulfill the requirement of large downrange. Proper combination of planning-tracking algorithm and FPA controller can bring great flexibility and adaptability to reentry guidance. The algorithm is proved to be robust enough to accommodate the model error and noises in the dynamics. 2011 IEEE.
	Study on navigation control method for CyberCar based on machine vision (EI CONFERENCE) 会议论文 OAI收割 2007 IEEE International Conference on Robotics and Biomimetics, ROBIO, December 15, 2007 - December 18, 2007, Yalong Bay, Sanya, China Zhang R.-H.; Wang R.-B.; You F.; Jia H.-G.; Chen T. 收藏 \| 浏览/下载：18/0 \| 提交时间：2013/03/25 The guiding principle and composition of CyberCar based on machine vision was introduced. Applying IM sequence signals as input response signals and least squares method to establish the dynamic equation for CyberCar steering system by system identification experiments firstly and then combined with the preview kinematics model and two-degree steering dynamic model of vehicle. Therefore it can trace the path steadily and reliably. 2008 IEEE. the steering control mathematics model based on preview kinematics for CyberCar was established. And then the switching hyper plane is designed by applying the optimal control theory during the change of the curve curvature radius is little the curve tracking of the intelligent vehicle is carried out by adopting sliding variable structure controller. Aim at the parameter uncertainty of tire a vehicle steering system uncertain model was founded and analyzed. A H optimal controller is designed with the method of H control theory to solve the problem about model uncertainty. The simulation and experiment results show that the controller designed by the proposed method has good robustness and adaptability