中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Solution of Mixed Integer Linear Programming for Obstacle-Avoided Pursuit Problem

文献类型:会议论文

作者Yang LY(杨丽英); Han JD(韩建达); Wu CD(吴成东); Nie YY(聂义勇)
出版日期2008
会议名称International Joint Conference on Neural Networks
会议日期June 1-8, 2008
会议地点Hong Kong, China
页码110-116
通讯作者杨丽英
中文摘要In this paper the path planning for obstacle-avoided pursuit problem (OAP) is studied. The OAP models based on the mixed integer linear programming (MILP) is presented. In the OAP models, the dynamic equation of mass point with linear damping is taken as the state equation of vehicle's motion. Integer variables are used to describe the relative position of vehicle and obstacles. "Expansible Target Size" is proposed to describe the pursuit process for target step-by-step. "Pursuit Direction" of vehicle is defined. The Isometric Plane Method selected integer variables is used to solve MILP pursuit problem. How to select the integer variables of inner point is also given. Finally, simulations are given to show the efficiency of the method.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者IEEE
会议录2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISSN号1098-7576
ISBN号978-1-4244-1820-6
WOS记录号WOS:000263827200018
源URL[http://ir.sia.cn/handle/173321/8521]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Yang LY,Han JD,Wu CD,et al. A Solution of Mixed Integer Linear Programming for Obstacle-Avoided Pursuit Problem[C]. 见:International Joint Conference on Neural Networks. Hong Kong, China. June 1-8, 2008.

入库方式: OAI收割

来源:沈阳自动化研究所

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