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2021年04月22日井冈山 博士线上学术报告
上传时间:2021-04-16 作者: 浏览次数:10

报告题目Angle-Based Sensor Network Localization 

 

报告人井冈山博士

 

报告摘要In this talk, I will introduce angle rigidity theory and show how it can be applied to angle-based sensor network localization (ASNL). The ASNL problem is to determine locations of all sensors in a sensor network, given locations of partial sensors (called anchors) and angle measurements obtained in the local coordinate frame of each sensor. Both centralized and distributed settings are considered, respectively. The centralized ASNL is formulated as a rank-constrained semidefinite program (SDP) in either a noise-free or a noisy scenario, with a decomposition approach proposed to deal with large-scale ASNL. The distributed protocol for ASNL is designed based on inter-sensor communications. Graphical conditions for equivalence of the rank-constrained SDP and a linear SDP, decomposition of the SDP, as well as the validity of the distributed protocol, are proposed, respectively. Simulation examples are provided to validate effectiveness of the obtained theoretical results.

 

 

报告人简介:井冈山 北卡罗来纳州立大学电子与计算机工程系博士后。 20189月于西安电子科技大学获得控制理论与控制工程工学博士学位, 导师: 王龙教授(****,杰青)曾于201612月至20175月,以及201711月至20181月在香港理工大学应用数学系做助理研究员。 201810月至20199月在俄亥俄州立大学机械与航空工程系做博士后研究员。主要研究方向为针对网络化系统的控制,优化与机器学习。发表sci论文20篇,其中在控制方向三大顶刊IEEE Transactions on Automatic ControlAutomaticaSIAM Journal on Control and Optimization发表论文8

 

 

报告时间:20210422日周四上午10:00-11:00

报告地点腾讯会议ID361 776 503,密码: 0422

学院联系人 蔡文涛

 

欢迎感兴趣的老师和同学参加!


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