報告題目Angle-Based Sensor Network  Localization 

 

報告人井岡山博士

 

報告摘要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.

 

 報告人簡介:井岡山 北卡羅來納州立大學電子與計算機工程系博士后。 20189月于西安電子科技大學獲得控制理論與控制工程工學博士學位, 導師: 王龍教授(****,杰青)曾于201612月至20175月,以及201711月至20181月在香港理工大學應用數學系做助理研究員。 201810月至20199月在俄亥俄州立大學機械與航空工程系做博士后研究員。主要研究方向為針對網絡化系統的控制,優化與機器學習。發表sci論文20篇,其中在控制方向三大頂刊IEEE Transactions on  Automatic ControlAutomaticaSIAM  Journal on Control and  Optimization發表論文8

 

 

報告時間:20210422日周四上午10:00-11:00

報告地點騰訊會議ID361 776  503,密碼: 0422

學院聯系人 蔡文濤

 

歡迎感興趣的老師和同學參加!