自主机器人系统研究与应用学术报告会
报告题目：RSSI based localization enhancement and Deterministic Periodic Gossip
报告人：Yiming (Alex) Ji
报告时间：2015年7月1日 15：00-16：00
报告地点：第二教学楼南楼228室（自动化学院二楼会议室）
报告内容：
The presentation consists of two parts. The first part describes the real application of the previous proposed network localization bias reduction method. The proposed method is applied to the RSSI based localization system consisting of USRP N210 devices. The experiments are done both indoor and outdoor and the results verify the good performance of the proposed bias reduction method. In the second part, a deterministic method for solving the distributed consensus problem called deterministic periodic gossiping is investigated. For the deterministic periodic gossiping it is reasonable to suppose that the convergence rate will be dependent on the order of the gossips within one period. Nevertheless it is not always the case. In this presentation, we will show that based on the block lower triangular of the composite gossip matrix in directed graphs one can verify that given a periodic gossip order sequence, in which each edge restricted to gossiping once per period, one can adjust the order of arbitrary pair of edges and the convergence rate, which is evaluated by the second largest eigenvalue of the composite gossip matrix, will remain the same if neither of these two permuted edges is contained in any cycle. Additionally, the obtained results are extended to more general cases in which difference weights are assigned to the edges and the edge repetitions also exist.
报告人介绍：
Yiming (Alex) Ji obtained the PhD degree from the Australian National University in 2012. In 2013 he worked in National Information Institution Japan as a visiting researcher. 2013.10 he joined the system & control group in ANU as a research officer and 2014.3 he joined Monash university as a adjunct research fellow. Currently he works as a research officer and sessional lecture in Monash university. His research interests are in complex networks, consensus, localization and robotics.