The Application of Maximum Differential Algorithm in Adaptive Ocean Sampling

摘要：

　　This paper presents a technique for adaptive ocean sampling using ocean sampling platforms equipped with multiple sensors.The virtual environment of 2D ocean sampling is established,so as to simulate the ocean sampling region by means of the sampling platforms.There are three important phases which can be written as collecting scientific data,drawing the sampling area,and utilizing the maximum differential algorithm (MDA) in ocean sampling.By analyzing the sampling data and using the maximum differential algorithm,the sampling platforms achieve the optimizing sampling path.The simulation results by adaptive ocean sampling of single sampling platform and multiple platforms show that the proposed approach is effective and feasible.This method can be applied to conduct the moving direction based on the ocean sampling platforms.

关键词： Ocean sampling platforms Adaptive sampling Maximum differential algorithm Optimal sampling path

作者: Qingchun Li Junwei Gao Sheng Guan Bin Zhang Ziwen Leng

作者单位: College of Automation Engineering, Qingdao University, Qingdao 266071, China;Institute of Automation College of Automation Engineering, Qingdao University, Qingdao 266071, China The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 328-332

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）