Source Term Estimation with Unknown Number of Sources using Improved Cuckoo Search Algorithm
作者单位：Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University（Beijing University of Aeronautics and Astronautics）
会议名称：《第三十九届中国控制会议》
会议日期：2020年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 080202[工学-机械电子工程] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
关 键 词：Source term estimation unknown number of sources dispersion model Improved Cuckoo Search Algorithm
摘 要：This paper is focused on the source term estimation（STE） with unknown number of sources. The dispersion model of multiple point sources is constructed firstly. Then the cost function is established by using the outputs of dispersion model and the fixed sensor network’s measurements. To ensure finding the global minimum of the cost function, the Improved Cuckoo Search（ICS） algorithm is applied. Simulations with different sensor and noise modes are designed to evaluate the estimating performance. Finally, comparison of ICS, Particle Swarm Optimization（PSO） and Genetic Algorithm（GA） proves the superiority of ICS in this problem.