KDE Based Output PDF Control for Nonlinear Non-Gaussian Systems using PSO Algorithm

摘要：

　　objective of this approach is still to make the output probability density function track a desired PDF.The output PDF,which is assumed to be immeasurable,is estimated according to kernel density estimation by analyzing the output sequence of the system.The performance index is constructed with respect to the control objective and is minimized based on particle swarm optimization.A PDF tracking controller is then designed and a simulation is finally given to demonstrate the effectiveness and efficiency of the proposed algorithm.

关键词： Particle swarm optimization(PSO) Non-linear systems Non-Gaussian system Probability density function(PDF) Stochastic distribution control Tracking control Kernel density estimation(KDE)

作者: YIN Liping ZHANG Hongyan ZHOU Li WANG Hong

作者单位: School of Information and Control,Nanjing University of Information Science & Technology,Nanjing 210 School of Information and Control,Nanjing University of Information Science & Technology,Nanjing 210 School of Electrical and Electronic Engineering,the University of Manchester,Manchester M13 9PL,UK

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 5351-5356

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）