Recursive parameter estimation with bounded noises in the presence of missing outputs and outliers
In this paper,the problem of parameter estimation is investigated for a class of discrete-time linear systems with missing outputs and outliers.It is assumed that the unknown parameters are constant and the evolution of the systems is subject to some unknown but bounded noises.To solve such a problem,a recursive algorithm based on set membership identification is proposed and employed.Besides,the data validation is processed and outliers are set aside.The effectiveness of the algorithm is verified by performing some numerical simulations.
Parameter estimation missing output outlier bounded noise set membership identification
Wen Xie Yuanqing Xia
School of Automation,Key Laboratory of Intelligent Control and Decision of Complex Systems,Beijing Institute of Technology,Beijing 100081,China
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
5167-5172
2014-07-28（万方平台首次上网日期，不代表论文的发表时间）