Least squares identification method for differential equations of gene regulatory networks

摘要：

　　This paper transforms a differential equation model of a gene regulatory network into a discrete equation by using the explicit Euler method.A recursive least squares algorithm is presented to generate the parameter estimates by replacing the unknown true outputs with their estimates.The simulation results indicate that the proposed algorithm is effective and is of a high estimation accuracy.

关键词： Gene regulatory networks Differential equation Least squares Parameter estimation System identification

作者: GAO Yanpu WANG Dongqing

作者单位: College of Automation Engineering,Qingdao University,Qingdao 266071,P.R.China

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: 6764-6768

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）