Partially coupled estimation algorithm for discrete-time multiple-input multiple-output systems

摘要：

In this paper, a partially coupled recursive least squares (PC-RLS) algorithm is proposed to estimate the parameters of a class of multivariable systems. The .rst step is to decompose the identi.cation model into submodels or subsystems, resulting in the subsystem least squares (S-RLS) algorithm. For the same parameters contained in each submodel, the PC-RLS algorithm is to couple the estimation of the common parameters of each submodel one by one, while the estimates of the common parameters are mutually independent for the S-RLS algorithm. The analysis shows that the PC-RLS algorithm requires less computational burden than the standard recursive least squares method and the S-RLS method. The simulation tests verify the effectiveness of the proposed algorithm.

关键词： Recursive identi.cation partially coupled parameter estimation least squares multivariable systems

作者: Yanjun Liu Rui Ding

作者单位: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education),Jiangnan Unive School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, PR China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 2093-2098

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）