Hierarchical least squares identification for periodically and non-uniformly sampled multirate systems

摘要：

For the systems which the control input and output are updated and sampled non-uniformly, the lifted state-space models are derived, and then the corresponding input-output relationships are obtained. According to the hierarchical identification principle, the obtained identification model is decomposed into two fictitious subsystems, one containing the parameter vector only, and the other containing the parameter matrix. In order to take into account the causality constraint in the lifted system model, the subsystem with the parameter matrix is also decomposed into several sub-submodels, and the hierarchical least squares identification method is developed for non-uniformly sampled systems. The simulation results indicate that the proposed algorithm is effective.

关键词： Hierarchical Identification Parameter Estimation Non-uniform Sampling Multirate Systems State-Space

作者: Yanjun Liu Feng Ding

作者单位: School of Communication and Control Engineering, Jiangnan University, Wuxi 214122, China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 3329-3334

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）