非均匀采样数据系统的新型模型描述方法  

Novel Input-output Representation of Non-uniformly Sampled-data Systems

作　　者：谢莉[1,2] 杨慧中[1,2] 丁锋[1,2] 

机构地区：[1]江南大学轻工过程先进控制教育部重点实验室,无锡214122 [2]江南大学物联网工程学院,无锡214122

出　　处：《自动化学报》2017年第5期806-813,共8页Acta Automatica Sinica

基　　金：国家自然科学基金(61403166);江苏省自然科学基金(BK20140164);中央高校基本科研业务费专项资金(JUSRP11561;JUSRP51510)资助~~

摘　　要：提升技术是处理非均匀采样数据(Non-uniformly sampled-data,NUSD)系统的标准工具.然而,提升状态空间模型存在因果约束问题,相应的提升传递函数模型结构复杂,且参数数目过多.因此,它们不便于非均匀采样数据系统的辨识与控制.通过引入时变后移算子,本文提出了一种输入输出表达的新型模型描述方法.该模型能够克服提升系统模型的缺点,使得传统单率系统的辨识和控制方法能够推广到非均匀采样数据系统中.仿真结果表明了新模型的优越性和有效性.The lifting technique is a benchmark tool to deal with non-uniformly sampled-data （NUSD） systems. However, the lifted state space model suffers from the causality constraint problem, and the corresponding lifted transfer function model is complex and involves a large number of parameters. Therefore, they are inconvenient for the identification and control purposes. By introducing a time-varying backward shift operator, this paper proposes a novel input-output representation of NUSD systems. The proposed model can overcome the limitation of the lifted models, and make traditional identification methods and control strategies of single-rate systems applicable to NUSD systems. The simulation results illustrate the advantages and effectiveness of the novel model.

关 键 词：非均匀采样 多率系统 系统模型 传递函数模型 

分 类 号：N945.14[自然科学总论—系统科学] TP13[自动化与计算机技术—控制理论与控制工程]