中南大学学报（自然科学版）2017，Vol.48Issue(2)：389-394,6.DOI:10.11817/j.issn.1672-7207.2017.02.017
多输入动态调节系统的正交匹配追踪迭代辨识算法
Parameter and time-delay estimation for MISO dynamic adjustment systems based on orthogonal matching pursuit iterative algorithm
摘要
Abstract
For multiple-input dynamic adjustment systems with unknown time delays, based on the characteristics of sparsity of the over parameterized parameter vector, and by combining the orthogonal matching pursuit algorithm with the hierarchical iterative idea, an orthogonal matching pursuit iterative (OMPI) identification algorithm was presented. This algorithm can estimate the parameters, time delays and some of the orders of the multiple-input dynamic adjustment systems with limited sampled data. The results show that the proposed method can effectively reduce the measuring cost, and improve the identification efficiency since it requires only a small number of sampled data compared to conventional identification methods such as the least square iterative (LSI) method. The proposed algorithm can effectively estimate the parameters and time delays of such sparse systems.关键词
系统辨识/时滞与参数估计/压缩感知/正交匹配追踪/有限采样Key words
system identification/parameter and time delays estimation/compressed sensing/orthogonal matching pursuit algorithm/limited sampled data分类
信息技术与安全科学引用本文复制引用
刘艳君,陶太洋,丁锋..多输入动态调节系统的正交匹配追踪迭代辨识算法[J].中南大学学报（自然科学版）,2017,48(2):389-394,6.基金项目
国家自然科学基金资助项目(61304138) （61304138）
江苏省自然科学基金资助项目(BK20130163)(Project(61304138) supported by the National Natural Science Foundation of China （BK20130163）
Project(BK20130163) supported by the Natural Science Foundation of Jiangsu Province, China) （BK20130163）
