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论文类型：期刊论文

发表时间：2014-11-01

发表刊物：CHINESE JOURNAL OF CHEMICAL ENGINEERING

收录刊物：SCIE、EI、ISTIC、Scopus

卷号：22

期号：11-12

页面范围：1268-1273

ISSN号：1004-9541

关键字：Non-uniformly sampling system; State-space model identification; Singular value decomposition; Recursive algorithm

摘要：In this paper a recursive state-space model identification method is proposed for non-uniformly sampled systems in industrial applications. Two cases for measuring all states and only output(s) of such a system are considered for identification. In the case of state measurement, an identification algorithm based on the singular value decomposition (SVD) is developed to estimate the model parameter matrices by using the least-squares fitting. In the case of output measurement only, another identification algorithm is given by combining the SVD approach with a hierarchical identification strategy. An example is used to demonstrate the effectiveness of the proposed identification method. (C) 2014 The Chemical Industry and Engineering Society of China, and Chemical Industry Press. All rights reserved.