location: Current position: Prof. Tao Liu >> Scientific Research >> Paper Publications

Recursive State-space Model Identification of Non-uniformly Sampled Systems Using Singular Value Decomposition

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Indexed by:期刊论文

Date of Publication:2014-11-01

Journal:CHINESE JOURNAL OF CHEMICAL ENGINEERING

Included Journals:SCIE、EI、ISTIC、Scopus

Volume:22

Issue:11-12

Page Number:1268-1273

ISSN No.:1004-9541

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

Abstract: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.

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