Identification of a class of continuous time-varying linear systems via block pulse functions
作者:
Z. H. JIANG,
W. SCHAUFELBERGER,
期刊:
International Journal of Systems Science
(Taylor Available online 1993)
卷期:
Volume 24,
issue 8
页码: 1575-1588
ISSN:0020-7721
年代: 1993
DOI:10.1080/00207729308949581
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Starting from the relations between entries of block pulse operational matrices, block pulse regression equations corresponding to the original differential equation models with time-varying parameters are obtained. Based on simple forms of the regression equations, algorithms developed in discrete-time model identification can be applied directly to estimate the time-varying parameters of the continuous models without much modification. Compared with other identification methods for the same problem, this new method is simple, and can be applied to both batch and recursive estimations of continuous time-varying linear systems from their sampled input and output data by means of digital computers.
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