Simultaneous structure identification and parameter estimation of multivariable systems†
作者:
SHAOHUA NIU,
D.GRANT FISHER,
期刊:
International Journal of Control
(Taylor Available online 1994)
卷期:
Volume 59,
issue 5
页码: 1127-1141
ISSN:0020-7179
年代: 1994
DOI:10.1080/00207179408923123
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A recursive identification algorithm for multivariable systems is developed by extending the SISO augmented UD identification (AUDI) algorithm developed by Niu, Fisher and Xiao in 1992. This least-squares type algorithm has a simple, compact structure and provides simultaneous identification of model structure and parameters, with excellent numerical properties. A multivariable input/output difference equation model is used as the model representation for identification, and it is shown how the corresponding (unique) canonical state-space representation can also be generated by a straightforward transformation. The algorithm is easier to interpret and more straightforward to implement than the corresponding RLS approaches.
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