Paper Info
Title
Simultaneous identification of process structure, parameters and time-delay based on non-negative garrote
Abstract
In practice, the model structure, parameters and time-delay of the actual process may vary simultaneously. However, the general identification methods of the 3 items are performed with separate procedures which is very inconvenient in practical application. In view of the fact that variable selection procedure can ensure a compact model with robust input-output relation and in order to explore the feasibility of variable selection algorithm for the simultaneous identification of process structure, parameters and time-delay, non-negative garrote (NNG) algorithm is introduced and applied to system identification and the corresponding procedures are presented. The application of NNG variable selection algorithm to the identification of single input single output (SISO) system, multiple input multiple output (MIMO) system and Wood-Berry tower industry are investigated. The identification accuracy and the time-series variable selection results are analyzed and compared between NNG and ordinary least square (OLS) algorithms. The derived excellent results show that the proposed NNG-based modeling algorithm can be utilized for simultaneous identification of the model structure, parameters and time-delay with high precision.
Year
DOI
Venue
2020
10.1007/s11633-015-0948-0
International Journal of Automation and Computing
Keywords
DocType
Volume
Model structure, model parameter, time-delay, non-negative garrote, variable selection
Journal
17
Issue
ISSN
Citations 
6
1751-8520
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Jian-Guo Wang1529.66
Qian-Ping Xiao200.34
Tiao Shen300.34
Shiwei Ma413621.79
Wen-Tao Rao500.34
Yong-Jie Zhang600.34