期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 37, 期 3, 页码 2214-2221出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2009.07.052
关键词
Boiler-turbine; Fuzzy model; System identification; Fuzzy c-regressive model
类别
资金
- Special Research Foundation for the Public Welfare industry of the Ministry of Science and Technology
- Ministry of Water Resources [200701008]
- National Natural Science Foundation of China [50539140]
In order to build accurate model for complicated nonlinear system in engineering. like boiler-turbine system, a novel fuzzy-modeling approach is proposed, which is based on a new fuzzy c-regression model (NFCRM) clustering algorithm and is able to determine the right number of rules automatically. In this method, NFCRM is applied to build the fuzzy structure and then identify the premise parameters; a new criterion is proposed to auto determine the number of rules in fuzzy modeling; after the fuzzy rules have been decided, orthogonal least square is exploited to identify the consequent parameters. Simulation examples are given to demonstrate the validity of the proposed modeling approach, and the results show the new approach is very efficient with high accuracy. Finally, the new approach is applied in fuzzy modeling of a typical boiler-turbine system successfully. (C) 2009 Elsevier Ltd. All rights reserved.
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